Author: "Simona-Ruxandra Volovat" / Publication Year Range: Last 3 years - Searchworks@Jio Institute Digital Library Search Results

12 results on '"Simona-Ruxandra Volovat"'

1. Machine Learning-Based Algorithms for Enhanced Prediction of Local Recurrence and Metastasis in Low Rectal Adenocarcinoma Using Imaging, Surgical, and Pathological Data

Author: Cristian-Constantin Volovat, Dragos-Viorel Scripcariu, Diana Boboc, Simona-Ruxandra Volovat, Ingrid-Andrada Vasilache, Corina Ursulescu-Lupascu, Liliana Gheorghe, Luiza-Maria Baean, Constantin Volovat, and Viorel Scripcariu
Subjects: rectal cancer, machine learning, risk factors, metastasis, recurrence, Medicine (General), R5-920
Abstract: (1) Background: Numerous variables could influence the risk of rectal cancer recurrence or metastasis, and machine learning (ML)-based algorithms can help us refine the risk stratification process of these patients and choose the best therapeutic approach. The aim of this study was to assess the predictive performance of 4 ML-based models for the prediction of local recurrence or distant metastasis in patients with locally advanced low rectal adenocarcinomas who underwent neoadjuvant chemoradiotherapy and surgical treatment; (2) Methods: Patients who were admitted at the first Oncologic Surgical Clinic from the Regional Institute of Oncology, Iasi, Romania were retrospectively included in this study between November 2019 and July 2023. Decision tree (DT), naïve Bayes (NB), support vector machine (SVM), and random forest (RF) were used to analyze imagistic, surgical, and pathological data retrieved from the medical files, and their predictive performance was assessed; (3) Results: The best predictive performance was achieved by RF when used to predict disease recurrence (accuracy: 90.85%) or distant metastasis (accuracy: 89.63%). RF was closely followed by SVM (accuracy for recurrence 87.8%; accuracy for metastasis: 87.2%) in terms of predictive performance. NB and DT achieved moderate predictive power for the evaluated outcomes; (4) Conclusions: Complex algorithms such as RF and SVM could be useful for improving the prediction of adverse oncological outcomes in patients with low rectal adenocarcinoma.
Published: 2024
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2. Predicting the Feasibility of Curative Resection in Low Rectal Cancer: Insights from a Prospective Observational Study on Preoperative Magnetic Resonance Imaging Accuracy

Author: Cristian-Constantin Volovat, Dragos-Viorel Scripcariu, Diana Boboc, Simona-Ruxandra Volovat, Ingrid-Andrada Vasilache, Corina Lupascu-Ursulescu, Liliana Gheorghe, Luiza-Maria Baean, Constantin Volovat, and Viorel Scripcariu
Subjects: rectal adenocarcinoma, magnetic resonance imaging, predictive performance, combined models, Medicine (General), R5-920
Abstract: Background and Objectives: A positive pathological circumferential resection margin is a key prognostic factor in rectal cancer surgery. The point of this prospective study was to see how well different MRI parameters could predict a positive pathological circumferential resection margin (pCRM) in people who had been diagnosed with rectal adenocarcinoma, either on their own or when used together. Materials and Methods: Between November 2019 and February 2023, a total of 112 patients were enrolled in this prospective study and followed up for a 36-month period. MRI predictors such as circumferential resection margin (mCRM), presence of extramural venous invasion (mrEMVI), tumor location, and the distance between the tumor and anal verge, taken individually or combined, were evaluated with univariate and sensitivity analyses. Survival estimates in relation to a pCRM status were also determined using Kaplan–Meier analysis. Results: When individually evaluated, the best MRI predictor for the detection of a pCRM in the postsurgical histopathological examination is mrEMVI, which achieved a sensitivity (Se) of 77.78%, a specificity (Sp) of 87.38%, a negative predictive value (NPV) of 97.83%, and an accuracy of 86.61%. Also, the best predictive performance was achieved by a model that comprised all MRI predictors (mCRM+ mrEMVI+ anterior location+ < 4 cm from the anal verge), with an Se of 66.67%, an Sp of 88.46%, an NPV of 96.84%, and an accuracy of 86.73%. The survival rates were significantly higher in the pCRM-negative group (p < 0.001). Conclusions: The use of selective individual imaging predictors or combined models could be useful for the prediction of positive pCRM and risk stratification for local recurrence or distant metastasis.
Published: 2024
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3. The Landscape of Nanovectors for Modulation in Cancer Immunotherapy

Author: Simona-Ruxandra Volovat, Corina Lupascu Ursulescu, Liliana Gheorghe Moisii, Constantin Volovat, Diana Boboc, Dragos Scripcariu, Florin Amurariti, Cipriana Stefanescu, Cati Raluca Stolniceanu, Maricel Agop, Cristian Lungulescu, and Cristian Constantin Volovat
Subjects: immunotherapy, nanomedicine, nanotechnology, nanopharmaceuticals, nanoparticles, bioinspired nanovectors, Pharmacy and materia medica, RS1-441
Abstract: Immunotherapy represents a promising strategy for the treatment of cancer, which functions via the reprogramming and activation of antitumor immunity. However, adverse events resulting from immunotherapy that are related to the low specificity of tumor cell-targeting represent a limitation of immunotherapy’s efficacy. The potential of nanotechnologies is represented by the possibilities of immunotherapeutical agents being carried by nanoparticles with various material types, shapes, sizes, coated ligands, associated loading methods, hydrophilicities, elasticities, and biocompatibilities. In this review, the principal types of nanovectors (nanopharmaceutics and bioinspired nanoparticles) are summarized along with the shortcomings in nanoparticle delivery and the main factors that modulate efficacy (the EPR effect, protein coronas, and microbiota). The mechanisms by which nanovectors can target cancer cells, the tumor immune microenvironment (TIME), and the peripheral immune system are also presented. A possible mathematical model for the cellular communication mechanisms related to exosomes as nanocarriers is proposed.
Published: 2022
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4. Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Author: V Bhattacharjee, N, E Schumacher, A, Aali, A, Habtegiorgis Abate, Y, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abd-Elsalam, S, Abdollahi, M, Abdollahifar, M, Abdoun, M, Abdullahi, A, Abebe, M, Shawel Abebe, S, Abiodun, O, Abolhassani, H, Abolmaali, M, Abouzid, M, Beressa Aboye, G, Guimarães Abreu, L, Aberhe Abrha, W, M Abrigo, M, Abtahi, D, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Me Abu-Rmeileh, N, Girum Girum Adal, T, Molla Adane, M, Atanda Adeagbo Adeagbo, O, Adesoji Adedoyin, R, Adekanmbi, V, Aden, B, Victor Adepoju, A, O Adetokunboh, O, Bunmi Adetunji, J, Adedayo Adeyinka, D, Israel Adeyomoye, O, Estiningtyas Sakilah Adnani, Q, Adra, S, Felix Afolabi, R, Afyouni, S, Sohail Afzal, M, Afzal, S, Aghamiri, S, Agodi, A, Agyemang-Duah, W, Opoku Ahinkorah, B, J Ahlstrom, A, Ahmad, A, Ahmad, D, Ahmad, F, M Ahmad, M, Ahmad, S, Ahmad, T, Ahmed, A, Ahmed, H, A Ahmed, L, Saleh Ahmed, M, Anees Ahmed, S, Ajami, M, Aji, B, Taddesse Akalu, G, Akbarialiabad, H, Olusola Akinyemi, R, Ahmed Akkaif, M, Akkala, S, Al Hamad, H, Mahfuz Al Hasan, S, Al Qadire, M, Mohammed Ali Al-Ahdal, T, O Alalalmeh, S, A Alalwan, T, Al-Aly, Z, Alam, K, Mustafa Al-Amer, R, Mashhour Alanezi, F, M Alanzi, T, Albakri, A, Albashtawy, M, T AlBataineh, M, Alemi, H, Alemi, S, Mulugeta Alemu, Y, Al-Eyadhy, A, Ali Saeed Al-Gheethi, A, F Alhabib, K, Alhajri, N, Alhalaiqa Naji Alhalaiqa, F, Kaba Alhassan, R, Ali, A, Abdulqadir Ali, B, Ali, L, Usman Ali, M, Ali, R, Shujait Shujait Ali, S, Mohammad Alif, S, Aligol, M, Alijanzadeh, M, M Aljasir, M, Mohamed Aljunid, S, Al-Marwani, S, Uy Almazan, J, M Al-Mekhlafi, H, Almidani, O, A Alomari, M, Al-Omari, B, S Alqahtani, J, Yaseen Alqutaibi, A, M Al-Raddadi, R, Khalifah Al-Sabah, S, Altaf, A, A Al-Tawfiq, J, A Altirkawi, K, Oyine Aluh, D, Jawad Alvi, F, Alvis-Guzman, N, Alwafi, H, Mohammed Al-Worafi, Y, Aly, H, Aly, S, H Alzoubi, K, Kwabena Ameyaw, E, Tawfik Amin, T, Amindarolzarbi, A, Amini-Rarani, M, Amiri, S, Gyamfuah Ampomah, I, A Amugsi, D, Adeniyi Amusa, G, Ancuceanu, R, Anderlini, D, Prata Andrade, P, Liliana Andrei, C, Andrei, T, Anil, A, Anil, S, Ansar, A, Ansari-Moghaddam, A, M Antony, C, Antriyandarti, E, Anvari, S, Anwar, S, Anwer, R, Edward Anyasodor, A, Arabloo, J, Arabzadeh Bahri, R, A Arafa, E, Arafat, M, Margarida Araújo, A, Y Aravkin, A, Aremu, A, Aripov, T, Arkew, M, Armocida, B, Ärnlöv, J, Arooj, M, A Artamonov, A, Arulappan, J, Taiwo Aruleba, R, Arumugam, A, Asadi-Lari, M, Asemi, Z, Asgary, S, Asghariahmadabad, M, Asghari-Jafarabadi, M, Yesse Ashemo, M, Ashraf, M, Ashraf, T, O Asika, M, Shamsadin Athari, S, Moh'd Wahbi Atout, M, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Mulat Aweke, A, Melaku Ayele, G, Mohammad Ayyoubzadeh, S, Azadnajafabad, S, S Azevedo, R, Y Azzam, A, Badar, M, D Badiye, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bahmanziari, N, Bai, R, Amin Baig, A, L Baker, J, T Bako, A, Kaur Bakshi, R, Balasubramanian, M, Constantin Baltatu, O, Bam, K, Banach, M, Bandyopadhyay, S, Banik, B, Chandra Banik, P, Bansal, H, Firat Baran, M, Barchitta, M, Bardhan, M, Bardideh, E, Lyn Barker-Collo, S, Winfried Bärnighausen, T, Barone-Adesi, F, Jawdat Barqawi, H, Barrow, A, Barteit, S, Basharat, Z, J Bashir, A, Akande Bashiru, H, Basiru, A, Diogo Basso, J, Basu, S, Mohammad Batiha, A, Batra, K, T Baune, B, Bayati, M, Begum, T, Behboudi, E, Hossein Behnoush, A, Beiranvand, M, Fernanda Bejarano Ramirez, D, Bekele, A, Assefa Belay, S, Iqbal Belgaumi, U, L Bell, M, Omolaja Bello, O, Beloukas, A, M Bensenor, I, Berezvai, Z, Yirga Berhie, A, C Bermudez, A, G Bettencourt, P, Srikanth Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, V Bhardwaj, P, Bhaskar, S, Bhat, V, Kaur Bhatti, G, Singh Bhatti, J, S Bhatti, M, Bhatti, R, Biondi, A, Bisignano, C, Biswas, A, Kishore Biswas, R, R Bitra, V, Bjørge, T, Bliss, E, Kofi Boachie, M, Vasilica Bobirca, A, Bodolica, V, Olalekan Bodunrin, A, Ketema Bogale, E, Angaw Bogale, K, Bonakdar Hashemi, M, Bora Basara, B, Bouaoud, S, Braithwaite, D, Brauer, M, K Breitborde, N, Bryazka, D, B Bulamu, N, Buonsenso, D, Burkart, K, A Burns, R, Bustanji, Y, Shafique Butt, N, A Butt, Z, Luciano Caetano Dos Santos, F, Calina, D, R Campos-Nonato, I, Cao, F, Cao, S, Capodici, A, Carreras, G, Carugno, A, A Castañeda-Orjuela, C, Castelpietra, G, Sofia Cattaruzza, M, Caye, A, Cegolon, L, Cembranel, F, Cerin, E, Chadwick, J, Chahine, Y, Chakraborty, C, Chalek, J, Shi Kai Chan, J, Charalampous, P, Kumar Chattu, V, Chaturvedi, S, Paul Chavula, M, Chen, A, Chen, H, Chen, S, Chi, G, Chichagi, F, Chien, J, R Ching, P, S Cho, W, Choi, S, Chong, B, Chopra, H, Gajanan Choudhari, S, J Christopher, D, Chu, D, Sunday Chukwu, I, Chung, E, Chung, S, Cindi, Z, Cioffi, I, Ciuffreda, R, M Claro, R, Coberly, K, Columbus, A, Comfort, H, Conde, J, H Criqui, M, Cruz-Martins, N, Magali Cuadra-Hernández, S, Dadana, S, Dadras, O, Dahiru, T, Dai, Z, Dalton, B, Damiani, G, Mohammad Darwesh, A, K Das, J, Das, S, Dashti, M, Dastiridou, A, Alberto Dávila-Cervantes, C, Davletov, K, Tamire Debele, A, Debopadhaya, S, Delavari, S, Delgado-Enciso, I, Demeke, D, Hundessa Demessa, B, Deng, X, Denova-Gutiérrez, E, Deribe, K, Dervenis, N, Dineshbhai Desai, H, Desai, R, Gnana Chellaiyan Devanbu, V, Dhali, A, Dhama, K, Dhimal, M, R Dhulipala, V, Dias da Silva, D, Diaz, D, J Diaz, M, Dima, A, D Ding, D, Ashworth Dirac, M, Chi Do, T, Huynh Phuong Do, T, Bruneli do Prado, C, Dohare, S, Dong, W, D'Oria, M, Mombaque Dos Santos, W, Doshmangir, L, Kokou Dowou, R, Chelsea Dsouza, A, Larson Dsouza, H, Dsouza, V, Dube, J, Duprey, J, Rodrigues Duraes, A, Duraisamy, S, Christopher Durojaiye, O, Dutta, S, Dwyer-Lindgren, L, Agnieszka Dzianach, P, Marian Dziedzic, A, Ebrahimi, A, Atan Edinur, H, Edvardsson, K, Efendi, F, Andreas Eikemo, T, Ekholuenetale, M, El Tantawi, M, Mousaad Elemam, N, Metwally Tawfik ElGohary, G, Elhadi, M, Tesfaye Elilo, L, Abdelsadek Abdou Elmeligy, O, A Elmonem, M, Elshaer, M, Elsohaby, I, Emami Zeydi, A, Engelbert Bain, L, Eskandarieh, S, Esposito, F, Estep, K, Etaee, F, Fabin, N, Francis Fagbamigbe, A, Fahimi, S, Fakhri-Demeshghieh, A, Falzone, L, Faramarzi, A, Ezzat Mahmoud Faris, M, Farmer, S, Faro, A, Omolara Fasanmi, A, Fatehizadeh, A, Klau Fauk, N, Fazeli, P, L Feigin, V, Fereshtehnejad, S, Hamid Feroze, A, Ferrara, P, Ferreira, N, Fetensa, G, Filip, I, Fischer, F, Flavel, J, A Foigt, N, Oluwatoyin Folayan, M, Alekseevich Fomenkov, A, Foroutan, B, Foschi, M, Raphael Fowobaje, K, Louise Francis, K, Freitas, A, Fukumoto, T, E Fuller, J, Fux, B, Andras Gaal, P, A Gadanya, M, Motiramji Gaidhane, A, Galali, Y, Gallus, S, P Gandhi, A, Ganesan, B, Arfat Ganiyani, M, A Garcia-Gordillo, M, Garg, N, K Gautam, R, Gazzelloni, F, Olatunde Gbadamosi, S, W Gebregergis, M, Gebrehiwot, M, Brhane Gebremariam, T, B Gebremariam, T, Gebru Gebremeskel, T, Fikadu Geda, Y, Roxana Georgescu, S, Gerema, U, Geremew, H, Erena Getachew, M, W Gething, P, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghassemi, F, Mohamed Ghazy, R, Ghimire, S, Gholamian, A, Gholamrezanezhad, A, Ghorbani, M, Gopal Ghoshal, A, Digambarrao Ghuge, A, Urievich Gil, A, K Gill, T, Giorgi, M, Girmay, A, C Glasbey, J, Göbölös, L, Goel, A, Golchin, A, Golechha, M, Goleij, P, Vali Gopalani, S, Goudarzi, H, C Goulart, A, Goyal, A, Matthew Graham, S, Grivna, M, Guan, S, Guarducci, G, Ibrahim Mohialdeen Gubari, M, Dechasa Gudeta, M, Guicciardi, S, Gulati, S, Gulisashvili, D, Asanga Gunawardane, D, Guo, C, Kumar Gupta, A, Gupta, B, Kumar Gupta, M, Gupta, M, Gupta, S, Bala Gupta, V, Kumar Gupta, V, Haakenstad, A, Habibzadeh, F, R Hadi, N, Haep, N, Hajibeygi, R, Haller, S, Halwani, R, R Hamadeh, R, M Hamdy, N, Hameed, S, Hamidi, S, Han, Q, J Handal, A, J Hankey, G, Nuruzzaman Haque, M, Maria Haro, J, I Hasaballah, A, Hasan, I, Jahid Hasan, M, M Mahmudul Hasan, S, Hasani, H, Saquib Hasnain, M, Hassan, A, Hassan, I, Hassanipour, S, Hassankhani, H, I Hay, S, J Hebert, J, E Hegazi, O, Heidari, M, Helfer, B, Hemmati, M, Yuliana Herrera-Serna, B, Herteliu, C, Hessami, K, Hezam, K, Hiraike, Y, Quoc Hoan, N, Holla, R, Horita, N, Mahbub Hossain, M, Bellal Hossain Hossain, M, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hsairi, M, Chia-Rong Hsieh, V, Hu, C, Huang, J, Mamun Huda, M, Humayun, A, Hussain, J, R Hussein, N, Huynh, H, Hwang, B, Emmanuel Ibitoye, S, Maria Iftikhar, P, Stephen Ilesanmi, O, M Ilic, I, D Ilic, M, Immurana, M, Raja Inbaraj, L, Iqbal, A, Rabiul Islam, M, Elkudssiah Ismail, N, Iso, H, Isola, G, Iwagami, M, Iyer, M, J, L, Jaafari, J, Jacob, L, Jadidi-Niaragh, F, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, A, Jain, N, Abdulrahman Jairoun, A, Jakovljevic, M, Jamshidi, E, Javadov, S, Javaheri, T, Kumar Jayapal, S, Jayaram, S, Ha Jee, S, Jeganathan, J, K Jha, A, Prakash Jha, R, Jiang, H, Jokar, M, B Jonas, J, Joo, T, Joseph, N, Ehimwenma Joshua, C, Joukar, F, Jerzy Jozwiak, J, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, H, Kabir, Z, Kalani, R, R Kalankesh, L, Kaliyadan, F, Kalra, S, Kamath, R, Kamath, S, Kanchan, T, Wedam Kanmiki, E, Kazeem Kanmodi, K, S, S, Kumar Kansal, S, S Kantar, R, Kapoor, N, Karajizadeh, M, Karami, M, M Karaye, I, Zaffar Kashoo, F, Kasraei, H, J Kassebaum, N, B Kassel, M, H Kauppila, J, Kazemi, F, Kazeminia, S, H Kempen, J, Shoshannah Kendal, E, Keshtkar, K, Keykhaei, M, Khajuria, H, Khalaji, A, Khalid, N, Ahmed Khalil, A, Khalilian, A, Khamesipour, F, Khan, A, Khan, I, Nuruzzaman Khan, M, Khan, M, Jobair Khan, M, Ab Khan, M, Khang, Y, Khanmohammadi, S, Khatab, K, Khavandegar, A, Reza Khayat Kashani, H, Fatima Khidri, F, Khormali, M, Ali Khosravi, M, Khosrowjerdi, M, Teklesilasie Kidane, W, Demelash Kifle, Z, Sojin Kim, J, Seo Kim, M, W Kimokoti, R, E Kinzel, K, Tsegay Kiross, G, Kisa, A, Kisa, S, Kolahi, A, Kompani, F, Koren, G, Korzh, O, Kosen, S, Lakshmi Koulmane Laxminarayana, S, Krishan, K, Krishna, V, Krishnamoorthy, V, Kuate Defo, B, M Kubeisy, C, Kucuk Bicer, B, Abdul Kuddus, M, Kuddus, M, Kuitunen, I, Kulimbet, M, Kumar, H, Kundu, S, Rotimi Kunle, K, P Kurmi, O, Kusnali, A, Kusuma, D, F Kyei, E, Kyriopoulos, I, La Vecchia, C, Lacey, B, Awwal Ladan, M, Laflamme, L, Lahariya, C, Teck Ching Lai, D, Kumar Lal, D, Lalloo, R, Lám, J, Lamnisos, D, Landires, I, Lanfranchi, F, Langguth, B, Laplante-Lévesque, A, Jane Larson, H, O Larsson, A, Lasrado, S, Latief, K, Latifinaibin, K, Khanh Dao Le, L, Huu Hanh Le, N, Diep Thanh Le, T, Ledda, C, Lee, M, H Lee, P, Won Lee, S, Han Lee, Y, Kiros Lema, G, Leong, E, L Lerango, T, Li, A, Li, M, Li, S, Li, W, Li, X, S Ligade, V, S Lim, S, Lin, R, A Lindstedt, P, Listl, S, Liu, G, Liu, J, Liu, X, Liu, Y, Llanaj, E, López-Bueno, R, D Lopukhov, P, Lorenzovici, L, A Lotufo, P, Lubinda, J, Lucchetti, G, Lugo, A, Lunevicius, R, Lv, H, Feei Ma, Z, Lynn Maass, K, Machoy, M, M Madureira-Carvalho, Á, Magdy Abd El Razek, M, A Maghazachi, A, Mahjoub, S, Adam Mahmoud, M, Majeed, A, N Malagón-Rojas, J, Malakan Rad, E, Malhotra, K, Azam Malik, A, Malik, I, Carvalho Malta, D, A Mamun, A, Manla, Y, Mansoori, Y, Mansour, A, Mansouri, B, Mansouri, Z, Ali Mansournia, M, C Maravilla, J, Marino, M, Marjani, A, Martinez, G, Martinez-Piedra, R, Rogerlândio Martins-Melo, F, Martorell, M, Maryam, S, Rillera Marzo, R, Masoudi, A, Mattumpuram, J, James Maude, R, Maugeri, A, A May, E, Mayeli, M, Mazaheri, M, J McGrath, J, Mckee, M, Laura Wensel McKowen, A, A McLaughlin, S, M McPhail, S, Mehra, R, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Mekene Meto, T, Alberto Mendez Mendez-Lopez, M, Mendoza, W, G Menezes, R, A Mensah, G, A Mentis, A, Ayoub Meo, S, Merati, M, Meretoja, A, J Meretoja, T, M Mersha, A, Mestrovic, T, Metanat, P, Chamila Dinushi Mettananda, K, Mettananda, S, Mhlanga, A, Mhlanga, L, Mi, T, Miazgowski, T, Micha, G, Maria Michalek, I, R Miller, T, Huu Nhat Minh, L, Mirghafourvand, M, M Mirrakhimov, E, Kiros Mirutse, M, Mirza, M, Mirzaei, R, Mishra, A, Misra, S, B Mitchell, P, Mittal, C, Moazen, B, Z Mohamed, A, Ismail Mohamed, A, Mohamed, J, 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Dharmesh Kumar Lal, Ratilal Lalloo, Judit Lám, Demetris Lamnisos, Iván Landires, Francesco Lanfranchi, Berthold Langguth, Ariane Laplante-Lévesque, Heidi Jane Larson, Anders O Larsson, Savita Lasrado, Kamaluddin Latief, Kaveh Latifinaibin, Long Khanh Dao Le, Nhi Huu Hanh Le, Trang Diep Thanh Le, Caterina Ledda, Munjae Lee, Paul H Lee, Seung Won Lee, Yo Han Lee, Gebretsadik Kiros Lema, Elvynna Leong, Temesgen L Lerango, An Li, Ming-Chieh Li, Shanshan Li, Wei Li, Xiaopan Li, Virendra S Ligade, Stephen S Lim, Ro-Ting Lin, Paulina A Lindstedt, Stefan Listl, Gang Liu, Jue Liu, Xiaofeng Liu, Xuefeng Liu, Yuewei Liu, Erand Llanaj, Rubén López-Bueno, Platon D Lopukhov, László Lorenzovici, Paulo A Lotufo, Jailos Lubinda, Giancarlo Lucchetti, Alessandra Lugo, Raimundas Lunevicius, Hengliang Lv, Zheng Feei Ma, Kelsey Lynn Maass, Monika Machoy, Áurea M Madureira-Carvalho, Mohammed Magdy Abd El Razek, Azzam A Maghazachi, Soleiman Mahjoub, Mansour Adam Mahmoud, Azeem Majeed, Jeadran N Malagón-Rojas, Elaheh Malakan Rad, Kashish Malhotra, Ahmad Azam Malik, Iram Malik, Deborah Carvalho Malta, Abdullah A Mamun, Yosef Manla, Yasaman Mansoori, Ali Mansour, Borhan Mansouri, Zeinab Mansouri, Mohammad Ali Mansournia, Joemer C Maravilla, Mirko Marino, Abdoljalal Marjani, Gabriel Martinez, Ramon Martinez-Piedra, Francisco Rogerlândio Martins-Melo, Miquel Martorell, Sharmeen Maryam, Roy Rillera Marzo, Alireza Masoudi, Jishanth Mattumpuram, Richard James Maude, Andrea Maugeri, Erin A May, Mahsa Mayeli, Maryam Mazaheri, John J McGrath, Martin McKee, Anna Laura Wensel McKowen, Susan A McLaughlin, Steven M McPhail, Rahul Mehra, Kamran Mehrabani-Zeinabad, Entezar Mehrabi Nasab, Tesfahun Mekene Meto, Max Alberto Mendez Mendez-Lopez, Walter Mendoza, Ritesh G Menezes, George A Mensah, Alexios-Fotios A Mentis, Sultan Ayoub Meo, Mohsen Merati, Atte Meretoja, Tuomo J Meretoja, Abera M Mersha, Tomislav Mestrovic, Pouya Metanat, Kukulege Chamila Dinushi Mettananda, Sachith Mettananda, Adquate Mhlanga, Laurette Mhlanga, Tianyue Mi, Tomasz Miazgowski, Georgia Micha, Irmina Maria Michalek, Ted R Miller, Le Huu Nhat Minh, Mojgan Mirghafourvand, Erkin M Mirrakhimov, Mizan Kiros Mirutse, Moonis Mirza, Roya Mirzaei, Ashim Mishra, Sanjeev Misra, Philip B Mitchell, Chaitanya Mittal, Babak Moazen, Abdalla Z Mohamed, Ahmed Ismail Mohamed, Jama Mohamed, Mouhand F H Mohamed, Nouh Saad Mohamed, Sakineh Mohammad-Alizadeh-Charandabi, Soheil Mohammadi, Abdollah Mohammadian-Hafshejani, Mustapha Mohammed, Salahuddin Mohammed, Shafiu Mohammed, Ali H Mokdad, Peyman Mokhtarzadehazar, Hossein Molavi Vardanjani, Sabrina Molinaro, Lorenzo Monasta, Mohammad Ali Moni, Maryam Moradi, Yousef Moradi, Paula Moraga, Rafael Silveira Moreira, Negar Morovatdar, Shane Douglas Morrison, Jakub Morze, Abbas Mosapour, Elias Mossialos, Rohith Motappa, Parsa Mousavi, Amin Mousavi Khaneghah, Christine Mpundu-Kaambwa, Sumaira Mubarik, Lorenzo Muccioli, Francesk Mulita, Kavita Munjal, Efrén Murillo-Zamora, Jonah Musa, Fungai Musaigwa, Ana-Maria Musina, Sathish Muthu, Saravanan Muthupandian, Muhammad Muzaffar, Woojae Myung, Ahamarshan Jayaraman Nagarajan, Gabriele Nagel, Pirouz Naghavi, Ganesh R Naik, Gurudatta Naik, Mukhammad David Naimzada, Firzan Nainu, Vinay Nangia, Sreenivas Narasimha Swamy, Bruno Ramos Nascimento, Gustavo G Nascimento, Abdallah Y Naser, Mohammad Javad Nasiri, Zuhair S Natto, Javaid Nauman, Muhammad Naveed, Biswa Prakash Nayak, Vinod C Nayak, Rawlance Ndejjo, Sabina Onyinye Nduaguba, Hadush Negash, Chernet Tafere Negesse, Ionut Negoi, Ruxandra Irina Negoi, Seyed Aria Nejadghaderi, Chakib Nejjari, Samata Nepal, Henok Biresaw Netsere, Georges Nguefack-Tsague, Josephine W Ngunjiri, Dang H Nguyen, Hau Thi Hien Nguyen, Phuong The Nguyen, QuynhAnh P Nguyen, Van Thanh Nguyen, Robina Khan Niazi, Yeshambel T Nigatu, Taxiarchis Konstantinos Nikolouzakis, Ali Nikoobar, Amin Reza Nikpoor, Chukwudi A Nnaji, Lawrence Achilles Nnyanzi, Efaq Ali Noman, Shuhei Nomura, Mamoona Noreen, Nafise Noroozi, Chisom Adaobi Nri-Ezedi, Mengistu H Nunemo, Virginia Nuñez-Samudio, Dieta Nurrika, Jerry John Nutor, Bogdan Oancea, Kehinde O Obamiro, Ismail A Odetokun, Nkechi Martina Odogwu, Martin James O'Donnell, Oluwakemi Ololade Odukoya, Ayodipupo Sikiru Oguntade, James Odhiambo Oguta, In-Hwan Oh, Sylvester Reuben Okeke, Akinkunmi Paul Okekunle, Osaretin Christabel Okonji, Patrick Godwin Okwute, Andrew T Olagunju, Omotola O Olasupo, Matthew Idowu Olatubi, Gláucia Maria Moraes Oliveira, Bolajoko Olubukunola Olusanya, Jacob Olusegun Olusanya, Gideon Olamilekan Oluwatunase, Hany A Omar, Goran Latif Omer, Obinna E Onwujekwe, Michal Ordak, Orish Ebere Orisakwe, Verner N Orish, Doris V Ortega-Altamirano, Alberto Ortiz, Esteban Ortiz-Prado, Wael M S Osman, Uchechukwu Levi Osuagwu, Olayinka Osuolale, Adrian Otoiu, Stanislav S Otstavnov, Amel Ouyahia, Guoqing Ouyang, Mayowa O Owolabi, Yaz Ozten, Mahesh Padukudru P A, Mohammad Taha Pahlevan Fallahy, Feng Pan, Hai-Feng Pan, Adrian Pana, Paramjot Panda, Songhomitra Panda-Jonas, Helena Ullyartha Pangaribuan, Georgios D Panos, Leonidas D Panos, Ioannis Pantazopoulos, Anca Mihaela Pantea Stoian, Romil R Parikh, Seoyeon Park, Ashwaghosha Parthasarathi, Ava Pashaei, Roberto Passera, Hemal M Patel, Jay Patel, Shankargouda Patil, Dimitrios Patoulias, Venkata Suresh Patthipati, Uttam Paudel, Mihaela Paun, Hamidreza Pazoki Toroudi, Spencer A Pease, Amy E Peden, Paolo Pedersini, Minjin Peng, Umberto Pensato, Veincent Christian Filipino Pepito, Prince Peprah, Gavin Pereira, Mario F P Peres, Arokiasamy Perianayagam, Norberto Perico, Simone Perna, Richard G Pestell, Fanny Emily Petermann-Rocha, Hoang Tran Pham, Anil K Philip, Daniela Pierannunzio, Manon Pigeolet, David M Pigott, Evgenii Plotnikov, Dimitri Poddighe, Peter Pollner, Ramesh Poluru, Maarten J Postma, Ghazaleh Pourali, Akram Pourshams, Naeimeh Pourtaheri, Disha Prabhu, Sergio I Prada, Pranil Man Singh Pradhan, Manya Prasad, Akila Prashant, Bharathi M Purohit, Jagadeesh Puvvula, Nameer Hashim Qasim, Ibrahim Qattea, Deepthi R, Mehrdad Rabiee Rad, Amir Radfar, Venkatraman Radhakrishnan, Pourya Raee, Hadi Raeisi Shahraki, Alireza Rafiei, Seyedeh Niloufar Rafiei Alavi, Cat Raggi, Pankaja Raghav Raghav, Fakher Rahim, Md Jillur Rahim, Md Mosfequr Rahman, Mohammad Hifz Ur Rahman, Mosiur Rahman, Muhammad Aziz Rahman, Vahid Rahmanian, Masoud Rahmati, Niloufar Rahnavard, Pramila Rai, Diego Raimondo, Ali Rajabpour-Sanati, Prashant Rajput, Prasanna Ram, Shakthi Kumaran Ramasamy, Juwel Rana, Kritika Rana, Shailendra Singh Rana, Chhabi Lal Ranabhat, Nemanja Rancic, Amey Rane, Shubham Ranjan, Chythra R Rao, Indu Ramachandra Rao, Deepthi Rapaka, Davide Rasella, Sina Rashedi, Vahid Rashedi, Mohammad-Mahdi Rashidi, Azad Rasul, Zubair Ahmed Ratan, Giridhara Rathnaiah Babu, Santosh Kumar Rauniyar, Nakul Ravikumar, David Laith Rawaf, Salman Rawaf, Reza Rawassizadeh, Bharat Rawlley, Murali Mohan Rama Krishna Reddy, Elrashdy Moustafa Mohamed Redwan, Giuseppe Remuzzi, Bhageerathy Reshmi, Nazila Rezaei, Aida Rezaei Nejad, Mohsen Rezaeian, Abanoub Riad, Mavra A Riaz, Jennifer Rickard, Reza Rikhtegar, Hannah Elizabeth Robinson-Oden, Célia Fortuna Rodrigues, Jefferson Antonio Buendia Rodriguez, Ravi Rohilla, Debby Syahru Romadlon, Luca Ronfani, Himanshu Sekhar Rout, Bedanta Roy, Nitai Roy, Priyanka Roy, Enrico Rubagotti, Guilherme de Andrade Ruela, Susan Fred Rumisha, Tilleye Runghien, Manjula S, Chandan S N, Aly M A Saad, Zahra Saadatian, Maha Mohamed Saber-Ayad, Morteza SaberiKamarposhti, Siamak Sabour, Fatos Sada, Basema Saddik, Bashdar Abuzed Sadee, Ehsan Sadeghi, Erfan Sadeghi, Mohammad Reza Saeb, Umar Saeed, Sher Zaman Safi, Dominic Sagoe, Manika Saha, Amirhossein Sahebkar, Soumya Swaroop Sahoo, Monalisha Sahu, Zahra Saif, Joseph W Sakshaug, Payman Salamati, Afeez Abolarinwa Salami, Mohamed A Saleh, Marwa Rashad Salem, Mohammed Z Y Salem, Sohrab Salimi, Sara Samadzadeh, Yoseph Leonardo Samodra, Vijaya Paul Samuel, Abdallah M Samy, Juan Sanabria, Nima Sanadgol, Francesca Sanna, Milena M Santric-Milicevic, Haaris Saqib, Sivan Yegnanarayana Iyer Saraswathy, Aswini Saravanan, Babak Saravi, Yaser Sarikhani, Tanmay Sarkar, Rodrigo Sarmiento-Suárez, Gargi Sachin Sarode, Sachin C Sarode, Arash Sarveazad, Brijesh Sathian, Thirunavukkarasu Sathish, Anudeep Sathyanarayan, Abu Sayeed, Md Abu Sayeed, Nikolaos Scarmeas, Winfried Schlee, Art Schuermans, David C Schwebel, Falk Schwendicke, Siddharthan Selvaraj, Pallav Sengupta, Subramanian Senthilkumaran, Sadaf G Sepanlou, Dragos Serban, Edson Serván-Mori, Yashendra Sethi, SeyedAhmad SeyedAlinaghi, Seyed Arsalan Seyedi, Allen Seylani, Mahan Shafie, Jaffer Shah, Pritik A Shah, Ataollah Shahbandi, Samiah Shahid, Moyad Jamal Shahwan, Ahmed Shaikh, Masood Ali Shaikh, Muhammad Aaqib Shamim, Mehran Shams-Beyranvand, Mohammad Anas Shamsi, Mohd Shanawaz, Abhishek Shankar, Mohammed Shannawaz, Medha Sharath, Sadaf Sharfaei, Amin Sharifan, Javad Sharifi-Rad, Manoj Sharma, Rajesh Sharma, Ujjawal Sharma, Vishal Sharma, Rajesh P Shastry, Amin Shavandi, David H Shaw, Amir Mehdi Shayan, Maryam Shayan, Amr Mohamed Elsayed Shehabeldine, Aziz Sheikh, Rahim Ali Sheikhi, Manjunath Mala Shenoy, Pavanchand H Shetty, Peilin Shi, Desalegn Shiferaw, Mika Shigematsu, Rahman Shiri, Reza Shirkoohi, Aminu Shittu, Velizar Shivarov, Farhad Shokraneh, Sina Shool, Seyed Afshin Shorofi, Kanwar Hamza Shuja, Kerem Shuval, Emmanuel Edwar Siddig, João Pedro Silva, Luís Manuel Lopes Rodrigues Silva, Soraia Silva, Biagio Simonetti, Anjali Singal, Abhinav Singh, Balbir Bagicha Singh, Jasvinder A Singh, Md Shahjahan Siraj, Georgia Smith, Bogdan Socea, Anton Sokhan, Ranjan Solanki, Shipra Solanki, Hamidreza Soleimani, Sameh S M Soliman, Yonatan Solomon, Yimeng Song, Reed J D Sorensen, Michael Spartalis, Chandrashekhar T Sreeramareddy, Vijay Kumar Srivastava, Muhammad Haroon Stanikzai, Vladimir I Starodubov, Antonina V Starodubova, Simona Cătălina Stefan, Paschalis Steiropoulos, Mark A Stokes, Vetriselvan Subramaniyan, Muhammad Suleman, Rizwan Suliankatchi Abdulkader, Abida Sultana, Jing Sun, Chandan Kumar Swain, Bryan L Sykes, Lukasz Szarpak, Mindy D Szeto, Miklós Szócska, Payam Tabaee Damavandi, Rafael Tabarés-Seisdedos, Ozra Tabatabaei Malazy, Seyed-Amir Tabatabaeizadeh, Shima Tabatabai, Karen M Tabb, Mohammad Tabish, Moslem Taheri Soodejani, Jabeen Taiba, Ardeshir Tajbakhsh, Iman M Talaat, Ashis Talukder, Mircea Tampa, Jacques Lukenze Tamuzi, Ker-Kan Tan, Haosu Tang, Derbie Alemu DA Tareke, Mengistie Kassahun Tariku, Vivian Y Tat, Seyed Mohammad Tavangar, Mojtaba Teimoori, Mohamad-Hani Temsah, Reem Mohamad Hani Temsah, Masayuki Teramoto, Dufera Rikitu Terefa, Riki Tesler, Enoch Teye-Kwadjo, Ramna Thakur, Pugazhenthan Thangaraju, Kavumpurathu Raman Thankappan, Rekha Thapar, Samar Tharwat, Rasiah Thayakaran, Nihal Thomas, Ales Tichopad, Jansje Henny Vera Ticoalu, Tenaw Yimer Tiruye, Mariya Vladimirovna Titova, Marcello Tonelli, Marcos Roberto Tovani-Palone, Eugenio Traini, Jasmine T Tran, Nghia Minh Tran, Indang Trihandini, Samuel Joseph Tromans, Thien Tan Tri Tai Truyen, Aristidis Tsatsakis, Evangelia Eirini Tsermpini, Munkhtuya Tumurkhuu, Stefanos Tyrovolas, Sayed Mohammad Nazim Uddin, Aniefiok John Udoakang, Arit Udoh, Atta Ullah, Saeed Ullah, Sana Ullah, Srikanth Umakanthan, Chukwuma David Umeokonkwo, Brigid Unim, Bhaskaran Unnikrishnan, Era Upadhyay, Jibrin Sammani Usman, Marco Vacante, Seyed Mohammad Vahabi, Asokan Govindaraj Vaithinathan, Rohollah Valizadeh, Jef Van den Eynde, Elena Varavikova, Orsolya Varga, Priya Vart, Shoban Babu Varthya, Tommi Juhani Vasankari, Balachandar Vellingiri, Deneshkumar Venugopal, Nicholas Alexander Verghese, Madhur Verma, Massimiliano Veroux, Georgios-Ioannis Verras, Dominique Vervoort, Jorge Hugo Villafañe, Manish Vinayak, Francesco S Violante, Mukesh Vishwakarma, Sergey Konstantinovitch Vladimirov, Vasily Vlassov, Bay Vo, Simona Ruxandra Volovat, Theo Vos, Isidora S Vujcic, Hatem A Wafa, Yasir Waheed, Elias Bekele Wakwoya, Cong Wang, Denny Wang, Fang Wang, Shu Wang, Yanzhong Wang, Yuan-Pang Wang, Paul Ward, Emebet Gashaw Wassie, Stefanie Watson, Marcia R Weaver, Kosala Gayan Weerakoon, Daniel J Weiss, Katherine M Wells, Yi Feng Wen, Ronny Westerman, Taweewat Wiangkham, Dakshitha Praneeth Wickramasinghe, Nuwan Darshana Wickramasinghe, Peter Willeit, Yohannes Addisu Wondimagegene, Felicia Wu, Juan Xia, Hong Xiao, Gelin Xu, Suowen Xu, Xiaoyue Xu, Ali Yadollahpour, Shirin Yaghoobpoor, Tina Yaghoobpour, Sajad Yaghoubi, Zwanden Sule Yahaya, Danting Yang, Lin Yang, Yuichiro Yano, Habib Yaribeygi, Pengpeng Ye, Renjulal Yesodharan, Subah Abderehim Yesuf, Saber Yezli, Amanuel Yigezu, Paul Yip, Dong Keon Yon, Naohiro Yonemoto, Yuyi You, Mustafa Z Younis, Zabihollah Yousefi, Chuanhua Yu, Yong Yu, Chun-Wei Yuan, Nima Zafari, Fathiah Zakham, Nazar Zaki, Giulia Zamagni, Milad Zandi, Ghazal G Z Zandieh, Moein Zangiabadian, Mikhail Sergeevich Zastrozhin, Haijun Zhang, Meixin Zhang, Yunquan Zhang, Chenwen Zhong, Juexiao Zhou, Bin Zhu, Lei Zhu, Magdalena Zielińska, Zhiyong Zou, Samer H Zyoud, Christopher J L Murray, Amanda E Smith, and Stein Emil Vollset
Abstract: Background: Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. Methods: To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10-54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in
Published: 2024

5. HER2 Positive Breast Cancer Therapy - A Challenging and Continuously Moving Pathway – A Narrative Literature Review

Author: Laurentiu Simion, Iolanda Georgiana Augustin, Simona Ruxandra Volovat, Eliza Maria Froicu, Michael Schenker, Laura Mazilu, Cornelia Nitipir, Mirela Zivari, Constantin Volovat, Mihnea Alecu, Bogdan Tanase, Ciprian Cirimbei, Dan Cristian Luca, Dana Lucia Stanculeanu, and Daniela Luminita Zob
Subjects: General Medicine
Abstract: Background: Alteration of the expression of human epidermal growth factor receptor-2 gene as an oncogenic pathway in breast cancer was first explored in the 1980'. Since then, tremendous progress has been made in treating HER2-positive breast cancer. Methods: We performed a narrative type review of the existing literature using as a starting point the PubMed database, investigated by keywords, later the search being refined and the articles that we considered relevant were selected. The approach to the topic under discussion being variable in the various studies identified convinced us of the inappropriateness of a meta-analysis. As a secondary method of analysis, we evaluated the bibliography of each of the selected studies and from this we identified other publications of interest. Results: At present, there are three major classes of FDA-approved anti-HER2 agents: monoclonal antibodies (Trastuzumab, Pertuzumab and Margetuximab), TKIs (Lapatinib, Neratinib and Tucatinib) and antibody-drug conjugates (T-DM1 and T-DXd). The treatment of HER2+ breast cancer suffered some changes in the last few years. If in 2018, after progression under first-line treatment with taxane-trastuzumab/pertuzumab and second line with T-DM1 was a big challenge, being up to the oncologist to choose from lapatinib-capecitabine, trastuzumab-lapatinib or different chemotherapeutic agents, depending on toxicities and therapies available in the country, nowadays we have a new third- and fourth-line FDA approved standard, which consists of tucatinib-trastuzumab-capecitabine and trastuzumab-deruxtecan. Conclusion: Times are very exciting for HER2-positive disease. What differentiates novel therapies and if we do it better is both the question that we tried to give an answer to in this review of literature, but it remains at the same time a topic of discussion and a directive for analysis in the future, because we are only getting closer to an optimal version of treatment for HER2+ breast cancer, hoping that the introduction of new drugs and the establishment of new indications for old drugs will allow us to standardize the treatment of these patients.
Published: 2022
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6. Theoretical and Experimental Aspects of Sodium Diclofenac Salt Release from Chitosan-Based Hydrogels and Possible Applications

Author: Loredana Maria Himiniuc, Razvan Socolov, Irina Nica, Maricel Agop, Constantin Volovat, Lacramioara Ochiuz, Decebal Vasincu, Ana Maria Rotundu, Iulian Alin Rosu, Vlad Ghizdovat, and Simona Ruxandra Volovat
Subjects: Biomaterials, Polymers and Plastics, Organic Chemistry, Bioengineering, chitosan, sodium diclofenac salt, drug-delivery systems, nanomedicines, endometrial damage, intrauterine adhesions, periodontal disease, cancer, multifractality
Abstract: Two formulations based on diclofenac sodium salt encapsulated into a chitosan hydrogel were designed and prepared, and their drug release was investigated by combining in vitro results with mathematical modeling. To understand how the pattern of drug encapsulation impacted its release, the formulations were supramolecularly and morphologically characterized by scanning electron microscopy and polarized light microscopy, respectively. The mechanism of diclofenac release was assessed by using a mathematical model based on the multifractal theory of motion. Various drug-delivery mechanisms, such as Fickian- and non-Fickian-type diffusion, were shown to be fundamental mechanisms. More precisely, in a case of multifractal one-dimensional drug diffusion in a controlled-release polymer–drug system (i.e., in the form of a plane with a certain thickness), a solution that allowed the model’s validation through the obtained experimental data was established. The present research reveals possible new perspectives, for example in the prevention of intrauterine adhesions occurring through endometrial inflammation and other pathologies with an inflammatory mechanism background, such as periodontal diseases, and also therapeutic potential beyond the anti-inflammatory action of diclofenac as an anticancer agent, with a role in cell cycle regulation and apoptosis, using this type of drug-delivery system.
Published: 2023
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7. Immunotherapy-Related Publications in Colorectal Cancer: A Bibliometric Analysis

Author: Daniel Sur, Cristina Lungulescu, Irina-Ioana Puscariu, Simona Ruxandra Volovat, Madalina Preda, Elena Adriana Mateianu, and Cristian Virgil Lungulescu
Subjects: bibliometric, research, treatment, Leadership and Management, analysis, Health Policy, Health Informatics, colorectal cancer, Review, Health Information Management, Medicine, immunotherapy, publications
Abstract: Patients with microsatellite-instability-high (MSI-H) or mismatched repair-deficient colorectal cancer (CRC) appear to be responsive to checkpoint inhibitors. This study aimed to assess research trends in CRC immunotherapy. Publication patterns of articles covering immunotherapies in CRC in the Web of Science Core Collection database were retrospectively examined using VOS viewer software (version 1.6.16) prior to 25 May 2021. Ultimately, 3977 records were identified that were published between 1975 and 2021, which received a total of 128,681 citations (an average of 32.36 citations per item), with a noticeable rise in 2014. The majority of articles were published in the US (35.8%), China (17.7%), and Germany (9.4%). Publications mainly originated from the Institut National de la Santé Et De La Recherche Medicale Inserm, followed by the University of Texas System and Harvard University; however, Johns Hopkins University received the most citations (18,666 for 69 publications). The Journal of Clinical Oncology issued the most publications (n = 146), while the most referenced item (7724 citations) was published in the New England Journal of Medicine in 2012. The most common keywords were associated with tumors (expression and microsatellite instability) or immune system components (t-cells/dendritic cells). The findings demonstrate the scientific community’s interest in the MSI-H subtype of colorectal tumors and how immunotherapy may be employed more successfully to treat metastatic CRC.
Published: 2022

8. Use of Personalized Biomarkers in Metastatic Colorectal Cancer and the Impact of AI

Author: Simona-Ruxandra Volovat, Iolanda Augustin, Daniela Zob, Diana Boboc, Florin Amurariti, Constantin Volovat, Cipriana Stefanescu, Cati Raluca Stolniceanu, Manuela Ciocoiu, Eduard Alexandru Dumitras, Mihai Danciu, Delia Gabriela Ciobanu Apostol, Vasile Drug, Sinziana Al Shurbaji, Lucia-Georgiana Coca, Florin Leon, Adrian Iftene, and Paul-Corneliu Herghelegiu
Subjects: Cancer Research, Oncology
Abstract: Colorectal cancer is a major cause of cancer-related death worldwide and is correlated with genetic and epigenetic alterations in the colonic epithelium. Genetic changes play a major role in the pathophysiology of colorectal cancer through the development of gene mutations, but recent research has shown an important role for epigenetic alterations. In this review, we try to describe the current knowledge about epigenetic alterations, including DNA methylation and histone modifications, as well as the role of non-coding RNAs as epigenetic regulators and the prognostic and predictive biomarkers in metastatic colorectal disease that can allow increases in the effectiveness of treatments. Additionally, the intestinal microbiota’s composition can be an important biomarker for the response to strategies based on the immunotherapy of CRC. The identification of biomarkers in mCRC can be enhanced by developing artificial intelligence programs. We present the actual models that implement AI technology as a bridge connecting ncRNAs with tumors and conducted some experiments to improve the quality of the model used as well as the speed of the model that provides answers to users. In order to carry out this task, we implemented six algorithms: the naive Bayes classifier, the random forest classifier, the decision tree classifier, gradient boosted trees, logistic regression and SVM.
Published: 2022
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9. Landscape of Immunotherapy Options for Colorectal Cancer: Current Knowledge and Future Perspectives beyond Immune Checkpoint Blockade

Author: Alecsandra Gorzo, Diana Galos, Simona Ruxandra Volovat, Cristian Virgil Lungulescu, Claudia Burz, and Daniel Sur
Subjects: Space and Planetary Science, Paleontology, General Biochemistry, Genetics and Molecular Biology, Ecology, Evolution, Behavior and Systematics
Abstract: Colorectal cancer is the third most prevalent malignancy in Western countries and a major cause of death despite recent improvements in screening programs and early detection methods. In the last decade, a growing effort has been put into better understanding how the immune system interacts with cancer cells. Even if treatments with immune checkpoint inhibitors (anti-PD1, anti-PD-L1, anti-CTLA4) were proven effective for several cancer types, the benefit for colorectal cancer patients is still limited. However, a subset of patients with deficient mismatch repair (dMMR)/microsatellite-instability-high (MSI-H) metastatic colorectal cancer has been observed to have a prolonged benefit to immune checkpoint inhibitors. As a result, pembrolizumab and nivolumab +/− ipilimumab recently obtained the Food and Drug Administration approval. This review aims to highlight the body of knowledge on immunotherapy in the colorectal cancer setting, discussing the potential mechanisms of resistance and future strategies to extend its use.
Published: 2022
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10. Digging in real-word electronic database for assessing CDK 4/6 inhibitors adherence in breast cancer patients from Romania

Author: Adina Turcu-Stiolica, Ion Udristoiu, Mihaela-Simona Subtirelu, Victor Gheorman, Madalina Aldea, Elena Adriana Dumitrescu, Simona Ruxandra Volovat, Dragos Mircea Median, and Cristian Virgil Lungulescu
Subjects: palbociclib, abemaciclib, ribociclib, CDK 4/6 inhibitors, breast cancer, adherence, Therapeutics. Pharmacology, RM1-950
Abstract: Introduction: It is imperative for patients to respect the prescribed treatments to achieve the anticipated clinical outcomes, including the outpatients receiving oral anti-cancer drugs such as selective cyclin-dependent kinase 4/6 inhibitors (CDK 4/6i). With the introduction of three CDK 4/6i drugs in the Romanian pharmaceutical market in 2018, our study aimed to evaluate medication adherence and the influencing factors among patients undergoing treatment with palbociclib, ribociclib, or abemaciclib for advanced or metastatic breast cancer.Methods: Medication adherence was assessed using the Proportion of Days Covered (PDC) method, and Spearman correlation analysis was conducted to explore the relationships between adherence, age, gender, and follow-up duration.Results: The study enrolled 330 breast cancer patients, with an average follow-up period of 14.6 ± 12.5 months for palbociclib, 10.6 ± 7.1 months for ribociclib, and 8.6 ± 6.4 months for abemaciclib-treated patients. A small proportion of patients demonstrated non-adherence: 12.8% for palbociclib, 14.6% for ribociclib, and 14.7% for abemaciclib. Among patients receiving palbociclib, there was no significant correlation between adherence, age (rho = 0.07, p = 0.35), or gender (rho = −0.144, p = 0.054). However, a significant correlation was found with the duration of follow-up (rho = −0.304, p < 0.0001). Similar results were observed for patients receiving ribociclib or abemaciclib. Most patients received combination therapy with letrozole (46%) and exemestane (13%) for palbociclib, letrozole (48%) and fulvestrant (19%) for ribociclib, and fulvestrant (39%) and letrozole (27%) for abemaciclib,Discussion: High adherence rates were observed among patients treated with CDK 4/6i drugs, with no significant differences noted among the three drugs in this class. However, the collected patient data was limited, lacking information on adverse reactions that could potentially lead to treatment discontinuation, as determined by the oncologist’s decision not to prescribe. Consequently, a comprehensive understanding of all factors contributing to the low adherence levels is hindered.
Published: 2024
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11. A Holographic-Type Model in the Description of Polymer–Drug Delivery Processes

Author: Irina Nica, Constantin Volovat, Diana Boboc, Ovidiu Popa, Lacramioara Ochiuz, Decebal Vasincu, Vlad Ghizdovat, Maricel Agop, Cristian Constantin Volovat, Corina Lupascu Ursulescu, Cristian Virgil Lungulescu, and Simona Ruxandra Volovat
Subjects: drug delivery, fractal/multifractal curves, Schrödinger and Madelung scenarios, multifractal diffusion laws, nanomedicine, Medicine, Pharmacy and materia medica, RS1-441
Abstract: A unitary model of drug release dynamics is proposed, assuming that the polymer–drug system can be assimilated into a multifractal mathematical object. Then, we made a description of drug release dynamics that implies, via Scale Relativity Theory, the functionality of continuous and undifferentiable curves (fractal or multifractal curves), possibly leading to holographic-like behaviors. At such a conjuncture, the Schrödinger and Madelung multifractal scenarios become compatible: in the Schrödinger multifractal scenario, various modes of drug release can be “mimicked” (via period doubling, damped oscillations, modulated and “chaotic” regimes), while the Madelung multifractal scenario involves multifractal diffusion laws (Fickian and non-Fickian diffusions). In conclusion, we propose a unitary model for describing release dynamics in polymer–drug systems. In the model proposed, the polymer–drug dynamics can be described by employing the Scale Relativity Theory in the monofractal case or also in the multifractal one.
Published: 2024
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12. Theoretical—Experimental Approach of Chitosan/Quaternized Chitosan Nanofibers’ Behavior in Wound Exudate Media

Author: Bianca-Iustina Andreica, Alexandru Anisiei, Manuela-Maria Iftime, Razvan-Vasile Ababei, Lacramioara Ochiuz, Decebal Vasincu, Ingrid-Andrada Vasilache, Constantin Volovat, Diana Boboc, Vladimir Poroch, Lucian Eva, Maricel Agop, Dragos-Viorel Scripcariu, and Simona Ruxandra Volovat
Subjects: chitosan fibers, biomaterials, engineering nanomaterials, composite nanomaterials, enzymatic degradation, Pharmacy and materia medica, RS1-441
Abstract: This study aimed to investigate the behavior of chitosan/quaternized chitosan fibers in media mimicking wound exudates to understand their capacities as wound dressing. Fiber analysis of the fibers using dynamic vapor sorption proved their ability to adsorb moisture up to 60% and then to desorb it as a function of humidity, indicating their outstanding breathability. Dissolution analyses showed that quaternized chitosan leached from the fibers in water and PBS, whereas only small portions of chitosan were solubilized in water. In media containing lysozyme, the fibers degraded with a rate determined by their composition and pH, reaching a mass loss of up to 47% in media of physiologic pH. Notably, in media mimicking the wound exudate during healing, they adsorbed moisture even when their mass loss due to biodegradation was high, whereas they were completely degraded in the media of normal tissues, indicating bioabsorbable dressing capacities. A mathematical model was constructed, which characterized the degradation rate and morphology changes of chitosan/quaternized chitosan fibers through analyses of dynamics in scale space, using the Theory of Scale Relativity. The model was validated using experimental data, making it possible to generalize it to the degradation of other biopolymeric systems that address wound healing.
Published: 2023
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1. Machine Learning-Based Algorithms for Enhanced Prediction of Local Recurrence and Metastasis in Low Rectal Adenocarcinoma Using Imaging, Surgical, and Pathological Data

2. Predicting the Feasibility of Curative Resection in Low Rectal Cancer: Insights from a Prospective Observational Study on Preoperative Magnetic Resonance Imaging Accuracy

3. The Landscape of Nanovectors for Modulation in Cancer Immunotherapy

4. Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

5. HER2 Positive Breast Cancer Therapy - A Challenging and Continuously Moving Pathway – A Narrative Literature Review

6. Theoretical and Experimental Aspects of Sodium Diclofenac Salt Release from Chitosan-Based Hydrogels and Possible Applications

7. Immunotherapy-Related Publications in Colorectal Cancer: A Bibliometric Analysis

8. Use of Personalized Biomarkers in Metastatic Colorectal Cancer and the Impact of AI

9. Landscape of Immunotherapy Options for Colorectal Cancer: Current Knowledge and Future Perspectives beyond Immune Checkpoint Blockade

10. Digging in real-word electronic database for assessing CDK 4/6 inhibitors adherence in breast cancer patients from Romania

11. A Holographic-Type Model in the Description of Polymer–Drug Delivery Processes

12. Theoretical—Experimental Approach of Chitosan/Quaternized Chitosan Nanofibers’ Behavior in Wound Exudate Media

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