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1. 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

2. 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

3. Genetic factors associated with prostate cancer conversion from active surveillance to treatment

Author: Jiang, Y, Meyers, TJ, Emeka, AA, Cooley, LF, Cooper, PR, Lancki, N, Helenowski, I, Kachuri, L, Lin, DW, Stanford, JL, Newcomb, LF, Kolb, S, Finelli, A, Fleshner, NE, Komisarenko, M, Eastham, JA, Ehdaie, B, Benfante, N, Logothetis, CJ, Gregg, JR, Perez, CA, Garza, S, Kim, J, Marks, LS, Delfin, M, Barsa, D, Vesprini, D, Klotz, LH, Loblaw, A, Mamedov, A, Goldenberg, SL, Higano, CS, Spillane, M, Wu, E, Carter, HB, Pavlovich, CP, Mamawala, M, Landis, T, Carroll, PR, Chan, JM, Cooperberg, MR, Cowan, JE, Morgan, TM, Siddiqui, J, Martin, R, Klein, EA, Brittain, K, Gotwald, P, Barocas, DA, Dallmer, JR, Gordetsky, JB, Steele, P, Kundu, SD, Stockdale, J, Roobol, MJ, Venderbos, LDF, Sanda, MG, Arnold, R, Patil, D, Evans, CP, Dall'Era, MA, Vij, A, Costello, AJ, Chow, K, Corcoran, NM, Rais-Bahrami, S, Phares, C, Scherr, DS, Flynn, T, Karnes, RJ, Koch, M, Dhondt, CR, Nelson, JB, McBride, D, Cookson, MS, Stratton, KL, Farriester, S, Hemken, E, Stadler, WM, Pera, T, Banionyte, D, Bianco, FJ, Lopez, IH, Loeb, S, Taneja, SS, Byrne, N, Amling, CL, Martinez, A, Boileau, L, Gaylis, FD, Petkewicz, J, Kirwen, N, Helfand, BT, Xu, J, Scholtens, DM, Catalona, WJ, Witte, JS, Jiang, Y, Meyers, TJ, Emeka, AA, Cooley, LF, Cooper, PR, Lancki, N, Helenowski, I, Kachuri, L, Lin, DW, Stanford, JL, Newcomb, LF, Kolb, S, Finelli, A, Fleshner, NE, Komisarenko, M, Eastham, JA, Ehdaie, B, Benfante, N, Logothetis, CJ, Gregg, JR, Perez, CA, Garza, S, Kim, J, Marks, LS, Delfin, M, Barsa, D, Vesprini, D, Klotz, LH, Loblaw, A, Mamedov, A, Goldenberg, SL, Higano, CS, Spillane, M, Wu, E, Carter, HB, Pavlovich, CP, Mamawala, M, Landis, T, Carroll, PR, Chan, JM, Cooperberg, MR, Cowan, JE, Morgan, TM, Siddiqui, J, Martin, R, Klein, EA, Brittain, K, Gotwald, P, Barocas, DA, Dallmer, JR, Gordetsky, JB, Steele, P, Kundu, SD, Stockdale, J, Roobol, MJ, Venderbos, LDF, Sanda, MG, Arnold, R, Patil, D, Evans, CP, Dall'Era, MA, Vij, A, Costello, AJ, Chow, K, Corcoran, NM, Rais-Bahrami, S, Phares, C, Scherr, DS, Flynn, T, Karnes, RJ, Koch, M, Dhondt, CR, Nelson, JB, McBride, D, Cookson, MS, Stratton, KL, Farriester, S, Hemken, E, Stadler, WM, Pera, T, Banionyte, D, Bianco, FJ, Lopez, IH, Loeb, S, Taneja, SS, Byrne, N, Amling, CL, Martinez, A, Boileau, L, Gaylis, FD, Petkewicz, J, Kirwen, N, Helfand, BT, Xu, J, Scholtens, DM, Catalona, WJ, and Witte, JS
Abstract: Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment. PC is one of the most heritable cancers, and genetic factors that predispose to aggressive tumors may help distinguish men who are more likely to discontinue AS. To investigate this, we undertook a multi-institutional genome-wide association study (GWAS) of 5,222 PC patients and 1,139 other patients from replication cohorts, all of whom initially elected AS and were followed over time for the potential outcome of conversion from AS to active treatment. In the GWAS we detected 18 variants associated with conversion, 15 of which were not previously associated with PC risk. With a transcriptome-wide association study (TWAS), we found two genes associated with conversion (MAST3, p = 6.9×10-7 and GAB2, p = 2.0×10-6). Moreover, increasing values of a previously validated 269-variant genetic risk score (GRS) for PC was positively associated with conversion (e.g., comparing the highest to the two middle deciles gave a hazard ratio [HR] = 1.13; 95% Confidence Interval [CI]= 0.94-1.36); whereas, decreasing values of a 36-variant GRS for prostate-specific antigen (PSA) levels were positively associated with conversion (e.g., comparing the lowest to the two middle deciles gave a HR = 1.25; 95% CI, 1.04-1.50). These results suggest that germline genetics may help inform and individualize the decision of AS-or the intensity of monitoring on AS-versus treatment for the initial management of patients with low-risk PC.
Published: 2022

4. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score

Author: Minh-Phuong, H-L, Karunamuni, R, Fan, CC, Asona, L, Thompson, WK, Martinez, ME, Eeles, RA, Kote-Jarai, Z, Muir, KR, Lophatananon, A, Schleutker, J, Pashayan, N, Batra, J, Groenberg, H, Neal, DE, Nordestgaard, BG, Tangen, CM, MacInnis, RJ, Wolk, A, Albanes, D, Haiman, CA, Travis, RC, Blot, WJ, Stanford, JL, Mucci, LA, West, CML, Nielsen, SF, Kibel, AS, Cussenot, O, Berndt, S, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Menegaux, F, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Rosenstein, BS, Lu, Y-J, Watya, S, Vega, A, Kogevinas, M, Wiklund, F, Penney, KL, Huff, CD, Teixeira, MR, Multigner, L, Leach, RJ, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Ost, P, Razack, A, Newcomb, LF, Fowke, JH, Gamulin, M, Abraham, A, Claessens, F, Castelao, JE, Townsend, PA, Crawford, DC, Petrovics, G, van Schaik, RHN, Parent, M-E, Hu, JJ, Zheng, W, Mills, IG, Andreassen, OA, Dale, AM, Seibert, TM, Minh-Phuong, H-L, Karunamuni, R, Fan, CC, Asona, L, Thompson, WK, Martinez, ME, Eeles, RA, Kote-Jarai, Z, Muir, KR, Lophatananon, A, Schleutker, J, Pashayan, N, Batra, J, Groenberg, H, Neal, DE, Nordestgaard, BG, Tangen, CM, MacInnis, RJ, Wolk, A, Albanes, D, Haiman, CA, Travis, RC, Blot, WJ, Stanford, JL, Mucci, LA, West, CML, Nielsen, SF, Kibel, AS, Cussenot, O, Berndt, S, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Menegaux, F, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Rosenstein, BS, Lu, Y-J, Watya, S, Vega, A, Kogevinas, M, Wiklund, F, Penney, KL, Huff, CD, Teixeira, MR, Multigner, L, Leach, RJ, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Ost, P, Razack, A, Newcomb, LF, Fowke, JH, Gamulin, M, Abraham, A, Claessens, F, Castelao, JE, Townsend, PA, Crawford, DC, Petrovics, G, van Schaik, RHN, Parent, M-E, Hu, JJ, Zheng, W, Mills, IG, Andreassen, OA, Dale, AM, and Seibert, TM
Abstract: BACKGROUND: Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets. METHODS: In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured. RESULTS: The final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively. CONCLUSIONS: We demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry d
Published: 2022

5. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer

Author: Karunamuni, RA, Huynh-Le, M-P, Fan, CC, Thompson, W, Eeles, RA, Kote-Jarai, Z, Muir, K, Lophatananon, A, Schleutker, J, Pashayan, N, Batra, J, Groenberg, H, Walsh, EI, Turner, EL, Lane, A, Martin, RM, Neal, DE, Donovan, JL, Hamdy, FC, Nordestgaard, BG, Tangen, CM, MacInnis, RJ, Wolk, A, Albanes, D, Haiman, CA, Travis, RC, Stanford, JL, Mucci, LA, West, CML, Nielsen, SF, Kibel, AS, Wiklund, F, Cussenot, O, Berndt, SI, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Rosenstein, BS, Vega, A, Kogevinas, M, Penney, KL, Teixeira, MR, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, Razack, A, Newcomb, LF, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Roobol, MJ, Zheng, W, Mills, IG, Andreassen, OA, Dale, AM, Seibert, TM, Karunamuni, RA, Huynh-Le, M-P, Fan, CC, Thompson, W, Eeles, RA, Kote-Jarai, Z, Muir, K, Lophatananon, A, Schleutker, J, Pashayan, N, Batra, J, Groenberg, H, Walsh, EI, Turner, EL, Lane, A, Martin, RM, Neal, DE, Donovan, JL, Hamdy, FC, Nordestgaard, BG, Tangen, CM, MacInnis, RJ, Wolk, A, Albanes, D, Haiman, CA, Travis, RC, Stanford, JL, Mucci, LA, West, CML, Nielsen, SF, Kibel, AS, Wiklund, F, Cussenot, O, Berndt, SI, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Rosenstein, BS, Vega, A, Kogevinas, M, Penney, KL, Teixeira, MR, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, Razack, A, Newcomb, LF, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Roobol, MJ, Zheng, W, Mills, IG, Andreassen, OA, Dale, AM, and Seibert, TM
Abstract: BACKGROUND: Polygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46). MATERIALS AND METHOD: 180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy. RESULTS: 166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer. CONCLUSIONS: Incorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.
Published: 2021

6. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

Author: Conti, D, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Al Olama, AA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Roder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, 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, SJ, 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-E, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Hakansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sorensen, 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, Burnet, N, 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, Gomez-Caamano, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandao, A, Watya, S, Lubwama, A, Bensen, JT, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castano-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, 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, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, 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, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, S, Van den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Haiman, CA, Conti, D, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Al Olama, AA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokolorczyk, D, Lubinski, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Roder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, 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, SJ, 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-E, Stanford, JL, Ostrander, EA, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Hakansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sorensen, 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, Burnet, N, 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, Gomez-Caamano, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandao, A, Watya, S, Lubwama, A, Bensen, JT, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castano-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, 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, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, 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, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, S, Van den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, and Haiman, CA
Abstract: Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.
Published: 2021

7. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

Author: Huynh-Le, M-P, Fan, CC, Karunamuni, R, Thompson, WK, Martinez, ME, Eeles, RA, Kote-Jarai, Z, Muir, K, Schleutker, J, Pashayan, N, Batra, J, Gronberg, H, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nielsen, SF, Nordestgaard, BG, Wiklund, F, Tangen, CM, Giles, GG, Wolk, A, Albanes, D, Travis, RC, Blot, WJ, Zheng, W, Sanderson, M, Stanford, JL, Mucci, LA, West, CML, Kibel, AS, Cussenot, O, Berndt, SI, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Menegaux, F, Khaw, K-T, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Thibodeau, SN, Rosenstein, BS, Lu, Y-J, Watya, S, Vega, A, Kogevinas, M, Penney, KL, Huff, C, Teixeira, MR, Multigner, L, Leach, RJ, Cannon-Albright, L, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Pandha, H, Razack, A, Newcomb, LF, Fowke, JH, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Bush, WS, Roobol, MJ, Parent, M-E, Hu, JJ, Mills, IG, Andreassen, OA, Dale, AM, Seibert, TM, Huynh-Le, M-P, Fan, CC, Karunamuni, R, Thompson, WK, Martinez, ME, Eeles, RA, Kote-Jarai, Z, Muir, K, Schleutker, J, Pashayan, N, Batra, J, Gronberg, H, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nielsen, SF, Nordestgaard, BG, Wiklund, F, Tangen, CM, Giles, GG, Wolk, A, Albanes, D, Travis, RC, Blot, WJ, Zheng, W, Sanderson, M, Stanford, JL, Mucci, LA, West, CML, Kibel, AS, Cussenot, O, Berndt, SI, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Menegaux, F, Khaw, K-T, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Thibodeau, SN, Rosenstein, BS, Lu, Y-J, Watya, S, Vega, A, Kogevinas, M, Penney, KL, Huff, C, Teixeira, MR, Multigner, L, Leach, RJ, Cannon-Albright, L, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Pandha, H, Razack, A, Newcomb, LF, Fowke, JH, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Bush, WS, Roobol, MJ, Parent, M-E, Hu, JJ, Mills, IG, Andreassen, OA, Dale, AM, and Seibert, TM
Abstract: Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p < 10-180). Comparing the 80th/20th PHS2 percentiles, hazard ratios for prostate cancer, aggressive cancer, and prostate-cancer-specific death are 5.32, 5.88, and 5.68, respectively. Within European, Asian, and African ancestries, hazard ratios for prostate cancer are: 5.54, 4.49, and 2.54, respectively. PHS2 risk-stratifies men for any, aggressive, and fatal prostate cancer in a multi-ethnic dataset.
Published: 2021

8. Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

Author: Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, 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, Geybels, MS, Koutros, S, Freeman, LEB, 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, Burnet, N, 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, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, 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, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, 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, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Haiman, CA, Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Sahimi, A, Hoffmann, TJ, Takahashi, A, Matsuda, K, Momozawa, Y, Fujita, M, Muir, K, Lophatananon, A, Wan, P, Le Marchand, L, Wilkens, LR, Stevens, VL, Gapstur, SM, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, 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, Geybels, MS, Koutros, S, Freeman, LEB, 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, Burnet, N, 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, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Holleczek, B, Saum, K-U, 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, C, Rybicki, BA, Gamulin, M, Lessel, D, Kulis, T, Usmani, N, 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, JC, Petrovics, G, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, and Haiman, CA
Abstract: In the version of this article originally published, the names of the equally contributing authors and jointly supervising authors were switched. The correct affiliations are: “These authors contributed equally: David V. Conti, Burcu F. Darst. These authors jointly supervised this work: David V. Conti, Rosalind A. Eeles, Zsofia Kote-Jarai, Christopher A. Haiman.” The error has been corrected in the HTML and PDF versions of the article.
Published: 2021

9. Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Author: Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Sahimi, A, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Hoffmann, TJ, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Takahashi, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Matsuda, K, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Momozawa, Y, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Fujita, M, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Muir, K, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Lophatananon, A, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Wan, P, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Le Marchand, L, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Wilkens, LR, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Stevens, VL, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Gapstur, SM, Haiman, CA, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, 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, Geybels, MS, Koutros, S, Freeman, LEB, 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, Conti, DV, Darst, BF, Moss, LC, Saunders, EJ, Sheng, X, Chou, A, Schumacher, FR, Olama, AAA, Benlloch, S, Dadaev, T, Brook, MN, Zhang, H-W, Feng, N, Mao, X, Wu, Y, Zhao, S-C, Sun, Z, Thibodeau, SN, McDonnell, SK, Schaid, DJ, West, CML, Sahimi, A, Burnet, N, Barnett, G, Maier, C, Schnoeller, T, Luedeke, M, Kibel, AS, Drake, BF, Cussenot, O, Cancel-Tassin, G, Menegaux, F, Hoffmann, TJ, Truong, T, Koudou, YA, John, EM, Grindedal, EM, Maehle, L, Khaw, K-T, Ingles, SA, Stern, MC, Vega, A, Gómez-Caamaño, A, Takahashi, A, Fachal, L, Rosenstein, BS, Kerns, SL, Ostrer, H, Teixeira, MR, Paulo, P, Brandão, A, Watya, S, Lubwama, A, Bensen, JT, Matsuda, K, Fontham, ETH, Mohler, J, Taylor, JA, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Cannon-Albright, L, Teerlink, CC, Huff, CD, Strom, SS, Momozawa, Y, Multigner, L, Blanchet, P, Brureau, L, Kaneva, R, Slavov, C, Mitev, V, Leach, RJ, Weaver, B, Brenner, H, Cuk, K, Fujita, M, Holleczek, B, Saum, K-U, Klein, EA, Hsing, AW, Kittles, RA, Murphy, AB, Logothetis, CJ, Kim, J, Neuhausen, SL, Steele, L, Muir, K, Ding, YC, Isaacs, WB, Nemesure, B, Hennis, AJM, Carpten, J, Pandha, H, Michael, A, De Ruyck, K, De Meerleer, G, Ost, P, Lophatananon, A, Xu, J, Razack, A, Lim, J, Teo, S-H, Newcomb, LF, Lin, DW, Fowke, JH, Neslund-Dudas, C, Rybicki, BA, Gamulin, M, Wan, P, Lessel, D, Kulis, T, Usmani, N, Singhal, S, Parliament, M, Claessens, F, Joniau, S, Van den Broeck, T, Gago-Dominguez, M, Castelao, JE, Le Marchand, L, Martinez, ME, Larkin, S, Townsend, PA, Aukim-Hastie, C, Bush, WS, Aldrich, MC, Crawford, DC, Srivastava, S, Cullen, JC, Petrovics, G, Wilkens, LR, Casey, G, Roobol, MJ, Jenster, G, van Schaik, RHN, Hu, JJ, Sanderson, M, Varma, R, McKean-Cowdin, R, Torres, M, Mancuso, N, Stevens, VL, Berndt, SI, Van Den Eeden, SK, Easton, DF, Chanock, SJ, Cook, MB, Wiklund, F, Nakagawa, H, Witte, JS, Eeles, RA, Kote-Jarai, Z, Gapstur, SM, Haiman, CA, Carter, BD, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Giles, GG, Southey, MC, MacInnis, RJ, Cybulski, C, Wokołorczyk, D, Lubiński, J, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nordestgaard, BG, Nielsen, SF, Weischer, M, Bojesen, SE, Røder, MA, Iversen, P, Batra, J, Chambers, S, Moya, L, Horvath, L, Clements, JA, Tilley, W, Risbridger, GP, Gronberg, H, Aly, M, Szulkin, R, Eklund, M, Nordström, T, Pashayan, N, Dunning, AM, Ghoussaini, M, Travis, RC, Key, TJ, Riboli, E, Park, JY, Sellers, TA, Lin, H-Y, Albanes, D, Weinstein, SJ, 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, Geybels, MS, Koutros, S, Freeman, LEB, Stampfer, M, Wolk, A, Håkansson, N, Andriole, GL, Hoover, RN, Machiela, MJ, Sørensen, KD, Borre, M, Blot, WJ, Zheng, W, Yeboah, ED, Mensah, JE, and Lu, Y-J
Abstract: Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.
Published: 2021

10. Polygenic hazard score is associated with prostate cancer in multi-ethnic populations

Author: Huynh-Le, MP, Fan, CC, Karunamuni, R, Thompson, WK, Martinez, M E, Eeles, RA, Kote-Jarai, Z, Muir, K, Schleutker, J, Pashayan, N, Batra, J, Grönberg, H, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nielsen, SF, Nordestgaard, BG, Wiklund, F, Tangen, C M, Giles, GG, Wolk, A, Albanes, D, Travis, RC, Blot, WJ, Zheng, W, Sanderson, M, Stanford, J L, Mucci, LA, West, CML, Kibel, AS, Cussenot, O, Berndt, SI, Koutros, S, Sørensen, KD, Cybulski, C, Grindedal, EM, Menegaux, F, Khaw, KTH, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Thibodeau, SN, Rosenstein, B S, Lu, YJ, Watya, S, Vega, A, Kogevinas, M, Penney, KL, Huff, C, Teixeira, MR, Multigner, L, Leach, RJ, Cannon-Albright, L, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Pandha, H, Razack, A, Newcomb, LF, Fowke, JH, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Bush, WS, Roobol - Bouts, Monique, Parent, MÉ, Hu, JJ, Mills, IG, Andreassen, OA, Dale, AM, Seibert, TM, Huynh-Le, MP, Fan, CC, Karunamuni, R, Thompson, WK, Martinez, M E, Eeles, RA, Kote-Jarai, Z, Muir, K, Schleutker, J, Pashayan, N, Batra, J, Grönberg, H, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Nielsen, SF, Nordestgaard, BG, Wiklund, F, Tangen, C M, Giles, GG, Wolk, A, Albanes, D, Travis, RC, Blot, WJ, Zheng, W, Sanderson, M, Stanford, J L, Mucci, LA, West, CML, Kibel, AS, Cussenot, O, Berndt, SI, Koutros, S, Sørensen, KD, Cybulski, C, Grindedal, EM, Menegaux, F, Khaw, KTH, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Thibodeau, SN, Rosenstein, B S, Lu, YJ, Watya, S, Vega, A, Kogevinas, M, Penney, KL, Huff, C, Teixeira, MR, Multigner, L, Leach, RJ, Cannon-Albright, L, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Pandha, H, Razack, A, Newcomb, LF, Fowke, JH, Gamulin, M, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Bush, WS, Roobol - Bouts, Monique, Parent, MÉ, Hu, JJ, Mills, IG, Andreassen, OA, Dale, AM, and Seibert, TM
Abstract: Genetic models for cancer have been evaluated using almost exclusively European data, which could exacerbate health disparities. A polygenic hazard score (PHS1) is associated with age at prostate cancer diagnosis and improves screening accuracy in Europeans. Here, we evaluate performance of PHS2 (PHS1, adapted for OncoArray) in a multi-ethnic dataset of 80,491 men (49,916 cases, 30,575 controls). PHS2 is associated with age at diagnosis of any and aggressive (Gleason score ≥ 7, stage T3-T4, PSA ≥ 10 ng/mL, or nodal/distant metastasis) cancer and prostate-cancer-specific death. Associations with cancer are significant within European (n = 71,856), Asian (n = 2,382), and African (n = 6,253) genetic ancestries (p < 10−180). Comparing the 80th/20th PHS2 percentiles, hazard ratios for prostate cancer, aggressive cancer, and prostate-cancer-specific death are 5.32, 5.88, and 5.68, respectively. Within European, Asian, and African ancestries, hazard ratios for prostate cancer are: 5.54, 4.49, and 2.54, respectively. PHS2 risk-stratifies men for any, aggressive, and fatal prostate cancer in a multi-ethnic dataset.
Published: 2021

11. The CHEK2 Variant C.349A>G Is Associated with Prostate Cancer Risk and Carriers Share a Common Ancestor

Author: Brandao, A, Paulo, P, Maia, S, Pinheiro, M, Peixoto, A, Cardoso, M, Silva, MP, Santos, C, Eeles, RA, Kote-Jarai, Z, Muir, K, Schleutker, J, Wang, Y, Pashayan, N, Batra, J, Gronberg, H, Neal, DE, Nordestgaard, BG, Tangen, CM, Southey, MC, Wolk, A, Albanes, D, Haiman, CA, Travis, RC, Stanford, JL, Mucci, LA, West, CML, Nielsen, SF, Kibel, AS, Cussenot, O, Berndt, SI, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Rosenstein, BS, Vega, A, Kogevinas, M, Wiklund, F, Penney, KL, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Razack, A, Newcomb, LF, Lessel, D, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Roobol, MJ, Teixeira, MR, Brandao, A, Paulo, P, Maia, S, Pinheiro, M, Peixoto, A, Cardoso, M, Silva, MP, Santos, C, Eeles, RA, Kote-Jarai, Z, Muir, K, Schleutker, J, Wang, Y, Pashayan, N, Batra, J, Gronberg, H, Neal, DE, Nordestgaard, BG, Tangen, CM, Southey, MC, Wolk, A, Albanes, D, Haiman, CA, Travis, RC, Stanford, JL, Mucci, LA, West, CML, Nielsen, SF, Kibel, AS, Cussenot, O, Berndt, SI, Koutros, S, Sorensen, KD, Cybulski, C, Grindedal, EM, Park, JY, Ingles, SA, Maier, C, Hamilton, RJ, Rosenstein, BS, Vega, A, Kogevinas, M, Wiklund, F, Penney, KL, Brenner, H, John, EM, Kaneva, R, Logothetis, CJ, Neuhausen, SL, De Ruyck, K, Razack, A, Newcomb, LF, Lessel, D, Usmani, N, Claessens, F, Gago-Dominguez, M, Townsend, PA, Roobol, MJ, and Teixeira, MR
Abstract: The identification of recurrent founder variants in cancer predisposing genes may have important implications for implementing cost-effective targeted genetic screening strategies. In this study, we evaluated the prevalence and relative risk of the CHEK2 recurrent variant c.349A>G in a series of 462 Portuguese patients with early-onset and/or familial/hereditary prostate cancer (PrCa), as well as in the large multicentre PRACTICAL case-control study comprising 55,162 prostate cancer cases and 36,147 controls. Additionally, we investigated the potential shared ancestry of the carriers by performing identity-by-descent, haplotype and age estimation analyses using high-density SNP data from 70 variant carriers belonging to 11 different populations included in the PRACTICAL consortium. The CHEK2 missense variant c.349A>G was found significantly associated with an increased risk for PrCa (OR 1.9; 95% CI: 1.1-3.2). A shared haplotype flanking the variant in all carriers was identified, strongly suggesting a common founder of European origin. Additionally, using two independent statistical algorithms, implemented by DMLE+2.3 and ESTIAGE, we were able to estimate the age of the variant between 2300 and 3125 years. By extending the haplotype analysis to 14 additional carrier families, a shared core haplotype was revealed among all carriers matching the conserved region previously identified in the high-density SNP analysis. These findings are consistent with CHEK2 c.349A>G being a founder variant associated with increased PrCa risk, suggesting its potential usefulness for cost-effective targeted genetic screening in PrCa families.
Published: 2020

12. Estramustine in combination with vinblastine and mitomycin-C for patients with progressive androgen independent adenocarcinoma of the prostate

Author: Amato, RJ, Bui, C, and Logothetis, CJ
Published: 1999
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13. Germline variation at 8q24 and prostate cancer risk in men of European ancestry (vol 9, 4616, 2018)

Author: Matejcic, M, Saunders, EJ, Dadaev, T, Brook, MN, Wang, K, Sheng, X, Al Olama, AA, Schumacher, FR, Ingles, SA, Govindasami, K, Benlloch, S, Berndt, SI, Albanes, D, Koutros, S, Muir, K, Stevens, VL, Gapstur, SM, Tangen, CM, Batra, J, Clements, J, Gronberg, H, Pashayan, N, Schleutker, J, Wolk, A, West, C, Mucci, L, Kraft, P, Cancel-Tassin, G, Sorensen, KD, Maehle, L, Grindedal, EM, Strom, SS, Neal, DE, Hamdy, FC, Donovan, JL, Travis, RC, Hamilton, RJ, Rosenstein, B, Lu, Y-J, Giles, GG, Kibel, AS, Vega, A, Bensen, JT, Kogevinas, M, Penney, KL, Park, JY, Stanford, JL, Cybulski, C, Nordestgaard, BG, Brenner, H, Maier, C, Kim, J, Teixeira, MR, Neuhausen, SL, De Ruyck, K, Razack, A, Newcomb, LF, Lessel, D, Kaneva, R, Usmani, N, Claessens, F, Townsend, PA, Gago-Dominguez, M, Roobol, MJ, Menegaux, F, Khaw, K-T, Cannon-Albright, LA, Pandha, H, Thibodeau, SN, Schaid, DJ, Wiklund, F, Chanock, SJ, Easton, DF, Eeles, RA, Kote-Jarai, Z, Conti, DV, Haiman, CA, Henderson, BE, Stern, MC, Thwaites, A, Guy, M, Whitmore, I, Morgan, A, Fisher, C, Hazel, S, Livni, N, Cook, M, Fachal, L, Weinstein, S, Freeman, LEB, Hoover, RN, Machiela, MJ, Lophatananon, A, Carter, BD, Goodman, P, Moya, L, Srinivasan, S, Kedda, M-A, Yeadon, T, Eckert, A, Eklund, M, Cavalli-Bjoerkman, C, Dunning, AM, Sipeky, C, Hakansson, N, Elliott, R, Ranu, H, Giovannucci, E, Turman, C, Hunter, DJ, Cussenot, O, Orntoft, TF, Lane, A, Lewis, SJ, Davis, M, Key, TJ, Brown, P, Kulkarni, GS, Zlotta, AR, Fleshner, NE, Finelli, A, Mao, X, Marzec, J, MacInnis, RJ, Milne, R, Hopper, JL, Aguado, M, Bustamante, M, Castano-Vinyals, G, Gracia-Lavedan, E, Cecchini, L, Stampfer, M, Ma, J, Sellers, TA, Geybels, MS, Park, H, Zachariah, B, Kolb, S, Wokolorczyk, D, Lubinski, J, Kluzniak, W, Nielsen, SF, Weisher, M, Cuk, K, Vogel, W, Luedeke, M, Logothetis, CJ, Paulo, P, Cardoso, M, Maia, S, Silva, MP, Steele, L, Ding, YC, De Meerleer, G, De Langhe, S, Thierens, H, Lim, J, Tan, MH, Ong, AT, Lin, DW, Kachakova, D, Mitkova, A, Mitev, V, Parliament, M, Jenster, G, Bangma, C, Schroder, FH, Truong, T, Koudou, YA, Michael, A, Kierzek, A, Karlsson, A, Broms, M, Wu, H, Aukim-Hastie, C, Tillmans, L, Riska, S, McDonnell, SK, Dearnaley, D, Spurdle, A, Gardiner, R, Hayes, V, Butler, L, Taylor, R, Papargiris, M, Saunders, P, Kujala, P, Talala, K, Taari, K, Bentzen, S, Hicks, B, Vogt, A, Hutchinson, A, Cox, A, George, A, Toi, A, Evans, A, Van der Kwast, TH, Imai, T, Saito, S, Zhao, S-C, Ren, G, Zhang, Y, Yu, Y, Wu, Y, Wu, J, Zhou, B, Pedersen, J, Lobato-Busto, R, Manuel Ruiz-Dominguez, J, Mengual, L, Alcaraz, A, Pow-Sang, J, Herkommer, K, Vlahova, A, Dikov, T, Christova, S, Carracedo, A, Tretarre, B, Rebillard, X, Mulot, C, Adolfsson, J, Stattin, P, Johansson, J-E, Martin, RM, Thompson, IM, Chambers, S, Aitken, J, Horvath, L, Haynes, A-M, Tilley, W, Risbridger, G, Aly, M, Nordstrom, T, Pharoah, P, Tammela, TLJ, Murtola, T, Auvinen, A, Burnet, N, Barnett, G, Andriole, G, Klim, A, Drake, BF, Borre, M, Kerns, S, Ostrer, H, Zhang, H-W, Cao, G, Lin, J, Ling, J, Li, M, Feng, N, Li, J, He, W, Guo, X, Sun, Z, Wang, G, Guo, J, Southey, MC, FitzGerald, LM, Marsden, G, Gomez-Caamano, A, Carballo, A, Peleteiro, P, Calvo, P, Szulkin, R, Llorca, J, Dierssen-Sotos, T, Gomez-Acebo, I, Lin, H-Y, Ostrander, EA, Bisbjerg, R, Klarskov, P, Roder, MA, Iversen, P, Holleczek, B, Stegmaier, C, Schnoeller, T, Bohnert, P, John, EM, Ost, P, Teo, S-H, Gamulin, M, Kulis, T, Kastelan, Z, Slavov, C, Popov, E, Van den Broeck, T, Joniau, S, Larkin, S, Esteban Castelao, J, Martinez, ME, Van Schaik, RHN, Xu, J, Lindstrom, S, Riboli, E, Berry, C, Siddiq, A, Canzian, F, Kolonel, LN, Le Marchand, L, Freedman, M, Cenee, S, Sanchez, M, and Commission of the European Communities
Subjects: Multidisciplinary Sciences, Science & Technology, MD Multidisciplinary, Science & Technology - Other Topics, PRACTICAL Consortium
Abstract: Correction to: Nature Communications; https://doi.org/10.1038/s41467-018-06863-1, published online 5 November 2018.
Published: 2019

14. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author: Dadaev, T, Saunders, EJ, Newcombe, PJ, Anokian, E, Leongamornlert, DA, Brook, MN, Cieza-Borrella, C, Mijuskovic, M, Wakerell, S, Olama, AAA, Schumacher, FR, Berndt, SI, Benlloch, S, Ahmed, M, Goh, C, Sheng, X, Zhang, Z, Muir, K, Govindasami, K, Lophatananon, A, Stevens, VL, Gapstur, SM, Carter, BD, Tangen, CM, Goodman, P, Thompson, IM, Batra, J, Chambers, S, Moya, L, Clements, J, Horvath, L, Tilley, W, Risbridger, G, Gronberg, H, Aly, M, Nordström, T, Pharoah, P, Pashayan, N, Schleutker, J, Tammela, TLJ, Sipeky, C, Auvinen, A, Albanes, D, Weinstein, S, Wolk, A, Hakansson, N, West, C, Dunning, AM, Burnet, N, Mucci, L, Giovannucci, E, Andriole, G, Cussenot, O, Cancel-Tassin, G, Koutros, S, Freeman, LEB, Sorensen, KD, Orntoft, TF, Borre, M, Maehle, L, Grindedal, EM, Neal, DE, Donovan, JL, Hamdy, FC, Martin, RM, Travis, RC, Key, TJ, Hamilton, RJ, Fleshner, NE, Finelli, A, Ingles, SA, Stern, MC, Rosenstein, B, Kerns, S, Ostrer, H, Lu, Y-J, Zhang, H-W, Feng, N, Mao, X, Guo, X, Wang, G, Sun, Z, Giles, GG, Southey, MC, Macinnis, RJ, Fitzgerald, LM, Kibel, AS, Drake, BF, Vega, A, Gómez-Caamaño, A, Fachal, L, Szulkin, R, Eklund, M, Kogevinas, M, Llorca, J, Castaño-Vinyals, G, Penney, KL, Stampfer, M, Park, JY, Sellers, TA, Lin, H-Y, Stanford, JL, Cybulski, C, Wokolorczyk, D, Lubinski, J, Ostrander, EA, Geybels, MS, Nordestgaard, BG, Nielsen, SF, Weisher, M, Bisbjerg, R, Røder, MA, Iversen, P, Brenner, H, Cuk, K, Holleczek, B, Maier, C, Luedeke, M, Schnoeller, T, Kim, J, Logothetis, CJ, John, EM, Teixeira, MR, Paulo, P, Cardoso, M, Neuhausen, SL, Steele, L, Ding, YC, De Ruyck, K, De Meerleer, G, Ost, P, Razack, A, Lim, J, Teo, S-H, Lin, DW, Newcomb, LF, Lessel, D, Gamulin, M, Kulis, T, Kaneva, R, Usmani, N, Slavov, C, Mitev, V, Parliament, M, Singhal, S, Claessens, F, Joniau, S, Van Den Broeck, T, Larkin, S, Townsend, PA, Aukim-Hastie, C, Gago-Dominguez, M, Castelao, JE, Martinez, ME, Roobol, MJ, Jenster, G, Van Schaik, RHN, Menegaux, F, Truong, T, Koudou, YA, Xu, J, Khaw, K-T, Cannon-Albright, L, Pandha, H, Michael, A, Kierzek, A, Thibodeau, SN, McDonnell, SK, Schaid, DJ, Lindstrom, S, Turman, C, Ma, J, Hunter, DJ, Riboli, E, Siddiq, A, Canzian, F, Kolonel, LN, Le Marchand, L, Hoover, RN, Machiela, MJ, Kraft, P, Consortium, Practical (Prostate Cancer Association Group To Investigate Cancer-Associated Alterations In The Genome), Freedman, M, Wiklund, F, Chanock, S, Henderson, BE, Easton, DF, Haiman, CA, Eeles, RA, Conti, DV, Kote-Jarai, Z, Dadaev, Tokhir [0000-0002-8268-0438], Leongamornlert, Daniel A [0000-0002-3486-3168], Brook, Mark N [0000-0002-8969-2378], Olama, Ali Amin Al [0000-0002-7178-3431], Schumacher, Fredrick R [0000-0002-3073-7463], Muir, Kenneth [0000-0001-6429-988X], Batra, Jyotsna [0000-0003-4646-6247], Nordström, Tobias [0000-0003-4915-7546], Pharoah, Paul [0000-0001-8494-732X], Pashayan, Nora [0000-0003-0843-2468], Schleutker, Johanna [0000-0002-1863-0305], Sipeky, Csilla [0000-0002-8853-4722], Wolk, Alicja [0000-0001-7387-6845], Cancel-Tassin, Géraldine [0000-0002-9583-6382], Sorensen, Karina Dalsgaard [0000-0002-4902-5490], Kerns, Sarah [0000-0002-6503-0011], Ostrer, Harry [0000-0002-2209-5376], Fachal, Laura [0000-0002-7256-9752], Kogevinas, Manolis [0000-0002-9605-0461], Nordestgaard, Børge G [0000-0002-1954-7220], Lim, Jasmine [0000-0002-7501-1834], Truong, Thérèse [0000-0002-2943-6786], Xu, Jianfeng [0000-0002-1343-8752], Easton, Douglas F [0000-0003-2444-3247], Eeles, Rosalind A [0000-0002-3698-6241], Apollo - University of Cambridge Repository, National Institutes of Health, Urology, and Clinical Chemistry
Subjects: Male, Risk, Science, GENETIC, Quantitative Trait Loci, Black People, PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, urologic and male genital diseases, ANNOTATION, Polymorphism, Single Nucleotide, Article, White People, REGION, GENETIC ASSOCIATION, SDG 3 - Good Health and Well-being, MD Multidisciplinary, Medicine and Health Sciences, ELEMENTS, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, lcsh:Science, Medicinsk genetik, MODEL SELECTION, BAYESIAN FRAMEWORK, Cancer och onkologi, Science & Technology, Chromosome Mapping, Prostatic Neoplasms, Bayes Theorem, Molecular Sequence Annotation, ASSOCIATION, JOINT ANALYSIS, RISK LOCI, STATISTICS, Multidisciplinary Sciences, Cancer and Oncology, Multivariate Analysis, Science & Technology - Other Topics, lcsh:Q, Medical Genetics, Algorithms, VARIABLE-SELECTION, Genome-Wide Association Study
Abstract: Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling., Prostate cancer (PrCa) involves a large heritable genetic component. Here, the authors perform multivariate fine-mapping of known PrCa GWAS loci, identifying variants enriched for biological function, explaining more familial relative risk, and with potential application in clinical risk profiling.
Published: 2018

15. Targeting the interleukin-11 receptor alpha in metastatic prostate cancer: A first-in-man study

Author: Pasqualini, R, Millikan, RE, Christianson, DR, Cardo-Vila, M, Driessen, WHP, Giordano, RJ, Hajitou, A, Hoang, AG, Wen, S, Barnhart, KF, Baze, WB, Marcott, VD, Hawke, DH, Do, K-A, Navone, NM, Efstathiou, E, Troncoso, P, Lobb, RR, Logothetis, CJ, and Arap, W
Subjects: EXPRESSION, Male, Maximum Tolerated Dose, INCREASED SURVIVAL, Antineoplastic Agents, Bone Neoplasms, GUIDELINES, Kidney, vascular targeting, Drug Administration Schedule, DELIVERY, Humans, Interleukin-11 Receptor alpha Subunit, Oncology & Carcinogenesis, SM-153 LEXIDRONAM, Aged, DOCETAXEL, Aged, 80 and over, Science & Technology, bone metastasis-targeting peptidomimetic-11, clinical trial, ABIRATERONE, Middle Aged, prostate cancer, Prostatic Neoplasms, Castration-Resistant, Proteinuria, PHASE-I, Treatment Outcome, Oncology, CELLS, DISPLAY, interleukin-11 receptor alpha, Peptides, Life Sciences & Biomedicine, 1112 Oncology And Carcinogenesis, interleukin-11 receptor α
Published: 2014

16. Intraprostatic AD-p53 gene therapy followed by radical prostatectomy: feasibility and preliminary results

Author: Pisters, LL, Pettaway, CA, Hossan, E, Evans, R, Steiner, MS, Wood, CG, Troncoso, P, McDonnell, TJ, Fenstenmacher, MJ, and Logothetis, CJ
Published: 1999
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17. Management of patients with advanced prostate cancer: recommendations of the St Gallen Advanced Prostate Cancer Consensus Conference (APCCC) 2015

Author: Gillessen, S, Omlin, A, Attard, G, de Bono, JS, Efstathiou, E, Fizazi, K, Halabi, S, Nelson, PS, Sartor, O, Smith, MR, Soule, HR, Akaza, H, Beer, TM, Beltran, H, Chinnaiyan, AM, Daugaard, G, Davis, ID, De Santis, M, Drake, CG, Eeles, RA, Fanti, S, Gleave, ME, Heidenreich, A, Hussain, M, James, ND, Lecouvet, FE, Logothetis, CJ, Mastris, K, Nilsson, S, Oh, WK, Olmos, D, Padhani, AR, Parker, C, Rubin, MA, Schalken, JA, Scher, HI, Sella, A, Shore, ND, Small, EJ, Sternberg, CN, Suzuki, H, Sweeney, CJ, Tannock, IF, Tombal, B, Gillessen, S, Omlin, A, Attard, G, de Bono, JS, Efstathiou, E, Fizazi, K, Halabi, S, Nelson, PS, Sartor, O, Smith, MR, Soule, HR, Akaza, H, Beer, TM, Beltran, H, Chinnaiyan, AM, Daugaard, G, Davis, ID, De Santis, M, Drake, CG, Eeles, RA, Fanti, S, Gleave, ME, Heidenreich, A, Hussain, M, James, ND, Lecouvet, FE, Logothetis, CJ, Mastris, K, Nilsson, S, Oh, WK, Olmos, D, Padhani, AR, Parker, C, Rubin, MA, Schalken, JA, Scher, HI, Sella, A, Shore, ND, Small, EJ, Sternberg, CN, Suzuki, H, Sweeney, CJ, Tannock, IF, and Tombal, B
Abstract: The first St Gallen Advanced Prostate Cancer Consensus Conference (APCCC) Expert Panel identified and reviewed the available evidence for the ten most important areas of controversy in advanced prostate cancer (APC) management. The successful registration of several drugs for castration-resistant prostate cancer and the recent studies of chemo-hormonal therapy in men with castration-naïve prostate cancer have led to considerable uncertainty as to the best treatment choices, sequence of treatment options and appropriate patient selection. Management recommendations based on expert opinion, and not based on a critical review of the available evidence, are presented. The various recommendations carried differing degrees of support, as reflected in the wording of the article text and in the detailed voting results recorded in supplementary Material, available at Annals of Oncology online. Detailed decisions on treatment as always will involve consideration of disease extent and location, prior treatments, host factors, patient preferences as well as logistical and economic constraints. Inclusion of men with APC in clinical trials should be encouraged.
Published: 2015

18. The association of p21 ((WAF-1/CIP1)) with progression to androgen-independent prostate cancer

Author: Fizazi, K, Martinez, LA, Sikes, CR, Johnston, DA, Stephens, LC, McDonnell, TJ, Logothetis, CJ, Trapman, Jan, Pisters, LL, Ordoñez, NG, Troncoso, P, Navone, NM, and Pathology
Subjects: SDG 3 - Good Health and Well-being
Published: 2002

19. NEOADJUVANT CISPLATIN AND INTERFERON-ALPHA-2B IN THE TREATMENT AND ORGAN PRESERVATION OF PENILE CARCINOMA

Author: MITROPOULOS, D DIMOPOULOS, MA KIROUDIVOULGARI, A ZERVAS, A and DIMOPOULOS, C LOGOTHETIS, CJ
Abstract: We investigated the antitumor activity and toxicity of cisplatin and interferon-alpha 2B as the primary treatment of penile carcinoma. A total of 13 consecutive patients with nonmetastatic histologically confirmed invasive squamous cell carcinoma of the penis underwent treatment consisting of 20 mg./m.(2) cisplatin intravenously and 5 x 10(6) mu./m.(2) interferon-alpha 2B subcutaneously daily for 5 consecutive days. An equivalent dose of interferon was then administered subcutaneously every 2 days for 3 weeks and the regimen was repeated at 28-day intervals. Of 12 evaluable patients 9 responded: 4 achieved a pathologically confirmed complete remission of 38+, 21+, 10 and 7 months in duration (2 with relapse were treated with local therapy and remain with no evidence of disease), and 5 achieved a partial response, underwent surgical removal of residual disease and remained disease-free for 14+ to 24+ months. The most significant toxicities were anemia in 5 patients and reversible renal impairment in 3 but no patient had neutropenic fever or required platelet transfusion. We conclude that primary treatment with cisplatin and interferon-alpha 2B induced responses in 75% of 12 patients with penile carcinoma and allowed for a less radical operation than originally scheduled. A larger number of patients and longer followup will be required to confirm these encouraging preliminary results.
Published: 1994

20. Pattern of failure and survival of patients with metastatic urothelial tumors relapsing after cis-platinum-based chemotherapy

Author: Dimopoulos, MA Finn, L Logothetis, CJ
Subjects: Health Sciences, Επιστήμες Υγείας
Published: 1994

21. Collecting duct carcinoma of the kidney

Author: Dimopoulos, MA Logothetis, CJ Markowitz, A Sella, A Amato, R Ro, Jae
Subjects: Health Sciences, Επιστήμες Υγείας
Published: 1993

22. Effect of abiraterone acetate and prednisone compared with placebo and prednisone on pain control and skeletal-related events in patients with metastatic castration-resistant prostate cancer: exploratory analysis of data from the COU-AA-301 randomised trial.

Author: Logothetis CJ, Basch E, Molina A, Fizazi K, North SA, Chi KN, Jones RJ, Goodman OB, Mainwaring PN, Sternberg CN, Efstathiou E, Gagnon DD, Rothman M, Hao Y, Liu CS, Kheoh TS, Haqq CM, Scher HI, de Bono JS, and Logothetis, Christopher J
Abstract: Background: Bone metastases are a major cause of morbidity in metastatic castration-resistant prostate cancer. Abiraterone acetate potently disrupts intracrine androgen receptor signalling pathways implicated in the progression of the disease, including bone metastases. We assessed data for pain control and skeletal-related events prospectively collected as part of the randomised, phase 3 COU-AA-301 trial of abiraterone acetate plus prednisone versus placebo plus prednisone in patients with metastatic castration-resistant prostate cancer after docetaxel chemotherapy.Methods: The COU-AA-301 trial enrolled patients with metastatic castration-resistant prostate cancer in whom one or two lines of chemotherapy (one docetaxel based) had been unsuccessful and who had Eastern Cooperative Oncology Group performance statuses of 2 or less. Pain intensity and interference of pain with daily activities were assessed with the Brief Pain Inventory-Short Form questionnaire at baseline, day 15 of cycle 1, and day 1 of each treatment cycle thereafter until discontinuation. We assessed, with prospectively defined response criteria that incorporated analgesic use, clinically meaningful changes in pain intensity and interference with daily living. We measured time to first occurrence of skeletal-related events, which we defined as pathological fracture, spinal cord compression, palliative radiation to bone, or bone surgery, and regularly assessed them throughout the study. Pain palliation was assessed in patients who had clinically significant baseline pain, whereas all other analyses were done in the overall intention-to-treat population. COU-AA-301 is registered with ClinicalTrials.gov, number NCT00638690.Findings: Median follow-up was 20·2 months (IQR 18·4-22·1). In patients with clinically significant pain at baseline, abiraterone acetate and prednisone resulted in significantly more palliation (157 of 349 [45·0%] patients vs 47 of 163 [28·8%]; p=0·0005) and faster palliation (median time to palliation 5·6 months [95% CI 3·7-9·2] vs 13·7 months [5·4-not estimable]; p=0·0018) of pain intensity than did prednisone only. Palliation of pain interference (134 of 223 [60·1%] vs 38 of 100 [38·0%], p=0·0002; median time to palliation of pain interference 1·0 months [95% CI 0·9-1·9] vs 3·7 months [2·7-not estimable], p=0·0004) and median duration of palliation of pain intensity (4·2 months [95% CI 3·0-4·9] vs 2·1 months [1·4-3·7]; p=0·0056) were significantly better with abiraterone acetate and prednisone than with prednisone only. In the overall population, median time to occurrence of first skeletal-related event was significantly longer with abiraterone acetate and prednisone than with prednisone only (25·0 months [95% CI 25·0-not estimable] vs 20·3 months [16·9-not estimable]; p=0·0001).Interpretation: In patients with metastatic castration-resistant prostate cancer previously treated with docetaxel, abiraterone acetate and prednisone offer significant benefits compared with prednisone alone in terms of pain relief, delayed pain progression, and prevention of skeletal-related events.Funding: Janssen Research & Development and Janssen Global Services. [ABSTRACT FROM AUTHOR]
Published: 2012
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23. Dasatinib combined with docetaxel for castration-resistant prostate cancer: results from a phase 1-2 study.

Author: Araujo JC, Mathew P, Armstrong AJ, Braud EL, Posadas E, Lonberg M, Gallick GE, Trudel GC, Paliwal P, Agrawal S, Logothetis CJ, Araujo, John C, Mathew, Paul, Armstrong, Andrew J, Braud, Edward L, Posadas, Edwin, Lonberg, Mathew, Gallick, Gary E, Trudel, Géralyn C, and Paliwal, Prashni
Abstract: Background: To determine the potential efficacy of targeting both the tumor and bone microenvironment in patients with castration-resistant prostate cancer (PC), the authors conducted a phase 1-2 trial combining docetaxel with dasatinib, an oral SRC inhibitor.Methods: In phase 1, 16 men received dasatinib 50 to 120 mg once daily and docetaxel 60 to 75 mg/m(2) every 21 days. In phase 2, 30 additional men received dasatinib 100 mg once daily/docetaxel 75 mg/m(2) every 21 days. Efficacy endpoints included changes in prostate-specific antigen (PSA), measurable disease, bone scans, and markers of bone metabolism. Safety and pharmacokinetics were also studied.Results: Combination dasatinib and docetaxel therapy was generally well tolerated. Thirteen of 46 patients (28%) had a grade 3-4 toxicity. Drug-drug interactions and a maximum tolerated dose were not identified. Durable 50% PSA declines occurred in 26 of 46 patients (57%). Of 30 patients with measurable disease, 18 (60%) had a partial response. Fourteen patients (30%) had disappearance of a lesion on bone scan. In bone marker assessments, 33 of 38 (87%) and 26 of 34 (76%) had decreases in urinary N-telopeptide or bone-specific alkaline phosphatase levels, respectively. Twenty-eight patients (61%) received single-agent dasatinib after docetaxel discontinuation and had stabilization of disease for an additional 1 to 12 months.Conclusions: The high objective response rate and favorable toxicity profile are promising and justify randomized studies of docetaxel and dasatinib in castration-resistant PC. Parallel declines in levels of PSA and bone markers are consistent with cotargeting of epithelial and bone compartments of the cancer. Treatment with single-agent dasatinib following docetaxel cessation warrants further study. Cancer 2012;. © 2011 American Cancer Society. [ABSTRACT FROM AUTHOR]
Published: 2012
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24. Phase I study of concurrent weekly docetaxel and repeated samarium-153 lexidronam in patients with castration-resistant metastatic prostate cancer.

Author: Tu SM, Mathew P, Wong FC, Jones D, Johnson MM, Logothetis CJ, Tu, Shi-Ming, Mathew, Paul, Wong, Franklin C, Jones, Donnah, Johnson, Marcella M, and Logothetis, Christopher J
Published: 2009
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25. Phase III trial of androgen ablation with or without three cycles of systemic chemotherapy for advanced prostate cancer.

Author: Millikan RE, Wen S, Pagliaro LC, Brown MA, Moomey B, Do KA, Logothetis CJ, Millikan, Randall E, Wen, Sijin, Pagliaro, Lance C, Brown, Melissa A, Moomey, Brenda, Do, Kim-Anh, and Logothetis, Christopher J
Published: 2008
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26. Treatment of prostate cancer metastases: more than semantics.

Author: Logothetis CJ
Published: 2012
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27. Sterilized metastases: a diagnostic and therapeutic dilemma

Author: Libshitz, HI, primary, Jing, BS, additional, Wallace, S, additional, and Logothetis, CJ, additional
Published: 1983
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28. Pulmonary air cyst associated with combination chemotherapy containing bleomycin

Author: Sella, A, primary, Logothetis, CJ, additional, Dexeus, FH, additional, and Amato, R, additional
Published: 1989
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29. Letter to the editor

Author: Logothetis Cj
Subjects: Text mining, Oncology, Aggressive chemotherapy, business.industry, medicine, Cancer research, Germ cell tumors, medicine.disease, business
Published: 1987

30. Clonal expansion of CD8 T cells in the systemic circulation precedes development of ipilimumab-induced toxicities

Author: Subudhi, SK, primary, Aparicio, A, additional, Gao, J, additional, Zurita, AJ, additional, Araujo, JC, additional, Logothetis, CJ, additional, Tahir, SA, additional, Korivi, BR, additional, Slack, RS, additional, Vence, L, additional, Emerson, RO, additional, Yusko, E, additional, Vignali, M, additional, Robins, HS, additional, Sun, J, additional, Allison, JP, additional, and Sharma, P, additional
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31. Adjuvant Chemotherapy for Testicular Cancer

Author: Logothetis Cj
Subjects: Male, Oncology, medicine.medical_specialty, Adjuvant chemotherapy, business.industry, General Medicine, Neoplasms, Germ Cell and Embryonal, medicine.disease, Combined Modality Therapy, Text mining, Testicular Neoplasms, Internal medicine, medicine, Humans, business, Testicular cancer
Published: 1988

32. Chemotherapy for advanced prostate cancer: 25 years later.

Author: Logothetis CJ and Millikan R
Published: 2008

33. Doxorubicin, mitomycin-C, and 5-fluorouracil (DMF) in the treatment of metastatic hormonal refractory adenocarcinoma of the prostate, with a note on the staging of metastatic prostate cancer.

Author: Logothetis CJ, Samuels ML, von Eschenbach AC, Trindade A, Ogden S, Grant C, and Johnson DE
Published: 2008

34. Stem-cell origin of metastasis and heterogeneity in solid tumours.

Author: Tu S, Lin S, Logothetis CJ, Tu, Shi-Ming, Lin, Sue-Hwa, and Logothetis, Christopher J
Abstract: An explanation for the inherently metastatic and heterogeneous nature of cancers may be their derivation from distinct stem cells. The type of stem cell from which a neoplasm arises determines both the metastatic potential and the phenotypic diversity of that neoplasm. Hence, tumours originating from an early stem cell or its progenitor cells metastasise readily and have a more heterogeneous phenotype, whereas tumours originating from a later stem cell or its progenitor cells have limited metastatic potential and a more homogeneous phenotype. Further investigation of the role of stem cells in the development of cancer may lead to the discovery of novel diagnostic tools, prognostic markers, and therapeutic targets in the battle against cancer. [ABSTRACT FROM AUTHOR]
Published: 2002

35. Addition of estramustine to chemotherapy and survival of patients with castration-refractory prostate cancer: a meta-analysis of individual patient data.

Author: Fizazi K, Le Maitre A, Hudes G, Berry WR, Kelly WK, Eymard JC, Logothetis CJ, Pignon JP, Michiels S, and Meta-analysis of Estramustine in Prostate Cancer (MECaP) Trialists' Collaborative Group
Abstract: BACKGROUND: Estramustine phosphate is a mustard-oestradiol conjugate, and has hormonal and non-hormonal effects. In phase II trials of patients with cancer, response to microtubule inhibitors increases when these drugs are combined with estramustine. We aimed to assess whether combining estramustine with chemotherapy increases survival in patients with castration-refractory prostate cancer. METHODS: We systematically searched for randomised clinical trials that compared chemotherapy regimens with and without estramustine in patients with histologically-proven prostate cancer and were published between 1966 and 2004. Data from these studies were verified centrally and updated individual patient data were analysed. The primary endpoint was overall survival. Secondary endpoints were prostate-specific antigen (PSA) response, time to PSA progression, and toxicity. A Cox regression model that was stratified by trial and adjusted for covariates at baseline was used. FINDINGS: The initial search identified seven eligible trials that included 742 patients, from which data from five trials including 605 patients had been collected. Individual patient data from two trials (137 patients) were no longer available. The 605 patients had been accrued between Jan 1, 1993 and Dec 1, 2003 and randomly assigned to chemotherapy plus estramustine or to chemotherapy without estramustine. Chemotherapy (with or without estramustine) consisted of docetaxel, paclitaxel, ixabepilone, and vinblastine. Median follow-up was 2.8 years (range 0.0-3.4), and 510 deaths had occurred by the end of follow-up. Cox regression analysis stratified by trial showed that concentrations of serum haemoglobin (p<0.0001), use of chemotherapy plus estramustine (p=0.008), performance status (p=0.002), and serum PSA concentrations (p=0.04) were associated independently with overall survival. Overall survival was significantly better in patients assigned chemotherapy plus estramustine (adjusted hazard ratio [HR] 0.77 [95% CI 0.63-0.93], p=0.008). Estimated absolute increase in overall survival when estramustine was added to chemotherapy was 9.5% (SE 4.0) at 1 year after randomisation. We did not note a significant association between treatment effect on overall survival and age, concentration of serum haemoglobin, performance status, or serum PSA concentration. Patients who received chemotherapy plus estramustine had a better PSA response than those who received chemotherapy without estramustine (RR 0.53 [0.38-0.72], p<0.0001). Time to PSA progression was significantly longer in patients assigned chemotherapy plus estramustine than in those assigned chemotherapy without estramustine (HR 0.74 [0.58-0.94], p=0.01). Patients assigned chemotherapy and estramustine had more grade 3 or grade 4 thromboembolic events compared with those assigned chemotherapy without estramustine (12 of 271 vs 1 of 275). INTERPRETATION: In patients with castration-refractory prostate cancer, addition of estramustine to chemotherapy increases time to PSA progression and overall survival compared with chemotherapy without estramustine. However, this benefit should be balanced with the risk of increased thromboembolic events in patients who receive estramustine and chemotherapy in combination compared with chemotherapy without estramustine. [ABSTRACT FROM AUTHOR]
Published: 2007
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36. Treatment of refractory urothelial carcinoma with alternating paclitaxel, methotrexate, cisplatin (TMP) and 5-fluorouracil, alpha-interferon, cisplatin (FAP).

Author: Tu S, Millikan RE, Pagliaro LC, Daliani D, Papandreou CN, Kim J, Chen D, Williams DL, Logothetis CJ, Tu, Shi-Ming, Millikan, Randall E, Pagliaro, Lance C, Daliani, Danai, Papandreou, Christos N, Kim, Jeri, Chen, Dung-Tsa, Williams, Dallas L, and Logothetis, Christopher J
Abstract: We assessed the activity and safety of a biochemotherapy regimen in which courses of paclitaxel, methotrexate, and cisplatin were alternated with courses of 5-fluorouracil, alpha-interferon, and cisplatin in the treatment of refractory urothelial carcinoma. Forty patients were enrolled in the study. In the phase I portion, 15 patients were treated according to an escalating dosage regimen designed to determine the maximum tolerated dose. A total of 30 patients received treatment according to the maximum tolerated dose regimen: methotrexate (30 mg/m(2)) given iv on days 1 and 22; paclitaxel (175 mg/m(2)) given iv over 3 h on day 1; cisplatin (70 and 25 mg/m(2)) administered iv on days 1 and 22, respectively; 5-fluorouracil (400 mg/m(2)) given iv by continuous infusion daily for 5 days beginning on day 22; and alpha-interferon (4 mIU/m(2)) given SC daily for 5 days simultaneously with the 5-fluorouracil infusions. The regimen was repeated at 42-day intervals. The 40 treated patients had an overall response rate of 43%, a complete response rate of 18%, and a median survival time of 44 weeks. Most of the toxic effects were hematologic: Grade 4 neutropenia occurred in 30% of patients (12 patients) and Grade 3 thrombocytopenia in 20% (8 patients). Even though this alternating biochemotherapy regimen was active for patients with refractory urothelial carcinoma, its activity was not better than that of certain single cytotoxic agents. Furthermore, the complicated dosing schedule and toxic effects of the regimen precluded its routine use in the treatment of urothelial carcinoma. [ABSTRACT FROM AUTHOR]
Published: 2003

37. Treating refractory advanced or metastatic urothelial carcinoma with interleukin-2: a phase II study.

Author: Kim J, Millikan RE, Smith TL, Tu S, Pagliaro LC, Logothetis CJ, Kim, Jeri, Millikan, Randall E, Smith, Terry L, Tu, Shi Ming, Pagliaro, Lance C, and Logothetis, Christopher J
Abstract: Patients with refractory advanced or metastatic urothelial carcinoma derive only minor benefit from chemotherapy. Based on evidence that urothelial carcinoma may be associated with impaired immunological reactivity, we conducted a phase II trial of interleukin-2 (IL-2), a biologic response modifier, to assess its efficacy and toxicity in treating refractory advanced or metastatic urothelial carcinoma. Seventeen patients with urothelial carcinoma who had undergone no more than 1 cisplatin-containing chemotherapy regimen were treated with IL-2 at a dose of 3 × 106 IU/m2/day by continuous intravenous infusion for 4 consecutive days each week for 4 weeks. Cycles were to be repeated every 6 weeks until disease progression. Toxic effects could be assessed in all 17 patients and response in 13. The most common grade III and IV toxic effects included hypotension (13/17); anemia (6/17); thrombocytopenia (4/17); granulocytopenia (3/17); and, in 1 patient each, cardiac ischemia, bowel perforation, and an increase in creatinine level. One sudden death was assumed to be treatment related. Although we found no objective antitumor activity for IL-2, median patient survival was 10.5 months (95% confidence interval, 5.8 to 17.1 months), with a 15.9-month median survival for 3 patients with poor performance status and visceral metastases. Further clinical investigation of the biological effect of IL-2 in urothelial carcinoma may be warranted. [Copyright &y& Elsevier]
Published: 2003
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38. Management of patients with advanced prostate cancer: recommendations of the St Gallen Advanced Prostate Cancer Consensus Conference (APCCC) 2015

Author: Anwar R. Padhani, Susan Halabi, Avishay Sella, Stefano Fanti, Himisha Beltran, Bertrand Tombal, Rosalind A. Eeles, M. De Santis, Christopher Sweeney, David Olmos, Sten Nilsson, Charles G. Drake, Ian D. Davis, Matthew R. Smith, Nicholas D. James, Hideyuki Akaza, Oliver Sartor, Martin E. Gleave, Maha Hussain, Ken Mastris, Arul M. Chinnaiyan, Christopher J. Logothetis, Peter S. Nelson, Howard R. Soule, Gerhardt Attard, Hiroyoshi Suzuki, Jack A. Schalken, Gedske Daugaard, Chris Parker, Axel Heidenreich, Karim Fizazi, Ian F. Tannock, Silke Gillessen, Cora N. Sternberg, Tomasz M. Beer, Eleni Efstathiou, Mark A. Rubin, William Oh, Howard I. Scher, N. Shore, Frédéric Lecouvet, Aurelius Omlin, J.S. de Bono, Eric J. Small, Gillessen S, Omlin A, Attard G, de Bono JS, Efstathiou E, Fizazi K, Halabi S, Nelson PS, Sartor O, Smith MR, Soule HR, Akaza H, Beer TM, Beltran H, Chinnaiyan AM, Daugaard G, Davis ID, De Santis M, Drake CG, Eeles RA, Fanti S, Gleave ME, Heidenreich A, Hussain M, James ND, Lecouvet FE, Logothetis CJ, Mastris K, Nilsson S, Oh WK, Olmos D, Padhani AR, Parker C, Rubin MA, Schalken JA, Scher HI, Sella A, Shore ND, Small EJ, Sternberg CN, Suzuki H, Sweeney CJ, Tannock IF, Tombal B., UCL - SSS/IREC/CHEX - Pôle de chirgurgie expérimentale et transplantation, UCL - SSS/IREC/IMAG - Pôle d'imagerie médicale, UCL - (SLuc) Service de radiologie, and UCL - (SLuc) Service d'urologie
Subjects: Oncology, medicine.medical_specialty, medicine.medical_treatment, MEDLINE, Disease, RC0254, Prostate cancer, Internal medicine, Urological cancers Radboud Institute for Molecular Life Sciences [Radboudumc 15], therapeutics, medicine, castration-resistant prostate cancer, health care economics and organizations, Gynecology, business.industry, Prostatectomy, Consensus conference, Hematology, prostate cancer, medicine.disease, Clinical trial, Prostate-specific antigen, advanced prostate cancer, Annals, Docetaxel, consensus, Family medicine, Special Articles, Cancer biomarkers, business, castration-naïve prostate cancer, medicine.drug
Abstract: The first St Gallen Advanced Prostate Cancer Consensus Conference (APCCC) Expert Panel identified and reviewed available evidence for the ten most important areas of controversy in advanced prostate cancer management. Recommendations based on expert opinion are presented. Detailed decisions on treatment will involve clinical consideration of disease extent and location, prior treatments, host factors, patient preferences and logistical and economic constraints., The first St Gallen Advanced Prostate Cancer Consensus Conference (APCCC) Expert Panel identified and reviewed the available evidence for the ten most important areas of controversy in advanced prostate cancer (APC) management. The successful registration of several drugs for castration-resistant prostate cancer and the recent studies of chemo-hormonal therapy in men with castration-naïve prostate cancer have led to considerable uncertainty as to the best treatment choices, sequence of treatment options and appropriate patient selection. Management recommendations based on expert opinion, and not based on a critical review of the available evidence, are presented. The various recommendations carried differing degrees of support, as reflected in the wording of the article text and in the detailed voting results recorded in supplementary Material, available at Annals of Oncology online. Detailed decisions on treatment as always will involve consideration of disease extent and location, prior treatments, host factors, patient preferences as well as logistical and economic constraints. Inclusion of men with APC in clinical trials should be encouraged.
Published: 2015
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39. Body composition in recurrent prostate cancer and the role of steroidogenic genotype.

Author: Venkatesh N, Tidwell RS, Yu Y, Aparicio A, Zurita AJ, Subudhi SK, Siddiqui BA, Mukhida SS, Gregg JR, Corn PG, Koutroumpakis E, McQuade JL, Frigo DE, Pilie PG, Huff C, Logothetis CJ, and Hahn AW
Subjects: Humans, Male, Aged, Middle Aged, Genotype, Neoplasm Recurrence, Local genetics, Retrospective Studies, 3-Oxo-5-alpha-Steroid 4-Dehydrogenase genetics, Abiraterone Acetate therapeutic use, Polymorphism, Single Nucleotide, Aged, 80 and over, Membrane Proteins, Prostatic Neoplasms genetics, Prostatic Neoplasms drug therapy, Prostatic Neoplasms pathology, Body Composition
Abstract: Hormone therapy (HT) to treat prostate cancer is reported to cause adverse changes in body composition. Clinically, interpatient body composition changes are heterogeneous, but the biological and clinical determinants of body composition toxicity are unknown. Herein, we test the hypothesis that inherited polymorphisms in steroidogenic genes are associated with differential changes in body composition after HT. Men with biochemically recurrent prostate cancer (BCR) who received 8 months of LHRH analog (LHRHa) +/- abiraterone acetate (AAP) were eligible if they had: i) CT imaging of L3 prior to and after treatment; and ii) nucleated cells collected. Cardiometabolic co-morbidities were retrospectively extracted. Body composition was measured using an AI-based segmentation tool. Germline DNA whole exome or genome sequencing was performed. In 162 men treated with 8 months of HT, median skeletal muscle mass (SMMi) loss was 6.6% and subcutaneous adipose gain was 12.3%. Men with type 2 diabetes had higher losses of SMMi after treatment (-11.1% vs -6.3%, P = 0.003). For the 150 men with germline NGS, SRD5A2 rs523349 genotype was associated with differential loss in skeletal muscle density after HT, (-1.3% vs -7.1%, P = 0.04). In addition, the HSD3B1 rs104703 genotype was associated with decreased baseline visceral adipose tissue (63.0 cm2/m2 vs 77.9, P = 0.05). In men with BCR, HT induced notable loss of skeletal muscle and increased subcutaneous adipose tissue. An inherited polymorphism in SRD5A2 and T2DM was associated with differential skeletal muscle toxicity. These findings suggest that inherited polymorphisms may contribute to the body composition toxicity observed with HT.
Published: 2024
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40. A phase II trial of apalutamide for intermediate-risk prostate cancer and molecular correlates.

Author: Hahn AW, Manyam GC, Chapin BF, Zhang M, Yu Y, Pettaway CA, Chery L, Pisters LL, Ward JF, Gregg JR, Papadopoulos J, Kamat AM, Lozano M, Hoang A, Broom B, Wang X, Huff CD, Logothetis CJ, Troncoso P, Pilié PG, and Davis JW
Subjects: Humans, Male, Middle Aged, Aged, Thiohydantoins therapeutic use, Prostatic Neoplasms pathology, Prostatic Neoplasms drug therapy, Prostatectomy
Abstract: Objectives: To determine whether 6 months of preoperative apalutamide for intermediate-risk prostate cancer (IRPCa) reduces the aggregate postoperative radiotherapy risk and to evaluate associations of molecular perturbations with clinical outcomes in this study cohort., Patients and Methods: Between May 2018 and February 2020, eligible patients with IRPCa (Gleason 3 + 4 or 4 + 3 and clinical T2b-c or prostate-specific antigen level of 10-20 ng/mL) were treated with apalutamide 240 mg/day for 6 months followed by radical prostatectomy (RP) in this single-arm, phase II trial. The primary endpoint was presence of any adverse pathological feature at risk of pelvic radiation (pathological T stage after neoadjuvant therapy [yp]T3 or ypN1 or positive surgical margins). Translational studies, including germline and somatic DNA alterations and RNA and protein expression, were performed on post-apalutamide RP specimens, and assessed for associations with clinical outcomes., Results: A total of 40 patients underwent a RP, and only one patient discontinued apalutamide prior to 6 months. In all, 40% had adverse pathological features at time of RP, and the 3-year biochemical recurrence (BCR) rate was 15%, with 27.5% being not evaluable. Genomic alterations frequently seen in metastatic PCas, such as androgen receptor (AR), tumour protein p53 (TP53), phosphatase and tensin homologue (PTEN), or BReast CAncer associated gene (BRCA1/2) were underrepresented in this localised cohort. Adverse pathological features and BCR at 3-years were associated with increased expression of select cell cycle (e.g., E2F targets: adjusted P value [P adj ] < 0.001, normalised enrichment score [NES] 2.47) and oxidative phosphorylation (P adj < 0.001, NES 1.62) pathways., Conclusions: Preoperative apalutamide did not reduce the aggregate postoperative radiation risk to the pre-specified threshold in unselected men with IRPCa. However, transcriptomic analysis identified key dysregulated pathways in tumours associated with adverse pathological outcomes and BCR, which warrant future study. Further investigation of preoperative therapy is underway for men with high-risk PCa., (© 2024 BJU International.)
Published: 2024
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41. Prostate cancer-induced endothelial-cell-to-osteoblast transition drives immunosuppression in the bone-tumor microenvironment through Wnt pathway-induced M2 macrophage polarization.

Author: Yu G, Corn PG, Mak CSL, Liang X, Zhang M, Troncoso P, Song JH, Lin SC, Song X, Liu J, Zhang J, Logothetis CJ, Melancon MP, Panaretakis T, Wang G, and Lin SH
Subjects: Male, Humans, Animals, Mice, Prostatic Neoplasms, Castration-Resistant immunology, Prostatic Neoplasms, Castration-Resistant pathology, Prostatic Neoplasms, Castration-Resistant metabolism, Cell Line, Tumor, Prostatic Neoplasms pathology, Prostatic Neoplasms immunology, Prostatic Neoplasms metabolism, Tumor-Associated Macrophages metabolism, Tumor-Associated Macrophages immunology, Tumor Microenvironment immunology, Bone Neoplasms immunology, Bone Neoplasms secondary, Bone Neoplasms pathology, Bone Neoplasms metabolism, Wnt Signaling Pathway, Macrophages metabolism, Macrophages immunology, Endothelial Cells metabolism, Endothelial Cells immunology, Osteoblasts metabolism, Osteoblasts immunology
Abstract: Immune checkpoint therapy has limited efficacy for patients with bone-metastatic castration-resistant prostate cancer (bmCRPC). To improve immunotherapy for bmCRPC, we aimed to identify the mechanism of bmCRPC-induced changes in the immune microenvironment. Among bmCRPC patients, higher levels of a 32-gene M2-like macrophage signature in bone metastasis samples correlated with shorter overall survival. Immunohistochemistry showed that CD206-positive (CD206 + ) macrophages were enriched in bmCRPC bone biopsy specimens compared with primary tumors or lymph node metastases. In preclinical osteogenic prostate cancer (Pca) xenograft models, CD206 + macrophages were recruited to areas with tumor-induced bone. RNA sequencing (RNAseq) analysis showed higher expression of an M2-like gene signature, with activated canonical and noncanonical Wnt pathways, in tumor-associated macrophages isolated from osteogenic tumors (bone-TAMs) than in TAMs isolated from nonosteogenic tumors (ctrl-TAMs). Mechanistic studies showed that endothelial cells (ECs) that had undergone EC-to-osteoblast (EC-to-OSB) transition, the precursors of tumor-induced OSBs, produced paracrine factors, including Wnts, CXCL14, and lysyl oxidase, which induced M2 polarization and recruited M2-like TAMs to the bone-tumor microenvironment (bone-TME). Bone-TAMs suppressed CD8 + T cells' proliferation and cytolytic activity, and these effects were partially reversed by treating bone-TAMs with Wnt inhibitors. Genetic or pharmacological inhibition of Pca-induced EC-to-OSB transition reduced the levels of M2-like macrophages in osteogenic tumors. Our study demonstrates that Pca-induced EC-to-OSB transition drives immunosuppression in the bone-TME, suggesting that therapies that reduce Pca-induced bone formation may improve immunotherapeutic outcomes for bmCRPC., Competing Interests: Competing interests statement:The authors declare no competing interest.
Published: 2024
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42. Associations of SGLT-2i with Cardiorenal Outcomes Among Diabetics with Prostate Cancer on Hormone Therapy.

Author: Koutroumpakis E, Patel R, Khadke S, Bedrosian A, Kumar A, Kong Y, Connell B, Upadhyay J, Dani SS, Hahn AW, Logothetis CJ, Al-Kindi S, Butler J, Nohria A, Ganatra S, and Deswal A
Abstract: Background: Studies have reported associations between prostate cancer, type II diabetes mellitus (T2DM) and cardiovascular disease in the context of treatment with hormone therapy (HT). This study aimed to assess the role of Sodium-Glucose Cotransporter-2 Inhibitors (SGLT2i) in preventing adverse cardiovascular and renal outcomes in diabetics with prostate cancer., Methods: Patients ≥ 18 years of age with T2DM and prostate cancer who received HT between August 1, 2013, and August 31, 2021, were identified using the TriNetX research network. Patients were divided into two cohorts based on treatment with SGLT2i or alternative antidiabetic therapies. The primary outcome was the composite of all-cause mortality, new onset heart failure (HF), acute myocardial infarction (MI), and peripheral artery disease over two years from HT initiation., Results: After propensity score matching, 2,155 patients remained in each cohort. The primary composite outcome occurred in 218 patients (16.1%) in the SGLT2i cohort versus 355 patients (26.3%) in the non-SGLT2i cohort (HR 0.689, 95% CI 0.582-0.816; p < 0.001). Furthermore, SGLT2i were associated with significantly lower odds of HF, HF exacerbation, peripheral artery disease, atrial fibrillation/flutter, cardiac arrest, need for renal replacement therapy, overall emergency room visits/hospitalizations and all-cause mortality., Conclusions: Use of SGLT2i for the treatment of T2DM among patients with prostate cancer on HT is associated with favorable cardiovascular, renal and all-cause mortality outcomes. This observation supports the hypothesis that a therapeutically relevant link exists between HT and cardiovascular disease in the context of prostate cancer., Competing Interests: Conflicts of Interest/Competing Interests: EK is supported in part by NIH/NCI 1RO1HL157273 and by CPRIT RP200381. AD is supported in part by the Ting Tsung and Wei Fong Chao Distinguished Chair and is a consultant for Bayer. JB is consultant for Abbott, American Regent, Amgen, Applied Therapeutic, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, Cardiac Dimension, Cardior, CVRx, Cytokinetics, Edwards, Element Science, Innolife, Impulse Dynamics, Imbria, Inventiva, Lexicon, Lilly, LivaNova, Janssen, Medtronics, Merck, Occlutech, Novartis, Novo Nordisk, Pfizer, Pharmacosmos, Pharmain, Roche, Sequana, SQ Innovation, and Vifor. AWH is consultant for Janssen, Intellisphere, Exelixis, has received honoraria from Medscape, Binaytara Foundation, travel support from Dava Oncology and institutional funding from Bayer and Eisai. The remaining authors have nothing to disclose.
Published: 2024
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43. Radium-223 Treatment Produces Prolonged Suppression of Resident Osteoblasts and Decreased Bone Mineral Density in Trabecular Bone in Osteoblast Reporter Mice.

Author: Lin SC, Yu G, Corn PG, Damasco J, Lee YC, Song JH, Navone NM, Logothetis CJ, Melancon MP, Panaretakis T, and Lin SH
Abstract: Radium 223 (Ra-223) is an α-emitting bone-homing radiopharmaceutical that targets tumor-induced osteoblasts and is used to reduce bone pain and prolong overall survival in men with bone-metastatic, castrate-resistant prostate cancer. However, increased fracture risk in skeletal sites with no bone metastasis has been observed in patients treated with Ra-223. Both luciferase- or green fluorescence protein (GFP)-labeled osteoblast reporter mice were used to monitor the effect of Ra-223 on resident osteoblasts and normal bone structure. Upon Ra-223 treatment, 70% of resident osteoblasts were reduced within 2 days, and the osteoblast reduction lasted for at least 18 weeks without detectable recovery, as measured by in vivo bioluminescent imaging. In GFP-labeled osteoblast reporter mice, Ra-223 mainly reduced osteoblasts localized in the trabecular bone areas; the osteoblasts in the growth plates were less affected. Micro-computed tomography analyses showed that Ra-223 significantly reduced bone mineral density and bone microstructure in the trabecular area of femurs but not in the cortical bone. Tumor-induced bone was generated by inoculating osteogenic TRAMP-BMP4 prostate cancer cells into the mouse femurs; Ra-223 treatment significantly reduced tumor-induced osteoblasts. Our study shows that Ra-223 affects bone structures that are not involved in bone metastasis. Strategies that improve bone health may reduce fracture risk in patients receiving Ra-223.
Published: 2024
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44. Body composition as a determinant of the therapeutic index with androgen signaling inhibition.

Author: Hahn AW, Tidwell RS, Pilie PG, Yu Y, Liu J, Surasi DS, Titus M, Zhang J, Venkatesh N, Panaretakis T, Gregg JR, Zurita AJ, Siddiqui BA, Corn PG, Subudhi SK, Msaouel P, Koutroumpakis E, Huff CD, Aparicio A, McQuade JL, Frigo DE, and Logothetis CJ
Abstract: Background: Androgen signaling is central to prostate cancer and men's health. Prior data indicates that increasing body fat is unfavorable in the localized setting yet associated with favorable outcomes in men with metastatic disease. Understanding the biological links between adiposity and prostate cancer may optimize the therapeutic index with ASI. We hypothesized that host adiposity and androgen synthesis are linked to the efficacy and toxicity of ASI for men with metastatic castration-resistant prostate cancer (mCRPC)., Methods: A post-hoc analysis was done of NCT02703623 where men with mCRPC (n = 186) were treated for 8 weeks with abiraterone acetate, prednisone, and apalutamide (AAPA), and a satisfactory response was defined as a PSA decline >50%. Body composition was measured on baseline CT scans. Germline DNA WES was performed with a focus on variants in steroidogenic genes. Adipokine levels were measured in pre-treatment plasma., Results: Germline polymorphisms in 3 genes involved in androgen synthesis (AKR1C3 rs12529, CYP17A1 rs6162, SRD5A2 rs523349) were associated with differences in body composition at baseline on ADT alone (prior to receipt of AAPA). Elevated subcutaneous adipose tissue index (SATi, p = 0.02), visceral adipose tissue index (VATi, p = 0.03), and BMI (p = 0.04) were associated with satisfactory response to AAPA. Leptin had positive correlation with VATi (r = 0.47) and SATi (r = 0.48)., Conclusion: Inherited polymorphisms in androgen synthesis correlated with differences in body composition after exposure to ADT and warrant further investigation as candidate markers for body composition toxicity. Elevated subcutaneous and visceral adiposity were associated with improved response to ASI., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)
Published: 2024
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45. A Modular Trial of Androgen Signaling Inhibitor Combinations Testing a Risk-Adapted Strategy in Patients with Metastatic Castration-Resistant Prostate Cancer.

Author: Aparicio AM, Tidwell RSS, Yadav SS, Chen JS, Zhang M, Liu J, Guo S, Pilié PG, Yu Y, Song X, Vundavilli H, Jindal S, Zhu K, Viscuse PV, Lebenthal JM, Hahn AW, Soundararajan R, Corn PG, Zurita-Saavedra A, Subudhi SK, Zhang J, Wang W, Huff C, Troncoso P, Allison JP, Sharma P, and Logothetis CJ
Subjects: Humans, Male, Aged, Middle Aged, Thiohydantoins administration & dosage, Thiohydantoins therapeutic use, Thiohydantoins adverse effects, Aged, 80 and over, Androgen Antagonists therapeutic use, Carboplatin administration & dosage, Carboplatin therapeutic use, Ipilimumab administration & dosage, Ipilimumab therapeutic use, Taxoids, Prostatic Neoplasms, Castration-Resistant drug therapy, Prostatic Neoplasms, Castration-Resistant pathology, Prostatic Neoplasms, Castration-Resistant mortality, Prostatic Neoplasms, Castration-Resistant genetics, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Antineoplastic Combined Chemotherapy Protocols adverse effects, Prednisone administration & dosage, Prednisone therapeutic use, Abiraterone Acetate therapeutic use, Abiraterone Acetate administration & dosage
Abstract: Purpose: To determine the efficacy and safety of risk-adapted combinations of androgen signaling inhibitors and inform disease classifiers for metastatic castration-resistant prostate cancers., Patients and Methods: In a modular, randomized phase II trial, 192 men were treated with 8 weeks of abiraterone acetate, prednisone, and apalutamide (AAPA; module 1) and then allocated to modules 2 or 3 based on satisfactory (≥50% PSA decline from baseline and <5 circulating tumor cell/7.5 mL) versus unsatisfactory status. Men in the former were randomly assigned to continue AAPA alone (module 2A) or with ipilimumab (module 2B). Men in the latter group had carboplatin + cabazitaxel added to AAPA (module 3). Optional baseline biopsies were subjected to correlative studies., Results: Median overall survival (from allocation) was 46.4 [95% confidence interval (CI), 39.2-68.2], 41.4 (95% CI, 33.3-49.9), and 18.7 (95% CI, 14.3-26.3) months in modules 2A (n = 64), 2B (n = 64), and 3 (n = 59), respectively. Toxicities were within expectations. Of 192 eligible patients, 154 (80.2%) underwent pretreatment metastatic biopsies. The aggressive-variant prostate cancer molecular profile (defects in ≥2 of p53, RB1, and PTEN) was associated with unsatisfactory status. Exploratory analyses suggested that secreted phosphoprotein 1-positive and insulin-like growth factor-binding protein 2-positive macrophages, druggable myeloid cell markers, and germline pathogenic mutations were enriched in the unsatisfactory group., Conclusions: Adding ipilimumab to AAPA did not improve outcomes in men with androgen-responsive metastatic castration-resistant prostate cancer. Despite the addition of carboplatin + cabazitaxel, men in the unsatisfactory group had shortened survivals. Adaptive designs can enrich for biologically and clinically relevant disease subgroups to contribute to the development of marker-informed, risk-adapted therapy strategies in men with prostate cancer., (©2024 American Association for Cancer Research.)
Published: 2024
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46. Reply to Richard J. Wassersug, Paul F. Schellhammer, and Erik Wibowo's Letter to the Editor re: Christoper J. Logothetis, Andrew W. Hahn. Challenging the Prevailing Therapeutic Dogma for Prostate Cancer: The Case for an Overlap Syndrome. Eur Urol 2024;85:3-7.

Author: Logothetis CJ and Hahn AW
Subjects: Humans, Male, Prostatic Neoplasms surgery, Prostatic Neoplasms therapy
Published: 2024
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47. Integrative Molecular Analyses of the MD Anderson Prostate Cancer Patient-derived Xenograft (MDA PCa PDX) Series.

Author: Anselmino N, Labanca E, Shepherd PDA, Dong J, Yang J, Song X, Nandakumar S, Kundra R, Lee C, Schultz N, Zhang J, Araujo JC, Aparicio AM, Subudhi SK, Corn PG, Pisters LL, Ward JF, Davis JW, Vazquez ES, Gueron G, Logothetis CJ, Futreal A, Troncoso P, Chen Y, and Navone NM
Subjects: Humans, Male, Animals, Mice, Xenograft Model Antitumor Assays, Biomarkers, Tumor genetics, Heterografts, Gene Expression Regulation, Neoplastic, Gene Expression Profiling, Prostatic Neoplasms genetics, Prostatic Neoplasms pathology
Abstract: Purpose: Develop and deploy a robust discovery platform that encompasses heterogeneity, clinical annotation, and molecular characterization and overcomes the limited availability of prostate cancer models. This initiative builds on the rich MD Anderson (MDA) prostate cancer (PCa) patient-derived xenograft (PDX) resource to complement existing publicly available databases by addressing gaps in clinically annotated models reflecting the heterogeneity of potentially lethal and lethal prostate cancer., Experimental Design: We performed whole-genome, targeted, and RNA sequencing in representative samples of the same tumor from 44 PDXs derived from 38 patients linked to donor tumor metadata and corresponding organoids. The cohort includes models derived from different morphologic groups, disease states, and involved organ sites (including circulating tumor cells), as well as paired samples representing heterogeneity or stages before and after therapy., Results: The cohort recapitulates clinically reported alterations in prostate cancer genes, providing a data resource for clinical and molecular interrogation of suitable experimental models. Paired samples displayed conserved molecular alteration profiles, suggesting the relevance of other regulatory mechanisms (e.g., epigenomic) influenced by the microenvironment and/or treatment. Transcriptomically, models were grouped on the basis of morphologic classification. DNA damage response-associated mechanisms emerged as differentially regulated between adenocarcinoma and neuroendocrine prostate cancer in a cross-interrogation of PDX/patient datasets., Conclusions: We addressed the gap in clinically relevant prostate cancer models through comprehensive molecular characterization of MDA PCa PDXs, providing a discovery platform that integrates with patient data and benchmarked to therapeutically relevant consensus clinical groupings. This unique resource supports robust hypothesis generation and testing from basic, translational, and clinical perspectives., (©2024 The Authors; Published by the American Association for Cancer Research.)
Published: 2024
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48. Bone mimetic environments support engineering, propagation, and analysis of therapeutic response of patient-derived cells, ex vivo and in vivo.

Author: Paindelli C, Parietti V, Barrios S, Shepherd P, Pan T, Wang WL, Satcher RL, Logothetis CJ, Navone N, Campbell MT, Mikos AG, and Dondossola E
Subjects: Male, Humans, Xenograft Model Antitumor Assays, Bone and Bones pathology, Osteoblasts pathology, Bone Neoplasms therapy, Bone Neoplasms secondary, Prostatic Neoplasms pathology
Abstract: Bone metastases are the most common milestone in the lethal progression of prostate cancer and prominent in a substantial portion of renal malignancies. Interactions between cancer and bone host cells have emerged as drivers of both disease progression and therapeutic resistance. To best understand these central host-epithelial cell interactions, biologically relevant preclinical models are required. To achieve this goal, we here established and characterized tissue-engineered bone mimetic environments (BME) capable of supporting the growth of patient-derived xenograft (PDX) cells, ex vivo and in vivo. The BME consisted of a polycaprolactone (PCL) scaffold colonized by human mesenchymal stem cells (hMSCs) differentiated into osteoblasts. PDX-derived cells were isolated from bone metastatic prostate or renal tumors, engineered to express GFP or luciferase and seeded onto the BMEs. BMEs supported the growth and therapy response of PDX-derived cells, ex vivo. Additionally, BMEs survived after in vivo implantation and further sustained the growth of PDX-derived cells, their serial transplant, and their application to study the response to treatment. Taken together, this demonstrates the utility of BMEs in combination with patient-derived cells, both ex vivo and in vivo. STATEMENT OF SIGNIFICANCE: Our tissue-engineered BME supported the growth of patient-derived cells and proved useful to monitor the therapy response, both ex vivo and in vivo. This approach has the potential to enable co-clinical strategies to monitor bone metastatic tumor progression and therapy response, including identification and prioritization of new targets for patient treatment., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Eleonora Dondossola reports financial support was provided by The Prostate Cancer SPORE (P50 CA140388–07). Eleonora Dondossola reports financial support and equipment, drugs, or supplies were provided by Bayer HealthCare Pharmaceuticals (57440)., (Copyright © 2024 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.)
Published: 2024
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49. Phase I Study of ORIC-101, a Glucocorticoid Receptor Antagonist, in Combination with Enzalutamide in Patients with Metastatic Castration-resistant Prostate Cancer Progressing on Enzalutamide.

Author: Abida W, Hahn AW, Shore N, Agarwal N, Sieber P, Smith MR, Dorff T, Monk P, Rettig M, Patel R, Page A, Duff M, Xu R, Wang J, Barkund S, Pankov A, Wang A, Junttila MR, Multani PS, Daemen A, Chow Maneval E, Logothetis CJ, and Morris MJ
Subjects: Male, Humans, Receptors, Glucocorticoid, Phenylthiohydantoin, Benzamides therapeutic use, Nitriles therapeutic use, Antineoplastic Agents, Hormonal therapeutic use, Prostatic Neoplasms, Castration-Resistant pathology
Abstract: Purpose: Increased glucocorticoid receptor (GR) signaling is a proposed compensatory mechanism of resistance to androgen receptor (AR) inhibition in metastatic castration-resistant prostate cancer (mCRPC). ORIC-101 is a potent and selective orally-bioavailable GR antagonist., Patients and Methods: Safety, pharmacokinetic/pharmacodynamic, and antitumor activity of ORIC-101 in combination with enzalutamide were studied in patients with mCRPC progressing on enzalutamide. ORIC-101 doses ranging from 80 to 240 mg once daily were tested in combination with enzalutamide 160 mg once daily. Pharmacokinetics/pharmacodynamics was assessed after a single dose and at steady state. Disease control rate (DCR) at 12 weeks was evaluated at the recommended phase 2 dose (RP2D)., Results: A total of 41 patients were enrolled. There were no dose-limiting toxicities and the RP2D was selected as 240 mg of ORIC-101 and 160 mg of enzalutamide daily. At the RP2D, the most common treatment-related adverse events were fatigue (38.7%), nausea (29.0%), decreased appetite (19.4%), and constipation (12.9%). Pharmacokinetic/pharmacodynamic data confirmed ORIC-101 achieved exposures necessary for GR target engagement. Overall, for 31 patients treated at the RP2D, there was insufficient clinical benefit based on DCR (25.8%; 80% confidence interval: 15.65-38.52) which did not meet the prespecified target rate, leading to termination of the study. Exploratory subgroup analyses based on baseline GR expression, presence of AR resistance variants, and molecular features of aggressive variant prostate cancer suggested possible benefit in patients with high GR expression and no other resistance markers, although this would require confirmation., Conclusions: Although the combination of ORIC-101 and enzalutamide demonstrated an acceptable tolerability profile, GR target inhibition with ORIC-101 did not produce clinical benefit in men with metastatic prostate cancer resistant to enzalutamide., (©2024 American Association for Cancer Research.)
Published: 2024
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50. Challenging the Prevailing Therapeutic Dogma for Prostate Cancer: The Case for an Overlap Syndrome.

Author: Logothetis CJ and Hahn AW
Subjects: Male, Humans, Syndrome, Prostatic Neoplasms
Abstract: There is a need to understand what accounts for the modest impact of therapy on overall survival among men with potentially lethal prostate cancer. Given converging lines of evidence, we hypothesize that in a subset of men, prostate cancer is part of an "overlap syndrome" of age-related illnesses with shared biologic vulnerability., (Copyright © 2023 European Association of Urology. Published by Elsevier B.V. All rights reserved.)
Published: 2024
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