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2,059 results on '"Weinstein, S"'

2. TARGETED STIMULATION OF THE SENSORY AFFERENTS IMPROVES MOTONEURON FUNCTION IN HUMANS WITH A DEGENERATIVE MOTONEURON DISEASE

Author

Prat-Ortega, G., primary, Ensel, S., additional, Donadio, S., additional, Borda, L., additional, Boos, A., additional, Yadav, P., additional, Verma, N., additional, Ho, J., additional, Frazier-Kim, S., additional, Fields, D.P., additional, Fisher, LE, additional, Weber, DJ, additional, Duong, T., additional, Weinstein, S., additional, Eliasson, M., additional, Montes, J, additional, Chen, K.S., additional, Clemens, P, additional, Gerszten, P., additional, Mentis, G.Z., additional, Pirondini, E, additional, Friedlander, R. M., additional, and Capogrosso, M, additional

Published
2024
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4. 481 Integrating cystic fibrosis-cognitive behavioral therapy into teambased care for adults with cystic fibrosis: initiation of a randomized implementation trial in U.S. and Canadian cystic fibrosis centers

Author

Georgiopoulos, A., primary, Chaudhary, N., additional, Smith, B., additional, Sher, Y., additional, Bruce, A., additional, He, J., additional, Dvorak, M., additional, Weinstein, S., additional, Quittner, A., additional, and Friedman, D., additional

Published
2023
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5. 411 The Improving Life with Cystic Fibrosis multisite implementation trial for primary palliative care intervention in U.S. cystic fibrosis centers: initial uptake and feasibility data

Author

DiFiglia, S., primary, Georgiopoulos, A., additional, Portenoy, R., additional, Chaudhary, N., additional, Yonker, L., additional, Wang, J., additional, Walker, P., additional, Middour-Oxler, B., additional, Linnemann, R., additional, Kier, C., additional, Friedman, D., additional, Diener, B., additional, Berdella, M., additional, Weinstein, S., additional, Trentacoste, J., additional, Stables-Carney, T., additional, Roncone, S., additional, Pollinger, S., additional, Plachta, A., additional, Henthorne, K., additional, Frantzen, T., additional, Esposito, C., additional, Buehler, B., additional, and Dhingra, L., additional

Published
2023
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8. Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry

Author

Darst, BF, Shen, J, Madduri, RK, Rodriguez, AA, Xiao, Y, Sheng, X, Saunders, EJ, Dadaev, T, Brook, MN, Hoffmann, TJ, Muir, K, Wan, P, Le Marchand, L, Wilkens, L, Wang, Y, Schleutker, J, MacInnis, RJ, Cybulski, C, Neal, DE, Nordestgaard, BG, Nielsen, SF, Batra, J, Clements, JA, Gronberg, H, Pashayan, N, Travis, RC, Park, JY, Albanes, D, Weinstein, S, Mucci, LA, Hunter, DJ, Penney, KL, Tangen, CM, Hamilton, RJ, Parent, M-E, Stanford, JL, Koutros, S, Wolk, A, Sorensen, KD, Blot, WJ, Yeboah, ED, Mensah, JE, Lu, Y-J, Schaid, DJ, Thibodeau, SN, West, CM, Maier, C, Kibel, AS, Cancel-Tassin, G, Menegaux, F, John, EM, Grindedal, EM, Khaw, K-T, Ingles, SA, Vega, A, Rosenstein, BS, Teixeira, MR, Kogevinas, M, Cannon-Albright, L, Huff, C, Multigner, L, Kaneva, R, Leach, RJ, Brenner, H, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Neuhausen, SL, Isaacs, WB, Nemesure, B, Hennis, AJ, Carpten, J, Pandha, H, De Ruyck, K, Xu, J, Razack, A, Teo, S-H, Newcomb, LF, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Castelao, JE, Townsend, PA, Crawford, DC, Petrovics, G, Casey, G, Roobol, MJ, Hu, JF, Berndt, SI, van den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Witte, JS, Eeles, RA, Kote-Jarai, Z, Watya, S, Gaziano, JM, Justice, AC, Conti, DV, Haiman, CA, Darst, BF, Shen, J, Madduri, RK, Rodriguez, AA, Xiao, Y, Sheng, X, Saunders, EJ, Dadaev, T, Brook, MN, Hoffmann, TJ, Muir, K, Wan, P, Le Marchand, L, Wilkens, L, Wang, Y, Schleutker, J, MacInnis, RJ, Cybulski, C, Neal, DE, Nordestgaard, BG, Nielsen, SF, Batra, J, Clements, JA, Gronberg, H, Pashayan, N, Travis, RC, Park, JY, Albanes, D, Weinstein, S, Mucci, LA, Hunter, DJ, Penney, KL, Tangen, CM, Hamilton, RJ, Parent, M-E, Stanford, JL, Koutros, S, Wolk, A, Sorensen, KD, Blot, WJ, Yeboah, ED, Mensah, JE, Lu, Y-J, Schaid, DJ, Thibodeau, SN, West, CM, Maier, C, Kibel, AS, Cancel-Tassin, G, Menegaux, F, John, EM, Grindedal, EM, Khaw, K-T, Ingles, SA, Vega, A, Rosenstein, BS, Teixeira, MR, Kogevinas, M, Cannon-Albright, L, Huff, C, Multigner, L, Kaneva, R, Leach, RJ, Brenner, H, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Neuhausen, SL, Isaacs, WB, Nemesure, B, Hennis, AJ, Carpten, J, Pandha, H, De Ruyck, K, Xu, J, Razack, A, Teo, S-H, Newcomb, LF, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Castelao, JE, Townsend, PA, Crawford, DC, Petrovics, G, Casey, G, Roobol, MJ, Hu, JF, Berndt, SI, van den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Witte, JS, Eeles, RA, Kote-Jarai, Z, Watya, S, Gaziano, JM, Justice, AC, Conti, DV, and Haiman, CA

Abstract

Genome-wide polygenic risk scores (GW-PRSs) have been reported to have better predictive ability than PRSs based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer-risk variants from multi-ancestry GWASs and fine-mapping studies (PRS269). GW-PRS models were trained with a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls that we previously used to develop the multi-ancestry PRS269. Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California Uganda Study and 8,046 cases and 191,825 controls of European ancestry from the UK Biobank and further validated in 13,643 cases and 210,214 controls of European ancestry and 6,353 cases and 53,362 controls of African ancestry from the Million Veteran Program. In the testing data, the best performing GW-PRS approach had AUCs of 0.656 (95% CI = 0.635-0.677) in African and 0.844 (95% CI = 0.840-0.848) in European ancestry men and corresponding prostate cancer ORs of 1.83 (95% CI = 1.67-2.00) and 2.19 (95% CI = 2.14-2.25), respectively, for each SD unit increase in the GW-PRS. Compared to the GW-PRS, in African and European ancestry men, the PRS269 had larger or similar AUCs (AUC = 0.679, 95% CI = 0.659-0.700 and AUC = 0.845, 95% CI = 0.841-0.849, respectively) and comparable prostate cancer ORs (OR = 2.05, 95% CI = 1.87-2.26 and OR = 2.21, 95% CI = 2.16-2.26, respectively). Findings were similar in the validation studies. This investigation suggests that current GW-PRS approaches may not improve the ability to predict prostate cancer risk compared to the PRS269 developed from multi-ancestry GWASs and fine-mapping.

Published
2023

9. The blood proteome of imminent lung cancer diagnosis

Author

Albanes, D, Alcala, K, Alcala, N, Amos, C, Arslan, AA, Bassett, JK, Brennan, P, Cai, Q, Chen, C, Feng, X, Freedman, ND, Guida, F, Hung, RJ, Hveem, K, Johansson, M, Koh, W-P, Langhammer, A, Milne, RL, Muller, D, Onwuka, J, Sorgjerd, EP, Robbins, HA, Sesso, HD, Severi, G, Shu, X-O, Sieri, S, Smith-Byrne, K, Stevens, V, Tinker, L, Tjonneland, A, Visvanathan, K, Wang, Y, Wang, R, Weinstein, S, Yuan, J-M, Zahed, H, Zhang, X, Zheng, W, Albanes, D, Alcala, K, Alcala, N, Amos, C, Arslan, AA, Bassett, JK, Brennan, P, Cai, Q, Chen, C, Feng, X, Freedman, ND, Guida, F, Hung, RJ, Hveem, K, Johansson, M, Koh, W-P, Langhammer, A, Milne, RL, Muller, D, Onwuka, J, Sorgjerd, EP, Robbins, HA, Sesso, HD, Severi, G, Shu, X-O, Sieri, S, Smith-Byrne, K, Stevens, V, Tinker, L, Tjonneland, A, Visvanathan, K, Wang, Y, Wang, R, Weinstein, S, Yuan, J-M, Zahed, H, Zhang, X, and Zheng, W

Abstract

Identification of risk biomarkers may enhance early detection of smoking-related lung cancer. We measured between 392 and 1,162 proteins in blood samples drawn at most three years before diagnosis in 731 smoking-matched case-control sets nested within six prospective cohorts from the US, Europe, Singapore, and Australia. We identify 36 proteins with independently reproducible associations with risk of imminent lung cancer diagnosis (all p < 4 × 10-5). These include a few markers (e.g. CA-125/MUC-16 and CEACAM5/CEA) that have previously been reported in studies using pre-diagnostic blood samples for lung cancer. The 36 proteins include several growth factors (e.g. HGF, IGFBP-1, IGFP-2), tumor necrosis factor-receptors (e.g. TNFRSF6B, TNFRSF13B), and chemokines and cytokines (e.g. CXL17, GDF-15, SCF). The odds ratio per standard deviation range from 1.31 for IGFBP-1 (95% CI: 1.17-1.47) to 2.43 for CEACAM5 (95% CI: 2.04-2.89). We map the 36 proteins to the hallmarks of cancer and find that activation of invasion and metastasis, proliferative signaling, tumor-promoting inflammation, and angiogenesis are most frequently implicated.

Published
2023

10. Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools

Author

Feng, X, Wu, WY-Y, Onwuka, JU, Haider, Z, Alcala, K, Smith-Byrne, K, Zahed, H, Guida, F, Wang, R, Bassett, JK, Stevens, V, Wang, Y, Weinstein, S, Freedman, ND, Chen, C, Tinker, L, Nost, TH, Koh, W-P, Muller, D, Colorado-Yohar, SM, Tumino, R, Hung, RJ, Amos, C, Lin, X, Zhang, X, Arslan, AA, Sanchez, M-J, Sorgjerd, EP, Severi, G, Hveem, K, Brennan, P, Langhammer, A, Milne, RL, Yuan, J-M, Melin, B, Johansson, M, Robbins, HA, Feng, X, Wu, WY-Y, Onwuka, JU, Haider, Z, Alcala, K, Smith-Byrne, K, Zahed, H, Guida, F, Wang, R, Bassett, JK, Stevens, V, Wang, Y, Weinstein, S, Freedman, ND, Chen, C, Tinker, L, Nost, TH, Koh, W-P, Muller, D, Colorado-Yohar, SM, Tumino, R, Hung, RJ, Amos, C, Lin, X, Zhang, X, Arslan, AA, Sanchez, M-J, Sorgjerd, EP, Severi, G, Hveem, K, Brennan, P, Langhammer, A, Milne, RL, Yuan, J-M, Melin, B, Johansson, M, and Robbins, HA

Abstract

BACKGROUND: We sought to develop a proteomics-based risk model for lung cancer and evaluate its risk-discriminatory performance in comparison with a smoking-based risk model (PLCOm2012) and a commercially available autoantibody biomarker test. METHODS: We designed a case-control study nested in 6 prospective cohorts, including 624 lung cancer participants who donated blood samples at most 3 years prior to lung cancer diagnosis and 624 smoking-matched cancer free participants who were assayed for 302 proteins. We used 470 case-control pairs from 4 cohorts to select proteins and train a protein-based risk model. We subsequently used 154 case-control pairs from 2 cohorts to compare the risk-discriminatory performance of the protein-based model with that of the Early Cancer Detection Test (EarlyCDT)-Lung and the PLCOm2012 model using receiver operating characteristics analysis and by estimating models' sensitivity. All tests were 2-sided. RESULTS: The area under the curve for the protein-based risk model in the validation sample was 0.75 (95% confidence interval [CI] = 0.70 to 0.81) compared with 0.64 (95% CI = 0.57 to 0.70) for the PLCOm2012 model (Pdifference = .001). The EarlyCDT-Lung had a sensitivity of 14% (95% CI = 8.2% to 19%) and a specificity of 86% (95% CI = 81% to 92%) for incident lung cancer. At the same specificity of 86%, the sensitivity for the protein-based risk model was estimated at 49% (95% CI = 41% to 57%) and 30% (95% CI = 23% to 37%) for the PLCOm2012 model. CONCLUSION: Circulating proteins showed promise in predicting incident lung cancer and outperformed a standard risk prediction model and the commercialized EarlyCDT-Lung.

Published
2023

11. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Author

Fernandez-Rozadilla, C, Timofeeva, M, Chen, Z, Law, P, Thomas, M, Bien, S, Diez-Obrero, V, Li, L, Fernandez-Tajes, J, Palles, C, Sherwood, K, Harris, S, Svinti, V, McDonnell, K, Farrington, S, Studd, J, Vaughan-Shaw, P, Shu, X-O, Long, J, Cai, Q, Guo, X, Lu, Y, Scacheri, P, Huyghe, J, Harrison, T, Shibata, D, Haiman, C, Devall, M, Schumacher, F, Melas, M, Rennert, G, Obon-Santacana, M, Martin-Sanchez, V, Moratalla-Navarro, F, Oh, JH, Kim, J, Jee, SH, Jung, KJ, Kweon, S-S, Shin, M-H, Shin, A, Ahn, Y-O, Kim, D-H, Oze, I, Wen, W, Matsuo, K, Matsuda, K, Tanikawa, C, Ren, Z, Gao, Y-T, Jia, W-H, Potter, J, Jenkins, M, Win, AK, Pai, R, Figueiredo, J, Haile, R, Gallinger, S, Woods, M, Newcomb, P, Cheadle, J, Kaplan, R, Maughan, T, Kerr, R, Kerr, D, Kirac, I, Boehm, J, Mecklin, L-P, Jousilahti, P, Knekt, P, Aaltonen, L, Rissanen, H, Pukkala, E, Eriksson, J, Cajuso, T, Hanninen, U, Kondelin, J, Palin, K, Tanskanen, T, Renkonen-Sinisalo, L, Zanke, B, Mannisto, S, Albanes, D, Weinstein, S, Ruiz-Narvaez, E, Palmer, J, Buchanan, D, Platz, E, Visvanathan, K, Ulrich, C, Siegel, E, Brezina, S, Gsur, A, Campbell, P, Chang-Claude, J, Hoffmeister, M, Brenner, H, Slattery, M, Tsilidis, K, Schulze, M, Gunter, M, Murphy, N, Castells, A, Castellvi-Bel, S, Moreira, L, Arndt, V, Shcherbina, A, Stern, M, Pardamean, B, Bishop, T, Giles, G, Southey, M, Idos, G, Abu-Ful, Z, Greenson, J, Shulman, K, Lejbkowicz, F, Offit, K, Su, Y-R, Steinfelder, R, Keku, T, van Guelpen, B, Hudson, T, Hampel, H, Pearlman, R, Berndt, S, Hayes, R, Martinez, ME, Thomas, S, Corley, D, Pharoah, P, Larsson, S, Yen, Y, Lenz, H-J, White, E, Doheny, K, Pugh, E, Shelford, T, Chan, A, Cruz-Correa, M, Lindblom, A, Joshi, A, Schafmayer, C, Kundaje, A, Nickerson, D, Schoen, R, Hampe, J, Stadler, Z, Vodicka, P, Vodickova, L, Vymetalkova, V, Papadopoulos, N, Edlund, C, Gauderman, W, Thomas, D, Toland, A, Markowitz, S, Kim, A, Gruber, S, van Duijnhoven, F, Feskens, E, Sakoda, L, Gago-Dominguez, M, Wolk, A, Naccarati, A, Pardini, B, FitzGerald, L, Lee, SC, Ogino, S, Kooperberg, C, Li, C, Lin, Y, Prentice, R, Qu, C, Bezieau, S, Tangen, C, Mardis, E, Yamaji, T, Sawada, N, Iwasaki, M, Le Marchand, L, Wu, A, McNeil, C, Coetzee, G, Hayward, C, Deary, I, Theodoratou, E, Reid, S, Walker, M, Ooi, LY, Moreno, V, Casey, G, Tomlinson, I, Zheng, W, Dunlop, M, Houlston, R, Peters, U, Fernandez-Rozadilla, C, Timofeeva, M, Chen, Z, Law, P, Thomas, M, Bien, S, Diez-Obrero, V, Li, L, Fernandez-Tajes, J, Palles, C, Sherwood, K, Harris, S, Svinti, V, McDonnell, K, Farrington, S, Studd, J, Vaughan-Shaw, P, Shu, X-O, Long, J, Cai, Q, Guo, X, Lu, Y, Scacheri, P, Huyghe, J, Harrison, T, Shibata, D, Haiman, C, Devall, M, Schumacher, F, Melas, M, Rennert, G, Obon-Santacana, M, Martin-Sanchez, V, Moratalla-Navarro, F, Oh, JH, Kim, J, Jee, SH, Jung, KJ, Kweon, S-S, Shin, M-H, Shin, A, Ahn, Y-O, Kim, D-H, Oze, I, Wen, W, Matsuo, K, Matsuda, K, Tanikawa, C, Ren, Z, Gao, Y-T, Jia, W-H, Potter, J, Jenkins, M, Win, AK, Pai, R, Figueiredo, J, Haile, R, Gallinger, S, Woods, M, Newcomb, P, Cheadle, J, Kaplan, R, Maughan, T, Kerr, R, Kerr, D, Kirac, I, Boehm, J, Mecklin, L-P, Jousilahti, P, Knekt, P, Aaltonen, L, Rissanen, H, Pukkala, E, Eriksson, J, Cajuso, T, Hanninen, U, Kondelin, J, Palin, K, Tanskanen, T, Renkonen-Sinisalo, L, Zanke, B, Mannisto, S, Albanes, D, Weinstein, S, Ruiz-Narvaez, E, Palmer, J, Buchanan, D, Platz, E, Visvanathan, K, Ulrich, C, Siegel, E, Brezina, S, Gsur, A, Campbell, P, Chang-Claude, J, Hoffmeister, M, Brenner, H, Slattery, M, Tsilidis, K, Schulze, M, Gunter, M, Murphy, N, Castells, A, Castellvi-Bel, S, Moreira, L, Arndt, V, Shcherbina, A, Stern, M, Pardamean, B, Bishop, T, Giles, G, Southey, M, Idos, G, Abu-Ful, Z, Greenson, J, Shulman, K, Lejbkowicz, F, Offit, K, Su, Y-R, Steinfelder, R, Keku, T, van Guelpen, B, Hudson, T, Hampel, H, Pearlman, R, Berndt, S, Hayes, R, Martinez, ME, Thomas, S, Corley, D, Pharoah, P, Larsson, S, Yen, Y, Lenz, H-J, White, E, Doheny, K, Pugh, E, Shelford, T, Chan, A, Cruz-Correa, M, Lindblom, A, Joshi, A, Schafmayer, C, Kundaje, A, Nickerson, D, Schoen, R, Hampe, J, Stadler, Z, Vodicka, P, Vodickova, L, Vymetalkova, V, Papadopoulos, N, Edlund, C, Gauderman, W, Thomas, D, Toland, A, Markowitz, S, Kim, A, Gruber, S, van Duijnhoven, F, Feskens, E, Sakoda, L, Gago-Dominguez, M, Wolk, A, Naccarati, A, Pardini, B, FitzGerald, L, Lee, SC, Ogino, S, Kooperberg, C, Li, C, Lin, Y, Prentice, R, Qu, C, Bezieau, S, Tangen, C, Mardis, E, Yamaji, T, Sawada, N, Iwasaki, M, Le Marchand, L, Wu, A, McNeil, C, Coetzee, G, Hayward, C, Deary, I, Theodoratou, E, Reid, S, Walker, M, Ooi, LY, Moreno, V, Casey, G, Tomlinson, I, Zheng, W, Dunlop, M, Houlston, R, and Peters, U

Abstract

Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector genes most probably act outside the colonic mucosa. Our findings provide insights into colorectal oncogenesis and highlight potential targets across tissues for new CRC treatment and chemoprevention strategies.

Published
2023

12. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants.

Author

Wang, A, Shen, J, Rodriguez, AA, Saunders, EJ, Chen, F, Janivara, R, Darst, BF, Sheng, X, Xu, Y, Chou, AJ, Benlloch, S, Dadaev, T, Brook, MN, Plym, A, Sahimi, A, Hoffman, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Laisk, T, Figuerêdo, J, Muir, K, Ito, S, Liu, X, Biobank Japan Project, Uchio, Y, Kubo, M, Kamatani, Y, Lophatananon, A, Wan, P, Andrews, C, Lori, A, Choudhury, PP, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Rentsch, CT, Cho, K, Mcmahon, BH, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, A, Stroomberg, HV, Batra, J, Chambers, S, Horvath, L, Clements, JA, Tilly, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordstrom, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, S, Cook, MB, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Koutros, S, Beane Freeman, LE, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Butler, EN, Mohler, JL, Taylor, JA, Kogevinas, M, Dierssen-Sotos, T, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Pilie, P, Yu, Y, Bohlender, RJ, Gu, J, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Brenner, H, Chen, X, Holleczek, B, Schöttker, B, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, CM, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Abraham, A, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, J, Petrovics, G, Casey, G, Wang, Y, Tettey, Y, Lachance, J, Tang, W, Biritwum, RB, Adjei, AA, Tay, E, Truelove, A, Niwa, S, Yamoah, K, Govindasami, K, Chokkalingam, AP, Keaton, JM, Hellwege, JN, Clark, PE, Jalloh, M, Gueye, SM, Niang, L, Ogunbiyi, O, Shittu, O, Amodu, O, Adebiyi, AO, Aisuodionoe-Shadrach, OI, Ajibola, HO, Jamda, MA, Oluwole, OP, Nwegbu, M, Adusei, B, Mante, S, Darkwa-Abrahams, A, Diop, H, Gundell, SM, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Kachuri, L, Varma, R, McKean-Cowdin, R, Torres, M, Preuss, MH, Loos, RJF, Zawistowski, M, Zöllner, S, Lu, Z, Van Den Eeden, SK, Easton, DF, Ambs, S, Edwards, TL, Mägi, R, Rebbeck, TR, Fritsche, L, Chanock, SJ, Berndt, SI, Wiklund, F, Nakagawa, H, Witte, JS, Gaziano, JM, Justice, AC, Mancuso, N, Terao, C, Eeles, RA, Kote-Jarai, Z, Madduri, RK, Conti, DV, Haiman, CA, Wang, A, Shen, J, Rodriguez, AA, Saunders, EJ, Chen, F, Janivara, R, Darst, BF, Sheng, X, Xu, Y, Chou, AJ, Benlloch, S, Dadaev, T, Brook, MN, Plym, A, Sahimi, A, Hoffman, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Laisk, T, Figuerêdo, J, Muir, K, Ito, S, Liu, X, Biobank Japan Project, Uchio, Y, Kubo, M, Kamatani, Y, Lophatananon, A, Wan, P, Andrews, C, Lori, A, Choudhury, PP, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Rentsch, CT, Cho, K, Mcmahon, BH, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, A, Stroomberg, HV, Batra, J, Chambers, S, Horvath, L, Clements, JA, Tilly, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordstrom, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, S, Cook, MB, Mucci, LA, Giovannucci, E, Lindstrom, S, Kraft, P, Hunter, DJ, Penney, KL, Turman, C, Tangen, CM, Goodman, PJ, Thompson, IM, Hamilton, RJ, Fleshner, NE, Finelli, A, Parent, M-É, Stanford, JL, Ostrander, EA, Koutros, S, Beane Freeman, LE, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Butler, EN, Mohler, JL, Taylor, JA, Kogevinas, M, Dierssen-Sotos, T, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Pilie, P, Yu, Y, Bohlender, RJ, Gu, J, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Brenner, H, Chen, X, Holleczek, B, Schöttker, B, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, CM, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, Abraham, A, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, J, Petrovics, G, Casey, G, Wang, Y, Tettey, Y, Lachance, J, Tang, W, Biritwum, RB, Adjei, AA, Tay, E, Truelove, A, Niwa, S, Yamoah, K, Govindasami, K, Chokkalingam, AP, Keaton, JM, Hellwege, JN, Clark, PE, Jalloh, M, Gueye, SM, Niang, L, Ogunbiyi, O, Shittu, O, Amodu, O, Adebiyi, AO, Aisuodionoe-Shadrach, OI, Ajibola, HO, Jamda, MA, Oluwole, OP, Nwegbu, M, Adusei, B, Mante, S, Darkwa-Abrahams, A, Diop, H, Gundell, SM, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Kachuri, L, Varma, R, McKean-Cowdin, R, Torres, M, Preuss, MH, Loos, RJF, Zawistowski, M, Zöllner, S, Lu, Z, Van Den Eeden, SK, Easton, DF, Ambs, S, Edwards, TL, Mägi, R, Rebbeck, TR, Fritsche, L, Chanock, SJ, Berndt, SI, Wiklund, F, Nakagawa, H, Witte, JS, Gaziano, JM, Justice, AC, Mancuso, N, Terao, C, Eeles, RA, Kote-Jarai, Z, Madduri, RK, Conti, DV, and Haiman, CA

Abstract

The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.

Published
2023

18. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer

Author

Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2

Subjects
0301 basic medicine, Oncology, medicine.medical_specialty, Skin Neoplasms, Epidemiology, Chronic lymphocytic leukemia, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Polygenic risk score, immune system diseases, Risk Factors, Polymorphism (computer science), hemic and lymphatic diseases, Internal medicine, Pleiotropism, Genetics, medicine, Genetic predisposition, Humans, Basal cell carcinoma, neoplasms, Pleiotropy, business.industry, General Medicine, Odds ratio, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, NMSC, 030104 developmental biology, Carcinoma, Basal Cell, 030220 oncology & carcinogenesis, Carcinoma, Squamous Cell, Skin cancer, business, CLL
Abstract

Background Epidemiological studies have demonstrated a positive association between chronic lymphocytic leukaemia (CLL) and non-melanoma skin cancer (NMSC). We hypothesized that shared genetic risk factors between CLL and NMSC could contribute to the association observed between these diseases. Methods We examined the association between (i) established NMSC susceptibility loci and CLL risk in a meta-analysis including 3100 CLL cases and 7667 controls and (ii) established CLL loci and NMSC risk in a study of 4242 basal cell carcinoma (BCC) cases, 825 squamous cell carcinoma (SCC) cases and 12802 controls. Polygenic risk scores (PRS) for CLL, BCC and SCC were constructed using established loci. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results Higher CLL-PRS was associated with increased BCC risk (OR4th-quartile-vs-1st-quartile = 1.13, 95% CI: 1.02–1.24, Ptrend = 0.009), even after removing the shared 6p25.3 locus. No association was observed with BCC-PRS and CLL risk (Ptrend = 0.68). These findings support a contributory role for CLL in BCC risk, but not for BCC in CLL risk. Increased CLL risk was observed with higher SCC-PRS (OR4th-quartile-vs-1st-quartile = 1.22, 95% CI: 1.08–1.38, Ptrend = 1.36 × 10–5), which was driven by shared genetic susceptibility at the 6p25.3 locus. Conclusion These findings highlight the role of pleiotropy regarding the pathogenesis of CLL and NMSC and shows that a single pleiotropic locus, 6p25.3, drives the observed association between genetic susceptibility to SCC and increased CLL risk. The study also provides evidence that genetic susceptibility for CLL increases BCC risk.

Published
2021
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21. P1203: THE OPTIMIZED HLH INFLAMMATORY (OHI) INDEX IDENTIFIES LYMPHOMA PATIENTS WITH UNEXPECTEDLY HIGH MORTALITY NOT RELATED TO DISEASE PROGRESSION

Author

Zoref-Lorenz, A., primary, Murakami, J., additional, Hofstetter, L., additional, Abadi, U., additional, Iyer, S., additional, Mohamed, S., additional, Miller, P. G., additional, Natour, A. E. H., additional, Weinstein, S., additional, Yacobovich, J., additional, Izraeli, S., additional, Nikiforow, S., additional, Ebert, B., additional, Gurion, R., additional, Cohen, I., additional, Pasvolsky, O., additional, Raanani, P., additional, Nagler, A., additional, Berliner, N., additional, Daver, N., additional, Ellis, M., additional, and Jordan, M., additional

Published
2022
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22. Association of antiparietal cell and anti-intrinsic factor antibodies with risk of gastric cancer

Author

Song, M. (Minkyo), Camargo, M. C. (M. Constanza), Katki, H. A. (Hormuzd A.), Weinstein, S. J. (Stephanie J.), Männistö, S. (Satu), Albanes, D. (Demetrius), Surcel, H.-M. (Heljä-Marja), Rabkin, C. S. (Charles S.), Song, M. (Minkyo), Camargo, M. C. (M. Constanza), Katki, H. A. (Hormuzd A.), Weinstein, S. J. (Stephanie J.), Männistö, S. (Satu), Albanes, D. (Demetrius), Surcel, H.-M. (Heljä-Marja), and Rabkin, C. S. (Charles S.)

Abstract

Importance: Autoimmune gastritis is an alternative cause of gastric carcinogenesis. This cause may be gaining importance with declining prevalence of chronic Helicobacter pylori infection. Objectives: To determine the association of prediagnostic autoantibodies to gastric mucosa with gastric cancer (GC) risk. Design, Setting, and Participants: This cohort study used nested GC case-control analyses within separate Finnish cohorts of women of reproductive age (Finnish Maternity Cohort [FMC]; born 1938‐1989) and older men (Alpha-Tocopherol, Beta-Carotene Cancer Prevention [ATBC] Study; born 1916‐1939). There were 529 and 457 matched pairs from the FMC and ATBC Study, respectively, with mean participant ages of 30.5 and 57.5 years and medians of 17 and 11 years from baseline to cancer diagnosis. Data analyses were performed between August 2019 and November 2020. Exposures: Antiparietal cell antibodies (APCAs), anti-intrinsic factor antibodies, and anti–H pylori antibodies were measured in baseline serum using immunoassays. Main Outcomes and Measures: Autoantibody associations were estimated by odds ratios (ORs) and 95% CIs. Results: Of the 529 control participants in the FMC and 457 control participants in the ATBC Study, 53 (10%) women and 35 (7.7%) men were APCA seropositive, respectively, whereas 146 (28%) women and 329 (72%) men were H pylori seropositive. In the FMC, APCA seropositivity was statistically significantly associated with GC risk among H pylori-seronegative women (OR, 5.52; 95% CI, 3.16‐9.64) but not H pylori-seropositive women (OR, 1.29; 95% CI, 0.64‐2.60; P for interaction = .002). The APCA association with H pylori seronegativity was strongest for tumors in the fundus and corpus (OR, 24.84; 95% CI, 8.49‐72.72). In the ATBC Study, APCA seropositivity was not associated with GC among either H pylori–seronegative men (OR, 0.99; 95% CI, 0.32‐3.04) or H pylori–seropositive men (OR, 1.06; 95% CI, 0.60‐1.88). In both cohorts, anti-intrinsic factor

Published
2022

23. Contributors

Author

Ahmadi, S., primary, Barry, J., additional, Berger, L.T., additional, Bertoni, H.L., additional, Brandt-Pearce, M., additional, Dobre, O.A., additional, Erez, M., additional, Eryilmaz, A., additional, Fanaei, M., additional, Gatherer, A., additional, Gorshe, S., additional, Hossain, E., additional, Lampe, L., additional, Thilina, K.G. Madushan, additional, Miller, S.L., additional, Moeneclaey, M., additional, Noels, N., additional, Noshad, M., additional, Papadias, C.B., additional, Rice, M., additional, Ström, E.G., additional, Torrico, S.A., additional, Valenti, M.C., additional, Weinstein, S., additional, Wilson, S.K., additional, Wilson, S.G., additional, Wymeersch, H., additional, Xie, T., additional, and Zhu, H., additional

Published
2016
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36. Transrectal ultrasound guided prostate needle biopsy is still a standard of care for prostate cancer diagnosis – A multicentre Australian analysis of infection rates

Author

Parkin, C.J., primary, Louie-Johnsun, M.W., additional, Chapman, S., additional, Shepherd, A., additional, Mccredie, S., additional, Kam, J., additional, Joshi, N., additional, Gikenye, N., additional, Grills, R., additional, Smilovic, T., additional, Manivasagam, A., additional, and Weinstein, S., additional

Published
2021
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37. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer

Author

IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., Berndt, S.I., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Besson, C., Moore, A., Vajdic, C.M., de Sanjose, S., Camp, N.J., Smedby, K.E., Shanafelt, T.D., Morton, L.M., Brewer, J.D., Zablotska, L., Chung, C.C., Teras, L.R., Kleinstern, G., Monnereau, A., Kane, E., Benavente, Y., Purdue, M.P., Birmann, B.M., Link, B.K., Vermeulen, R.C.H., Spinelli, J.J., Albanes, D., Arslan, A.A., Miligi, L., Molina, T.J., Skibola, C.F., Cozen, W., Staines, A., Caporaso, N.E., Giles, G.G., Southey, M.C., Milne, R.L., Tinker, L.F., Severson, R.K., Melbye, M., Adami, H.-O., Glimelius, B., Bracci, P.M., Conde, L., Glenn, M., Curtin, K., Lan, Q., Zheng, T., Weinstein, S., Brooks-Wilson, A.R., Diver, W.R., Clavel, J., Vineis, P., Weiderpass, E., Becker, N., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Weinberg, J.B., Sanna, S., Gambelunghe, A., Jackson, R.D., Hjalgrim, H., North, K.E., McKay, J., Offit, K., Vijai, J., Nieters, A., Engels, E.A., Chanock, S.J., Rothman, N., Cerhan, J.R., Slager, S.L., Han, J., and Berndt, S.I.

Published
2021

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