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3. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019

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Alvarez, EM, Force, LM, Xu, R, Compton, K, Lu, D, Henrikson, HJ, Kocarnik, JM, Harvey, JD, Pennini, A, Dean, FE, Fu, W, Vargas, MT, Keegan, THM, Ariffin, H, Barr, RD, Erdomaeva, YA, Gunasekera, DS, John-Akinola, YO, Ketterl, TG, Kutluk, T, Malogolowkin, MH, Mathur, P, Radhakrishnan, V, Ries, LAG, Rodriguez-Galindo, C, Sagoyan, GB, Sultan, I, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdoli, A, Abebe, H, Abedi, A, Abidi, H, Abolhassani, H, Ali, HA, Abu-Gharbieh, E, Achappa, B, Acuna, JM, Adedeji, IA, Adegboye, OA, Adnani, QES, Advani, SM, Afzal, MS, Meybodi, MA, Ahadinezhad, B, Ahinkorah, BO, Ahmad, S, Ahmadi, S, Ahmed, MB, Rashid, TA, Salih, YA, Aiman, W, Akalu, GT, Al Hamad, H, Alahdab, F, AlAmodi, AA, Alanezi, FM, Alanzi, TM, Alem, AZ, Alem, DT, Alemayehu, Y, Alhalaiqa, FN, Alhassan, RK, Ali, S, Alicandro, G, Alipour, V, Aljunid, SM, Alkhayyat, M, Alluri, S, Almasri, NA, Al-Maweri, SA, Almustanyir, S, Al-Raddadi, RM, Alvis-Guzman, N, Ameyaw, EK, Amini, S, Amu, H, Ancuceanu, R, Andrei, CL, Andrei, T, Ansari, F, Ansari-Moghaddam, A, Anvari, D, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Argaw, AM, Arshad, M, Arulappan, J, Aryannejad, A, Asemi, Z, Jafarabadi, MA, Atashzar, MR, Atorkey, P, Atreya, A, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, AF, Quintanilla, BPA, Ayele, AD, Ayen, SS, Azab, MA, Azadnajafabad, S, Azami, H, Azangou-Khyavy, M, Jafari, AA, Azarian, G, Azzam, AY, Bahadory, S, Bai, J, Baig, AA, Baker, JL, Banach, M, Barnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Basaleem, H, Batiha, A-MM, Behzadifar, M, Bekele, NC, Belete, R, Belgaumi, UI, Bell, AW, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Birara, S, Bjorge, T, Bolarinwa, OA, Bolla, SR, Boloor, A, Braithwaite, D, Brenner, H, Bulamu, NB, Burkart, K, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, dos Santos, FLC, Cao, C, Cao, Y, Carreras, G, Catala-Lopez, F, Cembranel, F, Cerin, E, Chakinala, RC, Chakraborty, PA, Chattu, VK, Chaturvedi, P, Chaurasia, A, Chavan, PP, Chimed-Ochir, O, Choi, J-YJ, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Costa, VM, Daar, OB, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Amico, ED, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwish, AH, Daryani, A, De la Hoz, FP, Debela, SA, Demie, TGG, Demissie, GD, Demissie, ZG, Denova-Gutierrez, E, Molla, MD, Desai, R, Desta, AA, Dhamnetiya, D, Dharmaratne, SD, Dhimal, ML, Dhimal, M, Dianatinasab, M, Didehdar, M, Diress, M, Djalalinia, S, Huyen, PD, Doaei, S, Dorostkar, F, dos Santos, WM, Drake, TM, Ekholuenetale, M, El Sayed, I, Zaki, MES, El Tantawi, M, El-Abid, H, Elbahnasawy, MA, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, S, Enyew, DB, Erkhembayar, R, Eshrati, B, Eskandarieh, S, Faisaluddin, M, Fares, J, Farooque, U, Fasanmi, AO, Fatima, W, Ferreira de Oliveira, JMP, Ferrero, S, Desideri, LF, Fetensa, G, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gaewkhiew, P, Gallus, S, Garg, T, Gemeda, BNB, Getachew, T, Ghafourifard, M, Ghamari, S-H, Ghashghaee, A, Ghassemi, F, Ghith, N, Gholami, A, Navashenaq, JG, Gilani, SA, Ginindza, TG, Gizaw, AT, Glasbey, JC, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, BNG, Grada, A, Gubari, MIM, Guerra, MR, Guha, A, Gupta, B, Gupta, S, Gupta, VB, Gupta, VK, Haddadi, R, Hafezi-Nejad, N, Hailu, A, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hambisa, MT, Hameed, S, Hamidi, S, Haque, S, Hariri, S, Haro, JM, Hasaballah, A, Hasan, SMM, Hashemi, SM, Hassan, TS, Hassanipour, S, Hay, S, Hayat, K, Hebo, SH, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Heyi, DZ, Hezam, K, Hole, MK, Holla, R, Horita, N, Hossain, MM, Hossain, MB, Hosseini, M-S, Hosseini, M, Hosseinzadeh, A, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hussein, NR, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Innos, K, Irham, LM, Islam, RM, Islam, SMS, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jadidi-Niaragh, F, Jain, V, Jakovljevic, M, Janghorban, R, Mamaghani, AJ, Jayaram, S, Jayawardena, R, Jazayeri, SB, Jebai, R, Jha, RP, Joo, T, Joseph, N, Joukar, F, Jurisson, M, Kaambwa, B, Kabir, A, Kalankesh, LR, Kaliyadan, F, Kamal, Z, Kamath, A, Kandel, H, Kar, SS, Karaye, IM, Karimi, A, Kassa, BG, Kauppila, JH, Bohan, PMK, Kengne, AP, Kerbo, AA, Keykhaei, M, Khader, YS, Khajuria, H, Khalili, N, Khan, EA, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khanali, J, Khayamzadeh, M, Khosravizadeh, O, Khubchandani, J, Khundkar, R, Kim, MS, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kolahi, A-A, Kopec, JA, Koteeswaran, R, Laxminarayana, SLK, Koyanagi, A, Kugbey, N, Kumar, GA, Kumar, N, Kwarteng, A, La Vecchia, C, Lan, Q, Landires, I, Lasrado, S, Lauriola, P, Ledda, C, Lee, S-W, Lee, W-C, Lee, YY, Lee, YH, Leigh, J, Leong, E, Li, B, Li, J, Li, M-C, Lim, SS, Liu, X, Lobo, SW, Loureiro, JA, Lugo, A, Lunevicius, R, Abd El Razek, HM, Razek, MMAE, Mahmoudi, M, Majeed, A, Makki, A, Male, S, Malekpour, M-R, Malekzadeh, R, Malik, AA, Mamun, MA, Manafi, N, Mansour-Ghanaei, F, Mansouri, B, Mansournia, MA, Martini, S, Masoumi, SZ, Matei, CN, Mathur, MR, McAlinden, C, Mehrotra, R, Mendoza, W, Menezes, RG, Mentis, A-FA, Meretoja, TJ, Mersha, AG, Mesregah, MK, Mestrovic, T, Jonasson, JM, Miazgowski, B, Michalek, IM, Miller, TR, Mingude, AB, Mirmoeeni, S, Mirzaei, H, Misra, S, Mithra, P, Mohammad, KA, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohammed, TA, Moka, N, Mokdad, AH, Molokhia, M, Momtazmanesh, S, Monasta, L, Moni, MA, Moradi, G, Moradi, Y, Moradzadeh, M, Moradzadeh, R, Moraga, P, Morrison, SD, Mostafavi, E, Khaneghah, AM, Mpundu-Kaambwa, C, Mubarik, S, Mwanri, L, Nabhan, AF, Nagaraju, SP, Nagata, C, Naghavi, M, Naimzada, MD, Naldi, L, Nangia, V, Naqvi, AA, Swamy, SN, Narayana, AI, Nayak, BP, Nayak, VC, Nazari, J, Nduaguba, SO, Negoi, I, Negru, SM, Nejadghaderi, SA, Nepal, S, Kandel, SN, Nggada, HA, Nguyen, CT, Nnaji, CA, Nosrati, H, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nwatah, VE, Nzoputam, CI, Oancea, B, Odukoya, OO, Oguntade, AS, Oh, I-H, Olagunju, AT, Olagunju, TO, Olakunde, BO, Oluwasanu, MM, Omar, E, Bali, AO, Ong, S, Onwujekwe, OE, Ortega-Altamirano, D, Otstavnov, N, Otstavnov, SS, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Pakshir, K, Pana, A, Pandey, A, Pardhan, S, Kan, FP, Pasovic, M, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, RB, Peres, MFP, Perianayagam, A, Postma, MJ, Pourjafar, H, Pourshams, A, Prashant, A, Pulakunta, T, Qadir, MMFF, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Rafiee, A, Rafiei, A, Rafiei, S, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajesh, A, Ramezani-Doroh, V, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rashedi, S, Rashidi, M-M, Rath, GK, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, MS, Regasa, MT, Renzaho, AMN, Rezaei, M, Rezaei, N, Rezaeian, M, Rezapour, A, Rezazadeh-Khadem, S, Riad, A, Lopez, LER, Rodriguez, JAB, Ronfani, L, Roshandel, G, Rwegerera, GM, Saber-Ayad, MM, Sabour, S, Saddik, B, Sadeghi, E, Sadeghian, S, Saeed, U, Sahebkar, A, Saif-Ur-Rahman, KM, Sajadi, SM, Salahi, S, Salehi, S, Salem, MR, Salimzadeh, H, Samy, AM, Sanabria, J, Sanmarchi, F, Sarveazad, A, Sathian, B, Sawhney, M, Sawyer, SM, Saylan, M, Schneider, IJC, Seidu, A-A, Sekerija, M, Sendo, EG, Sepanlou, SG, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikhbahaei, S, Shetty, A, Shetty, BSK, Shetty, PH, Shin, JI, Shirkoohi, R, Shivakumar, KM, Shobeiri, P, Siabani, S, Sibhat, MM, Malleshappa, SKS, Sidemo, NB, Silva, DAS, Julian, GS, Singh, AD, Singh, JA, Singh, JK, Singh, S, Sinke, AH, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Smith, L, Sofi-Mahmudi, A, Soltani-Zangbar, MS, Song, S, Spurlock, EE, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Abdulkader, RS, Sultana, S, Szerencses, V, Szocska, M, Tabaeian, SP, Tabaras-Seisdedos, R, Tabary, M, Tabuchi, T, Tadbiri, H, Taheri, M, Taherkhani, A, Takahashi, K, Tampa, M, Tan, K-K, Tat, VY, Tavakoli, A, Tbakhi, A, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tesfaye, B, Thakur, JS, Thapar, R, Thavamani, A, Thiyagarajan, A, Thomas, N, Tobe-Gai, R, Togtmol, M, Tohidast, SA, Tohidinik, HR, Tolani, MA, Tollosa, DN, Touvier, M, Tovani-Palone, MR, Traini, E, Bach, XT, Mai, TNT, Tripathy, JP, Tusa, BS, Ukke, GG, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Ushula, TW, Vacante, M, Tahbaz, SV, Varthya, SB, Veroux, M, Villeneuve, PJ, Violante, FS, Vlassov, V, Giang, TV, Waheed, Y, Wang, N, Ward, P, Weldesenbet, AB, Wen, YF, Westerman, R, Winkler, AS, Wubishet, BL, Xu, S, Jabbari, SHY, Yang, L, Yaya, S, Yazdi-Feyzabadi, V, Yazie, TS, Yehualashet, SS, Yeshaneh, A, Yeshaw, Y, Yirdaw, BW, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yunusa, I, Zadnik, V, Zahir, M, Moghadam, TZ, Zamani, M, Zamanian, M, Zandian, H, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhang, Z-J, Ziapour, A, Zoladl, M, Murray, CJL, Fitzmaurice, C, Bleyer, A, Bhakta, N, Gebremeskel, TG, Alvarez, EM, Force, LM, Xu, R, Compton, K, Lu, D, Henrikson, HJ, Kocarnik, JM, Harvey, JD, Pennini, A, Dean, FE, Fu, W, Vargas, MT, Keegan, THM, Ariffin, H, Barr, RD, Erdomaeva, YA, Gunasekera, DS, John-Akinola, YO, Ketterl, TG, Kutluk, T, Malogolowkin, MH, Mathur, P, Radhakrishnan, V, Ries, LAG, Rodriguez-Galindo, C, Sagoyan, GB, Sultan, I, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdoli, A, Abebe, H, Abedi, A, Abidi, H, Abolhassani, H, Ali, HA, Abu-Gharbieh, E, Achappa, B, Acuna, JM, Adedeji, IA, Adegboye, OA, Adnani, QES, Advani, SM, Afzal, MS, Meybodi, MA, Ahadinezhad, B, Ahinkorah, BO, Ahmad, S, Ahmadi, S, Ahmed, MB, Rashid, TA, Salih, YA, Aiman, W, Akalu, GT, Al Hamad, H, Alahdab, F, AlAmodi, AA, Alanezi, FM, Alanzi, TM, Alem, AZ, Alem, DT, Alemayehu, Y, Alhalaiqa, FN, Alhassan, RK, Ali, S, Alicandro, G, Alipour, V, Aljunid, SM, Alkhayyat, M, Alluri, S, Almasri, NA, Al-Maweri, SA, Almustanyir, S, Al-Raddadi, RM, Alvis-Guzman, N, Ameyaw, EK, Amini, S, Amu, H, Ancuceanu, R, Andrei, CL, Andrei, T, Ansari, F, Ansari-Moghaddam, A, Anvari, D, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Argaw, AM, Arshad, M, Arulappan, J, Aryannejad, A, Asemi, Z, Jafarabadi, MA, Atashzar, MR, Atorkey, P, Atreya, A, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, AF, Quintanilla, BPA, Ayele, AD, Ayen, SS, Azab, MA, Azadnajafabad, S, Azami, H, Azangou-Khyavy, M, Jafari, AA, Azarian, G, Azzam, AY, Bahadory, S, Bai, J, Baig, AA, Baker, JL, Banach, M, Barnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Basaleem, H, Batiha, A-MM, Behzadifar, M, Bekele, NC, Belete, R, Belgaumi, UI, Bell, AW, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Birara, S, Bjorge, T, Bolarinwa, OA, Bolla, SR, Boloor, A, Braithwaite, D, Brenner, H, Bulamu, NB, Burkart, K, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, dos Santos, FLC, Cao, C, Cao, Y, Carreras, G, Catala-Lopez, F, Cembranel, F, Cerin, E, Chakinala, RC, Chakraborty, PA, Chattu, VK, Chaturvedi, P, Chaurasia, A, Chavan, PP, Chimed-Ochir, O, Choi, J-YJ, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Costa, VM, Daar, OB, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Amico, ED, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwish, AH, Daryani, A, De la Hoz, FP, Debela, SA, Demie, TGG, Demissie, GD, Demissie, ZG, Denova-Gutierrez, E, Molla, MD, Desai, R, Desta, AA, Dhamnetiya, D, Dharmaratne, SD, Dhimal, ML, Dhimal, M, Dianatinasab, M, Didehdar, M, Diress, M, Djalalinia, S, Huyen, PD, Doaei, S, Dorostkar, F, dos Santos, WM, Drake, TM, Ekholuenetale, M, El Sayed, I, Zaki, MES, El Tantawi, M, El-Abid, H, Elbahnasawy, MA, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, S, Enyew, DB, Erkhembayar, R, Eshrati, B, Eskandarieh, S, Faisaluddin, M, Fares, J, Farooque, U, Fasanmi, AO, Fatima, W, Ferreira de Oliveira, JMP, Ferrero, S, Desideri, LF, Fetensa, G, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gaewkhiew, P, Gallus, S, Garg, T, Gemeda, BNB, Getachew, T, Ghafourifard, M, Ghamari, S-H, Ghashghaee, A, Ghassemi, F, Ghith, N, Gholami, A, Navashenaq, JG, Gilani, SA, Ginindza, TG, Gizaw, AT, Glasbey, JC, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, BNG, Grada, A, Gubari, MIM, Guerra, MR, Guha, A, Gupta, B, Gupta, S, Gupta, VB, Gupta, VK, Haddadi, R, Hafezi-Nejad, N, Hailu, A, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hambisa, MT, Hameed, S, Hamidi, S, Haque, S, Hariri, S, Haro, JM, Hasaballah, A, Hasan, SMM, Hashemi, SM, Hassan, TS, Hassanipour, S, Hay, S, Hayat, K, Hebo, SH, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Heyi, DZ, Hezam, K, Hole, MK, Holla, R, Horita, N, Hossain, MM, Hossain, MB, Hosseini, M-S, Hosseini, M, Hosseinzadeh, A, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hussein, NR, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Innos, K, Irham, LM, Islam, RM, Islam, SMS, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jadidi-Niaragh, F, Jain, V, Jakovljevic, M, Janghorban, R, Mamaghani, AJ, Jayaram, S, Jayawardena, R, Jazayeri, SB, Jebai, R, Jha, RP, Joo, T, Joseph, N, Joukar, F, Jurisson, M, Kaambwa, B, Kabir, A, Kalankesh, LR, Kaliyadan, F, Kamal, Z, Kamath, A, Kandel, H, Kar, SS, Karaye, IM, Karimi, A, Kassa, BG, Kauppila, JH, Bohan, PMK, Kengne, AP, Kerbo, AA, Keykhaei, M, Khader, YS, Khajuria, H, Khalili, N, Khan, EA, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khanali, J, Khayamzadeh, M, Khosravizadeh, O, Khubchandani, J, Khundkar, R, Kim, MS, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kolahi, A-A, Kopec, JA, Koteeswaran, R, Laxminarayana, SLK, Koyanagi, A, Kugbey, N, Kumar, GA, Kumar, N, Kwarteng, A, La Vecchia, C, Lan, Q, Landires, I, Lasrado, S, Lauriola, P, Ledda, C, Lee, S-W, Lee, W-C, Lee, YY, Lee, YH, Leigh, J, Leong, E, Li, B, Li, J, Li, M-C, Lim, SS, Liu, X, Lobo, SW, Loureiro, JA, Lugo, A, Lunevicius, R, Abd El Razek, HM, Razek, MMAE, Mahmoudi, M, Majeed, A, Makki, A, Male, S, Malekpour, M-R, Malekzadeh, R, Malik, AA, Mamun, MA, Manafi, N, Mansour-Ghanaei, F, Mansouri, B, Mansournia, MA, Martini, S, Masoumi, SZ, Matei, CN, Mathur, MR, McAlinden, C, Mehrotra, R, Mendoza, W, Menezes, RG, Mentis, A-FA, Meretoja, TJ, Mersha, AG, Mesregah, MK, Mestrovic, T, Jonasson, JM, Miazgowski, B, Michalek, IM, Miller, TR, Mingude, AB, Mirmoeeni, S, Mirzaei, H, Misra, S, Mithra, P, Mohammad, KA, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohammed, TA, Moka, N, Mokdad, AH, Molokhia, M, Momtazmanesh, S, Monasta, L, Moni, MA, Moradi, G, Moradi, Y, Moradzadeh, M, Moradzadeh, R, Moraga, P, Morrison, SD, Mostafavi, E, Khaneghah, AM, Mpundu-Kaambwa, C, Mubarik, S, Mwanri, L, Nabhan, AF, Nagaraju, SP, Nagata, C, Naghavi, M, Naimzada, MD, Naldi, L, Nangia, V, Naqvi, AA, Swamy, SN, Narayana, AI, Nayak, BP, Nayak, VC, Nazari, J, Nduaguba, SO, Negoi, I, Negru, SM, Nejadghaderi, SA, Nepal, S, Kandel, SN, Nggada, HA, Nguyen, CT, Nnaji, CA, Nosrati, H, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nwatah, VE, Nzoputam, CI, Oancea, B, Odukoya, OO, Oguntade, AS, Oh, I-H, Olagunju, AT, Olagunju, TO, Olakunde, BO, Oluwasanu, MM, Omar, E, Bali, AO, Ong, S, Onwujekwe, OE, Ortega-Altamirano, D, Otstavnov, N, Otstavnov, SS, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Pakshir, K, Pana, A, Pandey, A, Pardhan, S, Kan, FP, Pasovic, M, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, RB, Peres, MFP, Perianayagam, A, Postma, MJ, Pourjafar, H, Pourshams, A, Prashant, A, Pulakunta, T, Qadir, MMFF, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Rafiee, A, Rafiei, A, Rafiei, S, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajesh, A, Ramezani-Doroh, V, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rashedi, S, Rashidi, M-M, Rath, GK, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, MS, Regasa, MT, Renzaho, AMN, Rezaei, M, Rezaei, N, Rezaeian, M, Rezapour, A, Rezazadeh-Khadem, S, Riad, A, Lopez, LER, Rodriguez, JAB, Ronfani, L, Roshandel, G, Rwegerera, GM, Saber-Ayad, MM, Sabour, S, Saddik, B, Sadeghi, E, Sadeghian, S, Saeed, U, Sahebkar, A, Saif-Ur-Rahman, KM, Sajadi, SM, Salahi, S, Salehi, S, Salem, MR, Salimzadeh, H, Samy, AM, Sanabria, J, Sanmarchi, F, Sarveazad, A, Sathian, B, Sawhney, M, Sawyer, SM, Saylan, M, Schneider, IJC, Seidu, A-A, Sekerija, M, Sendo, EG, Sepanlou, SG, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikhbahaei, S, Shetty, A, Shetty, BSK, Shetty, PH, Shin, JI, Shirkoohi, R, Shivakumar, KM, 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Abstract

BACKGROUND: In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. METHODS: Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. FINDINGS: There were 1·19 million (95% UI 1·11-1·28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5-65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8-57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14

Published
2022

4. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

Author

Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Ababneh, E, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Abbasi-Kangevari, M, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Abbastabar, H, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Abd-Elsalam, SM, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Abdoli, A, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Abedi, A, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Abidi, H, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Abolhassani, H, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Adedeji, IA, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Adnani, QES, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Advani, SM, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Afzal, MS, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Aghaali, M, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Ahinkorah, BO, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ahmad, S, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, SMS, Ahmad, T, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Ahmadi, A, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Ahmadi, S, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Ahmed Rashid, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Ahmed Salih, Y, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Akalu, GT, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Aklilu, A, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Akram, T, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Akunna, CJ, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Al Hamad, H, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Alahdab, F, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Al-Aly, Z, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, 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Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Al-Maweri, SAA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Almustanyir, S, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Alonso, N, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Alvis-Guzman, N, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Amu, H, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Anbesu, EW, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Ancuceanu, R, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Ansari, F, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Ansari-Moghaddam, A, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Antwi, MH, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Anvari, D, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Anyasodor, AE, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Aqeel, M, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Arabloo, J, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Arab-Zozani, M, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Aremu, O, Murray, CJL, Force, LM, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Ababneh, E, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Abbasi-Kangevari, M, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Abbastabar, H, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Abd-Elsalam, SM, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Abdoli, A, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Abedi, A, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Abidi, H, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Abolhassani, H, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Adedeji, IA, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Adnani, QES, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Advani, SM, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Afzal, MS, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Aghaali, M, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Ahinkorah, BO, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ahmad, S, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, SMS, Ahmad, T, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Ahmadi, A, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Ahmadi, S, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Ahmed Rashid, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Ahmed Salih, Y, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Akalu, GT, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Aklilu, A, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Akram, T, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Akunna, CJ, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Al Hamad, H, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Alahdab, F, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Al-Aly, Z, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, AJ, Ali, S, Nagaraju, SP, Nagata, C, Naimzada, MD, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Ndejjo, R, Nduaguba, SO, Negoi, I, Negru, SM, Alimohamadi, Y, Neupane Kandel, S, Nguyen, CT, Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Alipour, V, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Aljunid, SM, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Alkhayyat, M, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Almasi-Hashiani, A, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Almasri, NA, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Al-Maweri, SAA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Almustanyir, S, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Alonso, N, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Alvis-Guzman, N, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Amu, H, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Anbesu, EW, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Ancuceanu, R, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Ansari, F, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Ansari-Moghaddam, A, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Antwi, MH, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Anvari, D, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Anyasodor, AE, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Aqeel, M, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Arabloo, J, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Arab-Zozani, M, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Aremu, O, Murray, CJL, Force, LM, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, and Bhattacharyya, K

Abstract

Importance: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. Objective: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. Evidence Review: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). Findings: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low

Published
2022

8. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019:A Systematic Analysis for the Global Burden of Disease Study 2019

Author

Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, Das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, SMS, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, AJ, Nagaraju, SP, Nagata, C, Naimzada, MD, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Ndejjo, R, Nduaguba, SO, Negoi, I, Negru, SM, Neupane Kandel, S, Nguyen, CT, Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Murray, CJL, Force, LM, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Kocarnik, J, Compton, K, Dean, F, Fu, W, Gaw, B, Harvey, J, Henrikson, H, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, S, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, I, Adnani, Q, Advani, S, Afzal, M, Aghaali, M, Ahinkorah, B, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, G, Aklilu, A, Akram, T, Akunna, C, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, S, Alkhayyat, M, Almasi-Hashiani, A, Almasri, N, Al-Maweri, S, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, E, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, M, Anvari, D, Anyasodor, A, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, A, Ayala Quintanilla, B, Ayenew, T, Azab, M, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, A, Badiye, A, Bahadory, S, Baig, A, Baker, J, Balakrishnan, S, Banach, M, Barnighausen, T, 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M, El-Jaafary, S, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, E, Fares, J, Farzadfar, F, Feroze, A, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, J, Foroutan, M, Fukumoto, T, Gaal, P, Gad, M, Gadanya, M, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, S, Ginindza, T, Gizaw, A, Glasbey, J, Golechha, M, Goleij, P, Gomez, R, Gopalani, S, Gorini, G, Goudarzi, H, Grosso, G, Gubari, M, Guerra, M, Guha, A, Gunasekera, D, Gupta, B, Gupta, V, Gutierrez, R, Hafezi-Nejad, N, Haider, M, Haj-Mirzaian, A, Halwani, R, Hamadeh, R, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, N, Haro, J, Hasaballah, A, Hassanipour, S, Hay, R, Hay, S, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, B, Herteliu, C, Hezam, K, Holla, R, Hossain, M, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, F, Hussain, R, Hussein, N, Hwang, B, 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Mansournia, M, Martini, S, Masoumi, S, Mathur, P, Mckee, M, Mehrotra, R, Mendoza, W, Menezes, R, Mengesha, E, Mesregah, M, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mirzaei, H, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, K, Mohammad, Y, Mohammadi, M, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, A, Molokhia, M, Monasta, L, Moni, M, Moosavi, M, Moradi, Y, Moraga, P, Morgado-Da-Costa, J, Morrison, S, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, A, Nagaraju, S, Nagata, C, Naimzada, M, Nangia, V, Naqvi, A, Narasimha Swamy, S, Ndejjo, R, Nduaguba, S, Negoi, I, Negru, S, Neupane Kandel, S, Nguyen, C, Nguyen, H, Niazi, R, Nnaji, C, Noor, N, Nunez-Samudio, V, Nzoputam, C, Oancea, B, Ochir, C, Odukoya, O, Ogbo, F, Olagunju, A, Olakunde, B, Omar, E, Omar Bali, A, Omonisi, A, Ong, S, Onwujekwe, O, Orru, H, Ortega-Altamirano, D, Otstavnov, N, Otstavnov, S, Owolabi, M, P A, M, Padubidri, J, Pakshir, K, Pana, A, 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M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, J, Shetty, P, Shibuya, K, Shirkoohi, R, Shivakumar, K, Shivarov, V, Siabani, S, Siddappa Malleshappa, S, Silva, D, Singh, J, Sintayehu, Y, Skryabin, V, Skryabina, A, Soeberg, M, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, M, Sultan, I, Sultana, S, Sur, D, Szerencses, V, Szocska, M, Tabares-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, I, Tan, K, Tat, V, Tedla, B, Tefera, Y, Tehrani-Banihashemi, A, Temsah, M, Tesfay, F, Tessema, G, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, H, Touvier, M, Tovani-Palone, M, Traini, E, Tran, B, Tran, K, Tran, M, Tripathy, J, Tusa, B, Ullah, I, Ullah, S, Umapathi, K, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, D, Veroux, M, Violante, F, Vlassov, V, Vo, B, Volovici, V, Vu, G, Waheed, Y, Wamai, R, Ward, P, Wen, Y, Westerman, R, Winkler, A, Yadav, L, Yahyazadeh Jabbari, S, Yang, L, Yaya, S, Yazie, T, Yeshaw, Y, Yonemoto, N, Younis, M, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, M, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, I, Fitzmaurice, C, Murray, C, Force, L, Kocarnik J.M., Compton K., Dean F.E., Fu W., Gaw B.L., Harvey J.D., Henrikson H.J., Lu D., Pennini A., Xu R., Ababneh E., Abbasi-Kangevari M., Abbastabar H., Abd-Elsalam S.M., Abdoli A., Abedi A., Abidi H., Abolhassani H., Adedeji I.A., Adnani Q.E.S., Advani S.M., Afzal M.S., Aghaali M., Ahinkorah B.O., Ahmad S., Ahmad T., Ahmadi A., Ahmadi S., Ahmed Rashid T., Ahmed Salih Y., Akalu G.T., Aklilu A., Akram T., Akunna C.J., Al Hamad H., Alahdab F., Al-Aly Z., Ali S., Alimohamadi Y., Alipour V., Aljunid S.M., Alkhayyat M., Almasi-Hashiani A., Almasri N.A., Al-Maweri S.A.A., Almustanyir S., Alonso N., Alvis-Guzman N., Amu H., Anbesu E.W., Ancuceanu R., Ansari F., Ansari-Moghaddam A., Antwi M.H., Anvari D., Anyasodor A.E., Aqeel M., Arabloo J., Arab-Zozani M., Aremu O., Ariffin H., Aripov T., Arshad M., Artaman A., Arulappan J., Asemi Z., Asghari Jafarabadi M., Ashraf T., Atorkey P., Aujayeb A., Ausloos M., Awedew A.F., Ayala Quintanilla B.P., Ayenew T., Azab M.A., Azadnajafabad S., Azari Jafari A., Azarian G., Azzam A.Y., Badiye A.D., Bahadory S., Baig A.A., Baker J.L., Balakrishnan S., Banach M., Barnighausen T.W., Barone-Adesi F., Barra F., Barrow A., Behzadifar M., Belgaumi U.I., Bezabhe W.M.M., Bezabih Y.M., Bhagat D.S., Bhagavathula A.S., Bhardwaj N., Bhardwaj P., Bhaskar S., Bhattacharyya K., Bhojaraja V.S., Bibi S., Bijani A., Biondi A., Bisignano C., Bjorge T., Bleyer A., Blyuss O., Bolarinwa O.A., Bolla S.R., Braithwaite D., Brar A., Brenner H., Bustamante-Teixeira M.T., Butt N.S., Butt Z.A., Caetano dos Santos F.L., Cao Y., Carreras G., Catala-Lopez F., Cembranel F., Cerin E., Cernigliaro A., Chakinala R.C., Chattu S.K., Chattu V.K., Chaturvedi P., Chimed-Ochir O., Cho D.Y., Christopher D.J., Chu D.-T., Chung M.T., Conde J., Cortes S., Cortesi P.A., Costa V.M., Cunha A.R., Dadras O., Dagnew A.B., Dahlawi S.M.A., Dai X., Dandona L., Dandona R., Darwesh A.M., das Neves J., De la Hoz F.P., Demis A.B., Denova-Gutierrez E., Dhamnetiya D., Dhimal M.L., Dhimal M., Dianatinasab M., Diaz D., Djalalinia S., Do H.P., Doaei S., Dorostkar F., dos Santos Figueiredo F.W., Driscoll T.R., Ebrahimi H., Eftekharzadeh S., El Tantawi M., El-Abid H., Elbarazi I., Elhabashy H.R., Elhadi M., El-Jaafary S.I., Eshrati B., Eskandarieh S., Esmaeilzadeh F., Etemadi A., Ezzikouri S., Faisaluddin M., Faraon E.J.A., Fares J., Farzadfar F., Feroze A.H., Ferrero S., Ferro Desideri L., Filip I., Fischer F., Fisher J.L., Foroutan M., Fukumoto T., Gaal P.A., Gad M.M., Gadanya M.A., Gallus S., Gaspar Fonseca M., Getachew Obsa A., Ghafourifard M., Ghashghaee A., Ghith N., Gholamalizadeh M., Gilani S.A., Ginindza T.G., Gizaw A.T.T., Glasbey J.C., Golechha M., Goleij P., Gomez R.S., Gopalani S.V., Gorini G., Goudarzi H., Grosso G., Gubari M.I.M., Guerra M.R., Guha A., Gunasekera D.S., Gupta B., Gupta V.B., Gupta V.K., Gutierrez R.A., Hafezi-Nejad N., Haider M.R., Haj-Mirzaian A., Halwani R., Hamadeh R.R., Hameed S., Hamidi S., Hanif A., Haque S., Harlianto N.I., Haro J.M., Hasaballah A.I., Hassanipour S., Hay R.J., Hay S.I., Hayat K., Heidari G., Heidari M., Herrera-Serna B.Y., Herteliu C., Hezam K., Holla R., Hossain M.M., Hossain M.B.H., Hosseini M.-S., Hosseini M., Hosseinzadeh M., Hostiuc M., Hostiuc S., Househ M., Hsairi M., Huang J., Hugo F.N., Hussain R., Hussein N.R., Hwang B.-F., Iavicoli I., Ibitoye S.E., Ida F., Ikuta K.S., Ilesanmi O.S., Ilic I.M., Ilic M.D., Irham L.M., Islam J.Y., Islam R.M., Islam S.M.S., Ismail N.E., Isola G., Iwagami M., Jacob L., Jain V., Jakovljevic M.B., Javaheri T., Jayaram S., Jazayeri S.B., Jha R.P., Jonas J.B., Joo T., Joseph N., Joukar F., Jurisson M., Kabir A., Kahrizi D., Kalankesh L.R., Kalhor R., Kaliyadan F., Kalkonde Y., Kamath A., Kameran Al-Salihi N., Kandel H., Kapoor N., Karch A., Kasa A.S., Katikireddi S.V., Kauppila J.H., Kavetskyy T., Kebede S.A., Keshavarz P., Keykhaei M., Khader Y.S., Khalilov R., Khan G., Khan M., Khan M.N., Khan M.A.B., Khang Y.-H., Khater A.M., Khayamzadeh M., Kim G.R., Kim Y.J., Kisa A., Kisa S., Kissimova-Skarbek K., Kopec J.A., Koteeswaran R., Koul P.A., Koulmane Laxminarayana S.L., Koyanagi A., Kucuk Bicer B., Kugbey N., Kumar G.A., Kumar N., Kurmi O.P., Kutluk T., La Vecchia C., Lami F.H., Landires I., Lauriola P., Lee S.-W., Lee S.W.H., Lee W.-C., Lee Y.H., Leigh J., Leong E., Li J., Li M.-C., Liu X., Loureiro J.A., Lunevicius R., Magdy Abd El Razek M., Majeed A., Makki A., Male S., Malik A.A., Mansournia M.A., Martini S., Masoumi S.Z., Mathur P., McKee M., Mehrotra R., Mendoza W., Menezes R.G., Mengesha E.W., Mesregah M.K., Mestrovic T., Miao Jonasson J., Miazgowski B., Miazgowski T., Michalek I.M., Miller T.R., Mirzaei H., Mirzaei H.R., Misra S., Mithra P., Moghadaszadeh M., Mohammad K.A., Mohammad Y., Mohammadi M., Mohammadi S.M., Mohammadian-Hafshejani A., Mohammed S., Moka N., Mokdad A.H., Molokhia M., Monasta L., Moni M.A., Moosavi M.A., Moradi Y., Moraga P., Morgado-Da-Costa J., Morrison S.D., Mosapour A., Mubarik S., Mwanri L., Nagarajan A.J., Nagaraju S.P., Nagata C., Naimzada M.D., Nangia V., Naqvi A.A., Narasimha Swamy S., Ndejjo R., Nduaguba S.O., Negoi I., Negru S.M., Neupane Kandel S., Nguyen C.T., Nguyen H.L.T., Niazi R.K., Nnaji C.A., Noor N.M., Nunez-Samudio V., Nzoputam C.I., Oancea B., Ochir C., Odukoya O.O., Ogbo F.A., Olagunju A.T., Olakunde B.O., Omar E., Omar Bali A.O., Omonisi A.E.E., Ong S., Onwujekwe O.E., Orru H., Ortega-Altamirano D.V., Otstavnov N., Otstavnov S.S., Owolabi M.O., P A M., Padubidri J.R., Pakshir K., Pana A., Panagiotakos D., Panda-Jonas S., Pardhan S., Park E.-C., Park E.-K., Pashazadeh Kan F., Patel H.K., Patel J.R., Pati S., Pattanshetty S.M., Paudel U., Pereira D.M., Pereira R.B., Perianayagam A., Pillay J.D., Pirouzpanah S., Pishgar F., Podder I., Postma M.J., Pourjafar H., Prashant A., Preotescu L., Rabiee M., Rabiee N., Radfar A., Radhakrishnan R.A., Radhakrishnan V., Rafiee A., Rahim F., Rahimzadeh S., Rahman M., Rahman M.A., Rahmani A.M., Rajai N., Rajesh A., Rakovac I., Ram P., Ramezanzadeh K., Ranabhat K., Ranasinghe P., Rao C.R., Rao S.J., Rawassizadeh R., Razeghinia M.S., Renzaho A.M.N., Rezaei N., Rezapour A., Roberts T.J., Rodriguez J.A.B., Rohloff P., Romoli M., Ronfani L., Roshandel G., Rwegerera G.M., Manjula S., Sabour S., Saddik B., Saeed U., Sahebkar A., Sahoo H., Salehi S., Salem M.R., Salimzadeh H., Samaei M., Samy A.M., Sanabria J., Sankararaman S., Santric-Milicevic M.M., Sardiwalla Y., Sarveazad A., Sathian B., Sawhney M., Saylan M., Schneider I.J.J., Sekerija M., Seylani A., Shafaat O., Shaghaghi Z., Shaikh M.A., Shamsoddin E., Shannawaz M., Sharma R., Sheikh A., Sheikhbahaei S., Shetty A., Shetty J.K., Shetty P.H., Shibuya K., Shirkoohi R., Shivakumar K.M., Shivarov V., Siabani S., Siddappa Malleshappa S.K., Silva D.A.S., Singh J.A., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soeberg M.J., Sofi-Mahmudi A., Sotoudeh H., Steiropoulos P., Straif K., Subedi R., Sufiyan M.B., Sultan I., Sultana S., Sur D., Szerencses V., Szocska M., Tabares-Seisdedos R., Tabuchi T., Tadbiri H., Taherkhani A., Takahashi K., Talaat I.M., Tan K.-K., Tat V.Y., Tedla B.A.A., Tefera Y.G., Tehrani-Banihashemi A., Temsah M., Tesfay F.H., Tessema G.A., Thapar R., Thavamani A., Thoguluva Chandrasekar V., Thomas N., Tohidinik H.R., Touvier M., Tovani-Palone M.R., Traini E., Tran B.X., Tran K.B., Tran M.T.N., Tripathy J.P., Tusa B.S., Ullah I., Ullah S., Umapathi K.K., Unnikrishnan B., Upadhyay E., Vacante M., Vaezi M., Valadan Tahbaz S., Velazquez D.Z., Veroux M., Violante F.S., Vlassov V., Vo B., Volovici V., Vu G.T., Waheed Y., Wamai R.G., Ward P., Wen Y.F., Westerman R., Winkler A.S., Yadav L., Yahyazadeh Jabbari S.H., Yang L., Yaya S., Yazie T.S.Y., Yeshaw Y., Yonemoto N., Younis M.Z., Yousefi Z., Yu C., Yuce D., Yunusa I., Zadnik V., Zare F., Zastrozhin M.S., Zastrozhina A., Zhang J., Zhong C., Zhou L., Zhu C., Ziapour A., Zimmermann I.R., Fitzmaurice C., Murray C.J.L., Force L.M., Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, Kuwait University (Kuwait), National University of Malaysia (Malasia), Alexander von Humboldt Foundation, Federal Ministry of Education & Research (Alemania), NIH - National Cancer Institute (NCI) (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Novo Nordisk Foundation, National Health and Medical Research Council (Australia), Jazan University (Arabia Saudí), Romanian National Authority for Scientific Research and Innovation, Ministry of Education (Brasil), National Heart Foundation of Australia, Ministry of Education, Science and Technological Development (Serbia), NHS - Research Scotland (Reino Unido), Medical Research Council (Reino Unido), Scottish Government (Reino Unido), Jatiya Kabi Kazi Nazrul Islam University (Bangladesh), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), King College London, National Health Service (Reino Unido), Government of the Russian Federation, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), National Council for Scientific and Technological Development (Brasil), Cancer Prevention and Research Institute of Texas (Estados Unidos), Fundação para a Ciência e Tecnologia (Portugal), Neurosurgery, Kocarnik, J. M., Compton, K., Dean, F. E., Fu, W., Gaw, B. L., Harvey, J. D., Henrikson, H. J., Lu, D., Pennini, A., Xu, R., Ababneh, E., Abbasi-Kangevari, M., Abbastabar, H., Abd-Elsalam, S. M., Abdoli, A., Abedi, A., Abidi, H., Abolhassani, H., Adedeji, I. A., Adnani, Q. E. S., Advani, S. M., Afzal, M. S., Aghaali, M., Ahinkorah, B. O., Ahmad, S., Ahmad, T., Ahmadi, A., Ahmadi, S., Ahmed Rashid, T., Ahmed Salih, Y., Akalu, G. T., Aklilu, A., Akram, T., Akunna, C. J., Al Hamad, H., Alahdab, F., Al-Aly, Z., Ali, S., Alimohamadi, Y., Alipour, V., Aljunid, S. M., Alkhayyat, M., Almasi-Hashiani, A., Almasri, N. A., Al-Maweri, S. A. A., Almustanyir, S., Alonso, N., Alvis-Guzman, N., Amu, H., Anbesu, E. W., Ancuceanu, R., Ansari, F., Ansari-Moghaddam, A., Antwi, M. H., Anvari, D., Anyasodor, A. E., Aqeel, M., Arabloo, J., Arab-Zozani, M., Aremu, O., Ariffin, H., Aripov, T., Arshad, M., Artaman, A., Arulappan, J., Asemi, Z., Asghari Jafarabadi, M., Ashraf, T., Atorkey, P., Aujayeb, A., Ausloos, M., Awedew, A. F., Ayala Quintanilla, B. P., Ayenew, T., Azab, M. A., Azadnajafabad, S., Azari Jafari, A., Azarian, G., Azzam, A. Y., Badiye, A. D., Bahadory, S., Baig, A. A., Baker, J. L., Balakrishnan, S., Banach, M., Barnighausen, T. W., Barone-Adesi, F., Barra, F., Barrow, A., Behzadifar, M., Belgaumi, U. I., Bezabhe, W. M. M., Bezabih, Y. M., Bhagat, D. S., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhaskar, S., Bhattacharyya, K., Bhojaraja, V. S., Bibi, S., Bijani, A., Biondi, A., Bisignano, C., Bjorge, T., Bleyer, A., Blyuss, O., Bolarinwa, O. A., Bolla, S. R., Braithwaite, D., Brar, A., Brenner, H., Bustamante-Teixeira, M. T., Butt, N. S., Butt, Z. A., Caetano Dos Santos, F. L., Cao, Y., Carreras, G., Catala-Lopez, F., Cembranel, F., Cerin, E., Cernigliaro, A., Chakinala, R. C., Chattu, S. K., Chattu, V. K., Chaturvedi, P., Chimed-Ochir, O., Cho, D. Y., Christopher, D. J., Chu, D. -T., Chung, M. T., Conde, J., Cortes, S., Cortesi, P. A., Costa, V. M., Cunha, A. R., Dadras, O., Dagnew, A. B., Dahlawi, S. M. A., Dai, X., Dandona, L., Dandona, R., Darwesh, A. M., Das Neves, J., De La Hoz, F. P., Demis, A. B., Denova-Gutierrez, E., Dhamnetiya, D., Dhimal, M. L., Dhimal, M., Dianatinasab, M., Diaz, D., Djalalinia, S., Do, H. P., Doaei, S., Dorostkar, F., Dos Santos Figueiredo, F. W., Driscoll, T. R., Ebrahimi, H., Eftekharzadeh, S., El Tantawi, M., El-Abid, H., Elbarazi, I., Elhabashy, H. R., Elhadi, M., El-Jaafary, S. I., Eshrati, B., Eskandarieh, S., Esmaeilzadeh, F., Etemadi, A., Ezzikouri, S., Faisaluddin, M., Faraon, E. J. A., Fares, J., Farzadfar, F., Feroze, A. H., Ferrero, S., Ferro Desideri, L., Filip, I., Fischer, F., Fisher, J. L., Foroutan, M., Fukumoto, T., Gaal, P. A., Gad, M. M., Gadanya, M. A., Gallus, S., Gaspar Fonseca, M., Getachew Obsa, A., Ghafourifard, M., Ghashghaee, A., Ghith, N., Gholamalizadeh, M., Gilani, S. A., Ginindza, T. G., Gizaw, A. T. T., Glasbey, J. C., Golechha, M., Goleij, P., Gomez, R. S., Gopalani, S. V., Gorini, G., Goudarzi, H., Grosso, G., Gubari, M. I. M., Guerra, M. R., Guha, A., Gunasekera, D. S., Gupta, B., Gupta, V. B., Gupta, V. K., Gutierrez, R. A., Hafezi-Nejad, N., Haider, M. R., Haj-Mirzaian, A., Halwani, R., Hamadeh, R. R., Hameed, S., Hamidi, S., Hanif, A., Haque, S., Harlianto, N. I., Haro, J. M., Hasaballah, A. I., Hassanipour, S., Hay, R. J., Hay, S. I., Hayat, K., Heidari, G., Heidari, M., Herrera-Serna, B. Y., Herteliu, C., Hezam, K., Holla, R., Hossain, M. M., Hossain, M. B. H., Hosseini, M. -S., Hosseini, M., Hosseinzadeh, M., Hostiuc, M., Hostiuc, S., Househ, M., Hsairi, M., Huang, J., Hugo, F. N., Hussain, R., Hussein, N. R., Hwang, B. -F., Iavicoli, I., Ibitoye, S. E., Ida, F., Ikuta, K. S., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Irham, L. M., Islam, J. Y., Islam, R. M., Islam, S. M. S., Ismail, N. E., Isola, G., Iwagami, M., Jacob, L., Jain, V., Jakovljevic, M. B., Javaheri, T., Jayaram, S., Jazayeri, S. B., Jha, R. P., Jonas, J. B., Joo, T., Joseph, N., Joukar, F., Jurisson, M., Kabir, A., Kahrizi, D., Kalankesh, L. R., Kalhor, R., Kaliyadan, F., Kalkonde, Y., Kamath, A., Kameran Al-Salihi, N., Kandel, H., Kapoor, N., Karch, A., Kasa, A. S., Katikireddi, S. V., Kauppila, J. H., Kavetskyy, T., Kebede, S. A., Keshavarz, P., Keykhaei, M., Khader, Y. S., Khalilov, R., Khan, G., Khan, M., Khan, M. N., Khan, M. A. B., Khang, Y. -H., Khater, A. M., Khayamzadeh, M., Kim, G. R., Kim, Y. J., Kisa, A., Kisa, S., Kissimova-Skarbek, K., Kopec, J. A., Koteeswaran, R., Koul, P. A., Koulmane Laxminarayana, S. L., Koyanagi, A., Kucuk Bicer, B., Kugbey, N., Kumar, G. A., Kumar, N., Kurmi, O. P., Kutluk, T., La Vecchia, C., Lami, F. H., Landires, I., Lauriola, P., Lee, S. -W., Lee, S. W. H., Lee, W. -C., Lee, Y. H., Leigh, J., Leong, E., Li, J., Li, M. -C., Liu, X., Loureiro, J. A., Lunevicius, R., Magdy Abd El Razek, M., Majeed, A., Makki, A., Male, S., Malik, A. A., Mansournia, M. A., Martini, S., Masoumi, S. Z., Mathur, P., Mckee, M., Mehrotra, R., Mendoza, W., Menezes, R. G., Mengesha, E. W., Mesregah, M. K., Mestrovic, T., Miao Jonasson, J., Miazgowski, B., Miazgowski, T., Michalek, I. M., Miller, T. R., Mirzaei, H., Mirzaei, H. R., Misra, S., Mithra, P., Moghadaszadeh, M., Mohammad, K. A., Mohammad, Y., Mohammadi, M., Mohammadi, S. M., Mohammadian-Hafshejani, A., Mohammed, S., Moka, N., Mokdad, A. H., Molokhia, M., Monasta, L., Moni, M. A., Moosavi, M. A., Moradi, Y., Moraga, P., Morgado-Da-Costa, J., Morrison, S. D., Mosapour, A., Mubarik, S., Mwanri, L., Nagarajan, A. J., Nagaraju, S. P., Nagata, C., Naimzada, M. D., Nangia, V., Naqvi, A. A., Narasimha Swamy, S., Ndejjo, R., Nduaguba, S. O., Negoi, I., Negru, S. M., Neupane Kandel, S., Nguyen, C. T., Nguyen, H. L. T., Niazi, R. K., Nnaji, C. A., Noor, N. M., Nunez-Samudio, V., Nzoputam, C. I., Oancea, B., Ochir, C., Odukoya, O. O., Ogbo, F. A., Olagunju, A. T., Olakunde, B. O., Omar, E., Omar Bali, A., Omonisi, A. E. E., Ong, S., Onwujekwe, O. E., Orru, H., Ortega-Altamirano, D. V., Otstavnov, N., Otstavnov, S. S., Owolabi, M. O., P A, M., Padubidri, J. R., Pakshir, K., Pana, A., Panagiotakos, D., Panda-Jonas, S., Pardhan, S., Park, E. -C., Park, E. -K., Pashazadeh Kan, F., Patel, H. K., Patel, J. R., Pati, S., Pattanshetty, S. M., Paudel, U., Pereira, D. M., Pereira, R. B., Perianayagam, A., Pillay, J. D., Pirouzpanah, S., Pishgar, F., Podder, I., Postma, M. J., Pourjafar, H., Prashant, A., Preotescu, L., Rabiee, M., Rabiee, N., Radfar, A., Radhakrishnan, R. A., Radhakrishnan, V., Rafiee, A., Rahim, F., Rahimzadeh, S., Rahman, M., Rahman, M. A., Rahmani, A. M., Rajai, N., Rajesh, A., Rakovac, I., Ram, P., Ramezanzadeh, K., Ranabhat, K., Ranasinghe, P., Rao, C. R., Rao, S. J., Rawassizadeh, R., Razeghinia, M. S., Renzaho, A. M. N., Rezaei, N., Rezapour, A., Roberts, T. J., Rodriguez, J. A. B., Rohloff, P., Romoli, M., Ronfani, L., Roshandel, G., Rwegerera, G. M., Manjula, S., Sabour, S., Saddik, B., Saeed, U., Sahebkar, A., Sahoo, H., Salehi, S., Salem, M. R., Salimzadeh, H., Samaei, M., Samy, A. M., Sanabria, J., Sankararaman, S., Santric-Milicevic, M. M., Sardiwalla, Y., Sarveazad, A., Sathian, B., Sawhney, M., Saylan, M., Schneider, I. J. C., Sekerija, M., Seylani, A., Shafaat, O., Shaghaghi, Z., Shaikh, M. A., Shamsoddin, E., Shannawaz, M., Sharma, R., Sheikh, A., Sheikhbahaei, S., Shetty, A., Shetty, J. K., Shetty, P. H., Shibuya, K., Shirkoohi, R., Shivakumar, K. M., Shivarov, V., Siabani, S., Siddappa Malleshappa, S. K., Silva, D. A. S., Singh, J. A., Sintayehu, Y., Skryabin, V. Y., Skryabina, A. A., Soeberg, M. J., Sofi-Mahmudi, A., Sotoudeh, H., Steiropoulos, P., Straif, K., Subedi, R., Sufiyan, M. B., Sultan, I., Sultana, S., Sur, D., Szerencses, V., Szocska, M., Tabares-Seisdedos, R., Tabuchi, T., Tadbiri, H., Taherkhani, A., Takahashi, K., Talaat, I. M., Tan, K. -K., Tat, V. Y., Tedla, B. A. A., Tefera, Y. G., Tehrani-Banihashemi, A., Temsah, M. -H., Tesfay, F. H., Tessema, G. A., Thapar, R., Thavamani, A., Thoguluva Chandrasekar, V., Thomas, N., Tohidinik, H. R., Touvier, M., Tovani-Palone, M. R., Traini, E., Tran, B. X., Tran, K. B., Tran, M. T. N., Tripathy, J. P., Tusa, B. S., Ullah, I., Ullah, S., Umapathi, K. K., Unnikrishnan, B., Upadhyay, E., Vacante, M., Vaezi, M., Valadan Tahbaz, S., Velazquez, D. Z., Veroux, M., Violante, F. S., Vlassov, V., Vo, B., Volovici, V., Vu, G. T., Waheed, Y., Wamai, R. G., Ward, P., Wen, Y. F., Westerman, R., Winkler, A. S., Yadav, L., Yahyazadeh Jabbari, S. H., Yang, L., Yaya, S., Yazie, T. S. Y., Yeshaw, Y., Yonemoto, N., Younis, M. Z., Yousefi, Z., Yu, C., Yuce, D., Yunusa, I., Zadnik, V., Zare, F., Zastrozhin, M. S., Zastrozhina, A., Zhang, J., Zhong, C., Zhou, L., Zhu, C., Ziapour, A., Zimmermann, I. R., Fitzmaurice, C., Murray, C. J. L., and Force, L. M.

Subjects
Cancer Research, GBD, 195 COUNTRIES, Global Health, 1117 Public Health and Health Services, Global Burden of Disease, SDG 3 - Good Health and Well-being, WORLDWIDE, Risk Factors, Neoplasms, SURVEILLANCE, SUPPORT, Global Burden of Disease 2019 Cancer Collaboration, Prevalence, Online First, cancer, Humans, 1112 Oncology and Carcinogenesis, public health, cancer, burden of diseases, PROGRESS, Original Investigation, Global burden, Science & Technology, CHALLENGES, Research, Incidence, Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762 [VDP], COVID-19, 1112 Oncology and Carcinogenesis, 1117 Public Health and Health Services, Disability-Adjusted Life Years, mortality, STATISTICS, Oncology, Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019 A Systematic Analysis for the Global Burden of Disease Study 2019, HEALTH-CARE, TERRITORIES, Quality-Adjusted Life Years, Life Sciences & Biomedicine, Comments
Abstract

Key Points Question What was the burden of cancer globally and across Sociodemographic Index (SDI) groupings in 2019, and how has incidence, morbidity, and mortality changed since 2010? Findings In this systematic analysis, there were 23.6 million new global cancer cases in 2019 (17.2 million when excluding those with nonmelanoma skin cancer), 10.0 million cancer deaths, and an estimated 250 million disability-adjusted life years estimated to be due to cancer; since 2010, these represent increases of 26.3%, 20.9%, and 16.0%, respectively. Absolute cancer burden increased in all SDI quintiles since 2010, but the largest percentage increases occurred in the low and low-middle SDI quintiles. Meanings The study results suggest that increased cancer prevention and control efforts are needed to equitably address the evolving and increasing burden of cancer across the SDI spectrum., Importance The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. Objective To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. Evidence Review The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). Findings In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. Conclusions and Relevance The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world., The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 examines cancer burden and trends globally for 204 countries and territories and by Socio-demographic Index quintiles from 2010 to 2019.

Published
2022

17. Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years for 29 Cancer Groups from 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019

Author

Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, and Bhojaraja, VS

Published
2021

18. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

Author

Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, Shariful, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, AJ, Nagaraju, SP, Nagata, C, Naimzada, MD, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Ndejjo, R, 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A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Murray, CJL, Force, LM, Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, Shariful, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, AJ, Nagaraju, SP, Nagata, C, Naimzada, MD, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Ndejjo, R, Nduaguba, SO, Negoi, I, Negru, SM, Neupane Kandel, S, Nguyen, CT, Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Murray, CJL, and Force, LM

Abstract

Importance: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. Objective: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. Evidence Review: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). Findings: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low

Published
2021

20. The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Kamangar, F, Nasrollahzadeh, D, Safiri, S, Sepanlou, SG, Fitzmaurice, C, Ikuta, KS, Bisignano, C, Islami, F, Roshandel, G, Lim, SS, Abolhassani, H, Abu-Gharbieh, E, Adedoyin, RA, Advani, SM, Ahmed, MB, Aichour, MTE, Akinyemiju, T, Akunna, CJ, Alahdab, F, Alipour, V, Almasi-Hashiani, A, Almulhim, AM, Anber, NH, Ansari-Moghaddam, A, Arabloo, J, Arab-Zozani, M, Awedew, AF, Badawi, A, Berfield, KSS, Berhe, K, Bhattacharyya, K, Biondi, A, Bjorge, T, Borzi, AM, Bosetti, C, Carreras, G, Carvalho, F, Castro, C, Chu, D-T, Costa, VM, Dagnew, B, Gela, JD, Daryani, A, Demeke, FM, Demoz, GT, Dianatinasab, M, Elbarazi, I, Emamian, MH, Etemadi, A, Faris, PS, Fernandes, E, Filip, I, Fischer, F, Gad, MM, Gallus, S, Gebre, AK, Gebrehiwot, TT, Gebremeskel, GG, Gebresillassie, BM, Ghasemi-kebria, F, Ghashghaee, A, Ghith, N, Golechha, M, Gorini, G, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Harvey, JD, Hashemian, M, Hassen, HY, Hay, SI, Henok, A, Hoang, CL, Hosgood, HD, Househ, M, Ilesanmi, OS, Ilic, MD, Irvani, SSN, Jain, C, James, SL, Jee, SH, Jha, RP, Joukar, F, Kabir, A, Kasaeian, A, Kassaw, MW, Kaur, S, Kengne, AP, Kerboua, E, Khader, YS, Khalilov, R, Khan, EA, Khoja, AT, Kocarnik, JM, Komaki, H, Kumar, V, La Vecchia, C, Lasrado, S, Li, B, Lopez, AD, Majeed, A, Manafi, N, Manda, AL, Mansour-Ghanaei, F, Mathur, MR, Mehta, V, Mehta, D, Mendoza, W, Mithra, P, Mohammad, KA, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, JA, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, D, Moosazadeh, M, Moradi, G, Moradpour, F, Moradzadeh, R, Naik, G, Negoi, I, Nggada, HA, Nguyen, HLT, Nikbakhsh, R, Nixon, MR, Olagunju, AT, Olagunju, TO, Padubidri, JR, Pakshir, K, Patel, S, Pathak, M, Pham, HQ, Pourshams, A, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Ramezanzadeh, K, Rath, GK, Rathi, P, Rawaf, S, Rawaf, DL, Rezaei, N, Roro, EM, Saad, AM, Salimzadeh, H, Samy, AM, Sartorius, B, Sarveazad, A, Sekerija, M, Sha, F, Shamsizadeh, M, Sheikhbahaei, S, Shirkoohi, R, Malleshappa, SKS, Singh, JA, Sinha, DN, Smarandache, C-G, Soshnikov, S, Suleria, HAR, Tadesse, DB, Tesfay, BE, Thakur, B, Traini, E, Tran, KB, Tran, BX, Ullah, I, Vacante, M, Veisani, Y, Vujcic, IS, Weldesamuel, GT, Xu, R, Yazdi-Feyzabadi, V, Yuce, D, Zadnik, V, Zaidi, Z, Zhang, Z-J, Malekzadeh, R, Naghavi, M, Kamangar, F, Nasrollahzadeh, D, Safiri, S, Sepanlou, SG, Fitzmaurice, C, Ikuta, KS, Bisignano, C, Islami, F, Roshandel, G, Lim, SS, Abolhassani, H, Abu-Gharbieh, E, Adedoyin, RA, Advani, SM, Ahmed, MB, Aichour, MTE, Akinyemiju, T, Akunna, CJ, Alahdab, F, Alipour, V, Almasi-Hashiani, A, Almulhim, AM, Anber, NH, Ansari-Moghaddam, A, Arabloo, J, Arab-Zozani, M, Awedew, AF, Badawi, A, Berfield, KSS, Berhe, K, Bhattacharyya, K, Biondi, A, Bjorge, T, Borzi, AM, Bosetti, C, Carreras, G, Carvalho, F, Castro, C, Chu, D-T, Costa, VM, Dagnew, B, Gela, JD, Daryani, A, Demeke, FM, Demoz, GT, Dianatinasab, M, Elbarazi, I, Emamian, MH, Etemadi, A, Faris, PS, Fernandes, E, Filip, I, Fischer, F, Gad, MM, Gallus, S, Gebre, AK, Gebrehiwot, TT, Gebremeskel, GG, Gebresillassie, BM, Ghasemi-kebria, F, Ghashghaee, A, Ghith, N, Golechha, M, Gorini, G, Gupta, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Harvey, JD, Hashemian, M, Hassen, HY, Hay, SI, Henok, A, Hoang, CL, Hosgood, HD, Househ, M, Ilesanmi, OS, Ilic, MD, Irvani, SSN, Jain, C, James, SL, Jee, SH, Jha, RP, Joukar, F, Kabir, A, Kasaeian, A, Kassaw, MW, Kaur, S, Kengne, AP, Kerboua, E, Khader, YS, Khalilov, R, Khan, EA, Khoja, AT, Kocarnik, JM, Komaki, H, Kumar, V, La Vecchia, C, Lasrado, S, Li, B, Lopez, AD, Majeed, A, Manafi, N, Manda, AL, Mansour-Ghanaei, F, Mathur, MR, Mehta, V, Mehta, D, Mendoza, W, Mithra, P, Mohammad, KA, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, JA, Mohebi, F, Mokdad, AH, Monasta, L, Moosavi, D, Moosazadeh, M, Moradi, G, Moradpour, F, Moradzadeh, R, Naik, G, Negoi, I, Nggada, HA, Nguyen, HLT, Nikbakhsh, R, Nixon, MR, Olagunju, AT, Olagunju, TO, Padubidri, JR, Pakshir, K, Patel, S, Pathak, M, Pham, HQ, Pourshams, A, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Ramezanzadeh, K, Rath, GK, Rathi, P, Rawaf, S, Rawaf, DL, Rezaei, N, Roro, EM, Saad, AM, Salimzadeh, H, Samy, AM, Sartorius, B, Sarveazad, A, Sekerija, M, Sha, F, Shamsizadeh, M, Sheikhbahaei, S, Shirkoohi, R, Malleshappa, SKS, Singh, JA, Sinha, DN, Smarandache, C-G, Soshnikov, S, Suleria, HAR, Tadesse, DB, Tesfay, BE, Thakur, B, Traini, E, Tran, KB, Tran, BX, Ullah, I, Vacante, M, Veisani, Y, Vujcic, IS, Weldesamuel, GT, Xu, R, Yazdi-Feyzabadi, V, Yuce, D, Zadnik, V, Zaidi, Z, Zhang, Z-J, Malekzadeh, R, and Naghavi, M

Abstract

BACKGROUND: Oesophageal cancer is a common and often fatal cancer that has two main histological subtypes: oesophageal squamous cell carcinoma and oesophageal adenocarcinoma. Updated statistics on the incidence and mortality of oesophageal cancer, and on the disability-adjusted life-years (DALYs) caused by the disease, can assist policy makers in allocating resources for prevention, treatment, and care of oesophageal cancer. We report the latest estimates of these statistics for 195 countries and territories between 1990 and 2017, by age, sex, and Socio-demographic Index (SDI), using data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD). METHODS: We used data from vital registration systems, vital registration-samples, verbal autopsy records, and cancer registries, combined with relevant modelling, to estimate the mortality, incidence, and burden of oesophageal cancer from 1990 to 2017. Mortality-to-incidence ratios (MIRs) were estimated and fed into a Cause of Death Ensemble model (CODEm) including risk factors. MIRs were used for mortality and non-fatal modelling. Estimates of DALYs attributable to the main risk factors of oesophageal cancer available in GBD were also calculated. The proportion of oesophageal squamous cell carcinoma to all oesophageal cancers was extracted by use of publicly available data, and its variation was examined against SDI, the Healthcare Access and Quality (HAQ) Index, and available risk factors in GBD that are specific for oesophageal squamous cell carcinoma (eg, unimproved water source and indoor air pollution) and for oesophageal adenocarcinoma (gastro-oesophageal reflux disease). FINDINGS: There were 473 000 (95% uncertainty interval [95% UI] 459 000-485 000) new cases of oesophageal cancer and 436 000 (425 000-448 000) deaths due to oesophageal cancer in 2017. Age-standardised incidence was 5·9 (5·7-6·1) per 100 000 population and age-standardised mortality was 5·5 (5·3-5·6) per 100 000. Oesophageal c

Published
2020

21. The global, regional, and national burden of stomach cancer in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease study 2017

Author

Etemadi, A, Safiri, S, Sepanlou, SG, Ikuta, K, Bisignano, C, Shakeri, R, Amani, M, Fitzmaurice, C, Nixon, MR, Abbasi, N, Abolhassani, H, Advani, SM, Afarideh, M, Akinyemiju, T, Alam, T, Alikhani, M, Alipour, V, Allen, CA, Almasi-Hashiani, A, Arabloo, J, Assadi, R, Atique, S, Awasthi, A, Bakhtiari, A, Behzadifar, M, Berhe, K, Bhala, N, Bijani, A, Bin Sayeed, MS, Bjorge, T, Borzi, AM, Braithwaite, D, Brenner, H, Carreras, G, Carvalho, F, Castaneda-Orjuela, CA, Castro, F, Dinh-Toi, C, Costa, VM, Daryani, A, Davitoiu, DV, Demoz, GT, Demis, AB, Denova-Gutierrez, E, Dey, S, Nasab, MD, Djalalinia, S, Emamian, MH, Farahmand, M, Fernandes, JC, Fischer, F, Foroutan, M, Gad, MM, Gallus, S, Gebremeskel, GG, Gedefew, GA, Ghaseni-Kebria, F, Gorini, G, Hafezi-Nejad, N, Haj-Mirzaian, A, Haro, JM, Harvey, JD, Hasanzadeh, A, Hashemian, M, Hassen, HY, Hay, S, Hidru, HD, Hostiuc, M, Househ, M, Ilesanmi, OS, Ilic, MD, Innos, K, Islami, F, James, SL, Jenabi, E, Kalhor, R, Kamangar, F, Kasaeian, A, Kengne, AP, Khader, YS, Khalilov, R, Khan, EA, Khan, G, Khayamzadeh, M, Khazaee-Pool, M, Khazaei, S, Khoja, AT, Khosravi Shadmani, F, Kim, YJ, Kocarnik, JM, Komaki, H, Koyanagi, A, Kumar, V, La Vecchia, C, Lopez, AD, Lunevicius, R, Manafi, N, Manda, A-L, Geta, B, Meheretu, H, Mengistu, G, Miazgowski, B, Mir, SM, Mohammad, KA, Mezerji, NMG, Mohammadian, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohebi, F, Mokdad, AH, Monasta, L, Moosazadeh, M, Moossavi, M, Moradi, G, Moradpour, F, Moradzadeh, R, Moreno Velasquez, I, Mosapour, A, Naderi, M, Naik, G, Najafi, F, Nahvijou, A, Negoi, I, Nikbakhsh, R, Nojomi, M, Olagunju, AT, Olagunju, TO, Oren, E, Parsian, H, Piccinelli, C, Pourshams, A, Poustchi, H, Rabiee, N, Radfar, A, Rafiei, A, Rahimi, M, Rahmati, M, Renzaho, AMN, Rezaei, N, Ribeiro, AI, Roshandel, G, Saad, AM, Saadatagah, S, Salimzadeh, H, Samy, AM, Sanabria, J, Milicevic, MMS, Sarveazad, A, Sawhney, M, Shaahmadi, F, Sekerija, M, Shaikh, MA, Shamshirian, A, Malleshappa, SKS, Singh, JA, Smarandache, C-G, Soofi, M, Tabuchi, T, Tadesse, DBB, Tapak, L, Tesfay, BE, Traini, E, Bach, T, Khanh, BT, Vacante, M, Vahedian-Azimi, A, Veisani, Y, Vosoughi, K, Vujcic, IS, Westerman, R, Wondmieneh, AB, Xu, R, Yaya, S, Yazdi-Feyzabadi, V, Yousefi, Z, Yousefi, B, Moghadam, TZ, Zaki, L, Zamani, M, Zamanian, M, Zandian, H, Zarghi, A, Zhang, Z-J, Naghavi, M, Malekzadeh, R, Etemadi, A, Safiri, S, Sepanlou, SG, Ikuta, K, Bisignano, C, Shakeri, R, Amani, M, Fitzmaurice, C, Nixon, MR, Abbasi, N, Abolhassani, H, Advani, SM, Afarideh, M, Akinyemiju, T, Alam, T, Alikhani, M, Alipour, V, Allen, CA, Almasi-Hashiani, A, Arabloo, J, Assadi, R, Atique, S, Awasthi, A, Bakhtiari, A, Behzadifar, M, Berhe, K, Bhala, N, Bijani, A, Bin Sayeed, MS, Bjorge, T, Borzi, AM, Braithwaite, D, Brenner, H, Carreras, G, Carvalho, F, Castaneda-Orjuela, CA, Castro, F, Dinh-Toi, C, Costa, VM, Daryani, A, Davitoiu, DV, Demoz, GT, Demis, AB, Denova-Gutierrez, E, Dey, S, Nasab, MD, Djalalinia, S, Emamian, MH, Farahmand, M, Fernandes, JC, Fischer, F, Foroutan, M, Gad, MM, Gallus, S, Gebremeskel, GG, Gedefew, GA, Ghaseni-Kebria, F, Gorini, G, Hafezi-Nejad, N, Haj-Mirzaian, A, Haro, JM, Harvey, JD, Hasanzadeh, A, Hashemian, M, Hassen, HY, Hay, S, Hidru, HD, Hostiuc, M, Househ, M, Ilesanmi, OS, Ilic, MD, Innos, K, Islami, F, James, SL, Jenabi, E, Kalhor, R, Kamangar, F, Kasaeian, A, Kengne, AP, Khader, YS, Khalilov, R, Khan, EA, Khan, G, Khayamzadeh, M, Khazaee-Pool, M, Khazaei, S, Khoja, AT, Khosravi Shadmani, F, Kim, YJ, Kocarnik, JM, Komaki, H, Koyanagi, A, Kumar, V, La Vecchia, C, Lopez, AD, Lunevicius, R, Manafi, N, Manda, A-L, Geta, B, Meheretu, H, Mengistu, G, Miazgowski, B, Mir, SM, Mohammad, KA, Mezerji, NMG, Mohammadian, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, S, Mohebi, F, Mokdad, AH, Monasta, L, Moosazadeh, M, Moossavi, M, Moradi, G, Moradpour, F, Moradzadeh, R, Moreno Velasquez, I, Mosapour, A, Naderi, M, Naik, G, Najafi, F, Nahvijou, A, Negoi, I, Nikbakhsh, R, Nojomi, M, Olagunju, AT, Olagunju, TO, Oren, E, Parsian, H, Piccinelli, C, Pourshams, A, Poustchi, H, Rabiee, N, Radfar, A, Rafiei, A, Rahimi, M, Rahmati, M, Renzaho, AMN, Rezaei, N, Ribeiro, AI, Roshandel, G, Saad, AM, Saadatagah, S, Salimzadeh, H, Samy, AM, Sanabria, J, Milicevic, MMS, Sarveazad, A, Sawhney, M, Shaahmadi, F, Sekerija, M, Shaikh, MA, Shamshirian, A, Malleshappa, SKS, Singh, JA, Smarandache, C-G, Soofi, M, Tabuchi, T, Tadesse, DBB, Tapak, L, Tesfay, BE, Traini, E, Bach, T, Khanh, BT, Vacante, M, Vahedian-Azimi, A, Veisani, Y, Vosoughi, K, Vujcic, IS, Westerman, R, Wondmieneh, AB, Xu, R, Yaya, S, Yazdi-Feyzabadi, V, Yousefi, Z, Yousefi, B, Moghadam, TZ, Zaki, L, Zamani, M, Zamanian, M, Zandian, H, Zarghi, A, Zhang, Z-J, Naghavi, M, and Malekzadeh, R

Abstract

BACKGROUND: Stomach cancer is a major health problem in many countries. Understanding the current burden of stomach cancer and the differential trends across various locations is essential for formulating effective preventive strategies. We report on the incidence, mortality, and disability-adjusted life-years (DALYs) due to stomach cancer in 195 countries and territories from 21 regions between 1990 and 2017. METHODS: Estimates from GBD 2017 were used to analyse the incidence, mortality, and DALYs due to stomach cancer at the global, regional, and national levels. The rates were standardised to the GBD world population and reported per 100 000 population as age-standardised incidence rates, age-standardised death rates, and age-standardised DALY rates. All estimates were generated with 95% uncertainty intervals (UIs). FINDINGS: In 2017, more than 1·22 million (95% UI 1·19-1·25) incident cases of stomach cancer occurred worldwide, and nearly 865 000 people (848 000-885 000) died of stomach cancer, contributing to 19·1 million (18·7-19·6) DALYs. The highest age-standardised incidence rates in 2017 were seen in the high-income Asia Pacific (29·5, 28·2-31·0 per 100 000 population) and east Asia (28·6, 27·3-30·0 per 100 000 population) regions, with nearly half of the global incident cases occurring in China. Compared with 1990, in 2017 more than 356 000 more incident cases of stomach cancer were estimated, leading to nearly 96 000 more deaths. Despite the increase in absolute numbers, the worldwide age-standardised rates of stomach cancer (incidence, deaths, and DALYs) have declined since 1990. The drop in the disease burden was associated with improved Socio-demographic Index. Globally, 38·2% (21·1-57·8) of the age-standardised DALYs were attributable to high-sodium diet in both sexes combined, and 24·5% (20·0-28·9) of the age-standardised DALYs were attributable to smoking in males. INTERPRETATION: Our findings provide insight into the changing burden of stomach canc

Published
2020

23. The global burden of childhood and adolescent cancer in 2017: an analysis of the Global Burden of Disease Study 2017

Author

Force, LM, Abdollahpour, I, Advani, SM, Agius, D, Ahmadian, E, Alahdab, F, Alam, T, Alebel, A, Alipour, V, Allen, CA, Almasi-Hashiani, A, Alvarez, EM, Amini, S, Amoako, YA, Anber, NH, Arabloo, J, Artaman, A, Atique, S, Awasthi, A, Bagherzadeh, M, Basaleem, H, Bekru, ET, Bijani, A, Bogale, KA, Car, M, Carvalho, F, Castro, C, Catalá-López, F, Chu, DT, Costa, VM, Darwish, AH, Demeke, FM, Demis, AB, Demoz, GT, Dharmaratne, SD, Do, HP, Doan, LP, Dubey, M, Eftekhari, A, El-Khatib, Z, Emamian, MH, Abbasalizad Farhangi, M, Fernandes, E, Fischer, F, Fouladi Fard, R, Friedrich, PM, Fukumoto, T, Gedefaw, GA, Ghashghaee, A, Gholamian, A, Haj-Mirzaian, A, Hamidi, S, Harvey, JD, Hassen, HY, Hay, SI, Hoang, CL, Hole, MK, Horita, N, Hosseini, SN, Hosseinzadeh, M, Hsairi, M, Hudson, MM, Innos, K, Jalilian, F, James, SL, Kasaeian, A, Kassa, TD, Kassebaum, NJ, Keiyoro, PN, Khader, YS, Khubchandani, J, Kianipour, N, Kirby, J, Kisa, A, Kisa, S, Kocarnik, JM, Lauriola, P, Lopez, AD, Mägi, M, Malik, MA, Manafi, A, Manafi, N, Mansournia, MA, Massenburg, BB, Mehta, V, Meles, HG, Meretoja, TJ, Mestrovic, T, Mirzaei-Alavijeh, M, Mir, SM, Mohammad, DK, Darwesh, AM, Mezerji, NMG, Mohammadibakhsh, R, Mohammadoo-Khorasani, M, Mokdad, AH, Moodley, Y, Moosazadeh, M, and Moossavi, M

Subjects
Oncology & Carcinogenesis
Abstract

© 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Accurate childhood cancer burden data are crucial for resource planning and health policy prioritisation. Model-based estimates are necessary because cancer surveillance data are scarce or non-existent in many countries. Although global incidence and mortality estimates are available, there are no previous analyses of the global burden of childhood cancer represented in disability-adjusted life-years (DALYs). Methods: Using the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 methodology, childhood (ages 0–19 years) cancer mortality was estimated by use of vital registration system data, verbal autopsy data, and population-based cancer registry incidence data, which were transformed to mortality estimates through modelled mortality-to-incidence ratios (MIRs). Childhood cancer incidence was estimated using the mortality estimates and corresponding MIRs. Prevalence estimates were calculated by using MIR to model survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated by multiplying age-specific cancer deaths by the difference between the age of death and a reference life expectancy. DALYs were calculated as the sum of YLLs and YLDs. Final point estimates are reported with 95% uncertainty intervals. Findings: Globally, in 2017, there were 11·5 million (95% uncertainty interval 10·6–12·3) DALYs due to childhood cancer, 97·3% (97·3–97·3) of which were attributable to YLLs and 2·7% (2·7–2·7) of which were attributable to YLDs. Childhood cancer was the sixth leading cause of total cancer burden globally and the ninth leading cause of childhood disease burden globally. 82·2% (82·1–82·2) of global childhood cancer DALYs occurred in low, low-middle, or middle Socio-demographic Index locations, whereas 50·3% (50·3–50·3) of adult cancer DALYs occurred in these same locations. Cancers that are uncategorised in the current GBD framework comprised 26·5% (26·5–26·5) of global childhood cancer DALYs. Interpretation: The GBD 2017 results call attention to the substantial burden of childhood cancer globally, which disproportionately affects populations in resource-limited settings. The use of DALY-based estimates is crucial in demonstrating that childhood cancer burden represents an important global cancer and child health concern. Funding: Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities (ALSAC), and St. Baldrick's Foundation.

Published
2019

25. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019.

Author

Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, Henrikson HJ, Lu D, Pennini A, Xu R, Ababneh E, Abbasi-Kangevari M, Abbastabar H, Abd-Elsalam SM, Abdoli A, Abedi A, Abidi H, Abolhassani H, Adedeji IA, Adnani QES, Advani SM, Afzal MS, Aghaali M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed Rashid T, Ahmed Salih Y, Akalu GT, Aklilu A, Akram T, Akunna CJ, Al Hamad H, Alahdab F, Al-Aly Z, Ali S, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Almasi-Hashiani A, Almasri NA, Al-Maweri SAA, Almustanyir S, Alonso N, Alvis-Guzman N, Amu H, Anbesu EW, Ancuceanu R, Ansari F, Ansari-Moghaddam A, Antwi MH, Anvari D, Anyasodor AE, Aqeel M, Arabloo J, Arab-Zozani M, Aremu O, Ariffin H, Aripov T, Arshad M, Artaman A, Arulappan J, Asemi Z, Asghari Jafarabadi M, Ashraf T, Atorkey P, Aujayeb A, Ausloos M, Awedew AF, Ayala Quintanilla BP, Ayenew T, Azab MA, Azadnajafabad S, Azari Jafari A, Azarian G, Azzam AY, Badiye AD, Bahadory S, Baig AA, Baker JL, Balakrishnan S, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Behzadifar M, Belgaumi UI, Bezabhe WMM, Bezabih YM, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Bisignano C, Bjørge T, Bleyer A, Blyuss O, Bolarinwa OA, Bolla SR, Braithwaite D, Brar A, Brenner H, Bustamante-Teixeira MT, Butt NS, Butt ZA, Caetano Dos Santos FL, Cao Y, Carreras G, Catalá-López F, Cembranel F, Cerin E, Cernigliaro A, Chakinala RC, Chattu SK, Chattu VK, Chaturvedi P, Chimed-Ochir O, Cho DY, Christopher DJ, Chu DT, Chung MT, Conde J, Cortés S, Cortesi PA, Costa VM, Cunha AR, Dadras O, Dagnew AB, Dahlawi SMA, Dai X, Dandona L, Dandona R, Darwesh AM, das Neves J, De la Hoz FP, Demis AB, Denova-Gutiérrez E, Dhamnetiya D, Dhimal ML, Dhimal M, Dianatinasab M, Diaz D, Djalalinia S, Do HP, Doaei S, Dorostkar F, Dos Santos Figueiredo FW, Driscoll TR, Ebrahimi H, Eftekharzadeh S, El Tantawi M, El-Abid H, Elbarazi I, Elhabashy HR, Elhadi M, El-Jaafary SI, Eshrati B, Eskandarieh S, Esmaeilzadeh F, Etemadi A, Ezzikouri S, Faisaluddin M, Faraon EJA, Fares J, Farzadfar F, Feroze AH, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Fisher JL, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gadanya MA, Gallus S, Gaspar Fonseca M, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gholamalizadeh M, Gilani SA, Ginindza TG, Gizaw ATT, Glasbey JC, Golechha M, Goleij P, Gomez RS, Gopalani SV, Gorini G, Goudarzi H, Grosso G, Gubari MIM, Guerra MR, Guha A, Gunasekera DS, Gupta B, Gupta VB, Gupta VK, Gutiérrez RA, Hafezi-Nejad N, Haider MR, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hanif A, Haque S, Harlianto NI, Haro JM, Hasaballah AI, Hassanipour S, Hay RJ, Hay SI, Hayat K, Heidari G, Heidari M, Herrera-Serna BY, Herteliu C, Hezam K, Holla R, Hossain MM, Hossain MBH, Hosseini MS, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huang J, Hugo FN, Hussain R, Hussein NR, Hwang BF, Iavicoli I, Ibitoye SE, Ida F, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Irham LM, Islam JY, Islam RM, Islam SMS, Ismail NE, Isola G, Iwagami M, Jacob L, Jain V, Jakovljevic MB, Javaheri T, Jayaram S, Jazayeri SB, Jha RP, Jonas JB, Joo T, Joseph N, Joukar F, Jürisson M, Kabir A, Kahrizi D, Kalankesh LR, Kalhor R, Kaliyadan F, Kalkonde Y, Kamath A, Kameran Al-Salihi N, Kandel H, Kapoor N, Karch A, Kasa AS, Katikireddi SV, Kauppila JH, Kavetskyy T, Kebede SA, Keshavarz P, Keykhaei M, Khader YS, Khalilov R, Khan G, Khan M, Khan MN, Khan MAB, Khang YH, Khater AM, Khayamzadeh M, Kim GR, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Kopec JA, Koteeswaran R, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Kucuk Bicer B, Kugbey N, Kumar GA, Kumar N, Kumar N, Kurmi OP, Kutluk T, La Vecchia C, Lami FH, Landires I, Lauriola P, Lee SW, Lee SWH, Lee WC, Lee YH, Leigh J, Leong E, Li J, Li MC, Liu X, Loureiro JA, Lunevicius R, Magdy Abd El Razek M, Majeed A, Makki A, Male S, Malik AA, Mansournia MA, Martini S, Masoumi SZ, Mathur P, McKee M, Mehrotra R, Mendoza W, Menezes RG, Mengesha EW, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mirzaei H, Mirzaei HR, Misra S, Mithra P, Moghadaszadeh M, Mohammad KA, Mohammad Y, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Moka N, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moosavi MA, Moradi Y, Moraga P, Morgado-da-Costa J, Morrison SD, Mosapour A, Mubarik S, Mwanri L, Nagarajan AJ, Nagaraju SP, Nagata C, Naimzada MD, Nangia V, Naqvi AA, Narasimha Swamy S, Ndejjo R, Nduaguba SO, Negoi I, Negru SM, Neupane Kandel S, Nguyen CT, Nguyen HLT, Niazi RK, Nnaji CA, Noor NM, Nuñez-Samudio V, Nzoputam CI, Oancea B, Ochir C, Odukoya OO, Ogbo FA, Olagunju AT, Olakunde BO, Omar E, Omar Bali A, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pardhan S, Park EC, Park EK, Pashazadeh Kan F, Patel HK, Patel JR, Pati S, Pattanshetty SM, Paudel U, Pereira DM, Pereira RB, Perianayagam A, Pillay JD, Pirouzpanah S, Pishgar F, Podder I, Postma MJ, Pourjafar H, Prashant A, Preotescu L, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Radhakrishnan V, Rafiee A, Rahim F, Rahimzadeh S, Rahman M, Rahman MA, Rahmani AM, Rajai N, Rajesh A, Rakovac I, Ram P, Ramezanzadeh K, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rawassizadeh R, Razeghinia MS, Renzaho AMN, Rezaei N, Rezaei N, Rezapour A, Roberts TJ, Rodriguez JAB, Rohloff P, Romoli M, Ronfani L, Roshandel G, Rwegerera GM, S M, Sabour S, Saddik B, Saeed U, Sahebkar A, Sahoo H, Salehi S, Salem MR, Salimzadeh H, Samaei M, Samy AM, Sanabria J, Sankararaman S, Santric-Milicevic MM, Sardiwalla Y, Sarveazad A, Sathian B, Sawhney M, Saylan M, Schneider IJC, Sekerija M, Seylani A, Shafaat O, Shaghaghi Z, Shaikh MA, Shamsoddin E, Shannawaz M, Sharma R, Sheikh A, Sheikhbahaei S, Shetty A, Shetty JK, Shetty PH, Shibuya K, Shirkoohi R, Shivakumar KM, Shivarov V, Siabani S, Siddappa Malleshappa SK, Silva DAS, Singh JA, Sintayehu Y, Skryabin VY, Skryabina AA, Soeberg MJ, Sofi-Mahmudi A, Sotoudeh H, Steiropoulos P, Straif K, Subedi R, Sufiyan MB, Sultan I, Sultana S, Sur D, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tabuchi T, Tadbiri H, Taherkhani A, Takahashi K, Talaat IM, Tan KK, Tat VY, Tedla BAA, Tefera YG, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tessema GA, Thapar R, Thavamani A, Thoguluva Chandrasekar V, Thomas N, Tohidinik HR, Touvier M, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Tran MTN, Tripathy JP, Tusa BS, Ullah I, Ullah S, Umapathi KK, Unnikrishnan B, Upadhyay E, Vacante M, Vaezi M, Valadan Tahbaz S, Velazquez DZ, Veroux M, Violante FS, Vlassov V, Vo B, Volovici V, Vu GT, Waheed Y, Wamai RG, Ward P, Wen YF, Westerman R, Winkler AS, Yadav L, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yazie TSY, Yeshaw Y, Yonemoto N, Younis MZ, Yousefi Z, Yu C, Yuce D, Yunusa I, Zadnik V, Zare F, Zastrozhin MS, Zastrozhina A, Zhang J, Zhong C, Zhou L, Zhu C, Ziapour A, Zimmermann IR, Fitzmaurice C, Murray CJL, and Force LM

Subjects
Disability-Adjusted Life Years, Global Health, Humans, Incidence, Prevalence, Quality-Adjusted Life Years, Risk Factors, Global Burden of Disease, Neoplasms epidemiology
Abstract

Importance: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden., Objective: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019., Evidence Review: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs)., Findings: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles., Conclusions and Relevance: The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.

Published
2022
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26. Harnessing nanotechnology to expand the toolbox of chemical biology.

Author

Williams RM, Chen S, Langenbacher RE, Galassi TV, Harvey JD, Jena PV, Budhathoki-Uprety J, Luo M, and Heller DA

Subjects
Animals, Biocompatible Materials, Drug Carriers chemistry, Drug Delivery Systems, Enzymes chemistry, Humans, Molecular Biology methods, Molecular Imaging methods, Nanoparticles, Molecular Biology trends, Nanotechnology trends
Abstract

Although nanotechnology often addresses biomedical needs, nanoscale tools can also facilitate broad biological discovery. Nanoscale delivery, imaging, biosensing, and bioreactor technologies may address unmet questions at the interface between chemistry and biology. Currently, many chemical biologists do not include nanomaterials in their toolbox, and few investigators develop nanomaterials in the context of chemical tools to answer biological questions. We reason that the two fields are ripe with opportunity for greater synergy. Nanotechnologies can expand the utility of chemical tools in the hands of chemical biologists, for example, through controlled delivery of reactive and/or toxic compounds or signal-binding events of small molecules in living systems. Conversely, chemical biologists can work with nanotechnologists to address challenging biological questions that are inaccessible to both communities. This Perspective aims to introduce the chemical biology community to nanotechnologies that may expand their methodologies while inspiring nanotechnologists to address questions relevant to chemical biology.

Published
2021
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27. National burden of cancer in Italy, 1990-2017: a systematic analysis for the global burden of disease study 2017.

Author

Bosetti C, Traini E, Alam T, Allen CA, Carreras G, Compton K, Fitzmaurice C, Force LM, Gallus S, Gorini G, Harvey JD, Kocarnik JM, La Vecchia C, Lugo A, Naghavi M, Pennini A, Piccinelli C, Ronfani L, Xu R, and Monasta L

Subjects
Adult, Aged, Early Detection of Cancer, Female, Humans, Italy epidemiology, Male, Middle Aged, Neoplasms pathology, Neoplasms, Germ Cell and Embryonal pathology, Quality-Adjusted Life Years, Risk Factors, Testicular Neoplasms pathology, Cost of Illness, Neoplasms epidemiology, Neoplasms, Germ Cell and Embryonal epidemiology, Testicular Neoplasms epidemiology
Abstract

We monitored the burden of cancer in Italy and its trends over the last three decades, providing estimates of cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs), for cancer overall and 30 cancer sites using data from the Global Burden of Disease study 2017. An overview of mortality trends between 1990 and 2017 was also provided. In 2017, there were 254,336 new cancer cases in men and 214,994 in women, corresponding to an age-standardized incidence rate (ASIR) of 438 and 330/100,000, respectively. Between 1990 and 2017, incident cancer cases, and, to a lesser extent, ASIRs significantly increased overall and for almost all cancer sites, but ASIRs significantly declined for lung and other tobacco-related neoplasms. In 2017, there were 101,659 cancer deaths in men (age-standardized death rate, ASDR, 158.5/100,000) and 78,918 in women (ASDR 93.9/100,000). Cancer deaths significantly increased between 1990 and 2017 (+ 18%), but ASDR significantly decreased (- 28%). Deaths significantly increased for many cancer sites, but decreased for stomach, esophageal, laryngeal, Hodgkin lymphoma, and testicular cancer. ASDRs significantly decreased for most neoplasms, with the main exceptions of cancer of the pancreas and uterus, and multiple myeloma. In 2017, cancer caused 3,204,000 DALYs. Between 1990 and 2017, DALYs and age-standardized DALY rates significantly declined (-3.4% and -33%, respectively). Age-standardized mortality rates in Italy showed favorable patterns over the last few decades. However, the absolute number of cancer cases and, to a lower extent, of cancer deaths increased likely due to the progressive ageing of the population, this calling for a continuous effort in cancer prevention, early diagnosis, and treatment.

Published
2020
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28. Glutathione-S-transferase Fusion Protein Nanosensor.

Author

Williams RM, Harvey JD, Budhathoki-Uprety J, and Heller DA

Subjects
Chromatography, Affinity, Proteins, Glutathione, Glutathione Transferase genetics
Abstract

Fusion protein tags are widely used to capture and track proteins in research and industrial bioreactor processes. Quantifying fusion-tagged proteins normally requires several purification steps coupled with classical protein assays. Here, we developed a broadly applicable nanosensor platform that quantifies glutathione-S-transferase (GST) fusion proteins in real-time. We synthesized a glutathione-DNA-carbon nanotube system to investigate glutathione-GST interactions via semiconducting single-walled carbon nanotube (SWCNT) photoluminescence. We found that SWCNT fluorescence wavelength and intensity modulation occurred specifically in response to GST and GST-fusions. The sensor response was dependent on SWCNT structure, wherein mod ( n - m , 3) = 1 nanotube wavelength and intensity responses correlated with nanotube diameter distinctly from mod ( n - m , 3) = 2 SWCNT responses. We also found broad functionality of this sensor to diverse GST-tagged proteins. This work comprises the first label-free optical sensor for GST and has implications for the assessment of protein expression in situ, including in imaging and industrial bioreactor settings.

Published
2020
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29. Synthetic molecular recognition nanosensor paint for microalbuminuria.

Author

Budhathoki-Uprety J, Shah J, Korsen JA, Wayne AE, Galassi TV, Cohen JR, Harvey JD, Jena PV, Ramanathan LV, Jaimes EA, and Heller DA

Subjects
Albumins isolation & purification, Albuminuria urine, Biomarkers blood, Biomarkers urine, Blood Proteins analysis, Fatty Acids, Humans, Immobilization, Nanostructures chemistry, Paint, Spectrometry, Fluorescence, Urine chemistry, Albumins chemistry, Albuminuria diagnosis, Biosensing Techniques methods
Abstract

Microalbuminuria is an important clinical marker of several cardiovascular, metabolic, and other diseases such as diabetes, hypertension, atherosclerosis, and cancer. The accurate detection of microalbuminuria relies on albumin quantification in the urine, usually via an immunoturbidity assay; however, like many antibody-based assessments, this method may not be robust enough to function in global health applications, point-of-care assays, or wearable devices. Here, we develop an antibody-free approach using synthetic molecular recognition by constructing a polymer to mimic fatty acid binding to the albumin, informed by the albumin crystal structure. A single-walled carbon nanotube, encapsulated by the polymer, as the transduction element produces a hypsochromic (blue) shift in photoluminescence upon the binding of albumin in clinical urine samples. This complex, incorporated into an acrylic material, results in a nanosensor paint that enables the detection of microalbuminuria in patient samples and comprises a rapid point-of-care sensor robust enough to be deployed in resource-limited settings.

Published
2019
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30. An in Vivo Nanosensor Measures Compartmental Doxorubicin Exposure.

Author

Harvey JD, Williams RM, Tully KM, Baker HA, Shamay Y, and Heller DA

Subjects
Animals, Mice, Mice, Nude, DNA chemistry, Doxorubicin pharmacokinetics, Doxorubicin pharmacology, Drug Monitoring, Fluorescence, Nanotubes, Carbon chemistry
Abstract

Preclinical measurements of drug exposure to specific organs and tissues is normally performed by destructive methods. Tissue-specific measurements are important, especially for drugs with intractable dose-limiting toxicities, such as doxorubicin-mediated cardiotoxicity. We developed a method to rapidly quantify doxorubicin exposure to tissues within living organisms using an implantable optical nanosensor that can be interrogated noninvasively following surgical implantation. The near-infrared fluorescence of single-walled carbon nanotubes functionalized with DNA was found to respond to doxorubicin via a large and uniform red-shift. We found this to be common to DNA-intercalating agents, including anthracycline compounds such as doxorubicin. Doxorubicin was measured in buffer and serum, intracellularly, and from single nanotubes on a surface. Doxorubicin adsorption to the DNA-suspended nanotubes did not displace DNA but bound irreversibly. We incorporated the nanosensors into an implantable membrane which allowed cumulative detection of doxorubicin exposure in vivo . On implanting the devices into different compartments, such as subcutaneously and within the peritoneal cavity, we achieved real-time, minimally invasive detection of doxorubicin injected into the peritoneal cavity, as well as compartment-specific measurements. We measured doxorubicin translocation across the peritoneal membrane in vivo . Robust, minimally invasive pharmacokinetic measurements in vivo suggest the suitability of this technology for preclinical drug discovery applications.

Published
2019
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31. HIV Detection via a Carbon Nanotube RNA Sensor.

Author

Harvey JD, Baker HA, Ortiz MV, Kentsis A, and Heller DA

Subjects
HIV genetics, Point-of-Care Systems, Biosensing Techniques methods, HIV isolation & purification, Nanotubes, Carbon chemistry, RNA, Viral analysis
Abstract

Viral illnesses remain a significant concern in global health. Rapid and quantitative early detection of viral oligonucleotides without the need for purification, amplification, or labeling would be valuable in guiding successful treatment strategies. Single-walled carbon nanotube-based sensors recently demonstrated optical detection of small, free oligonucleotides in biofluids and in vivo, although proteins diminished sensitivity. Here, we discovered an unexpected phenomenon wherein the carbon nanotube optical response to nucleic acids can be enhanced by denatured proteins. Mechanistic studies found that hydrophobic patches of the denatured protein chain interact with the freed nanotube surface after hybridization, resulting in enhanced shifting of the nanotube emission. We employed this mechanism to detect an intact HIV in serum, resulting in specific responses within minutes. This work portends a route toward point-of-care optical detection of viruses or other nucleic acid-based analytes.

Published
2019
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32. Neuromodulation of Synaptic Transmission in the Main Olfactory Bulb.

Author

Harvey JD and Heinbockel T

Subjects
Humans, Brain physiology, Neurotransmitter Agents physiology, Olfactory Bulb physiology, Smell physiology, Synaptic Transmission physiology
Abstract

A major step in our understanding of brain function is to determine how neural circuits are altered in their function by signaling molecules or neuromodulators. Neuromodulation is the neurochemical process that modifies the computations performed by a neuron or network based on changing the functional needs or behavioral state of the subject. These modulations have the effect of altering the responsivity to synaptic inputs. Early sensory processing areas, such as the main olfactory bulb, provide an accessible window for investigating how neuromodulation regulates the functional states of neural networks and influences how we process sensory information. Olfaction is an attractive model system in this regard because of its relative simplicity and because it links primary olfactory sensory neurons to higher olfactory and associational networks. Likewise, centrifugal fibers from higher order brain centers target neurons in the main olfactory bulb to regulate synaptic processing. The neuromodulatory systems that provide regulatory inputs and play important roles in olfactory sensory processing and behaviors include the endocannabinoid system, the dopaminergic system, the cholinergic system, the noradrenergic system and the serotonergic system. Here, we present a brief survey of neuromodulation of olfactory signals in the main olfactory bulb with an emphasis on the endocannabinoid system.

Published
2018
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33. Noninvasive ovarian cancer biomarker detection via an optical nanosensor implant.

Author

Williams RM, Lee C, Galassi TV, Harvey JD, Leicher R, Sirenko M, Dorso MA, Shah J, Olvera N, Dao F, Levine DA, and Heller DA

Subjects
Animals, Cystadenocarcinoma, Serous blood, Cystadenocarcinoma, Serous diagnosis, Cystadenocarcinoma, Serous metabolism, Disease Models, Animal, Female, Humans, Mice, Neoplasm Grading, Neoplasm Staging, Optical Devices, Ovarian Neoplasms blood, Ovarian Neoplasms metabolism, Biomarkers, Tumor, Biosensing Techniques, Nanotechnology, Ovarian Neoplasms diagnosis
Abstract

Patients with high-grade serous ovarian carcinoma (HGSC) exhibit poor 5-year survival rates, which may be significantly improved by early-stage detection. The U.S. Food and Drug Administration-approved biomarkers for HGSC-CA-125 (cancer antigen 125) and HE4 (human epididymis protein 4)-do not generally appear at detectable levels in the serum until advanced stages of the disease. An implantable device placed proximal to disease sites, such as in or near the fallopian tube, ovary, uterine cavity, or peritoneal cavity, may constitute a feasible strategy to improve detection of HGSC. We engineered a prototype optical sensor composed of an antibody-functionalized carbon nanotube complex, which responds quantitatively to HE4 via modulation of the nanotube optical bandgap. The complexes measured HE4 with nanomolar sensitivity to differentiate disease from benign patient biofluids. The sensors were implanted into four models of ovarian cancer, within a semipermeable membrane, enabling the optical detection of HE4 within the live animals. We present the first in vivo optical nanosensor capable of noninvasive cancer biomarker detection in orthotopic models of disease.

Published
2018
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34. A Carbon Nanotube Optical Reporter Maps Endolysosomal Lipid Flux.

Author

Jena PV, Roxbury D, Galassi TV, Akkari L, Horoszko CP, Iaea DB, Budhathoki-Uprety J, Pipalia N, Haka AS, Harvey JD, Mittal J, Maxfield FR, Joyce JA, and Heller DA

Subjects
Atherosclerosis pathology, DNA, Single-Stranded blood, Endosomes chemistry, Humans, Luminescent Measurements, Lysosomes chemistry, Lysosomes metabolism, Macrophages chemistry, Macrophages metabolism, Monocytes chemistry, Monocytes metabolism, Niemann-Pick Disease, Type C, Optics and Photonics instrumentation, Single-Cell Analysis methods, Transport Vesicles chemistry, Transport Vesicles metabolism, Atherosclerosis blood, DNA, Single-Stranded chemistry, Lipids chemistry, Nanotubes, Carbon chemistry
Abstract

Lipid accumulation within the lumen of endolysosomal vesicles is observed in various pathologies including atherosclerosis, liver disease, neurological disorders, lysosomal storage disorders, and cancer. Current methods cannot measure lipid flux specifically within the lysosomal lumen of live cells. We developed an optical reporter, composed of a photoluminescent carbon nanotube of a single chirality, that responds to lipid accumulation via modulation of the nanotube's optical band gap. The engineered nanomaterial, composed of short, single-stranded DNA and a single nanotube chirality, localizes exclusively to the lumen of endolysosomal organelles without adversely affecting cell viability or proliferation or organelle morphology, integrity, or function. The emission wavelength of the reporter can be spatially resolved from within the endolysosomal lumen to generate quantitative maps of lipid content in live cells. Endolysosomal lipid accumulation in cell lines, an example of drug-induced phospholipidosis, was observed for multiple drugs in macrophages, and measurements of patient-derived Niemann-Pick type C fibroblasts identified lipid accumulation and phenotypic reversal of this lysosomal storage disease. Single-cell measurements using the reporter discerned subcellular differences in equilibrium lipid content, illuminating significant intracellular heterogeneity among endolysosomal organelles of differentiating bone-marrow-derived monocytes. Single-cell kinetics of lipoprotein-derived cholesterol accumulation within macrophages revealed rates that differed among cells by an order of magnitude. This carbon nanotube optical reporter of endolysosomal lipid content in live cells confers additional capabilities for drug development processes and the investigation of lipid-linked diseases.

Published
2017
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35. Control of Carbon Nanotube Solvatochromic Response to Chemotherapeutic Agents.

Author

Harvey JD, Baker HA, Mercer E, Budhathoki-Uprety J, and Heller DA

Subjects
Adsorption, Antineoplastic Agents, DNA, Single-Stranded, Nanotubes, Carbon
Abstract

Alkylating agents such as cisplatin play an essential role in chemotherapy regimens, but initial and acquired resistance in many cancer types often dampen therapeutic response. The poor understanding of the mechanisms of resistance highlight the need for quantitative measurements of alkylating agent distribution at both the tissue and subcellular levels. Sensors for use in live animals and cells would allow for more effective study of drug action and resistance. Toward this end, single-walled carbon nanotubes suspended with single-stranded DNA have suitable optical properties for in vivo sensors, such as near-infrared emission and sensitivity to the local environment via solvatochromic responses. Currently, solvatochromic changes of such sensors have been limited by the chemical nature of the analyte, making it impossible to control the direction of energy emission changes. Here, we describe a new approach to control the direction and magnitude of solvatochromic responses of carbon nanotubes. We found that the alkylation of DNA on the nanotube surface can result in small changes in DNA conformation that allow the adsorption of amphiphiles to produce large differences (>14 nm) in response to different drugs. The technique surprisingly revealed differences among drugs upon alkylation. The ability to control carbon nanotube solvatochromism as desired may potentially expand the application of nanotube-based optical sensors for new classes of analytes.

Published
2017
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36. Novel use of fibrin sealant for scleral suture free placement of a glaucoma drainage device in advanced scleral thinning.

Author

Harvey JD, Gross RL, and McMillan BD

Abstract

Purpose: This reports a case using fibrin glue to secure a glaucoma drainage device plate to the sclera where there is a concern with the use of suture., Observations: A 13-year-old patient with congenital aniridia and associated glaucoma refractory to topical medications underwent implantation of a glaucoma drainage device (GDD) for improved intraocular pressure (IOP) control. The patient had substantial scleral thinning with staphyloma formation, potentially making the use of traditional suturing techniques problematic. Fibrin glue was used to attach the GDD plate, as well the tube and patch graft which has been previously described, without sutures. The patient tolerated the procedure well with a 41% reduction in IOP at six months follow-up with no migration of the GDD from its original position., Conclusions and Importance: The use of fibrin glue in ophthalmology can be expanded to include attachment of the GDD plate to the sclera in patients with suturing contraindications.

Published
2017
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37. Polymer cloaking modulates the carbon nanotube protein corona and delivery into cancer cells.

Author

Budhathoki-Uprety J, Harvey JD, Isaac E, Williams RM, Galassi TV, Langenbacher RE, and Heller DA

Abstract

Carbon nanotube-based molecular probes, imaging agents, and biosensors in cells and in vivo continue to garner interest as investigational tools and clinical devices due to their unique photophysical properties. Surface chemistry modulation of nanotubes plays a critical role in determining stability and interaction with biological systems both in vitro and in vivo. Among the many parameters that influence the biological fate of nanomaterials, surface charge is particularly influential due to direct electrostatic interactions with components of the cell membrane as well as proteins in the serum, which coat the nanoparticle surface in a protein corona and alter nanoparticle-cell interactions. Here, we modulated functional moieties on a helical polycarbodiimide polymer backbone that non-covalently suspended the nanotubes in aqueous media. By derivatizing the polymer with either primary amine or carboxylic acid side chains, we obtained nanotube complexes that present net surface charges of opposite polarity at physiological pH. Using these materials, we found that the uptake of carbon nanotubes in these cells is highly dependent on charge, with cationic nanotubes efficiently internalized into cells compared to the anionic nanotubes. Furthermore, we found that serum proteins drastically influenced cell uptake of the anionic nanotubes, while the effect was not prominent for the cationic nanotubes. Our findings have implications for improved engineering of drug delivery devices, molecular probes, and biosensors.

Published
2017
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38. Periodontal Microbiology.

Author

Harvey JD

Subjects
Dental Plaque complications, Dental Plaque microbiology, Gingivitis diagnosis, Gingivitis etiology, Gingivitis therapy, Humans, Periodontitis diagnosis, Periodontitis etiology, Periodontitis therapy, Gingivitis microbiology, Periodontitis microbiology, Periodontium microbiology
Abstract

This article provides a review of current information about periodontal bacteria, their activities within dental plaque biofilm, their interactions with the host immune system, and the infections with which they are associated. Periodontal disease, plaque formation, and the host immune response are also discussed, as are antimicrobial measures used to control the bacteria and the disease., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Published
2017
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39. A Carbon Nanotube Reporter of miRNA Hybridization Events In Vivo.

Author

Harvey JD, Jena PV, Baker HA, Zerze GH, Williams RM, Galassi TV, Roxbury D, Mittal J, and Heller DA

Abstract

MicroRNAs and other small oligonucleotides in biofluids are promising disease biomarkers, yet conventional assays require complex processing steps that are unsuitable for point-of-care testing or for implantable or wearable sensors. Single-walled carbon nanotubes are an ideal material for implantable sensors, owing to their emission in the near-infrared spectral region, photostability and exquisite sensitivity. Here, we report an engineered carbon-nanotube-based sensor capable of real-time optical quantification of hybridization events of microRNA and other oligonucleotides. The mechanism of the sensor arises from competitive effects between displacement of both oligonucleotide charge groups and water from the nanotube surface, which result in a solvatochromism-like response. The sensor, which allows for detection via single-molecule sensor elements and for multiplexing by using multiple nanotube chiralities, can monitor toehold-based strand-displacement events, which reverse the sensor response and regenerate the sensor complex. We also show that the sensor functions in whole urine and serum, and can non-invasively measure DNA and microRNA after implantation in live mice., Competing Interests: Competing Financial Interests The authors have no competiting financial interests to declare.

Published
2017
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40. Mode-locked Yb-doped fiber laser emitting broadband pulses at ultralow repetition rates.

Author

Bowen P, Erkintalo M, Provo R, Harvey JD, and Broderick NG

Abstract

We report on an environmentally stable, Yb-doped, all-normal dispersion, mode-locked fiber laser that is capable of creating broadband pulses with ultralow repetition rates. Specifically, through careful positioning of fiber sections in an all-PM-fiber cavity mode-locked with a nonlinear amplifying loop mirror, we achieve stable pulse trains with repetition rates as low as 506 kHz. The pulses have several nanojules of energy and are compressible down to ultrashort (<500  fs) durations.

Published
2016
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41. Novel Synthesis and Pharmacological Characterization of NOP Receptor Agonist 8-[(1S,3aS)-2,3,3a,4,5,6-Hexahydro-1H-phenalen-1-yl]-1-phenyl-1,3,8-triazaspiro[4.5]decan-4-one (Ro 64-6198).

Author

Chang SD, Brieaddy LE, Harvey JD, Lewin AH, Mascarella SW, Seltzman HH, Reddy PA, Decker AM, McElhinny CJ Jr, Zhong D, Peterson EE, Navarro HA, Bruchas MR, and Carroll FI

Subjects
Animals, CHO Cells, Calcium metabolism, Cricetulus, Cyclic AMP metabolism, Energy Transfer, Exploratory Behavior drug effects, HEK293 Cells, Humans, Mice, Models, Chemical, Pain Measurement drug effects, Receptors, Opioid chemistry, Receptors, Opioid genetics, Rotarod Performance Test, Nociceptin Receptor, Imidazoles chemistry, Imidazoles pharmacology, Receptors, Opioid agonists, Spiro Compounds chemistry, Spiro Compounds pharmacology
Abstract

The nociceptin/orphanin FQ opioid peptide (NOP) receptor is a widely expressed GPCR involved in the modulation of pain, anxiety, and motor behaviors. Dissecting the functional properties of this receptor is limited by the lack of systemically active ligands that are brain permeant. The small molecule NOP receptor-selective, full agonist 8-[(1S,3aS)-2,3,3a,4,5,6-hexahydro-1H-phenalen-1-yl]-1-phenyl-1,3,8-triazaspiro[4.5]decan-4-one (Ro 64-6198) hydrochloride is an active, brain penetrant ligand, but its difficult and cost-prohibitive synthesis limits its widespread use and availability for animal studies. Here, we detail a more efficient and convenient method of synthesis, and use both in vitro and in vivo pharmacological assays to fully characterize this ligand. Specifically, we characterize the pharmacodynamics of Ro 64-6198 in cAMP and G-protein coupling in vitro and examine, for the first time, the effects of nociceptin/orphanin FQ and Ro 64-6198 in arrestin recruitment assays. Further, we examine the effects of Ro 64-6198 on analgesia, anxiety, and locomotor responses in vivo. This new synthesis and pharmacological characterization provide additional insights into the useful, systemically active, NOP receptor agonist Ro 64-6198.

Published
2015
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42. A novel assay for antibody-dependent cell-mediated cytotoxicity against HIV-1- or SIV-infected cells reveals incomplete overlap with antibodies measured by neutralization and binding assays.

Author

Alpert MD, Heyer LN, Williams DE, Harvey JD, Greenough T, Allhorn M, and Evans DT

Subjects
Animals, Antibody-Dependent Cell Cytotoxicity, CD4-Positive T-Lymphocytes virology, Cell Line, Enzyme-Linked Immunosorbent Assay methods, HIV Envelope Protein gp120 metabolism, Humans, Immunoglobulin G chemistry, Killer Cells, Natural virology, Macaca, Protein Binding, Receptors, IgG biosynthesis, Reproducibility of Results, Virology methods, Antibodies, Viral chemistry, HIV-1 metabolism, Neutralization Tests methods, Simian Immunodeficiency Virus metabolism
Abstract

The resistance of human immunodeficiency virus type 1 (HIV-1) to antibody-mediated immunity often prevents the detection of antibodies that neutralize primary isolates of HIV-1. However, conventional assays for antibody functions other than neutralization are suboptimal. Current methods for measuring the killing of virus-infected cells by antibody-dependent cell-mediated cytotoxicity (ADCC) are limited by the number of natural killer (NK) cells obtainable from individual donors, donor-to-donor variation, and the use of nonphysiological targets. We therefore developed an ADCC assay based on NK cell lines that express human or macaque CD16 and a CD4(+) T-cell line that expresses luciferase from a Tat-inducible promoter upon HIV-1 or simian immunodeficiency virus (SIV) infection. NK cells and virus-infected targets are mixed in the presence of serial plasma dilutions, and ADCC is measured as the dose-dependent loss of luciferase activity. Using this approach, ADCC titers were measured in plasma samples from HIV-infected human donors and SIV-infected macaques. For the same plasma samples paired with the same test viruses, this assay was approximately 2 orders of magnitude more sensitive than optimized assays for neutralizing antibodies-frequently allowing the measurement of ADCC in the absence of detectable neutralization. Although ADCC correlated with other measures of Env-specific antibodies, neutralizing and gp120 binding titers did not consistently predict ADCC activity. Hence, this assay affords a sensitive method for measuring antibodies capable of directing ADCC against HIV- or SIV-infected cells expressing native conformations of the viral envelope glycoprotein and reveals incomplete overlap of the antibodies that direct ADCC and those measured in neutralization and binding assays.

Published
2012
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43. Parabolic and hyper-Gaussian similaritons in fiber amplifiers and lasers with gain saturation.

Author

Kruglov VI, Aguergaray C, and Harvey JD

Abstract

We present a new asymptotically exact analytical similariton solution of the generalized nonlinear Schrdinger equation for pulses propagating in fiber amplifiers and lasers with normal dispersion including the effect of gain saturation. Numerical simulations are in excellent agreement with this analytical solution describing self-similar linearly chirped parabolic pulses. We have also found that for small enough values of the dimensionless saturation energy parameter the fiber amplifiers and lasers can generate a new type of linearly chirped self-similar pulses, which we call Hyper-Gaussian similaritons. The analytical Hyper-Gaussian similariton solution of the generalized nonlinear Schrdinger equation is also in a good agreement with numerical simulations.

Published
2012
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44. ADCC develops over time during persistent infection with live-attenuated SIV and is associated with complete protection against SIV(mac)251 challenge.

Author

Alpert MD, Harvey JD, Lauer WA, Reeves RK, Piatak M Jr, Carville A, Mansfield KG, Lifson JD, Li W, Desrosiers RC, Johnson RP, and Evans DT

Subjects
Animals, Macaca mulatta, SAIDS Vaccines pharmacology, Simian Acquired Immunodeficiency Syndrome prevention & control, Simian Immunodeficiency Virus genetics, Time Factors, Vaccines, Attenuated immunology, Vaccines, Attenuated pharmacology, Antibodies, Viral immunology, Antibody Formation, Antibody-Dependent Cell Cytotoxicity, Immunity, Humoral, SAIDS Vaccines immunology, Simian Acquired Immunodeficiency Syndrome immunology, Simian Immunodeficiency Virus immunology
Abstract

Live-attenuated strains of simian immunodeficiency virus (SIV) routinely confer apparent sterilizing immunity against pathogenic SIV challenge in rhesus macaques. Understanding the mechanisms of protection by live-attenuated SIV may provide important insights into the immune responses needed for protection against HIV-1. Here we investigated the development of antibodies that are functional against neutralization-resistant SIV challenge strains, and tested the hypothesis that these antibodies are associated with protection. In the absence of detectable neutralizing antibodies, Env-specific antibody-dependent cell-mediated cytotoxicity (ADCC) emerged by three weeks after inoculation with SIVΔnef, increased progressively over time, and was proportional to SIVΔnef replication. Persistent infection with SIVΔnef elicited significantly higher ADCC titers than immunization with a non-persistent SIV strain that is limited to a single cycle of infection. ADCC titers were higher against viruses matched to the vaccine strain in Env, but were measurable against viruses expressing heterologous Env proteins. In two separate experiments, which took advantage of either the strain-specificity or the time-dependent maturation of immunity to overcome complete protection against SIV(mac)251 challenge, measures of ADCC activity were higher among the SIVΔnef-inoculated macaques that remained uninfected than among those that became infected. These observations show that features of the antibody response elicited by SIVΔnef are consistent with hallmarks of protection by live-attenuated SIV, and reveal an association between Env-specific antibodies that direct ADCC and apparent sterilizing protection by SIVΔnef.

Published
2012
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45. A panel of IgG1 b12 variants with selectively diminished or enhanced affinity for Fcγ receptors to define the role of effector functions in protection against HIV.

Author

Moldt B, Schultz N, Dunlop DC, Alpert MD, Harvey JD, Evans DT, Poignard P, Hessell AJ, and Burton DR

Subjects
Animals, Antibodies, Neutralizing immunology, Antibodies, Neutralizing metabolism, Cytotoxicity, Immunologic, Enzyme-Linked Immunosorbent Assay, Humans, Killer Cells, Natural immunology, Macaca mulatta, Phagocytosis, Protein Binding, Recombination, Genetic, Simian Immunodeficiency Virus genetics, Simian Immunodeficiency Virus immunology, Surface Plasmon Resonance, HIV Antibodies immunology, HIV Antibodies metabolism, Immunoglobulin G immunology, Immunoglobulin G metabolism, Receptors, Fc immunology, Receptors, Fc metabolism, Simian Acquired Immunodeficiency Syndrome immunology
Abstract

Passive transfer of neutralizing antibodies is effective in protecting rhesus macaques against simian/human immunodeficiency virus (SHIV) challenge. In addition to neutralization, effector functions of the crystallizable fragment (Fc) of antibodies are involved in antibody-mediated protection against a number of viruses. We recently showed that interaction between the Fc fragment of the broadly neutralizing antibody IgG1 b12 and cellular Fcγ receptors (FcγRs) plays an important role in protection against SHIV infection in rhesus macaques. The specific nature of this Fc-dependent protection is largely unknown. To investigate, we generated a panel of 11 IgG1 b12 antibody variants with selectively diminished or enhanced affinity for the two main activating FcγRs, FcγRIIa and FcγRIIIa. All 11 antibody variants bind gp120 and neutralize virus as effectively as does wild-type b12. Binding studies using monomeric (enzyme-linked immunosorbent assay [ELISA] and surface plasmon resonance [SPR]) and cellularly expressed Fcγ receptors show decreased (up to 5-fold) and increased (up to 90-fold) binding to FcγRIIa and FcγRIIIa with this newly generated panel of antibodies. In addition, there was generally a good correlation between b12 variant affinity for Fcγ receptor and variant function in antibody-dependent cell-mediated virus inhibition (ADCVI), phagocytosis, NK cell activation assays, and antibody-dependent cellular cytotoxicity (ADCC) assays. In future studies, these b12 variants will enable the investigation of the protective role of individual FcγRs in HIV infection.

Published
2011
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46. Bragg scattering in a positive β4 fiber.

Author

Provo R, Murdoch S, Harvey JD, and Méchin D

Abstract

The phase-matching curves for the four-wave mixing effect of Bragg scattering in two fibers with opposite sign β(4) dispersion coefficients have been measured experimentally. The measured phase-matching curves are in good agreement with theoretical expectations, and their dependence on several key parameters has been determined.

Published
2010
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47. Quasi-parabolic pulse propagation and breakup in fiber amplifiers with third-order dispersion.

Author

Kruglov VI, Aguergaray C, and Harvey JD

Abstract

We present an analytical solution for propagating pulses in normal dispersion fiber amplifiers, including the effect of third-order dispersion. The solution of the generalized nonlinear Schrödinger equation is based on asymptotic methods, first-order perturbation theory, and a renormalization procedure and leads to determination of the critical length corresponding to pulse breakup. We have also found and confirmed numerically the condition on the parameters that govern the propagation, as is necessary to ensure a highly accurate analytical description of the pulses and critical lengths in fiber amplifiers with third-order dispersion.

Published
2010
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48. Experimental realization of a mode-locked parabolic Raman fiber oscillator.

Author

Aguergaray C, Méchin D, Kruglov V, and Harvey JD

Abstract

We report here the first demonstration of a mode-locked fiber laser delivering parabolic pulses (similaritons) at 1534 nm. The use of a Raman-based gain medium potentially allows its implementation at any wavelength. The 22nJ output similariton pulses have a true parabolic shape both in the time and spectral domains and a linear chirp. Linear recompression close to Fourier limit is demonstrated allowing us to obtain 6 ps compressed pulses with a compression factor of 75.

Published
2010
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49. Widely tunable photonic crystal fiber Fabry-Perot optical parametric oscillator.

Author

Xu YQ, Murdoch SG, Leonhardt R, and Harvey JD

Abstract

We present a widely tunable low-threshold chi(3) optical parametric oscillator. The oscillator cavity is formed by butt coupling dichroic mirrors to either end of a highly nonlinear index-guiding photonic crystal fiber. This yields a singly resonant Fabry-Perot oscillator with a high feedback fraction for the resonant parametric sideband. The tuning range of the output parametric sideband stretches from 23 to 164 THz above the pump frequency. The threshold power of the oscillator is only 15 W.

Published
2008
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50. Strong signal suppression in single-pump optical parametric amplifiers.

Author

Wang JC, Murdoch SG, Leonhardt R, and Harvey JD

Abstract

We show that the combined action of parametric gain and Raman scattering can lead to the complete suppression of an input optical signal in a single-pump parametric amplifier. This suppression is due to an interference between the two parametric gain modes. The interference occurs only at a set of discrete combinations of pump power, phase mismatch, and frequency detuning. Experimentally we are able to demonstrate over 95% (13 dB) suppression of an input signal in an amplifier with a peak parametric gain of only 6 dB.

Published
2008
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