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5. How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis

Author

N’Dow, J., Smith, E.J., Shepherd, R., Ribal, M., Mottet, N., Moris, L., Lardas, M., Willemse, P-P., Gandaglia, G., Campi, R., Nicoletti, Rossella, Gacci, M., Briganti, A., Ratti, M.M., Alleva, E., Leardini, L., Sisca, E.S., Bangma, R., Roobol, M., Remmers, S., Tilki, D., Visakorpi, T., Talala, K., Tammela, T., van Hemelrijck, M., Bayer, K., Lejeune, S., Byrne, S., Fialho, L., De Meulder, P. Palaiologou B., Auffray, C., Hijazy, A., Power, S., Kermani, N. Zounemat, van Bochove, K., Kalafati, M., Moinat, M., Voss, E., Horgan, D., Fullwood, L., Holtorf, M., Lancet, D., Bernstein, G., Omar, I., MacLennan, S., Maclennan, S., Tripathee, S., Wirth, M., Froehner, M., Brenner, B., Borkowetz, A., Thomas, C., Horn, F., Reiche, K., Kreux, M., Josefsson, A., Tandefekt, D. Gasi, Hugosson, J., Huisman, H., Schalken, J., Hofmacher, T., Lindgren, P., Andersson, E., Fridhammar, A., Zong, J., Butler-Ransohoff, J-E., Herrera, R., Maass, M., Torremante, P., Voss, M.D., Devecseri, Z., Abbott, T., Dau, C., Papineni, K., Snijder, R., Lambrecht, M., Wolfinger, R., Rogiers, S., Servan, A., Antoni, L., Pacoe, K., Robinson, P., Jaton, B., Bakkard, D., Turunen, H., Kilkku, O., Pohjanjousi, P., Voima, O., Nevalaita, L., Reich, C., Araujo, S., Longden-Chapman, E., Burke, D., Agapow, P., Derkits, S., Licour, M., McCrea, C., Payne, S., Yong, A., Thompson, L., Mare, S. Le, Bussmann, M, Kotik, D., Siltari, Aino, Lönnerbro, Ragnar, Pang, Karl, Shiranov, Kirill, Asiimwe, Alex, Evans-Axelsson, Susan, Franks, Billy, Kiran, Amit, Murtola, Teemu J., Schalken, Jack, Steinbeisser, Carl, Bjartell, Anders, and Auvinen, Anssi

Published
2023
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6. Charlson Comorbidity Index Based On Hospital Episode Statistics Performs Adequately In Predicting Mortality, But Its Discriminative Ability Diminishes Over Time

Author

Pylväläinen J, Talala K, Murtola T, Taari K, Raitanen J, Tammela TL, and Auvinen A

Subjects
mortality, comorbidity, follow-up studies, hospitalization/statistics and numerical data, Drug Prescriptions /statistics and numerical data, confounding factors (Epidemiology), Infectious and parasitic diseases, RC109-216
Abstract

Juho Pylväläinen,1–3 Kirsi Talala,4 Teemu Murtola,5–7 Kimmo Taari,8 Jani Raitanen,1,9 Teuvo L Tammela,6 Anssi Auvinen1 1Tampere University, Faculty of Social Sciences (Health Sciences), Tampere, Finland; 2Helsinki University, Faculty of Medicine, Department of Diagnostics and Therapeutics, Helsinki, Finland; 3Helsinki University Central Hospital, Medical Imaging Center, Helsinki, Finland; 4Cancer Society of Finland, Finnish Cancer Registry, Mass Screening Registry, Helsinki, Finland; 5Tampere University, Faculty of Medicine and Health Technology, Prostate Cancer Research Center, Tampere, Finland; 6Tampere University Hospital, Department of Urology, Tampere, Finland; 7Seinäjoki Central Hospital, Department of Surgery, Seinäjoki, Finland; 8University of Helsinki and Helsinki University Hospital, Department of Urology, Helsinki, Finland; 9UKK Institute for Health Promotion Research, Tampere, FinlandCorrespondence: Juho PylväläinenHelsinki University Central Hospital, Medical Imaging Center, Haartmaninkatu 3, PO Box 180, 00029, Helsinki, Uusimaa, FinlandTel +358 503239286Email juho.pylvalainen@hus.fiPurpose: To evaluate the performance of Charlson Comorbidity Index (CCI) calculated using hospitalization and medication reimbursement databases in predicting mortality.Patients and methods: Information on hospitalizations was obtained from the national Care Register for Health Care (HILMO) and on medication reimbursements and entitlements for special reimbursements for medications from the Social Insurance Institution for 77,440 men aged 56–71 years at baseline. The subjects were followed up for mortality via Statistics Finland with 20,562 deaths during a 13-year follow-up.Results: Compared to a CCI score of 0, the age-adjusted hazard ratio for all-cause mortality associated with HILMO-based CCI scores of 1, 2 and 3 or more were 2.39 (95% CI 2.29–2.49), 2.96 (95% CI 2.81–3.13) and 6.42 (95% CI 5.95–6.93) at 13 years. The C-statistic was 0.72 at 1, 0.68 at 5 and 0.66 at 13 years, with only minor improvement over age alone (0.10, 0.06 and 0.04 accordingly). Addition of medication data did not improve predictive abilities and medication-based CCI performed poorly on its own.Conclusion: The hospitalization-based CCI, as well as that based on both databases, predicts relative mortality adequately, but its discriminative ability diminishes over time. Conditions related to hospitalizations affect survival more than medications.Keywords: mortality, comorbidity, follow-up studies, hospitalization/statistics and numerical data, drug prescriptions/statistics and numerical data, confounding factors

Published
2019

7. How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis

Author

Siltari, Aino, primary, Lönnerbro, Ragnar, additional, Pang, Karl, additional, Shiranov, Kirill, additional, Asiimwe, Alex, additional, Evans-Axelsson, Susan, additional, Franks, Billy, additional, Kiran, Amit, additional, Murtola, Teemu J., additional, Schalken, Jack, additional, Steinbeisser, Carl, additional, Bjartell, Anders, additional, Auvinen, Anssi, additional, N’Dow, J., additional, Smith, E.J., additional, Shepherd, R., additional, Ribal, M., additional, Mottet, N., additional, Moris, L., additional, Lardas, M., additional, Willemse, P-P., additional, Gandaglia, G., additional, Campi, R., additional, Nicoletti, Rossella, additional, Gacci, M., additional, Briganti, A., additional, Ratti, M.M., additional, Alleva, E., additional, Leardini, L., additional, Sisca, E.S., additional, Bangma, R., additional, Roobol, M., additional, Remmers, S., additional, Tilki, D., additional, Visakorpi, T., additional, Talala, K., additional, Tammela, T., additional, van Hemelrijck, M., additional, Bayer, K., additional, Lejeune, S., additional, Byrne, S., additional, Fialho, L., additional, De Meulder, P. Palaiologou B., additional, Auffray, C., additional, Hijazy, A., additional, Power, S., additional, Kermani, N. Zounemat, additional, van Bochove, K., additional, Kalafati, M., additional, Moinat, M., additional, Voss, E., additional, Horgan, D., additional, Fullwood, L., additional, Holtorf, M., additional, Lancet, D., additional, Bernstein, G., additional, Omar, I., additional, MacLennan, S., additional, Maclennan, S., additional, Tripathee, S., additional, Wirth, M., additional, Froehner, M., additional, Brenner, B., additional, Borkowetz, A., additional, Thomas, C., additional, Horn, F., additional, Reiche, K., additional, Kreux, M., additional, Josefsson, A., additional, Tandefekt, D. Gasi, additional, Hugosson, J., additional, Huisman, H., additional, Schalken, J., additional, Hofmacher, T., additional, Lindgren, P., additional, Andersson, E., additional, Fridhammar, A., additional, Zong, J., additional, Butler-Ransohoff, J-E., additional, Herrera, R., additional, Maass, M., additional, Torremante, P., additional, Voss, M.D., additional, Devecseri, Z., additional, Abbott, T., additional, Dau, C., additional, Papineni, K., additional, Snijder, R., additional, Lambrecht, M., additional, Wolfinger, R., additional, Rogiers, S., additional, Servan, A., additional, Antoni, L., additional, Pacoe, K., additional, Robinson, P., additional, Jaton, B., additional, Bakkard, D., additional, Turunen, H., additional, Kilkku, O., additional, Pohjanjousi, P., additional, Voima, O., additional, Nevalaita, L., additional, Reich, C., additional, Araujo, S., additional, Longden-Chapman, E., additional, Burke, D., additional, Agapow, P., additional, Derkits, S., additional, Licour, M., additional, McCrea, C., additional, Payne, S., additional, Yong, A., additional, Thompson, L., additional, Mare, S. Le, additional, Bussmann, M, additional, and Kotik, D., additional

Published
2023
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9. Introducing PIONEER: a project to harness big data in prostate cancer research

Author

Omar M. I., Roobol M. J., Ribal M. J., Abbott T., Agapow P. -M., Araujo S., Asiimwe A., Auffray C., Balaur I., Beyer K., Bernini C., Bjartell A., Briganti A., Butler-Ransohoff J. -E., Campi R., Cavelaars M., De Meulder B., Devecseri Z., Voss M. D., Dimitropoulos K., Evans-Axelsson S., Franks B., Fullwood L., Horgan D., Smith E. J., Kiran A., Kivinummi K., Lambrecht M., Lancet D., Lindgren P., MacLennan S., Nogueira M. M., Moen F., Moinat M., Papineni K., Reich C., Reiche K., Rogiers S., Sartini C., van Bochove K., van Diggelen F., Van Hemelrijck M., Van Poppel H., Zong J., N'Dow J., Andersson E., Arala H., Auvinen A., Bangma C., Burke D., Cardone A., Casariego J., Cuperus G., Dabestani S., Esperto F., Fossati N., Fridhammar A., Gandaglia G., Tandefelt D. G., Horn F., Huber J., Hugosson J., Huisman H., Josefsson A., Kilkku O., Kreuz M., Lardas M., Lawson J., Lefresne F., Lejeune S., Longden-Chapman E., McVie G., Moris L., Mottet N., Murtola T., Nicholls C., Pang K. H., Pascoe K., Picozzi M., Plass K., Pohjanjousi P., Reaney M., Remmers S., Robinson P., Schalken J., Schravendeel M., Seisen T., Servan A., Shiranov K., Snijder R., Steinbeisser C., Taibi N., Talala K., Tilki D., Van den Broeck T., Vassilev Z., Voima O., Vradi E., Waldeck R., Weistra W., Willemse P. -P., Wirth M., Wolfinger R., Kermani N. Z., Omar, M. I., Roobol, M. J., Ribal, M. J., Abbott, T., Agapow, P. -M., Araujo, S., Asiimwe, A., Auffray, C., Balaur, I., Beyer, K., Bernini, C., Bjartell, A., Briganti, A., Butler-Ransohoff, J. -E., Campi, R., Cavelaars, M., De Meulder, B., Devecseri, Z., Voss, M. D., Dimitropoulos, K., Evans-Axelsson, S., Franks, B., Fullwood, L., Horgan, D., Smith, E. J., Kiran, A., Kivinummi, K., Lambrecht, M., Lancet, D., Lindgren, P., Maclennan, S., Nogueira, M. M., Moen, F., Moinat, M., Papineni, K., Reich, C., Reiche, K., Rogiers, S., Sartini, C., van Bochove, K., van Diggelen, F., Van Hemelrijck, M., Van Poppel, H., Zong, J., N'Dow, J., Andersson, E., Arala, H., Auvinen, A., Bangma, C., Burke, D., Cardone, A., Casariego, J., Cuperus, G., Dabestani, S., Esperto, F., Fossati, N., Fridhammar, A., Gandaglia, G., Tandefelt, D. G., Horn, F., Huber, J., Hugosson, J., Huisman, H., Josefsson, A., Kilkku, O., Kreuz, M., Lardas, M., Lawson, J., Lefresne, F., Lejeune, S., Longden-Chapman, E., Mcvie, G., Moris, L., Mottet, N., Murtola, T., Nicholls, C., Pang, K. H., Pascoe, K., Picozzi, M., Plass, K., Pohjanjousi, P., Reaney, M., Remmers, S., Robinson, P., Schalken, J., Schravendeel, M., Seisen, T., Servan, A., Shiranov, K., Snijder, R., Steinbeisser, C., Taibi, N., Talala, K., Tilki, D., Van den Broeck, T., Vassilev, Z., Voima, O., Vradi, E., Waldeck, R., Weistra, W., Willemse, P. -P., Wirth, M., Wolfinger, R., Kermani, N. Z., Publica, and Urology

Subjects
0301 basic medicine, Prioritization, Knowledge management, Urology, media_common.quotation_subject, education, Big data, Disease, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Multidisciplinary approach, Urological cancers Radboud Institute for Molecular Life Sciences [Radboudumc 15], Medicine, Quality (business), media_common, business.industry, Patient-centered outcomes, medicine.disease, 3. Good health, Patient management, 030104 developmental biology, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 030220 oncology & carcinogenesis, business
Abstract

Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. Launched by the Innovative Medicines Initiative 2 and part of the Big Data for Better Outcomes Programme (BD4BO), the overarching goal of PIONEER is to provide high-quality evidence on prostate cancer management by unlocking the potential of big data. The project has identified critical evidence gaps in prostate cancer care, via a detailed prioritization exercise including all key stakeholders. By standardizing and integrating existing high-quality and multidisciplinary data sources from patients with prostate cancer across different stages of the disease, the resulting big data will be assembled into a single innovative data platform for research. Based on a unique set of methodologies, PIONEER aims to advance the field of prostate cancer care with a particular focus on improving prostate-cancer-related outcomes, health system efficiency by streamlining patient management, and the quality of health and social care delivered to all men with prostate cancer and their families worldwide.Prostate Cancer Diagnosis and Treatment Enhancement Through the Power of Big Data in Europe (PIONEER) is a European network of excellence for big data in prostate cancer, consisting of 32 private and public stakeholders from 9 countries across Europe. In this Perspectives article, the authors introduce the PIONEER project and describe its aims and plans for ultimately improving prostate cancer care through the use of big data.

Published
2020

10. Author Correction: Introducing PIONEER: a project to harness big data in prostate cancer research (Nature Reviews Urology, (2020), 17, 6, (351-362), 10.1038/s41585-020-0324-x)

Author

Omar M. I., Roobol M. J., Ribal M. J., Abbott T., Agapow P. -M., Araujo S., Asiimwe A., Auffray C., Balaur I., Beyer K., Bernini C., Bjartell A., Briganti A., Butler-Ransohoff J. -E., Campi R., Cavelaars M., De Meulder B., Devecseri Z., Voss M. D., Dimitropoulos K., Evans-Axelsson S., Franks B., Fullwood L., Horgan D., Smith E. J., Kiran A., Kivinummi K., Lambrecht M., Lancet D., Lindgren P., MacLennan S., Nogueira M. M., Moen F., Moinat M., Papineni K., Reich C., Reiche K., Rogiers S., Sartini C., van Bochove K., van Diggelen F., Van Hemelrijck M., Van Poppel H., Zong J., N'Dow J., Andersson E., Arala H., Auvinen A., Bangma C., Burke D., Cardone A., Casariego J., Cuperus G., Dabestani S., Esperto F., Fossati N., Fridhammar A., Gandaglia G., Tandefelt D. G., Horn F., Huber J., Hugosson J., Huisman H., Josefsson A., Kilkku O., Kreuz M., Lardas M., Lawson J., Lefresne F., Lejeune S., Longden-Chapman E., McVie G., Moris L., Mottet N., Murtola T., Nicholls C., Pang K. H., Pascoe K., Picozzi M., Plass K., Pohjanjousi P., Reaney M., Remmers S., Robinson P., Schalken J., Schravendeel M., Seisen T., Servan A., Shiranov K., Snijder R., Steinbeisser C., Taibi N., Talala K., Tilki D., Van den Broeck T., Vassilev Z., Voima O., Vradi E., Waldeck R., Weistra W., Willemse P. -P., Wirth M., Wolfinger R., Kermani N. Z., Omar, M. I., Roobol, M. J., Ribal, M. J., Abbott, T., Agapow, P. -M., Araujo, S., Asiimwe, A., Auffray, C., Balaur, I., Beyer, K., Bernini, C., Bjartell, A., Briganti, A., Butler-Ransohoff, J. -E., Campi, R., Cavelaars, M., De Meulder, B., Devecseri, Z., Voss, M. D., Dimitropoulos, K., Evans-Axelsson, S., Franks, B., Fullwood, L., Horgan, D., Smith, E. J., Kiran, A., Kivinummi, K., Lambrecht, M., Lancet, D., Lindgren, P., Maclennan, S., Nogueira, M. M., Moen, F., Moinat, M., Papineni, K., Reich, C., Reiche, K., Rogiers, S., Sartini, C., van Bochove, K., van Diggelen, F., Van Hemelrijck, M., Van Poppel, H., Zong, J., N'Dow, J., Andersson, E., Arala, H., Auvinen, A., Bangma, C., Burke, D., Cardone, A., Casariego, J., Cuperus, G., Dabestani, S., Esperto, F., Fossati, N., Fridhammar, A., Gandaglia, G., Tandefelt, D. G., Horn, F., Huber, J., Hugosson, J., Huisman, H., Josefsson, A., Kilkku, O., Kreuz, M., Lardas, M., Lawson, J., Lefresne, F., Lejeune, S., Longden-Chapman, E., Mcvie, G., Moris, L., Mottet, N., Murtola, T., Nicholls, C., Pang, K. H., Pascoe, K., Picozzi, M., Plass, K., Pohjanjousi, P., Reaney, M., Remmers, S., Robinson, P., Schalken, J., Schravendeel, M., Seisen, T., Servan, A., Shiranov, K., Snijder, R., Steinbeisser, C., Taibi, N., Talala, K., Tilki, D., Van den Broeck, T., Vassilev, Z., Voima, O., Vradi, E., Waldeck, R., Weistra, W., Willemse, P. -P., Wirth, M., Wolfinger, R., and Kermani, N. Z.

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

11. Prognostic index for predicting prostate cancer survival in a randomized screening trial

Author

Neupane, S., Nevalainen, J., Raitanen, J., Talala, K., Kujala, P., Taari, K., Tammela, T.L.J., Steyerberg, E.W., Auvinen, A., Public Health, HUS Abdominal Center, Clinicum, Urologian yksikkö, Department of Surgery, Helsinki University Hospital Area, University of Helsinki, Tampere University, Health Sciences, Department of Pathology, and Clinical Medicine

Subjects
3141 Health care science, prediction model, SDG 3 - Good Health and Well-being, 3122 Cancers, prognostic index, screening trial, 3126 Surgery, anesthesiology, intensive care, radiology, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, prostate cancer, lcsh:RC254-282, mortality, Article
Abstract

Simple Summary A prognostic index for predicting survival of localized prostate cancer (PCa) up to 15 and 20 years was developed. The prognostic index performed well for predicting PCa survival among screened and non-screened men. The performance of the prediction model was superior to the European Association of Urology (EAU) risk groups as well as a modified cancer of prostate risk assessment (CAPRA) risk score. We further constructed a simplified risk score in an unscreened population, using the three most relevant predictors. The simplified risk score was applied to predict PCa survival at 10 years from diagnosis to provide more accurate risk estimation as the basis for decision making. We developed and validated a prognostic index to predict survival from prostate cancer (PCa) based on the Finnish randomized screening trial (FinRSPC). Men diagnosed with localized PCa (N = 7042) were included. European Association of Urology risk groups were defined. The follow-up was divided into three periods (0-3, 3-9 and 9-20 years) for development and two corresponding validation periods (3-6 and 9-15 years). A multivariable complementary log-log regression model was used to calculate the full prognostic index. Predicted cause-specific survival at 10 years from diagnosis was calculated for the control arm using a simplified risk score at diagnosis. The full prognostic index discriminates well men with PCa with different survival. The area under the curve (AUC) was 0.83 for both the 3-6 year and 9-15 year validation periods. In the simplified risk score, patients with a low risk score at diagnosis had the most favorable survival, while the outcome was poorest for the patients with high risk scores. The prognostic index was able to distinguish well between men with higher and lower survival, and the simplified risk score can be used as a basis for decision making.

Published
2021

13. Prognostic index for predicting prostate cancer survival in a randomized screening trial: Development and validation

Author

Neupane, S. (Subas), Nevalainen, J. (Jaakko), Raitanen, J. (Jani), Talala, K. (Kirsi), Kujala, P.M. (Paula), Taari, K. (Kimmo), Tammela, T.L.J. (Teuvo L. J.), Steyerberg, E.W. (Ewout), Auvinen, A. (Anssi), Neupane, S. (Subas), Nevalainen, J. (Jaakko), Raitanen, J. (Jani), Talala, K. (Kirsi), Kujala, P.M. (Paula), Taari, K. (Kimmo), Tammela, T.L.J. (Teuvo L. J.), Steyerberg, E.W. (Ewout), and Auvinen, A. (Anssi)

Abstract

We developed and validated a prognostic index to predict survival from prostate cancer (PCa) based on the Finnish randomized screening trial (FinRSPC). Men diagnosed with localized PCa (N = 7042) were included. European Association of Urology risk groups were defined. The follow-up was divided into three periods (0–3, 3–9 and 9–20 years) for development and two corresponding validation periods (3–6 and 9–15 years). A multivariable complementary log–log regression model was used to calculate the full prognostic index. Predicted cause-specific survival at 10 years from diagnosis was calculated for the control arm using a simplified risk score at diagnosis. The full prognostic index discriminates well men with PCa with different survival. The area under the curve (AUC) was 0.83 for both the 3–6 year and 9–15 year validation periods. In the simplified risk score, patients with a low risk score at diagnosis had the most favorable survival, while the outcome was poorest for the patients with high risk scores. The prognostic index was able to distinguish well between men with higher and lower survival, and the simplified risk score can be used as a basis for decision making.

Published
2021
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14. Prognostic Index for Predicting Prostate Cancer Survival in a Randomized Screening Trial: Development and Validation

Author

Neupane, S, Nevalainen, J, Raitanen, J, Talala, K, Kujala, P, Taari, K, Tammela, TL, Steyerberg, Ewout, Auvinen, A, Neupane, S, Nevalainen, J, Raitanen, J, Talala, K, Kujala, P, Taari, K, Tammela, TL, Steyerberg, Ewout, and Auvinen, A

Abstract

We developed and validated a prognostic index to predict survival from prostate cancer (PCa) based on the Finnish randomized screening trial (FinRSPC). Men diagnosed with localized PCa (N = 7042) were included. European Association of Urology risk groups were defined. The follow-up was divided into three periods (0–3, 3–9 and 9–20 years) for development and two corresponding validation periods (3–6 and 9–15 years). A multivariable complementary log–log regression model was used to calculate the full prognostic index. Predicted cause-specific survival at 10 years from diagnosis was calculated for the control arm using a simplified risk score at diagnosis. The full prognostic index discriminates well men with PCa with different survival. The area under the curve (AUC) was 0.83 for both the 3–6 year and 9–15 year validation periods. In the simplified risk score, patients with a low risk score at diagnosis had the most favorable survival, while the outcome was poorest for the patients with high risk scores. The prognostic index was able to distinguish well between men with higher and lower survival, and the simplified risk score can be used as a basis for decision making.

Published
2021

18. Impact of cause of death adjudication on the results of the European prostate cancer screening trial

Author

Walter, SD, de Koning, Harry, Hugosson, J, Talala, K, Roobol - Bouts, Monique, Carlsson, S, Zappa, M, Nelen, V, Kwiatkowski, M, Paez, A, Moss, S, Auvinen, A, Comm, ECD, Public Health, and Urology

Subjects
Male, Research design, Cancer Research, Epidemiology, prostate neoplasms, Statistics as Topic, PSA, cause of death, 0302 clinical medicine, Belgium, Cause of Death, Mass Screening, Registries, 030212 general & internal medicine, Early Detection of Cancer, Finland, Netherlands, Cause of death, Adjudication, prostate, Middle Aged, 3. Good health, Europe, Prostate cancer screening, Italy, Oncology, Research Design, 030220 oncology & carcinogenesis, Switzerland, medicine.medical_specialty, Death Certificates, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, Humans, Intensive care medicine, Trial Arms, Mass screening, Aged, Sweden, business.industry, screening, Screening Trial, Prostatic Neoplasms, Mortality reduction, randomised trial, mortality, latent class model, business
Abstract

Background: The European Randomised Study of Prostate Cancer Screening has shown a 21% relative reduction in prostate cancer mortality at 13 years. The causes of death can be misattributed, particularly in elderly men with multiple comorbidities, and therefore accurate assessment of the underlying cause of death is crucial for valid results. To address potential unreliability of end-point assessment, and its possible impact on mortality results, we analysed the study outcome adjudication data in six countries. Methods: Latent class statistical models were formulated to compare the accuracy of individual adjudicators, and to assess whether accuracy differed between the trial arms. We used the model to assess whether correcting for adjudication inaccuracies might modify the study results. Results: There was some heterogeneity in adjudication accuracy of causes of death, but no consistent differential accuracy by trial arm. Correcting the estimated screening effect for misclassification did not alter the estimated mortality effect of screening. Conclusions: Our findings were consistent with earlier reports on the European screening trial. Observer variation, while demonstrably present, is unlikely to have materially biased the main study results. A bias in assigning causes of death that might have explained the mortality reduction by screening can be effectively ruled out.

Published
2017

19. Outcomes of prostate cancer screening among men using antidiabetic medication

Author

Vettenranta, A., Murtola, T. J., Talala, K., Taari, K., Stenman, U-H, Tammela, T. L. J., Auvinen, A., Tampere University, Clinical Medicine, Department of Surgery, Health Sciences, HUS Abdominal Center, Clinicum, Urologian yksikkö, Helsinki University Hospital Area, Medicum, and Department of Clinical Chemistry and Hematology

Subjects
Male, Risk, Databases, Factual, Epidemiology, Science, 3122 Cancers, Predictive markers, Article, Diabetes Complications, Humans, Hypoglycemic Agents, Early Detection of Cancer, Finland, Aged, Incidence, Prostate, Prostatic Neoplasms, Middle Aged, Prostate-Specific Antigen, 3126 Surgery, anesthesiology, intensive care, radiology, 3141 Health care science, Treatment Outcome, 3121 General medicine, internal medicine and other clinical medicine, Disease Progression, Medicine, Follow-Up Studies
Abstract

Diabetic men have decreased risk for prostate cancer (PCa) overall and lower PSA compared to non-diabetics. This may affect the outcomes of PSA-based screening. We investigated the effect of PSA-based screening at 4-year intervals on PCa incidence and mortality separately among users and non-users of antidiabetic medication with the hypothesis that screening would detect less low-grade cancer and more high-grade cancer in diabetic men. A cohort of 80,458 men from the Finnish Randomized Study of Screening for Prostate Cancer (FinRSPC) were linked to national prescription database to obtain information on antidiabetic medication purchases. PCa risk and mortality were compared between the FinRSPC screening arm (SA) and the control arm (CA) separately among users and non-users of antidiabetic medication. Among antidiabetic medication users median PSA was lower than in non-users (0.93 and 1.09 ng/ml, respectively, P for difference = 0.001). Screening increased overall PCa incidence compared to CA after the first screen both among medication users and non-users (HR 1.31, 95% CI 1.08-1.60 and HR 1.55, 95% CI 1.44-1.66, respectively). On the second and third screen the difference between SA and CA attenuated only among medication users. Detection of Gleason 6 tumors was lower among medication users, whereas no difference was observed in detection of Gleason 8-10 cancers. Concordantly, screening affected PCa mortality similarly regardless of antidiabetic medication use (HR 0.38, 95% CI 0.14-1.07 and HR 0.19, 95% CI 0.11-0.33 among users and non-users after three screens, respectively. P for difference = 0.18). Median PSA is lower in men using antidiabetic drugs than among non-users. Systematic PSA screening detects less low-risk tumors among medication users, whereas detection of high-risk tumors and mortality effects are similar regardless of medication use. This suggests that antidiabetic medication users may form a suitable target group for PCa screening, with less screening-related overdiagnosis of indolent tumors. publishedVersion

Published
2019

20. 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

21. Germline variation at 8q24 and prostate cancer risk in men of European ancestry.

Author

Carter B.D., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Wang G., Guo J., Southey M.C., FitzGerald L.M., 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 E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., Kulis T., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Lessel D., Kaneva R., Usmani N., Claessens F., Townsend P.A., Dominguez M.G., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Jan Lubinski, Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., Mengual L., Alcaraz A., Pow-Sang J., Herkommer K., Vlahova A., Dikov T., Christova S., Carracedo A., Tretarre B., Rebillard X., Mulot C., Jan Adolfsson, Stattin P., Johansson J.-E., Martin R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., Borre M., Carter B.D., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Wang G., Guo J., Southey M.C., FitzGerald L.M., 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 E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., Kulis T., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Lessel D., Kaneva R., Usmani N., Claessens F., Townsend P.A., Dominguez M.G., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Jan Lubinski, Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., Mengual L., Alcaraz A., Pow-Sang J., Herkommer K., Vlahova A., Dikov T., Christova S., Carracedo A., Tretarre B., Rebillard X., Mulot C., Jan Adolfsson, Stattin P., Johansson J.-E., Martin R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., and Borre M.

Abstract

Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p < 4.28 x 10-15), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95%CI = 3.62-4.40) greater risk compared to the population average. These 12 variants account for ~25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification.Copyright © 2018, The Author(s).

Published
2019

22. Erratum to: Germline variation at 8q24 and prostate cancer risk in men of European ancestry (Nature Communications, (2018), 9, 1, (4616), 10.1038/s41467-018-06863-1).

Author

Wang G., Lessel D., Kaneva R., Usmani N., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Claessens F., Townsend P.A., Gago-Dominguez M., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Carter B.D., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Lubinski J., Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., 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 R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., Borre M., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Guo J., Southey M.C., FitzGerald L.M., 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 E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., Kulis T., Wang G., Lessel D., Kaneva R., Usmani N., Kastelan Z., Slavov C., Popov E., Van den Broeck T., Joniau S., Larkin S., Castelao J.E., Martinez M.E., van Schaik R.H.N., Xu J., Lindstrom S., Riboli E., Berry C., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Freedman M., Cenee S., Sanchez M., Wiklund F., Chanock S.J., Easton D.F., Eeles R.A., Kote-Jarai Z., Conti D.V., Haiman C.A., Hutchinson A., Ling J., Papargiris M., Matejcic M., Saunders E.J., Dadaev T., Brook M.N., Wang K., Sheng X., Olama A.A.A., Schumacher F.R., Ingles S.A., Govindasami K., Benlloch S., Berndt S.I., Albanes D., Koutros S., Muir K., Stevens V.L., Gapstur S.M., Tangen C.M., Batra J., Clements J., Gronberg H., Pashayan N., Schleutker J., Wolk A., West C., Mucci L., Kraft P., Cancel-Tassin G., Sorensen K.D., Maehle L., Grindedal E.M., Strom S.S., Neal D.E., Hamdy F.C., Donovan J.L., Travis R.C., Hamilton R.J., Rosenstein B., Lu Y.-J., Giles G.G., Kibel A.S., Vega A., Bensen J.T., Kogevinas M., Penney K.L., Park J.Y., Stanford J.L., Cybulski C., Nordestgaard B.G., Brenner H., Maier C., Kim J., Teixeira M.R., Neuhausen S.L., De Ruyck K., Razack A., Newcomb L.F., Claessens F., Townsend P.A., Gago-Dominguez M., Roobol M.J., Menegaux F., Khaw K.-T., Cannon-Albright L.A., Pandha H., Thibodeau S.N., Schaid D.J., Henderson B.E., Stern M.C., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Cook M., Fachal L., Weinstein S., Beane Freeman L.E., Hoover R.N., Machiela M.J., Lophatananon A., Carter B.D., Goodman P., Moya L., Srinivasan S., Kedda M.-A., Yeadon T., Eckert A., Eklund M., Cavalli-Bjoerkman C., Dunning A.M., Sipeky C., Hakansson N., Elliott R., Ranu H., Giovannucci E., Turman C., Hunter D.J., Cussenot O., Orntoft T.F., Lane A., Lewis S.J., Davis M., Key T.J., Brown P., Kulkarni G.S., Zlotta A.R., Fleshner N.E., Finelli A., Mao X., Marzec J., MacInnis R.J., Milne R., Hopper J.L., Aguado M., Bustamante M., Castano-Vinyals G., Gracia-Lavedan E., Cecchini L., Stampfer M., Ma J., Sellers T.A., Geybels M.S., Park H., Zachariah B., Kolb S., Wokolorczyk D., Lubinski J., Kluzniak W., Nielsen S.F., Weisher M., Cuk K., Vogel W., Luedeke M., Logothetis C.J., Paulo P., Cardoso M., Maia S., Silva M.P., Steele L., Ding Y.C., De Meerleer G., De Langhe S., Thierens H., Lim J., Tan M.H., Ong A.T., Lin D.W., Kachakova D., Mitkova A., Mitev V., Parliament M., Jenster G., Bangma C., Schroder F.H., Truong T., Koudou Y.A., Michael A., Kierzek A., Karlsson A., Broms M., Wu H., Aukim-Hastie C., Tillmans L., Riska S., McDonnell S.K., Dearnaley D., Spurdle A., Gardiner R., Hayes V., Butler L., Taylor R., Saunders P., Kujala P., Talala K., Taari K., Bentzen S., Hicks B., Vogt A., Cox A., George A., Toi A., Evans A., van der Kwast T.H., Imai T., Saito S., Zhao S.-C., Ren G., Zhang Y., Yu Y., Wu Y., Wu J., Zhou B., Pedersen J., Lobato-Busto R., Ruiz-Dominguez J.M., 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 R.M., Thompson I.M., Chambers S., Aitken J., Horvath L., Haynes A.-M., Tilley W., Risbridger G., Aly M., Nordstrom T., Pharoah P., Tammela T.L.J., Murtola T., Auvinen A., Burnet N., Barnett G., Andriole G., Klim A., Drake B.F., Borre M., Kerns S., Ostrer H., Zhang H.-W., Cao G., Lin J., Li M., Feng N., Li J., He W., Guo X., Sun Z., Guo J., Southey M.C., FitzGerald L.M., 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 E.A., Bisbjerg R., Klarskov P., Roder M.A., Iversen P., Holleczek B., Stegmaier C., Schnoeller T., Bohnert P., John E.M., Ost P., Teo S.-H., Gamulin M., and Kulis T.

Abstract

The original version of this Article contained an error in the spelling of the author Manuela Gago-Dominguez, which was incorrectly given as Manuela G. Dominguez. This has now been corrected in both the PDF and HTML versions of the Article.Copyright © 2019, The Author(s).

Published
2019

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

Author

Stampfer M., Ranu H., Hicks B., Vogt A., Cox A., Davis M., Brown P., George A., Marsden G., Lane A., Lewis S.J., Berry C., Kulkarni G.S., Toi A., Evans A., Zlotta A.R., Van Der Kwast T.H., Imai T., Saito S., Marzec J., Cao G., Lin J., Li M., Zhao S.-C., Ren G., Yu Y., Wu Y., Wu J., Zhou B., Zhang Y., Li J., He W., Guo J., Pedersen J., Hopper J.L., Milne R., Klim A., Carballo A., Lobato-Busto R., Peleteiro P., Calvo P., Aguado M., Ruiz-Dominguez J.M., Cecchini L., Mengual L., Alcaraz A., Bustamante M., Gracia-Lavedan E., Dierssen-Sotos T., Gomez-Acebo I., Pow-Sang J., Park H., Zachariah B., Kluzniak W., Kolb S., Klarskov P., Stegmaier C., Vogel W., Herkommer K., Bohnert P., Maia S., Silva M.P., De Langhe S., Thierens H., Tan M.H., Ong A.T., Kastelan Z., Popov E., Kachakova D., Mitkova A., Vlahova A., Dikov T., Christova S., Carracedo A., Bangma C., Schroder F.H., Cenee S., Tretarre B., Rebillard X., Mulot C., Sanchez M., Adolfsson J., Stattin P., Johansson J.-E., Cavalli-Bjoerkman C., Karlsson A., Broms M., Wu H., Tillmans L., Riska S., Freedman M., Wiklund F., Chanock S., Henderson B.E., Easton D.F., Haiman C.A., Eeles R.A., Conti D.V., Kote-Jarai Z., Hutchinson A., Ling J., Papargiris M., Dadaev T., Saunders E.J., Newcombe P.J., Anokian E., Leongamornlert D.A., Brook M.N., Cieza-Borrella C., Mijuskovic M., Wakerell S., Olama A.A.A., Schumacher F.R., Berndt S.I., Benlloch S., Ahmed M., Goh C., Sheng X., Zhang Z., Muir K., Govindasami K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C., Dunning A.M., Burnet N., Mucci L., Giovannucci E., Andriole G., Cussenot O., Cancel-Tassin G., Koutros S., Freeman L.E.B., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B., Kerns S., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., Fitzgerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Fachal L., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard Bo.G., Nielsen S.F., Weisher M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., 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 P.A., Aukim-Hastie C., Gago-Dominguez M., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., Van Schaik R.H.N., Menegaux F., Truong T., Koudou Y.A., Xu J., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Kierzek A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Kraft P., Cook M., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Spurdle A., Srinivasan S., Kedda M.-A., Aitken J., Gardiner R., Hayes V., Butler L., Taylor R., Yeadon T., Eckert A., Saunders P., Haynes A.-M., Kujala P., Talala K., Murtola T., Taari K., Dearnaley D., Barnett G., Bentzen So., Elliott R., Stampfer M., Ranu H., Hicks B., Vogt A., Cox A., Davis M., Brown P., George A., Marsden G., Lane A., Lewis S.J., Berry C., Kulkarni G.S., Toi A., Evans A., Zlotta A.R., Van Der Kwast T.H., Imai T., Saito S., Marzec J., Cao G., Lin J., Li M., Zhao S.-C., Ren G., Yu Y., Wu Y., Wu J., Zhou B., Zhang Y., Li J., He W., Guo J., Pedersen J., Hopper J.L., Milne R., Klim A., Carballo A., Lobato-Busto R., Peleteiro P., Calvo P., Aguado M., Ruiz-Dominguez J.M., Cecchini L., Mengual L., Alcaraz A., Bustamante M., Gracia-Lavedan E., Dierssen-Sotos T., Gomez-Acebo I., Pow-Sang J., Park H., Zachariah B., Kluzniak W., Kolb S., Klarskov P., Stegmaier C., Vogel W., Herkommer K., Bohnert P., Maia S., Silva M.P., De Langhe S., Thierens H., Tan M.H., Ong A.T., Kastelan Z., Popov E., Kachakova D., Mitkova A., Vlahova A., Dikov T., Christova S., Carracedo A., Bangma C., Schroder F.H., Cenee S., Tretarre B., Rebillard X., Mulot C., Sanchez M., Adolfsson J., Stattin P., Johansson J.-E., Cavalli-Bjoerkman C., Karlsson A., Broms M., Wu H., Tillmans L., Riska S., Freedman M., Wiklund F., Chanock S., Henderson B.E., Easton D.F., Haiman C.A., Eeles R.A., Conti D.V., Kote-Jarai Z., Hutchinson A., Ling J., Papargiris M., Dadaev T., Saunders E.J., Newcombe P.J., Anokian E., Leongamornlert D.A., Brook M.N., Cieza-Borrella C., Mijuskovic M., Wakerell S., Olama A.A.A., Schumacher F.R., Berndt S.I., Benlloch S., Ahmed M., Goh C., Sheng X., Zhang Z., Muir K., Govindasami K., Lophatananon A., Stevens V.L., Gapstur S.M., Carter B.D., Tangen C.M., Goodman P., Thompson I.M., Batra J., Chambers S., Moya L., Clements J., Horvath L., Tilley W., Risbridger G., Gronberg H., Aly M., Nordstrom T., Pharoah P., Pashayan N., Schleutker J., Tammela T.L.J., Sipeky C., Auvinen A., Albanes D., Weinstein S., Wolk A., Hakansson N., West C., Dunning A.M., Burnet N., Mucci L., Giovannucci E., Andriole G., Cussenot O., Cancel-Tassin G., Koutros S., Freeman L.E.B., Sorensen K.D., Orntoft T.F., Borre M., Maehle L., Grindedal E.M., Neal D.E., Donovan J.L., Hamdy F.C., Martin R.M., Travis R.C., Key T.J., Hamilton R.J., Fleshner N.E., Finelli A., Ingles S.A., Stern M.C., Rosenstein B., Kerns S., Ostrer H., Lu Y.-J., Zhang H.-W., Feng N., Mao X., Guo X., Wang G., Sun Z., Giles G.G., Southey M.C., MacInnis R.J., Fitzgerald L.M., Kibel A.S., Drake B.F., Vega A., Gomez-Caamano A., Fachal L., Szulkin R., Eklund M., Kogevinas M., Llorca J., Castano-Vinyals G., Penney K.L., Park J.Y., Sellers T.A., Lin H.-Y., Stanford J.L., Cybulski C., Wokolorczyk D., Lubinski J., Ostrander E.A., Geybels M.S., Nordestgaard Bo.G., Nielsen S.F., Weisher M., Bisbjerg R., Roder M.A., Iversen P., Brenner H., Cuk K., Holleczek B., Maier C., Luedeke M., Schnoeller T., Kim J., Logothetis C.J., John E.M., Teixeira M.R., Paulo P., Cardoso M., Neuhausen S.L., Steele L., Ding Y.C., De Ruyck K., De Meerleer G., Ost P., Razack A., Lim J., Teo S.-H., Lin D.W., Newcomb L.F., 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 P.A., Aukim-Hastie C., Gago-Dominguez M., Castelao J.E., Martinez M.E., Roobol M.J., Jenster G., Van Schaik R.H.N., Menegaux F., Truong T., Koudou Y.A., Xu J., Khaw K.-T., Cannon-Albright L., Pandha H., Michael A., Kierzek A., Thibodeau S.N., McDonnell S.K., Schaid D.J., Lindstrom S., Turman C., Ma J., Hunter D.J., Riboli E., Siddiq A., Canzian F., Kolonel L.N., Le Marchand L., Hoover R.N., Machiela M.J., Kraft P., Cook M., Thwaites A., Guy M., Whitmore I., Morgan A., Fisher C., Hazel S., Livni N., Spurdle A., Srinivasan S., Kedda M.-A., Aitken J., Gardiner R., Hayes V., Butler L., Taylor R., Yeadon T., Eckert A., Saunders P., Haynes A.-M., Kujala P., Talala K., Murtola T., Taari K., Dearnaley D., Barnett G., Bentzen So., and Elliott R.

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.Copyright © 2018 The Author(s).

Published
2018

30. What explains the differences between centres in the European screening trial? A simulation study

Author

Nevalainen, J. (Jaakko), Stenman, U.-H. (Ulf-Håkan), Tammela, T.L. (Teuvo), Roobol-Bouts, M.J. (Monique), Carlsson, S. (Sigrid), Talala, K. (Kirsi), Schröder, F.H. (Fritz H.), Auvinen, A. (Anssi), Nevalainen, J. (Jaakko), Stenman, U.-H. (Ulf-Håkan), Tammela, T.L. (Teuvo), Roobol-Bouts, M.J. (Monique), Carlsson, S. (Sigrid), Talala, K. (Kirsi), Schröder, F.H. (Fritz H.), and Auvinen, A. (Anssi)

Abstract

Background The European Randomised study of Screening for Prostate Cancer (ERSPC) is a multicentre, randomised screening trial on men aged 55–69 years at baseline without known prostate cancer (PrCa) at randomisation to an intervention arm invited to screening or to a control arm. The ERSPC has shown a significant 21% reduction in PrCa mortality at 13 years of follow-up. The effect of screening appears to vary across centres, for which several explanations are possible. We set to assess if the apparent differences in PrCa mortality reduction between the centres can be explained by differences in screening protocols. Methods We examined the centre differences by developing a simulation model and estimated how alternative screening protocols would have affected PrCa mortality. Results Our results showed outcomes similar to those observed, when the results by centres were reproduced by simulating the screening regimens with PSA threshold of 3 versus 4 ng/ml, or screening interval of two versus four years. The findings suggest that the differences are only marginally attributable to the different screening protocols. Conclusion The small screening impact in Finland was not explained by the differences in the screening protocols. A possible reason for it was the contamination of and the unexpectedly low PrCa mortality in the Finnish control arm.

Published
2017
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31. Impact of cause of death adjudication on the results of the European prostate cancer screening trial

Author

Walter, S.D. (Stephen D.), Koning, H.J. (Harry) de, Hugosson, J. (Jonas), Talala, K. (Kirsi), Roobol-Bouts, M.J. (Monique), Carlsson, S. (Sigrid), Zappa, M. (Marco), Nelen, V. (Vera), Kwiatkowski, M. (Maciej), Páez, A. (Alvaro), Moss, S.M. (Sue), Auvinen, A. (Anssi), Walter, S.D. (Stephen D.), Koning, H.J. (Harry) de, Hugosson, J. (Jonas), Talala, K. (Kirsi), Roobol-Bouts, M.J. (Monique), Carlsson, S. (Sigrid), Zappa, M. (Marco), Nelen, V. (Vera), Kwiatkowski, M. (Maciej), Páez, A. (Alvaro), Moss, S.M. (Sue), and Auvinen, A. (Anssi)

Abstract

Background:The European Randomised Study of Prostate Cancer Screening has shown a 21% relative reduction in prostate cancer mortality at 13 years. The causes of death can be misattributed, particularly in elderly men with multiple comorbidities, and therefore accurate assessment of the underlying cause of death is crucial for valid results. To address potential unreliability of end-point assessment, and its possible impact on mortality results, we analysed the study outcome adjudication data in six countries.Methods:Latent class statistical models were formulated to compare the accuracy of individual adjudicators, and to assess whether accuracy differed between the trial arms. We used the model to assess whether correcting for adjudication inaccuracies might modify the study results.Results:There was some heterogeneity in adjudication accuracy of causes of death, but no consistent differential accuracy by trial arm. Correcting the estimated screening effect for misclassification did not alter the estimated mortality effect of screening.Conclusions:Our findings were consistent with earlier reports on the European screening trial. Observer variation, while demonstrably present, is unlikely to have materially biased the main study results. A bias in assigning causes of death that might have explained the mortality reduction by screening can be effectively ruled out.

Published
2017
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44. Изменения микрорельефа поверхности мишени при воздействии интенсивных потоков плазмы

Author

Lyeĭvi, A. Y., Talala, K. A., and Yalovets, A. P.

Subjects
интенсивные потоки плазмы, плазменные потоки, УДК 533.9, обработка мишени интенсивными плазменными потоками, УДК 533.95, УДК 001, Физический факультет, физика плазмы, микрорельеф поверхности обрабатываемого материала
Published
2011

45. Взаимодействие плазменных потоков с веществом

Author

Lyeĭvi, A. Y., Talala, K. A., and Yalovets, A. P.

Subjects
интенсивные потоки плазмы, обработка материалов интенсивными потоками плазмы, УДК 533.9, УДК 533.924, УДК 001, Физический факультет, физика плазмы
Published
2011

49. The dynamics of under surface condensed substance irradiated by intense energy stream.

Author

Volkov, N. B., Leyvi, A. Ya., Mayer, A. E., Talala, K. A., and Yalovets, A. P.

Subjects
ELECTRON beams, SURFACE chemistry, IRRADIATION, PERTURBATION theory, MIXING
Abstract

The new method for simulation of dynamics of target surface irradiated by electron beams. There are two irradiation regimes: precritical and supercritical. We have conducted the research of crater formation for different beam parameters. Also 3D calculations of crater interaction and evolution of craters from initial irregular perturbation are carried out. © 2006 American Institute of Physics [ABSTRACT FROM AUTHOR]

Published
2006
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50. Three-dimensional simulation of nonlinear dynamics of target surface at influence of intensive charged particle beams.

Author

Volkov, N. B., Mayer, A. E., Talala, K. A., and Yalovets, A. P.

Abstract

It is suggested and realized a simple method for simulation of nonlinear dynamics of target surface at influence of intensive charged particle beams. There are carried out a computer experiment and comparison of simulation results with experimental and calculated results of other authors. There are investigated mechanisms of a drop formation at influence of target. [ABSTRACT FROM PUBLISHER]

Published
2004

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