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Khan S, Fuzzell L, Langston M, Han Y, Moore JX, Gilbert K, Sutcliffe S, Bensen JT, Mohler JL, Fontham ETH, Song L, Lewis-Thames MW. The impact of marital status on tumor aggressiveness, treatment, and screening among black and white men diagnosed with prostate cancer. Cancer Causes Control 2024; 35:531-539. [PMID: 37919455 DOI: 10.1007/s10552-023-01821-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 10/27/2023] [Indexed: 11/04/2023]
Abstract
PURPOSE To examine the association of marital status with prostate cancer outcomes in a racially-diverse cohort. METHODS The study population consisted of men (1010 Black; 1070 White) with incident prostate cancer from the baseline North Carolina-Louisiana Prostate Cancer (PCaP) cohort. Marital status at time of diagnosis and screening history were determined by self-report. The binary measure of marital status was defined as married (including living as married) vs. not married (never married, divorced/separated, or widowed). High-aggressive tumors were defined using a composite measure of PSA, Gleason Score, and stage. Definitive treatment was defined as receipt of radical prostatectomy or radiation. Multivariable logistic regression was used to examine the association of marital status with (1) high-aggressive tumors, (2) receipt of definitive treatment, and (3) screening history among Black and White men with prostate cancer. RESULTS Black men were less likely to be married than White men (68.1% vs. 83.6%). Not being married (vs. married) was associated with increased odds of high-aggressive tumors in the overall study population (adjusted Odds Ratio (aOR): 1.56; 95% Confidence Interval (CI): 1.20-2.02) and both Black and White men in race-stratified analyses. Unmarried men were less likely to receive definitive treatment in the overall study population (aOR: 0.68; 95% CI: 0.54-0.85). In race-stratified analyses, unmarried Black men were less likely to receive definitive treatment. Both unmarried Black and White men were less likely to have a history of prostate cancer screening than married men. CONCLUSION Lower rates of marriage among Black men might signal decreased support for treatment decision-making, symptom management, and caregiver support which could potentially contribute to prostate cancer disparities.
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Affiliation(s)
- Saira Khan
- Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 8100-0094-02300, 63110, USA.
- Epidemiology Program, College of Health Sciences, University of Delaware, 100 Discovery Blvd., 7th floor, Newark, DE, 19713, USA.
| | - Lindsay Fuzzell
- Health Outcomes and Behavior, Moffitt Cancer Center, 12902 Magnolia Dr. MRC-COEE, Tampa, FL, 33612, USA
| | - Marvin Langston
- Department of Epidemiology and Population Health, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA
| | - Yunan Han
- Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 8100-0094-02300, 63110, USA
| | - Justin X Moore
- Center for Health Equity Transformation, Department of Behavioral Science, Department of Internal Medicine, Markey Cancer Center, University of Kentucky College of Medicine, 760 Press Avenue, Lexington, KY, 40536, USA
| | - Keon Gilbert
- Department of Behavioral Science and Health Education, College for Public Health and Social Justice, St. Louis, University, 3545 Lafayette Ave., Room 316, St. Louis, MO, 63103, USA
| | - Siobhan Sutcliffe
- Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 8100-0094-02300, 63110, USA
- Alvin J. Siteman Cancer Center, Washington University in St. Louis School of Medicine, 4921 Parkview Place, St. Louis, MO, 63110, USA
| | - Jeannette T Bensen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, 3130 Bioinformatics Building, CB# 7295, Chapel Hill, NC, 27599, USA
| | - James L Mohler
- Roswell Park Comprehensive Cancer Center, Elm and Carlton St, Buffalo, NY, 14263, USA
| | - Elizabeth T H Fontham
- Department of Epidemiology, School of Public Health, Louisiana State University, 2020 Gravier Street, 3rd Floor, New Orleans, LA, 70112, USA
| | - Lixin Song
- School of Nursing, University of North Carolina - Chapel Hill, Carrington Hall, CB #7460, Chapel Hill, NC, 27599, USA
| | - Marquita W Lewis-Thames
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 750 N. Lake Shore Dr, Chicago, IL, 60611, USA
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Gard CC, Lange J, Miglioretti DL, O’Meara ES, Lee CI, Etzioni R. Risk of cancer versus risk of cancer diagnosis? Accounting for diagnostic bias in predictions of breast cancer risk by race and ethnicity. J Med Screen 2023; 30:209-216. [PMID: 37306245 PMCID: PMC10713859 DOI: 10.1177/09691413231180028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
OBJECTIVES Cancer risk prediction may be subject to detection bias if utilization of screening is related to cancer risk factors. We examine detection bias when predicting breast cancer risk by race/ethnicity. METHODS We used screening and diagnosis histories from the Breast Cancer Surveillance Consortium to estimate risk of breast cancer onset and calculated relative risk of onset and diagnosis for each racial/ethnic group compared with non-Hispanic White women. RESULTS Of 104,073 women aged 40-54 receiving their first screening mammogram at a Breast Cancer Surveillance Consortium facility between 2000 and 2018, 10.2% (n = 10,634) identified as Asian, 10.9% (n = 11,292) as Hispanic, and 8.4% (n = 8719) as non-Hispanic Black. Hispanic and non-Hispanic Black women had slightly lower screening frequencies but biopsy rates following a positive mammogram were similar across groups. Risk of cancer diagnosis was similar for non-Hispanic Black and White women (relative risk vs non-Hispanic White = 0.90, 95% CI 0.65 to 1.14) but was lower for Asian (relative risk = 0.70, 95% CI 0.56 to 0.97) and Hispanic women (relative risk = 0.82, 95% CI 0.62 to 1.08). Relative risks of disease onset were 0.78 (95% CI 0.68 to 0.88), 0.70 (95% CI 0.59 to 0.83), and 0.95 (95% CI 0.84 to 1.09) for Asian, Hispanic, and non-Hispanic Black women, respectively. CONCLUSIONS Racial/ethnic differences in mammography and biopsy utilization did not induce substantial detection bias; relative risks of disease onset were similar to or modestly different than relative risks of diagnosis. Asian and Hispanic women have lower risks of developing breast cancer than non-Hispanic Black and White women, who have similar risks.
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Affiliation(s)
- Charlotte C. Gard
- Department of Economics, Applied Statistics, and International Business, New Mexico State University, Las Cruces, NM, USA
| | - Jane Lange
- Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Diana L. Miglioretti
- Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Ellen S. O’Meara
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Christoph I. Lee
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
- Department of Health Services, University of Washington School of Public Health, Seattle, WA, USA
- Hutchinson Institute for Cancer Outcomes Research, Seattle, WA, USA
| | - Ruth Etzioni
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA
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Feng X, Zhang Y, Vaselkiv JB, Li R, Nguyen PL, Penney KL, Giovannucci EL, Mucci LA, Stopsack KH. Modifiable risk factors for subsequent lethal prostate cancer among men with an initially negative prostate biopsy. Br J Cancer 2023; 129:1988-2002. [PMID: 37898724 PMCID: PMC10703766 DOI: 10.1038/s41416-023-02472-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 10/06/2023] [Accepted: 10/17/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Previously suggested modifiable risk factors for prostate cancer could have resulted from detection bias because diagnosis requires a biopsy. We investigated modifiable risk factors for a subsequent cancer diagnosis among men with an initially negative prostate biopsy. METHODS In total, 10,396 participants of the Health Professionals Follow-up Study with an initial negative prostate biopsy after 1994 were followed for incident prostate cancer until 2017. Potential risk factors were based on previous studies in the general population. Outcomes included localised, advanced, and lethal prostate cancer. RESULTS With 1851 prostate cancer cases (168 lethal) diagnosed over 23 years of follow-up, the 20-year risk of any prostate cancer diagnosis was 18.5% (95% CI: 17.7-19.3). Higher BMI and lower alcohol intake tended to be associated with lower rates of localised disease. Coffee, lycopene intake and statin use tended to be associated with lower rates of lethal prostate cancer. Results for other risk factors were less precise but compatible with and of similar direction as for men in the overall cohort. CONCLUSIONS Risk factors for future prostate cancer among men with a negative biopsy were generally consistent with those for the general population, supporting their validity given reduced detection bias, and could be actionable, if confirmed.
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Affiliation(s)
- Xiaoshuang Feng
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Yiwen Zhang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - J Bailey Vaselkiv
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Ruifeng Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Paul L Nguyen
- Department of Radiation Oncology, Brigham and Women's Hospital/Dana Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Kathryn L Penney
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Konrad H Stopsack
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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Gulati R, Nyame YA, Lange JM, Shoag JE, Tsodikov A, Etzioni R. Racial disparities in prostate cancer mortality: a model-based decomposition of contributing factors. J Natl Cancer Inst Monogr 2023; 2023:212-218. [PMID: 37947332 PMCID: PMC10637024 DOI: 10.1093/jncimonographs/lgad018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/22/2023] [Accepted: 06/27/2023] [Indexed: 11/12/2023] Open
Abstract
To investigate the relative contributions of natural history and clinical interventions to racial disparities in prostate cancer mortality in the United States, we extended a model that was previously calibrated to Surveillance, Epidemiology, and End Results (SEER) incidence rates for the general population and for Black men. The extended model integrated SEER data on curative treatment frequencies and cancer-specific survival. Starting with the model for all men, we replaced up to 9 components with corresponding components for Black men, projecting age-standardized mortality rates for ages 40-84 years at each step. Based on projections in 2019, the increased frequency of developing disease, more aggressive tumor features, and worse cancer-specific survival in Black men diagnosed at local-regional and distant stages explained 38%, 34%, 22%, and 8% of the modeled disparity in mortality. Our results point to intensified screening and improved care in Black men as priority areas to achieve greater equity.
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Affiliation(s)
- Roman Gulati
- Division of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yaw A Nyame
- Division of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Urology, University of Washington Medical Center, Seattle, WA, USA
| | - Jane M Lange
- Division of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Jonathan E Shoag
- Department of Urology, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Department of Urology, Weill Cornell Medicine, New York, NY, USA
| | - Alex Tsodikov
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Ruth Etzioni
- Division of Public Health Sciences, Biostatistics Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
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Ma Z, Han H, Zhou Z, Wang S, Liang F, Wang L, Ji H, Yang Y, Chen J. Machine learning-based establishment and validation of age-related patterns for predicting prognosis in non-small cell lung cancer within the context of the tumor microenvironment. IUBMB Life 2023; 75:941-956. [PMID: 37548145 DOI: 10.1002/iub.2768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 06/20/2023] [Indexed: 08/08/2023]
Abstract
Lung cancer (LC) is a leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) accounting for over 80% of cases. The impact of aging on clinical outcomes in NSCLC remains poorly understood, particularly with respect to the immune response. In this study, we explored the effects of aging on NSCLC using 307 genes associated with human aging from the Human Ageing Genomic Resources. We identified 53 aging-associated genes that significantly correlate with overall survival of NSCLC patients, including the clinically validated gene BUB1B. Furthermore, we developed an aging-associated enrichment score to categorize patients based on their aging subtypes and evaluated their prognostic and therapeutic response values in LC. Our analyses yielded two aging-associated subtypes with unique profiles in the tumor microenvironment, demonstrating varying responses to immunotherapy. Consensus clustering based on transcriptome profiles provided insights into the effects of aging on NSCLC and highlighted the potential of personalized therapeutic approaches tailored to aging subtypes. Our findings provide a new target and theoretical support for personalized therapeutic approaches in patients with NSCLC, offering insights into the potential impact of aging on cancer outcomes.
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Affiliation(s)
- Zeming Ma
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Haibo Han
- Department of Clinical Laboratory, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Zhiwei Zhou
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Shijie Wang
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Fan Liang
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
- Department of Clinical Laboratory, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Liang Wang
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Hong Ji
- Department of Clinical Laboratory, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Yue Yang
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Jinfeng Chen
- Department of Thoracic Surgery II, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
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Salmon C, Quesnel-Vallée A, Barnett TA, Benedetti A, Cloutier MS, Datta GD, Kestens Y, Nicolau B, Parent MÉ. Neighbourhood social deprivation and risk of prostate cancer. Br J Cancer 2023; 129:335-345. [PMID: 37188877 PMCID: PMC10338528 DOI: 10.1038/s41416-023-02299-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/24/2023] [Accepted: 04/28/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Striking geographic variations in prostate cancer incidence suggest an aetiological role for spatially-distributed factors. We assessed whether neighbourhood social deprivation, which can reflect limited social contacts, unfavourable lifestyle and environmental exposures, is associated with prostate cancer risk. METHODS In 2005-2012, we recruited 1931 incident prostate cancer cases and 1994 controls in a case-control study in Montreal, Canada. Lifetime residential addresses were linked to an area-based social deprivation index around recruitment (2006) and about 10 years earlier (1996). Logistic regression estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS Men residing in areas characterised by greater social deprivation had elevated prostate cancer risks (ORs of 1.54 and 1.60 for recent and past exposures, respectively; highest vs lowest quintiles), independently from area- and individual-level confounders and screening patterns. The increase in risk with recent high social deprivation was particularly elevated for high-grade prostate cancer at diagnosis (OR 1.87, 95% CI 1.32-2.64). Associations were more pronounced for neighbourhoods with higher proportions of separated/divorced or widowed individuals in the past, and with higher percentages of residents living alone recently. CONCLUSIONS These novel findings, suggesting that neighbourhood-level social deprivation increases the risk of prostate cancer, point out to potential targeted public health interventions.
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Affiliation(s)
- Charlotte Salmon
- Unité d'épidémiologie et de biostatistique, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Université du Québec, 531 Boulevard des Prairies, Laval, QC, H7V 1B7, Canada
| | - Amélie Quesnel-Vallée
- Department of Sociology, McGill University, 3460 McTavish Street, Montreal, QC, H3A 0E6, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 2001 McGill College Avenue, Montreal, QC, H3A 1G1, Canada
| | - Tracie A Barnett
- Department of Family Medicine, McGill University, 5858 Chemin de la Côte-des-Neiges, Montreal, QC, H3S 1Z1, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 2001 McGill College Avenue, Montreal, QC, H3A 1G1, Canada
- Respiratory Epidemiology and Clinical Research Unit, Research Institute of the McGill University Health Centre, 5252 Maisonneuve Boulevard, Montreal, QC, H4A 3S5, Canada
| | - Marie-Soleil Cloutier
- Centre Urbanisation Culture Société, Institut national de la recherche scientifique, Université du Québec, 385 Sherbrooke Street East, Montreal, QC, H2X 1E3, Canada
| | - Geetanjali D Datta
- Department of Medicine and Cancer Research Center for Health Equity, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Département de médecine sociale et préventive, École de santé publique, Université de Montréal, 7101 Avenue du Parc, Montreal, QC, H3N 1X9, Canada
- Centre de recherche en santé publique, 7101 Avenue du Parc, Montreal, QC, H3N 1X9, Canada
| | - Yan Kestens
- Département de médecine sociale et préventive, École de santé publique, Université de Montréal, 7101 Avenue du Parc, Montreal, QC, H3N 1X9, Canada
- Centre de recherche en santé publique, 7101 Avenue du Parc, Montreal, QC, H3N 1X9, Canada
| | - Belinda Nicolau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, 2001 McGill College Avenue, Montreal, QC, H3A 1G1, Canada
| | - Marie-Élise Parent
- Unité d'épidémiologie et de biostatistique, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Université du Québec, 531 Boulevard des Prairies, Laval, QC, H7V 1B7, Canada.
- Département de médecine sociale et préventive, École de santé publique, Université de Montréal, 7101 Avenue du Parc, Montreal, QC, H3N 1X9, Canada.
- Research Centre of the Centre Hospitalier de l'Université de Montréal, 850 rue Saint-Denis, Montreal, QC, H2X 0A9, Canada.
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Yang X, Chen H, Zhang S, Chen X, Sheng Y, Pang J. Association of cigarette smoking habits with the risk of prostate cancer: a systematic review and meta-analysis. BMC Public Health 2023; 23:1150. [PMID: 37316851 DOI: 10.1186/s12889-023-16085-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 06/09/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Association of cigarette smoking habits with the risk of prostate cancer is still a matter of debate. This systematic review and meta-analysis aimed to assess the association between cigarette smoking and prostate cancer risk. METHODS We conducted a systematic search on PubMed, Embase, Cochrane Library, and Web of Science without language or time restrictions on June 11, 2022. Literature search and study screening were performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. Prospective cohort studies that assessed the association between cigarette smoking habits and the risk of prostate cancer were included. Quality assessment was conducted using the Newcastle-Ottawa Scale. We used random-effects models to obtain pooled estimates and the corresponding 95% confidence intervals. RESULTS A total of 7296 publications were screened, of which 44 cohort studies were identified for qualitative analysis; 39 articles comprising 3 296 398 participants and 130 924 cases were selected for further meta-analysis. Current smoking had a significantly reduced risk of prostate cancer (RR, 0.74; 95% CI, 0.68-0.80; P < 0.001), especially in studies completed in the prostate-specific antigen screening era. Compared to former smokers, current smokers had a significant lower risk of PCa (RR, 0.70; 95% CI, 0.65-0.75; P < 0.001). Ever smoking showed no association with prostate cancer risk in overall analyses (RR, 0.96; 95% CI, 0.93-1.00; P = 0.074), but an increased risk of prostate cancer in the pre-prostate-specific antigen screening era (RR, 1.05; 95% CI, 1.00-1.10; P = 0.046) and a lower risk of prostate cancer in the prostate-specific antigen screening era (RR, 0.95; 95% CI, 0.91-0.99; P = 0.011) were observed. Former smoking did not show any association with the risk of prostate cancer. CONCLUSIONS The findings suggest that the lower risk of prostate cancer in smokers can probably be attributed to their poor adherence to cancer screening and the occurrence of deadly smoking-related diseases, and we should take measures to help smokers to be more compliant with early cancer screening and to quit smoking. TRIAL REGISTRATION This study was registered on PROSPERO (CRD42022326464).
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Affiliation(s)
- Xiangwei Yang
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, No.628 Zhenyuan Road, Shenzhen, 518107, China
| | - Hong Chen
- School of Nursing, LKS Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Shiqiang Zhang
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, No.628 Zhenyuan Road, Shenzhen, 518107, China
| | - Xianju Chen
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, No.628 Zhenyuan Road, Shenzhen, 518107, China
| | - Yiyu Sheng
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, No.628 Zhenyuan Road, Shenzhen, 518107, China
| | - Jun Pang
- Department of Urology, Kidney and Urology Center, Pelvic Floor Disorders Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, No.628 Zhenyuan Road, Shenzhen, 518107, China.
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Pan M, Li S, Liu F, Liang L, Shang J, Xia W, Cheng G, Hua L. A preoperative magnetic resonance imaging-based model to predict biochemical failure after radical prostatectomy. Sci Rep 2023; 13:452. [PMID: 36624154 PMCID: PMC9829893 DOI: 10.1038/s41598-022-26920-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/21/2022] [Indexed: 01/11/2023] Open
Abstract
To investigate if a magnetic resonance imaging (MRI)-based model reduced postoperative biochemical failure (BF) incidence in patients with prostate cancer (PCa). From June 2018 to January 2020, we retrospectively analyzed 967 patients who underwent prostate bi-parametric MRI and radical prostatectomy (RP). After inclusion criteria were applied, 446 patients were randomized into research (n = 335) and validation cohorts (n = 111) at a 3:1 ratio. In addition to clinical variables, MRI models also included MRI parameters. The area under the curve (AUC) of receiver operating characteristic and decision curves were analyzed. The risk of postoperative BF, defined as persistently high or re-elevated prostate serum antigen (PSA) levels in patients with PCa with no clinical recurrence. In the research (age 69 [63-74] years) and validation cohorts (age 69 [64-74] years), the postoperative BF incidence was 22.39% and 27.02%, respectively. In the research cohort, the AUC of baseline and MRI models was 0.780 and 0.857, respectively, with a significant difference (P < 0.05). Validation cohort results were consistent (0.753 vs. 0.865, P < 0.05). At a 20% risk threshold, the false positive rate in the MRI model was lower when compared with the baseline model (31% [95% confidence interval (CI): 9-39%] vs. 44% [95% CI: 15-64%]), with the true positive rate only decreasing by a little (83% [95% CI: 63-94%] vs. 87% [95% CI: 75-100%]). 32 of 100 RPs can been performed, with no raise in quantity of patients with missed BF. We developed and verified a MRI-based model to predict BF incidence in patients after RP using preoperative clinical and MRI-related variables. This model could be used in clinical settings.
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Affiliation(s)
- Minjie Pan
- grid.89957.3a0000 0000 9255 8984Department of Urology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, 213011 Jiangsu Province China
| | - Shouchun Li
- grid.89957.3a0000 0000 9255 8984Department of Urology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical University, Changzhou, 213011 Jiangsu Province China
| | - Fade Liu
- grid.89957.3a0000 0000 9255 8984Department of Urology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, 211100 Jiangsu Province China
| | - Linghui Liang
- grid.412676.00000 0004 1799 0784Department of Urology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 Jiangsu Province China
| | - Jinwei Shang
- grid.412676.00000 0004 1799 0784Department of Urology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 Jiangsu Province China
| | - Wei Xia
- grid.412676.00000 0004 1799 0784Department of Urology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029 Jiangsu Province China
| | - Gong Cheng
- Department of Urology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, China.
| | - Lixin Hua
- Department of Urology, First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu Province, China.
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Watts EL, Perez‐Cornago A, Fensom GK, Smith‐Byrne K, Noor U, Andrews CD, Gunter MJ, Holmes MV, Martin RM, Tsilidis KK, Albanes D, Barricarte A, Bueno‐de‐Mesquita B, Chen C, Cohn BA, Dimou NL, Ferrucci L, Flicker L, Freedman ND, Giles GG, Giovannucci EL, Goodman GE, Haiman CA, Hankey GJ, Huang J, Huang W, Hurwitz LM, Kaaks R, Knekt P, Kubo T, Langseth H, Laughlin G, Le Marchand L, Luostarinen T, MacInnis RJ, Mäenpää HO, Männistö S, Metter EJ, Mikami K, Mucci LA, Olsen AW, Ozasa K, Palli D, Penney KL, Platz EA, Rissanen H, Sawada N, Schenk JM, Stattin P, Tamakoshi A, Thysell E, Tsai CJ, Tsugane S, Vatten L, Weiderpass E, Weinstein SJ, Wilkens LR, Yeap BB, Allen NE, Key TJ, Travis RC. Circulating free testosterone and risk of aggressive prostate cancer: Prospective and Mendelian randomisation analyses in international consortia. Int J Cancer 2022; 151:1033-1046. [PMID: 35579976 PMCID: PMC7613289 DOI: 10.1002/ijc.34116] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 02/18/2022] [Accepted: 02/28/2022] [Indexed: 11/30/2022]
Abstract
Previous studies had limited power to assess the associations of testosterone with aggressive disease as a primary endpoint. Further, the association of genetically predicted testosterone with aggressive disease is not known. We investigated the associations of calculated free and measured total testosterone and sex hormone-binding globulin (SHBG) with aggressive, overall and early-onset prostate cancer. In blood-based analyses, odds ratios (OR) and 95% confidence intervals (CI) for prostate cancer were estimated using conditional logistic regression from prospective analysis of biomarker concentrations in the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group (up to 25 studies, 14 944 cases and 36 752 controls, including 1870 aggressive prostate cancers). In Mendelian randomisation (MR) analyses, using instruments identified using UK Biobank (up to 194 453 men) and outcome data from PRACTICAL (up to 79 148 cases and 61 106 controls, including 15 167 aggressive cancers), ORs were estimated using the inverse-variance weighted method. Free testosterone was associated with aggressive disease in MR analyses (OR per 1 SD = 1.23, 95% CI = 1.08-1.40). In blood-based analyses there was no association with aggressive disease overall, but there was heterogeneity by age at blood collection (OR for men aged <60 years 1.14, CI = 1.02-1.28; Phet = .0003: inverse association for older ages). Associations for free testosterone were positive for overall prostate cancer (MR: 1.20, 1.08-1.34; blood-based: 1.03, 1.01-1.05) and early-onset prostate cancer (MR: 1.37, 1.09-1.73; blood-based: 1.08, 0.98-1.19). SHBG and total testosterone were inversely associated with overall prostate cancer in blood-based analyses, with null associations in MR analysis. Our results support free testosterone, rather than total testosterone, in the development of prostate cancer, including aggressive subgroups.
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Affiliation(s)
- Eleanor L. Watts
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Aurora Perez‐Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Georgina K. Fensom
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Karl Smith‐Byrne
- Genomic Epidemiology BranchInternational Agency for Research on CancerLyonFrance
| | - Urwah Noor
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Colm D. Andrews
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Marc J. Gunter
- Section of Nutrition and MetabolismInternational Agency for Research on CancerLyonFrance
| | - Michael V. Holmes
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Medical Research Council Population Health Research Unit at the University of OxfordOxfordUK
| | - Richard M. Martin
- Department of Population Health Sciences, Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
- National Institute for Health Research (NIHR) Bristol Biomedical Research CentreUniversity Hospitals Bristol NHS Foundation Trust and Weston NHS Foundation Trust and the University of BristolBristolUK
| | - Konstantinos K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
- Department of Hygiene and EpidemiologyUniversity of Ioannina School of MedicineIoanninaGreece
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Aurelio Barricarte
- Navarra Public Health InstitutePamplonaSpain
- Navarra Institute for Health Research (IdiSNA)PamplonaSpain
- CIBER Epidemiology and Public Health CIBERESPMadridSpain
| | - Bas Bueno‐de‐Mesquita
- Centre for Nutrition, Prevention and Health ServicesNational Institute for Public Health and the Environment (RIVM)The Netherlands
| | - Chu Chen
- Program in Epidemiology, Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
- Department of Epidemiology, School of Public HealthUniversity of WashingtonSeattleWashingtonUSA
- Department of Otolaryngology: Head and Neck Surgery, School of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Barbara A. Cohn
- Child Health and Development StudiesPublic Health InstituteBerkeleyCaliforniaUSA
| | - Niki L. Dimou
- Section of Nutrition and MetabolismInternational Agency for Research on CancerLyonFrance
| | | | - Leon Flicker
- Medical SchoolUniversity of Western AustraliaPerthWestern AustraliaAustralia
- Western Australian Centre for Health and AgeingUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Graham G. Giles
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVictoriaAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia
- Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityMelbourneVictoriaAustralia
| | - Edward L. Giovannucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Channing Division of Network MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
- Department of NutritionHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Gary E. Goodman
- Program in Epidemiology, Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of MedicineUniversity of Southern California/Norris Comprehensive Cancer CenterLos AngelesCaliforniaUSA
| | - Graeme J. Hankey
- Medical SchoolUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Jiaqi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and EndocrinologyThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Wen‐Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Lauren M. Hurwitz
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Rudolf Kaaks
- Division of Cancer EpidemiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Paul Knekt
- Department of Public Health and WelfareNational Institute for Health and WelfareHelsinkiFinland
| | - Tatsuhiko Kubo
- Department of Public Health and Health Policy, Graduate School of Biomedical and Health SciencesHiroshima UniversityHiroshimaJapan
| | - Hilde Langseth
- Department of Epidemiology and Biostatistics, School of Public HealthImperial College LondonLondonUK
- Department of ResearchCancer Registry of NorwayOsloNorway
| | - Gail Laughlin
- Herbert Wertheim School of Public Health and Human Longevity ScienceUniversity of California San DiegoSan DiegoCaliforniaUSA
| | | | - Tapio Luostarinen
- Finnish Cancer RegistryInstitute for Statistical and Epidemiological Cancer ResearchHelsinkiFinland
| | - Robert J. MacInnis
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVictoriaAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Hanna O. Mäenpää
- Department of OncologyHelsinki University Central HospitalHelsinkiFinland
| | - Satu Männistö
- Department of Public Health and WelfareFinnish Institute for Health and WelfareHelsinkiFinland
| | - E. Jeffrey Metter
- Department of NeurologyThe University of Tennessee Health Science Center, College of MedicineMemphisTennesseeUSA
| | - Kazuya Mikami
- Departmemt of UrologyJapanese Red Cross Kyoto Daiichi HospitalKyotoJapan
| | - Lorelei A. Mucci
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Anja W. Olsen
- Department of Public HealthAarhus UniversityAarhusDenmark
- Danish Cancer SocietyResearch CenterCopenhagenDenmark
| | - Kotaro Ozasa
- Departmemt of EpidemiologyRadiation Effects Research FoundationHiroshimaJapan
| | - Domenico Palli
- Cancer Risk Factors and Life‐Style Epidemiology Unit, Institute for Cancer ResearchPrevention and Clinical Network – ISPROFlorenceItaly
| | - Kathryn L. Penney
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Channing Division of Network MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Elizabeth A. Platz
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMarylandUSA
| | - Harri Rissanen
- Department of Public Health and WelfareNational Institute for Health and WelfareHelsinkiFinland
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Jeannette M. Schenk
- Cancer Prevention Program, Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Pär Stattin
- Department of Surgical SciencesUppsala UniversityUppsalaSweden
| | | | - Elin Thysell
- Department of Medical BiosciencesUmeå UniversityUmeåSweden
| | - Chiaojung Jillian Tsai
- Department of Radiation OncologyMemorial Sloan Kettering Cancer CenterNew YorkNew YorkUSA
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health SciencesNational Cancer CenterTokyoJapan
| | - Lars Vatten
- Department of Public Health and Nursing, Faculty of MedicineNorwegian University of Science and TechnologyTrondheimNorway
| | - Elisabete Weiderpass
- Director Office, International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institutes of HealthBethesdaMarylandUSA
| | | | - Bu B. Yeap
- Medical SchoolUniversity of Western AustraliaPerthWestern AustraliaAustralia
- Department of Endocrinology and DiabetesFiona Stanley HospitalPerthWestern AustraliaAustralia
| | | | | | | | | | | | - Naomi E. Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- UK Biobank LtdStockportUK
| | - Timothy J. Key
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population HealthUniversity of OxfordOxfordUK
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Baboudjian M, Rajwa P, Barret E, Beauval JB, Brureau L, Créhange G, Dariane C, Fiard G, Fromont G, Gauthé M, Mathieu R, Renard-Penna R, Roubaud G, Ruffion A, Sargos P, Rouprêt M, Ploussard G. Vasectomy and Risk of Prostate Cancer: A Systematic Review and Meta-analysis. EUR UROL SUPPL 2022; 41:35-44. [PMID: 35633829 PMCID: PMC9130083 DOI: 10.1016/j.euros.2022.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/27/2022] [Indexed: 11/29/2022] Open
Abstract
Context Previous reports have shown an association between vasectomy and prostate cancer (PCa). However, there exist significant discrepancies between studies and systematic reviews due to a lack of strong causal association and residual confounding factors such as prostate-specific antigen (PSA) screening. Objective To assess the association between vasectomy and PCa, in both unadjusted and PSA screen-adjusted studies. Evidence acquisition We performed a systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses. The PubMed, Scopus, and Web of Science databases were searched in January 2022 for studies that analyzed the association between vasectomy and PCa. Evidence synthesis A total of 37 studies including 16 931 805 patients met our inclusion criteria. A pooled analysis from all studies showed a significant association between vasectomy and any-grade PCa (odds ratio [OR] 1.23; 95% confidence interval [CI], 1.10–1.37; p < 0.001; I2 = 96%), localized PCa (OR 1.08; 95% CI, 1.06–1.11; p < 0.00001; I2 = 31%), or advanced PCa (OR 1.07; 95% CI, 1.02–1.13; p = 0.006; I2 = 0%). The association with PCa remained significant when the analyses were restricted to studies with a low risk of bias (OR 1.06; 95% CI, 1.02–1.10; p = 0.02; I2 = 48%) or cohort studies (OR 1.09; 95% CI, 1.04–1.13; p < 0.0001; I2 = 64%). Among studies adjusted for PSA screening, the association with localized PCa (OR 1.06; 95% CI, 1.03–1.09; p < 0.001; I2 = 0%) remained significant. Conversely, vasectomy was no longer associated with localized high-grade (p = 0.19), advanced (p = 0.22), and lethal (p = 0.42) PCa. Conclusions Our meta-analysis found an association between vasectomy and any, mainly localized, PCa. However, the effect estimates of the association were increasingly close to null when examining studies of robust design and high quality. On exploratory analyses including studies, which adjusted for PSA screening, the association for aggressive and/or advanced PCa diminished. Patient summary In this study, we found an association between vasectomy and the risk of developing localized prostate cancer without being able to determine whether the procedure leads to a higher prostate cancer incidence.
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11
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Zhu Q, Meng Y, Li S, Xin J, Du M, Wang M, Cheng G. Association of genetic variants in autophagy-lysosome pathway genes with susceptibility and survival to prostate cancer. Gene 2022; 808:145953. [PMID: 34500048 DOI: 10.1016/j.gene.2021.145953] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 08/20/2021] [Accepted: 09/03/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND Previous studies have indicated the connections between autophagy-lysosome pathway genes dysfunction and prostate cancer, but few studies have investigated whether single nucleotide polymorphisms (SNPs) in autophagy-lysosome pathway genes are implicated in prostate cancer risk and survival. MATERIALS AND METHODS Logistic regression analysis and stepwise Cox regression analysis were conducted in 4,662 cases and 3,114 controls from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. The false positive rate probability (FPRP) method was applied to correct for multiple comparisons. Gene-based analysis was calculated by versatile gene-based association study approach. RESULTS We found that SLC11A1 rs7573065 significantly increased the risk of prostate cancer [adjusted odds ratio (OR) = 1.24, 95% confidence interval (CI) = 1.06-1.46, P = 7.02 × 10-3, FPRP = 0.082]. Furthermore, rs7573065 was confirmed as the independent predicator of overall survival (OS) for prostate cancer patients [Hazard ratio (HR) = 1.30, 95% CI = 1.01-1.66, P = 0.041]. The significant association between SLC11A1 and prostate cancer risk was calculated by gene-based analysis (P = 0.030). We also observed that the mRNA of SLC11A1 in prostate tumor tissues was significantly over-expressed than that in normal tissues. CONCLUSION This study suggested that rs7573065 in SLC11A1 was associated with an increased risk and poor OS of prostate cancer. Our findings may provide evidence for genetic variants in autophagy-lysosome pathway as the risk and prognostic biomarkers for prostate cancer.
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Affiliation(s)
- Qiuyuan Zhu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yixuan Meng
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shuwei Li
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Junyi Xin
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mulong Du
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meilin Wang
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Gong Cheng
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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12
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Association between vasectomy and risk of prostate cancer: a meta-analysis. Prostate Cancer Prostatic Dis 2021; 24:962-975. [PMID: 33927357 DOI: 10.1038/s41391-021-00368-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 03/12/2021] [Accepted: 04/12/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND The debate over the association between vasectomy and prostate cancer has been lasted about 40 years and there is no sign of stopping. In the present study, we aimed to evaluate whether vasectomy is associated with prostate cancer based on the most comprehensive and up-to-date evidence available. METHODS The PubMed, Cochrane Library, and EMBASE databases were systematically searched inception to March 14, 2021 without year or language restriction. Multivariable adjusted risk ratios (RRs) were used to assess each endpoint. Risk of bias was assessed using the Newcastle-Ottawa scale. RESULTS A total of 58 studies involving 16,989,237 participants fulfilled inclusion criteria. There was significant association of vasectomy with risk of any prostate cancer (risk ratio, 1.18, 95% CI, 1.07-1.31). Association between vasectomy and advanced prostate cancer (risk ratio, 1.06, 95% CI, 1.01-1.12), low-grade prostate cancer (risk ratio, 1.06, 95% CI, 1.02-1.10), and intermediate-grade prostate cancer (risk ratio, 1.12, 95% CI, 1.03-1.22) were significant. There was no significant association between vasectomy and prostate cancer-specific mortality (risk ratio, 1.01, 95% CI, 0.93-1.10). CONCLUSIONS This study found that vasectomy was associated with the risk of any prostate cancer and advanced prostate cancer. From the current evidence, patients should be fully informed of the risk of prostate cancer before vasectomy.
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Hendrix N, Gulati R, Jiao B, Kader AK, Ryan ST, Etzioni R. Clarifying the Trade-Offs of Risk-Stratified Screening for Prostate Cancer: A Cost-Effectiveness Study. Am J Epidemiol 2021; 190:2064-2074. [PMID: 34023874 DOI: 10.1093/aje/kwab155] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 05/13/2021] [Accepted: 05/18/2021] [Indexed: 12/18/2022] Open
Abstract
Cancer risk prediction is necessary for precision early detection, which matches screening intensity to risk. However, practical steps for translating risk predictions to risk-stratified screening policies are not well established. We used a validated population prostate-cancer model to simulate the outcomes of strategies that increase intensity for men at high risk and reduce intensity for men at low risk. We defined risk by the Prompt Prostate Genetic Score (PGS) (Stratify Genomics, San Diego, California), a germline genetic test. We first recalibrated the model to reflect the disease incidence observed within risk strata using data from a large prevention trial where some participants were tested with Prompt PGS. We then simulated risk-stratified strategies in a population with the same risk distribution as the trial and evaluated the cost-effectiveness of risk-stratified screening versus universal (risk-agnostic) screening. Prompt PGS risk-adapted screening was more cost-effective when universal screening was conservative. Risk-stratified strategies improved outcomes at a cost of less than $100,000 per quality-adjusted life year compared with biennial screening starting at age 55 years, but risk stratification was not cost-effective compared with biennial screening starting at age 45. Heterogeneity of risk and fraction of the population within each stratum were also important determinants of cost-effectiveness.
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14
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Salmon C, Song L, Muir K, Pashayan N, Dunning AM, Batra J, Chambers S, Stanford JL, Ostrander EA, Park JY, Lin HY, Cussenot O, Cancel-Tassin G, Menegaux F, Cordina-Duverger E, Kogevinas M, Llorca J, Kaneva R, Slavov C, Razack A, Lim J, Gago-Dominguez M, Castelao JE, Kote-Jarai Z, Eeles RA, Parent MÉ. Marital status and prostate cancer incidence: a pooled analysis of 12 case-control studies from the PRACTICAL consortium. Eur J Epidemiol 2021; 36:913-925. [PMID: 34275018 DOI: 10.1007/s10654-021-00781-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 06/23/2021] [Indexed: 10/20/2022]
Abstract
While being in a committed relationship is associated with a better prostate cancer prognosis, little is known about how marital status relates to its incidence. Social support provided by marriage/relationship could promote a healthy lifestyle and an increased healthcare seeking behavior. We investigated the association between marital status and prostate cancer risk using data from the PRACTICAL Consortium. Pooled analyses were conducted combining 12 case-control studies based on histologically-confirmed incident prostate cancers and controls with information on marital status prior to diagnosis/interview. Marital status was categorized as married/partner, separated/divorced, single, or widowed. Tumours with Gleason scores ≥ 8 defined high-grade cancers, and low-grade otherwise. NCI-SEER's summary stages (local, regional, distant) indicated the extent of the cancer. Logistic regression was used to derive odds ratios (ORs) and 95% confidence intervals (CI) for the association between marital status and prostate cancer risk, adjusting for potential confounders. Overall, 14,760 cases and 12,019 controls contributed to analyses. Compared to men who were married/with a partner, widowed men had an OR of 1.19 (95% CI 1.03-1.35) of prostate cancer, with little difference between low- and high-grade tumours. Risk estimates among widowers were 1.14 (95% CI 0.97-1.34) for local, 1.53 (95% CI 1.22-1.92) for regional, and 1.56 (95% CI 1.05-2.32) for distant stage tumours. Single men had elevated risks of high-grade cancers. Our findings highlight elevated risks of incident prostate cancer among widowers, more often characterized by tumours that had spread beyond the prostate at the time of diagnosis. Social support interventions and closer medical follow-up in this sub-population are warranted.
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Affiliation(s)
- Charlotte Salmon
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, University of Quebec, 531 boul. des Prairies, Laval, QC, H7V 1B7, Canada
| | - Lixin Song
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- School of Nursing, University of North Carolina, Chapel Hill, NC, USA
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Nora Pashayan
- Department of Applied Health Research, University College London, London, WC1E 7HB, UK
- Strangeways Laboratory, Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Worts Causeway, Cambridge, CB1 8RN, UK
| | - Alison M Dunning
- Strangeways Laboratory, Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Worts Causeway, Cambridge, CB1 8RN, UK
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia
- Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Suzanne Chambers
- Faculty of Health Sciences, Australian Catholic University, Sydney, Australia
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Rm. 5351, Bethesda, MD, 20892, USA
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Hui-Yi Lin
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, 70112, USA
| | - Olivier Cussenot
- Sorbonne Université, GRC n°5, AP-HP, Tenon Hospital, 4 rue de la Chine, 75020, Paris, France
- CeRePP, Tenon Hospital, 75020, Paris, France
| | - Géraldine Cancel-Tassin
- Sorbonne Université, GRC n°5, AP-HP, Tenon Hospital, 4 rue de la Chine, 75020, Paris, France
- CeRePP, Tenon Hospital, 75020, Paris, France
| | - Florence Menegaux
- Exposome and Heredity Team, CESP, UVSQ, INSERM, Gustave Roussy, Paris-Saclay University, 94805, Villejuif, France
| | - Emilie Cordina-Duverger
- Exposome and Heredity Team, CESP, UVSQ, INSERM, Gustave Roussy, Paris-Saclay University, 94805, Villejuif, France
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología Y Salud Pública (CIBERESP), 28029, Madrid, Spain
| | - Javier Llorca
- CIBER Epidemiología Y Salud Pública (CIBERESP), 28029, Madrid, Spain
- University of Cantabria, 39005, Santander, Spain
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, 2 Zdrave Str., 1431, Sofia, Bulgaria
| | - Chavdar Slavov
- Department of Urology and Alexandrovska University Hospital, Medical University of Sofia, 1431, Sofia, Bulgaria
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Jasmine Lim
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigacion Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saúde, SERGAS, 15706, Santiago de Compostela, Spain
- Department of Family Medicine and Public Health, Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093-0012, USA
| | - Jose Esteban Castelao
- Genetic Oncology Unit, CHUVI Hospital, Complexo Hospitalario Universitario de Vigo, Instituto de Investigación Biomédica Galicia Sur (IISGS), 36204, Vigo (Pontevedra), Spain
| | | | - Rosalind A Eeles
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, University of Quebec, 531 boul. des Prairies, Laval, QC, H7V 1B7, Canada.
- School of Public Health, University of Montreal, Montreal, QC, Canada.
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15
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Cheng S, Yang B, Xu L, Zheng Q, Ding G, Li G. Vasectomy and prostate cancer risk: a meta-analysis of prospective studies. Carcinogenesis 2021; 42:31-37. [PMID: 32772072 DOI: 10.1093/carcin/bgaa086] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 07/07/2020] [Accepted: 08/01/2020] [Indexed: 12/31/2022] Open
Abstract
Epidemiological cohort studies investigating the association between vasectomy and prostate cancer risk have yielded inconsistent results. The aim of the present meta-analysis is to update the evidence on the association between vasectomy and prostate cancer. A comprehensively literature search of relevant studies was performed in December 2019 using PubMed. A DerSimonian and Laird random-effects model was used to calculate the summary relative risk (RR) and its 95% confidence interval (CI). A total of 15 eligible cohort studies (16 data sets) with more than four million of participants were eventually included in this meta-analysis. There was a statistically significant higher risk of prostate cancer among men who underwent vasectomy (RR: 1.09, 95% CI: 1.04-1.13) with obvious heterogeneity among included studies (P < 0.001, I2 = 64.2%). Vasectomy was also associated with the risk of advanced prostate cancer (RR: 1.07, 95% CI: 1.02-1.13), which is less likely to be affected from detection bias. In conclusion, findings from this meta-analysis of prospective studies indicate that vasectomy may be positively associated with the risk of prostate cancer. Further large prospective studies with long follow-up are warranted to verify the findings from this meta-analysis. In addition, the potential underlying molecular mechanism needed further exploration with in vitro and animal studies.
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Affiliation(s)
- Sheng Cheng
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Bo Yang
- Department of Urology, Shanghai Zhou Pu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
| | - Liwei Xu
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Qiming Zheng
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Guoqing Ding
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
| | - Gonghui Li
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China
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16
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Chiam K, Bang A, Patel MI, Nair-Shalliker V, O'Connell DL, Smith DP. Characteristics Associated with the Use of Diagnostic Prostate Biopsy and Biopsy Outcomes in Australian Men. Cancer Epidemiol Biomarkers Prev 2021; 30:1735-1743. [PMID: 34155065 DOI: 10.1158/1055-9965.epi-20-1571] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 02/28/2021] [Accepted: 06/04/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Population characteristics associated with the use of prostate biopsy are poorly understood. We described the use of diagnostic prostate biopsy and subsequent biopsy outcomes in a population-based Australian cohort. METHODS A total of 91,764 men from the Sax Institute's 45 and Up Study (New South Wales, Australia) recruited during 2006 to 2009 were included. Self-completed baseline questionnaires and linked administrative health data were used. Study period was from the date of recruitment to December 2013. Cox regression and logistic regression identified factors associated with receipt of biopsy and subsequent prostate cancer diagnosis. RESULTS During the study period, 5,089 participants had a diagnostic prostate biopsy, and 2,805 men (55.1% of those biopsied) received a cancer diagnosis. Men with a family history of prostate cancer (HR 1.55; 95% confidence interval (CI), 1.43-1.68), severe lower urinary tract symptoms (HR 1.62; 95% CI, 1.41-1.86), or a record of medication for benign prostatic hyperplasia (HR 1.34; 95% CI, 1.23-1.47) had increased risks of receiving a biopsy. Men with a family history of prostate cancer had increased odds of a positive biopsy (OR 1.21; 95% CI, 1.01-1.43). High alcohol consumption (≥21 drinks per week compared with 1-6 drinks per week) was associated with decreased risk of biopsy (HR 0.88; 95% CI, 0.80-0.96) but increased odds of a positive biopsy (OR 1.63; 95% CI, 1.32-2.02). CONCLUSIONS Certain characteristics are associated with both undertaking diagnostic prostate biopsy and positive biopsy outcomes. IMPACT This highlights the need to improve management of specific groups of men, especially those with clinical symptoms that overlap with prostate cancer, in their investigation for prostate cancer.
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Affiliation(s)
- Karen Chiam
- Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, New South Wales, Australia.
| | - Albert Bang
- Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, New South Wales, Australia
| | - Manish I Patel
- Department of Urology, Westmead Hospital, New South Wales, Australia
- Discipline of Surgery, Sydney Medical School, University of Sydney, New South Wales, Australia
| | - Visalini Nair-Shalliker
- Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, New South Wales, Australia
- Department of Clinical Medicine, Macquarie University, New South Wales, Australia
| | - Dianne L O'Connell
- Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, New South Wales, Australia
| | - David P Smith
- Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, New South Wales, Australia
- Menzies Health Institute, Griffith University, Queensland, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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17
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Chen ZH, Yang KB, Zhang YZ, Wu CF, Wen DW, Lv JW, Zhu GL, Du XJ, Chen L, Zhou GQ, Liu Q, Sun Y, Ma J, Xu C, Lin L. Assessment of Modifiable Factors for the Association of Marital Status With Cancer-Specific Survival. JAMA Netw Open 2021; 4:e2111813. [PMID: 34047792 PMCID: PMC8164101 DOI: 10.1001/jamanetworkopen.2021.11813] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
IMPORTANCE Married patients with cancer have better cancer-specific survival than unmarried patients. Increasing the early diagnosis and definitive treatment of cancer among unmarried patients may reduce the survival gap. OBJECTIVES To evaluate the extent to which marriage is associated with cancer-specific survival, stage at diagnosis, and treatment among patients with 9 common solid cancers and to recommend methods for reducing the survival gap. DESIGN, SETTING, AND PARTICIPANTS This retrospective, population-based cohort study included patients older than 18 years who were diagnosed with 1 of 9 common cancers between January 1, 2007, and December 31, 2016. Patient data were retrieved from the Surveillance, Epidemiology, and End Results Program. Statistical analyses were performed from August 1 to October 1, 2020. EXPOSURES Marital status, classified as married and unmarried (including single, separated, divorced, widowed, and unmarried patients or domestic partners). MAIN OUTCOMES AND MEASURES The primary outcome was the time ratio (TR) of cancer-specific survival (married vs unmarried). Mediation analyses were conducted to determine the extent to which the association of marriage with cancer-specific survival was mediated by stage at diagnosis and treatment. RESULTS This study included 1 733 906 patients (894 379 [51.6%] women; 1 067 726 [61.6%] married; mean [SD] age, 63.76 [12.60] years). Multivariate analyses found that those who were married were associated with better cancer-specific survival than unmarried patients (TR, 1.36; 95% CI, 1.35-1.37). Early diagnosis in breast cancer, colorectal cancer, endometrial cancer, and melanoma mediated the association between marital status and cancer-specific survival (breast cancer: proportion mediated [PM], 11.4%; 95% CI, 11.2%-11.6%; colorectal cancer: PM, 10.9%; 95% CI, 10.7%-11.2%; endometrial cancer: PM, 12.9%; 95% CI, 12.5%-13.3%; melanoma: PM, 12.0%; 95% CI, 11.7-12.4%). Surgery mediated the association between marital status and cancer-specific survival in lung (PM, 52.2%; 95% CI, 51.9%-52.4%), pancreatic (PM, 28.9%; 95% CI, 28.6%-29.3%), and prostate (PM, 39.3%; 95% CI, 39.0%-39.6%) cancers. Chemotherapy mediated the association of marital status with cancer-specific survival in lung (PM, 37.7%; 95% CI, 37.6%-37.9%) and pancreatic (PM, 28.6%; 95% CI, 28.4%-28.9%) cancers. Improved cancer-specific survival associated with marriage was greater among men than women (men: TR, 1.27; 95% CI, 1.25-1.28; women: TR, 1.20; 95% CI, 1.19-1.21). The contribution of receiving an early diagnosis and treatment with surgery or chemotherapy to the association between marital status and cancer-specific survival was greater among men than women (early diagnosis: PM, 21.7% [95% CI, 21.5%-21.9%] vs PM, 20.3% [95% CI, 20.2%-20.4%]; surgery: PM, 26.6% [95% CI, 26.4%-26.7%] vs PM, 11.1% [95% CI, 11.0%-11.2%]; chemotherapy: PM, 6.8% [95% CI, 6.7%-6.8%] vs PM, 5.1% [95% CI, 5.0%-5.2%]). CONCLUSIONS AND RELEVANCE In this study, survival disparities associated with marital status were attributable to early diagnosis in breast, colorectal, and endometrial cancers as well as melanoma and to treatment-related variables in lung, pancreatic, and prostate cancers. The findings also suggest that marriage may play a greater protective role in the cancer-specific survival of men than of women.
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Affiliation(s)
- Zi-Hang Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Kai-Bin Yang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yuan-zhe Zhang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Chen-Fei Wu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Dan-Wan Wen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Jia-Wei Lv
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Guang-Li Zhu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Xiao-Jing Du
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Lei Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Guan-Qun Zhou
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Qing Liu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ying Sun
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Jun Ma
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Cheng Xu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
| | - Li Lin
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People’s Republic of China
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18
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Aleshin-Guendel S, Lange J, Goodman P, Weiss NS, Etzioni R. A Latent Disease Model to Reduce Detection Bias in Cancer Risk Prediction Studies. Eval Health Prof 2021; 44:42-49. [PMID: 33506704 PMCID: PMC8279086 DOI: 10.1177/0163278720984203] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In studies of cancer risk, detection bias arises when risk factors are associated with screening patterns, affecting the likelihood and timing of diagnosis. To eliminate detection bias in a screened cohort, we propose modeling the latent onset of cancer and estimating the association between risk factors and onset rather than diagnosis. We apply this framework to estimate the increase in prostate cancer risk associated with black race and family history using data from the SELECT prostate cancer prevention trial, in which men were screened and biopsied according to community practices. A positive family history was associated with a hazard ratio (HR) of prostate cancer onset of 1.8, lower than the corresponding HR of prostate cancer diagnosis (HR = 2.2). This result comports with a finding that men in SELECT with a family history were more likely to be biopsied following a positive PSA test than men with no family history. For black race, the HRs for onset and diagnosis were similar, consistent with similar patterns of screening and biopsy by race. If individual screening and diagnosis histories are available, latent disease modeling can be used to decouple risk of disease from risk of disease diagnosis and reduce detection bias.
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Affiliation(s)
| | - Jane Lange
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Noel S Weiss
- Fred Hutchinson Cancer Research Center, Seattle, WA
- University of Washington, Department of Epidemiology
| | - Ruth Etzioni
- University of Washington, Department of Biostatistics, Seattle, WA
- Fred Hutchinson Cancer Research Center, Seattle, WA
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19
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Giganti F, Stabile A, Stavrinides V, Osinibi E, Retter A, Orczyk C, Panebianco V, Trock BJ, Freeman A, Haider A, Punwani S, Allen C, Kirkham A, Emberton M, Moore CM. Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohort. Eur Radiol 2020; 31:1644-1655. [PMID: 33000302 PMCID: PMC7880925 DOI: 10.1007/s00330-020-07256-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 07/28/2020] [Accepted: 09/01/2020] [Indexed: 12/29/2022]
Abstract
Objectives The PRECISE recommendations for magnetic resonance imaging (MRI) in patients on active surveillance (AS) for prostate cancer (PCa) include repeated measurement of each lesion, and attribution of a PRECISE radiological progression score for the likelihood of clinically significant change over time. We aimed to compare the PRECISE score with clinical progression in patients who are managed using an MRI-led AS protocol. Methods A total of 553 patients on AS for low- and intermediate-risk PCa (up to Gleason score 3 + 4) who had two or more MRI scans performed between December 2005 and January 2020 were included. Overall, 2161 scans were retrospectively re-reported by a dedicated radiologist to give a PI-RADS v2 score for each scan and assess the PRECISE score for each follow-up scan. Clinical progression was defined by histological progression to ≥ Gleason score 4 + 3 (Gleason Grade Group 3) and/or initiation of active treatment. Progression-free survival was assessed using Kaplan-Meier curves and log-rank test was used to assess differences between curves. Results Overall, 165/553 (30%) patients experienced the primary outcome of clinical progression (median follow-up, 74.5 months; interquartile ranges, 53–98). Of all patients, 313/553 (57%) did not show radiological progression on MRI (PRECISE 1–3), of which 296/313 (95%) had also no clinical progression. Of the remaining 240/553 patients (43%) with radiological progression on MRI (PRECISE 4–5), 146/240 (61%) experienced clinical progression (p < 0.0001). Patients with radiological progression on MRI (PRECISE 4-5) showed a trend to an increase in PSA density. Conclusions Patients without radiological progression on MRI (PRECISE 1-3) during AS had a very low likelihood of clinical progression and many could avoid routine re-biopsy. Key Points • Patients without radiological progression on MRI (PRECISE 1–3) during AS had a very low likelihood of clinical progression and many could avoid routine re-biopsy. • Clinical progression was almost always detectable in patients with radiological progression on MRI (PRECISE 4–5) during AS. • Patients with radiological progression on MRI (PRECISE 4–5) during AS showed a trend to an increase in PSA density. Electronic supplementary material The online version of this article (10.1007/s00330-020-07256-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Francesco Giganti
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK. .,Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK.
| | - Armando Stabile
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK.,Department of Urology and Division of Experimental Oncology, Vita-Salute San Raffaele University, Milan, Italy
| | - Vasilis Stavrinides
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK.,Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Elizabeth Osinibi
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK
| | - Adam Retter
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK.,Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK
| | - Clément Orczyk
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK.,Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy
| | - Bruce J Trock
- The James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alex Freeman
- Department of Pathology, University College London Hospital NHS Foundation Trust, London, UK
| | - Aiman Haider
- Department of Pathology, University College London Hospital NHS Foundation Trust, London, UK
| | - Shonit Punwani
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK.,Centre for Medical Imaging, University College London, London, UK
| | - Clare Allen
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Alex Kirkham
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Mark Emberton
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK.,Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Caroline M Moore
- Division of Surgery & Interventional Science, University College London, 3rd Floor, Charles Bell House, 43-45 Foley St., London, W1W 7TS, UK.,Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
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20
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Hurwitz LM, Kulac I, Gumuskaya B, Valle JABD, Benedetti I, Pan F, Liu JO, Marrone MT, Arnold KB, Goodman PJ, Tangen CM, Lucia MS, Thompson IM, Drake CG, Isaacs WB, Nelson WG, De Marzo AM, Platz EA. Use of Aspirin and Statins in Relation to Inflammation in Benign Prostate Tissue in the Placebo Arm of the Prostate Cancer Prevention Trial. Cancer Prev Res (Phila) 2020; 13:853-862. [PMID: 32581009 DOI: 10.1158/1940-6207.capr-19-0450] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 01/03/2020] [Accepted: 06/15/2020] [Indexed: 11/16/2022]
Abstract
Aspirin and statin use may lower the risk of advanced/fatal prostate cancer, possibly by reducing intraprostatic inflammation. To test this hypothesis, we investigated the association of aspirin and statin use with the presence and extent of intraprostatic inflammation, and the abundance of specific immune cell types, in benign prostate tissue from a subset of men from the placebo arm of the Prostate Cancer Prevention Trial. Men were classified as aspirin or statin users if they reported use at baseline or during the 7-year trial. Presence and extent of inflammation were assessed, and markers of specific immune cell types (CD4, CD8, FoxP3, CD68, and c-KIT) were scored, in slides from end-of-study prostate biopsies taken irrespective of clinical indication, per trial protocol. Logistic regression was used to estimate associations between medication use and inflammation measures, adjusted for potential confounders. Of 357 men included, 61% reported aspirin use and 32% reported statin use. Prevalence and extent of inflammation were not associated with medication use. However, aspirin users were more likely to have low FoxP3, a T regulatory cell marker [OR, 5.60; 95% confidence interval (CI), 1.16-27.07], and statin users were more likely to have low CD68, a macrophage marker (OR, 1.63; 95% CI, 0.81-3.27). If confirmed, these results suggest that these medications may alter the immune milieu of the prostate, which could potentially mediate effects of these medications on advanced/fatal prostate cancer risk.
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Affiliation(s)
- Lauren M Hurwitz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Ibrahim Kulac
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Pathology, Koç University School of Medicine, Istanbul, Turkey
| | - Berrak Gumuskaya
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Ines Benedetti
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Basic Sciences, School of Medicine, University of Cartagena, Cartagena, Colombia
| | - Fan Pan
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Jun O Liu
- Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Michael T Marrone
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kathryn B Arnold
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Phyllis J Goodman
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Catherine M Tangen
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - M Scott Lucia
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Ian M Thompson
- CHRISTUS Santa Rosa Hospital Medical Center, San Antonio, Texas
| | - Charles G Drake
- Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York
| | - William B Isaacs
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.,Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - William G Nelson
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.,Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Angelo M De Marzo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.,Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. .,Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.,Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
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21
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Huynh-Le MP, Myklebust TÅ, Feng CH, Karunamuni R, Johannesen TB, Dale AM, Andreassen OA, Seibert TM. Age dependence of modern clinical risk groups for localized prostate cancer-A population-based study. Cancer 2020; 126:1691-1699. [PMID: 31899813 PMCID: PMC7103486 DOI: 10.1002/cncr.32702] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 12/03/2019] [Accepted: 12/13/2019] [Indexed: 01/02/2023]
Abstract
BACKGROUND Optimal prostate cancer (PCa) screening strategies will focus on men likely to have potentially lethal disease. Age-specific incidence rates (ASIRs) by modern clinical risk groups could inform risk stratification efforts for screening. METHODS This cross-sectional population study identified all men diagnosed with PCa in Norway from 2014 to 2017 (n = 20,356). Age, Gleason score (primary plus secondary), and clinical stage were extracted. Patients were assigned to clinical risk groups: low, favorable intermediate, unfavorable intermediate, high, regional, and metastatic. Chi-square tests analyzed the independence of Gleason scores and modern PCa risk groups with age. ASIRs for each risk group were calculated as the product of Norwegian ASIRs for all PCa and the proportions observed for each risk category. RESULTS Older age was significantly associated with a higher Gleason score and more advanced disease. The percentages of men with Gleason 8 to 10 disease among men aged 55 to 59, 65 to 69, 75 to 79, and 85 to 89 years were 16.5%, 23.4%, 37.2%, and 59.9%, respectively (P < .001); the percentages of men in the same age groups with at least high-risk disease were 29.3%, 39.1%, 60.4%, and 90.6%, respectively (P < .001). The maximum ASIRs (per 100,000 men) for low-risk, favorable intermediate-risk, unfavorable intermediate-risk, high-risk, regional, and metastatic disease were 157.1 for those aged 65 to 69 years, 183.8 for those aged 65 to 69 years, 194.8 for those aged 70 to 74 years, 408.3 for those aged 75 to 79 years, 159.7 for those aged ≥85 years, and 314.0 for those aged ≥85 years, respectively. At the ages of 75 to 79 years, the ASIR of high-risk disease was approximately 6 times greater than the ASIR at 55 to 59 years. CONCLUSIONS The risk of clinically significant localized PCa increases with age. Healthy older men may benefit from screening.
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Affiliation(s)
- Minh-Phuong Huynh-Le
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Tor Åge Myklebust
- Department of Registration, Cancer Registry of Norway, Oslo, Norway
- Department of Research and Innovation, Møre and Romsdal Hospital Trust, Alesund, Norway
| | - Christine H. Feng
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
| | | | - Anders M. Dale
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Ole A. Andreassen
- NORMENT & K.G. Jebsen Center for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Tyler M. Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
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22
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Beebe-Dimmer JL, Kapron AL, Fraser AM, Smith KR, Cooney KA. Risk of Prostate Cancer Associated With Familial and Hereditary Cancer Syndromes. J Clin Oncol 2020; 38:1807-1813. [PMID: 32208047 DOI: 10.1200/jco.19.02808] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
PURPOSE Recently developed clinical guidelines suggest that men in families with specific cancer syndromes, such as hereditary breast and ovarian cancer (HBOC), consider genetic testing, especially in the setting of aggressive disease. However, although a family history (FH) of the same disease among close relatives is an established risk factor for prostate cancer (PC), a direct comparison of PC risk for men with each syndrome in a single population is needed. METHODS The Utah Population Database was used to identify 619,630 men, age ≥ 40 years, who were members of a pedigree that included at least 3 consecutive generations. Each man was evaluated for FH of hereditary PC (HPC), HBOC, and Lynch syndrome (LS) and for his own PC status. PC occurrences (N = 36,360) were classified into one or more subtypes: early onset (EO), lethal, and/or clinically significant. Relative risks (RRs) associated with each subtype, adjusted for important covariables, were calculated in STATA using a modified Poisson regression with robust error variances to obtain corresponding RR CIs for each FH definition. RESULTS An FH of HPC conveyed the greatest relative risk for all PC subtypes combined (RR, 2.30; 95% CI, 2.22 to 2.40), followed by HBOC and LS (both with 1 < RR < 2 and statistically significant). The strongest risks associated with FH were observed for EO disease in all pedigree types, consistent with the contribution of genetic factors to disease occurrence. CONCLUSION In this large, population-based, family database, the risk of PC varied by cancer FH and was most strongly associated with EO disease. These results are critically valuable in understanding and targeting high-risk populations that would benefit from genetic screening and enhanced surveillance.
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Affiliation(s)
- Jennifer L Beebe-Dimmer
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI.,Barbara Ann Karmanos Cancer Institute, Detroit, MI
| | | | - Alison M Fraser
- University of Utah, Salt Lake City, UT.,Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Ken R Smith
- University of Utah, Salt Lake City, UT.,Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
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23
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Abstract
Background Biomarker discovery studies have generated an array of omic data, however few novel biomarkers have reached clinical use. Guidelines for rigorous study designs are needed. Content Biases frequently occur in sample selection, outcome ascertainment, or unblinded sample handling and assaying process. The principles of a prospective-specimen collection and retrospective-blinded-evaluation (PRoBE) design can be adapted to mitigate various sources of biases in discovery. We recommend establishing quality biospecimen repositories using matched two-phase designs to minimize biases and maximize efficiency. We also highlight the importance of taking the clinical context into consideration in both sample selection and power calculation for discovery studies. Summary Biomarker discovery research should follow rigorous design principles in sample se- lection to avoid biases. Consideration of clinical application and the corresponding biomarker performance characteristics in study designs will lead to a more fruitful discovery study. Impact Appropriate study designs will improve the quality and clinical rigor of biomarker discovery studies.
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Affiliation(s)
- Yingye Zheng
- Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N., M2-B500, Seattle, Washington 98109, ,
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24
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Kensler KH, Rebbeck TR. Cancer Progress and Priorities: Prostate Cancer. Cancer Epidemiol Biomarkers Prev 2020; 29:267-277. [PMID: 32024765 PMCID: PMC7006991 DOI: 10.1158/1055-9965.epi-19-0412] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/10/2019] [Accepted: 12/03/2019] [Indexed: 02/06/2023] Open
Affiliation(s)
- Kevin H Kensler
- Division of Population Sciences, Dana-Farber Cancer Institute and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Timothy R Rebbeck
- Division of Population Sciences, Dana-Farber Cancer Institute and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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25
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Zhu K, Qin Z, Xue J, Miao C, Tian Y, Liu S, Zhu S, Gu Q, Hou C, Xu A, Yang J, Wang Z. Comparison of prostate cancer detection rates between magnetic resonance imaging-targeted biopsy and transrectal ultrasound-guided biopsy according to Prostate Imaging Reporting and Data System in patients with PSA ≥4 ng/mL: a systematic review and meta-analysis. Transl Androl Urol 2019; 8:741-753. [PMID: 32038971 DOI: 10.21037/tau.2019.12.03] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Background Previous studies have investigated magnetic resonance imaging-targeted biopsy (MRI-TBx) on the detection for prostate cancer (PCa). Prostate Imaging Reporting and Data System (PI-RADS), as a standardized MRI reporting system, has widely been used in the management of PCa. However, basing the PI-RADS score, the comparability between MRI-TBx and transrectal ultrasound-guided biopsy (TRUS-Bx) in diagnosing PCa remained inconsistent or even controversial. Thus, this systematic meta-analysis aimed to assess the value of PI-RADS in sifting better prostate biopsy method. Methods A meta-analysis including 10 articles was performed. In these included studies, biopsy-naive subjects with concerning PSA levels and/or an abnormal digital rectal examination (DRE) were consecutively enrolled by referral from urologists. All subjects underwent multiparameter MRI (mpMRI) prostate and the results were scored independently by PI-RADS. Subjects with equivocal (PI-RADS 3) and intermediate/high-risk (PI-RADS 4/5) lesions underwent MRI-TBx and followed by TRUS-Bx performed by a urologist. The online databases PubMed, Embase and Web of Science were searched to find all correlated articles until October 1st, 2019. Data were pooled by odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the associations. Subgroup analyses were conducted based on Gleason score. Results Overall, 10 studies were included in this meta-analysis from January, 2015 to June, 2019. In the comparison of the detection of MRI-TBx and TRUS-Bx in PCa patients, TRUS-Bx had a significant advantage in overall PCa detection compared with MRI-TBx (OR =0.78, 95% CI: 0.62-0.98) in PI-RADS 3. Basing subgroup analysis of Gleason score (csPCa: Gleason score ≥7; non-csPCa: Gleason score <7), a summary analysis of the detection rate of csPCa showed that no significant difference was found (OR =0.82, 95% CI: 0.58-1.16); Meanwhile, no significant difference in non-csPCa patients was also detected (OR =0.83, 95% CI: 0.53-1.28). In PI-RADS 4 or 5, no significant results were detected between MRI-TBx and TRUS-Bx (OR =0.96, 95% CI: 0.87-1.06) for overall PCa detection. The stratification analyses by Gleason score found that TRUS-Bx had an advantage over MRI-TBx in non-csPCa patients (OR =0.76, 95% CI: 0.60-0.98); However, there was no significant difference in the detection rate of csPCa (OR =1.05, 95% CI: 0.93-1.20). Conclusions This meta-analysis indicated that using TRUS-Bx was better than MRI-TBx for the diagnosis of PCa in PI-RADS 3; Besides, TRUS-Bx have an advantage over MRI-TBx in the detection for non-csPCa in PI-RADS 4 or 5. Therefore, PI-RADS could be used as a MRI evaluation system in the selection of prostate biopsy.
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Affiliation(s)
- Kai Zhu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Zhiqiang Qin
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Jianxin Xue
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.,Department of Urology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210003, China
| | - Chenkui Miao
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Ye Tian
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Shouyong Liu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Shenhao Zhu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Qi Gu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Chao Hou
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Aiming Xu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jie Yang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Zengjun Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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26
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Seikkula H, Kaipia A, Hirvonen E, Rantanen M, Pitkäniemi J, Malila N, Boström PJ. Vasectomy and the risk of prostate cancer in a Finnish nationwide population-based cohort. Cancer Epidemiol 2019; 64:101631. [PMID: 31760357 DOI: 10.1016/j.canep.2019.101631] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 11/05/2019] [Accepted: 11/11/2019] [Indexed: 11/28/2022]
Abstract
INTRODUCTION & OBJECTIVES There are conflicting reports on the association of vasectomy and the risk of prostate cancer (PCa). Our objective was to evaluate the association between vasectomy and PCa from a nationwide cohort in Finland. MATERIALS & METHODS Sterilization registry of Finland and the Finnish Cancer Registry data were utilized to identify all men who underwent vasectomy between years 1987-2014 in Finland. Standard incidence ratio (SIR) for PCa as well as all-cause standardized mortality ratios (SMR) were calculated. RESULTS We identified 38,124 men with vasectomy with a total of 429,937 person-years follow-up data. The median age at vasectomy was 39.7 years (interquartile range [IQR] 35.9-44.0), after vasectomy PCa was diagnosed in 413 men (122 cases 0-10 years, 219 cases 10-20 years and 72 cases >20 years from vasectomy). SIR for PCa for the vasectomy cohort was 1.15 (95% CI: 1.04-1.27). By the end of follow-up, 19 men had died from PCa, while the expected number was 20.5 (SMR 0.93 [95%CI: 0.56-1.44]). The overall mortality was decreased (SMR 0.54 [95%CI: 0.51-0.58]) among men with vasectomy. CONCLUSION We found a small statistically significant increase in PCa incidence after vasectomy, but in contrast the mortality of vasectomized men was significantly reduced. This may be due to higher likelihood of vasectomized men to undergo prostate-specific antigen testing, having healthier general lifestyle and other biological factors e.g. high reproductive fitness.
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Affiliation(s)
- Heikki Seikkula
- Department of Surgery, Central Hospital of Central Finland, Jyväskylä, Finland Keskussairaalantie 19, 40620, Jyväskylä, Finland.
| | - Antti Kaipia
- Department of Urology, Tampere University Hospital, Tampere, Finland PL 2000, 33521 Tampere, Finland.
| | - Elli Hirvonen
- Finnish Cancer Registry, Helsinki, Finland Unioninkatu 22, 00130, Helsinki, Finland.
| | - Matti Rantanen
- Finnish Cancer Registry, Helsinki, Finland Unioninkatu 22, 00130, Helsinki, Finland.
| | - Janne Pitkäniemi
- Finnish Cancer Registry, Helsinki, Finland Unioninkatu 22, 00130, Helsinki, Finland.
| | - Nea Malila
- Finnish Cancer Registry, Helsinki, Finland Unioninkatu 22, 00130, Helsinki, Finland; School of Health Sciences, University of Tampere, Finland.
| | - Peter J Boström
- Department of Urology, Turku University Hospital, Turku, Finland, Department of Urology, University of Turku, Turku, Finland Kiinamyllynkatu 4-8, 20100, Turku, Finland.
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27
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Beckmann K, Crawley D, Nordström T, Aly M, Olsson H, Lantz A, Binti Abd Jalal N, Garmo H, Adolfsson J, Eklund M, Van Hemelrijck M. Association Between Antidiabetic Medications and Prostate-Specific Antigen Levels and Biopsy Results. JAMA Netw Open 2019; 2:e1914689. [PMID: 31693126 PMCID: PMC6865613 DOI: 10.1001/jamanetworkopen.2019.14689] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
IMPORTANCE Diabetic men appear to have a lower risk of prostate cancer. Whether antidiabetic medications are protective or potentially mask prostate cancer by lowering prostate-specific antigen (PSA) levels is unclear. OBJECTIVE To examine the associations of antidiabetic medication use with (1) PSA levels, (2) frequency of PSA testing, (3) receipt of biopsy following elevated PSA results, and (4) prostate cancer detection at biopsy. DESIGN, SETTING, AND PARTICIPANTS Population-based cohort study using data from the Stockholm PSA and Biopsy Register. Participants were all prostate cancer-free men aged 40 to 79 years residing in Stockholm County, Sweden, between January 1, 2006, and December 31, 2015. Data were analyzed from November 2018 to March 2019. EXPOSURES One or more prescription for metformin, sulfonylurea, or insulin, as recorded in Sweden's National Prescribed Drug Register. MAIN OUTCOMES AND MEASURES Levels of PSA following first exposure to antidiabetic medications were assessed using multivariable linear regression. Frequency of PSA testing was assessed via multivariable Poisson regression. Biopsy following elevated PSA (≥3.0 ng/mL) and prostate cancer detection at biopsy were assessed via multivariable logistic regression. RESULTS The cohort of 564 666 men (median [range] age, 65 [40-79] years) consisted of 4583 men initially exposed to metformin, 1104 exposed to sulfonylurea, and 978 exposed to insulin who were age matched with unexposed men (1:5). Exposed men had lower median (interquartile range) PSA levels before starting antidiabetic medications compared with unexposed men (1.2 [0.7-2.5] vs 1.6 [0.8-3.2] ng/mL). After accounting for baseline differences, PSA levels did not vary from those of unexposed men following exposure to antidiabetic medications. Frequency of PSA testing was higher for those receiving metformin (rate ratio, 1.07; 95% CI, 1.06-1.09) and sulfonylurea (rate ratio, 1.06; 95% CI, 1.03-1.08) but was lower for those receiving insulin (rate ratio, 0.79; 95% CI, 0.77- 0.81). Likelihood of biopsy after elevated PSA was lower among men receiving metformin (odds ratio, 0.87; 95% CI, 0.80-0.96) and insulin (odds ratio, 0.83; 95% CI, 0.74-0.93). There were no differences in prostate cancer detection at biopsy, regardless of PSA levels that triggered the biopsy. CONCLUSIONS AND RELEVANCE This study's findings do not support the hypothesis that the inverse association between diabetes and prostate cancer is mediated through antidiabetic medications lowering PSA levels to mask prostate cancer. They do suggest potential detection bias due to fewer biopsies among men receiving antidiabetic medications, which may explain the lower prostate cancer risk in men with diabetes.
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Affiliation(s)
- Kerri Beckmann
- Translational Oncology and Urology Research, Comprehensive Cancer Centre, King’s College London, London, United Kingdom
- University of South Australia Cancer Research Institute, University of South Australia, Adelaide, Australia
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Danielle Crawley
- Translational Oncology and Urology Research, Comprehensive Cancer Centre, King’s College London, London, United Kingdom
| | - Tobias Nordström
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Markus Aly
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Henrik Olsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna Lantz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Noor Binti Abd Jalal
- Translational Oncology and Urology Research, Comprehensive Cancer Centre, King’s College London, London, United Kingdom
| | | | - Jan Adolfsson
- Department of Clinical Science, Intervention, and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Martin Eklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mieke Van Hemelrijck
- Translational Oncology and Urology Research, Comprehensive Cancer Centre, King’s College London, London, United Kingdom
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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28
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Tangen CM, Schenk J, Till C, Goodman PJ, Barrington W, Lucia MS, Thompson IM. Variations in prostate biopsy recommendation and acceptance confound evaluation of risk factors for prostate cancer: Examining race and BMI. Cancer Epidemiol 2019; 63:101619. [PMID: 31639607 DOI: 10.1016/j.canep.2019.101619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Revised: 09/23/2019] [Accepted: 09/29/2019] [Indexed: 01/30/2023]
Abstract
BACKGROUND Prostate cancer is ubiquitous in older men; differential screening patterns and variations in biopsy recommendations and acceptance will affect which man is diagnosed and, therefore, evaluation of cancer risk factors. We describe a statistical method to reduce prostate cancer detection bias among African American (n = 3398) and Non-Hispanic White men (n = 22,673) who participated in the Selenium and Vitamin E Cancer Prevention trial (SELECT) and revisit a previously reported association between race, obesity and prostate cancer risk. METHODS For men with screening values suggesting prostate cancer but in whom biopsy was not performed, the Prostate Cancer Prevention Trial Risk Calculator was used to estimate probability of prostate cancer. Associations of body mass index (BMI) and race with incident prostate cancer were compared for observed versus imputation-enhanced outcomes using incident density ratios. RESULTS Accounting for differential biopsy assessment, the previously reported positive linear trend between BMI and prostate cancer in African American men was not observed; no BMI association was found among Non-Hispanic White men. CONCLUSIONS Differential disease classification among men who may be recommended to undergo and then consider whether to accept a prostate biopsy leads to inaccurate identification of prostate cancer risk factors. Imputing a man's prostate cancer status reduces detection bias. Covariate adjustment does not address the problem of outcome misclassification. Cohorts evaluating incident prostate cancer should collect longitudinal screening and biopsy data to adjust for this potential bias.
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Affiliation(s)
- Catherine M Tangen
- From the SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
| | - Jeannette Schenk
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Cathee Till
- From the SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Phyllis J Goodman
- From the SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
| | - Wendy Barrington
- Department of Psychosocial and Community Health, The University of Washington, Seattle, WA, United States
| | - M Scott Lucia
- Department of Pathology, The University of Colorado Denver School of Medicine, Denver, CO, United States
| | - Ian M Thompson
- The Cancer Therapy and Research Center, Christus Santa Rosa Medical Center, San Antonio, TX, United States
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29
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Mehralivand S, Shih JH, Rais-Bahrami S, Oto A, Bednarova S, Nix JW, Thomas JV, Gordetsky JB, Gaur S, Harmon SA, Siddiqui MM, Merino MJ, Parnes HL, Wood BJ, Pinto PA, Choyke PL, Turkbey B. A Magnetic Resonance Imaging-Based Prediction Model for Prostate Biopsy Risk Stratification. JAMA Oncol 2019; 4:678-685. [PMID: 29470570 DOI: 10.1001/jamaoncol.2017.5667] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Importance Multiparametric magnetic resonance imaging (MRI) in conjunction with MRI-transrectal ultrasound (TRUS) fusion-guided biopsies have improved the detection of prostate cancer. It is unclear whether MRI itself adds additional value to multivariable prediction models based on clinical parameters. Objective To determine whether an MRI-based prediction model can reduce unnecessary biopsies in patients with suspected prostate cancer. Design, Setting, and Participants Patients underwent MRI, MRI-TRUS fusion-guided biopsy, and 12-core systematic biopsy in 1 session. The development cohort used to derive the prediction model consisted of 400 patients from 1 institution enrolled between May 14, 2015, and August 31, 2016, and the validation cohort included 251 patients from 2 independent institutions who underwent biopsies between April 1, 2013, and June 30, 2016, at 1 institution and between July 1, 2015, and October 31, 2016, at the other institution. The MRI model included MRI-derived parameters in addition to clinical variables. Area under the curve of receiver operating characteristic curves and decision curve analysis were performed. Main Outcomes and Measures Risk of clinically significant prostate cancer on biopsy, defined as a Gleason score of 3 + 4 or higher in at least 1 biopsy core. Results Overall, 193 (48.3%) of the 400 patients in the development cohort (mean [SD] age at biopsy, 64.3 [7.1] years) and 96 (38.2%) of the 251 patients in the validation cohort (mean [SD] age at biopsy, 64.9 [7.2] years) had clinically significant prostate cancer, defined as a Gleason score greater than or equal to 3 + 4. By applying the model to the external validation cohort, the area under the curve increased from 64% to 84% compared with the baseline model (P < .001). At a risk threshold of 20%, the MRI model had a lower false-positive rate than the baseline model (46% [95% CI, 32%-66%] vs 92% [95% CI, 70%-100%]), with only a small reduction in the true-positive rate (89% [95% CI, 85%-96%] vs 99% [95% CI, 89%-100%]). Eighteen of 100 fewer biopsies could have been performed, with no increase in the number of patients with missed clinically significant prostate cancers. Conclusions and Relevance The inclusion of MRI-derived parameters in a risk model could reduce the number of unnecessary biopsies while maintaining a high rate of diagnosis of clinically significant prostate cancers.
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Affiliation(s)
- Sherif Mehralivand
- Department of Urology and Pediatric Urology, University Medical Center, Mainz, Germany.,Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.,Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Joanna H Shih
- Division of Cancer Treatment and Diagnosis: Biometric Research Program, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Soroush Rais-Bahrami
- Department of Urology, University of Alabama at Birmingham.,Department of Radiology, University of Alabama at Birmingham
| | - Aytekin Oto
- Department of Radiology, University of Chicago Medical Center, Chicago, Illinois
| | - Sandra Bednarova
- Institute of Diagnostic Radiology, Department of Medical and Biological Sciences, University of Udine, Udine, Italy.,Center for Interventional Oncology, National Cancer Institute and Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Jeffrey W Nix
- Department of Urology, University of Alabama at Birmingham
| | - John V Thomas
- Department of Radiology, University of Alabama at Birmingham
| | | | - Sonia Gaur
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephanie A Harmon
- Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc, National Cancer Institute Campus at Frederick, Frederick, Maryland
| | | | - Maria J Merino
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Howard L Parnes
- Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Bradford J Wood
- Center for Interventional Oncology, National Cancer Institute and Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Peter A Pinto
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Peter L Choyke
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Baris Turkbey
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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30
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Hurwitz LM, Joshu CE, Barber JR, Prizment AE, Vitolins MZ, Jones MR, Folsom AR, Han M, Platz EA. Aspirin and Non-Aspirin NSAID Use and Prostate Cancer Incidence, Mortality, and Case Fatality in the Atherosclerosis Risk in Communities Study. Cancer Epidemiol Biomarkers Prev 2019; 28:563-569. [PMID: 30487131 PMCID: PMC6401240 DOI: 10.1158/1055-9965.epi-18-0965] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/17/2018] [Accepted: 11/20/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND NSAIDs appear to moderately reduce prostate cancer risk. However, evidence is limited on whether NSAIDs protect against prostate cancer mortality (death from prostate cancer among men without a cancer history) and case fatality (death from prostate cancer among men with prostate cancer), and whether benefits are consistent in white and black men. This study investigated associations of aspirin and non-aspirin (NA) NSAID use with prostate cancer incidence, mortality, and case fatality in a population-based cohort of white and black men. METHODS We included 6,594 men (5,060 white and 1,534 black) from the Atherosclerosis Risk in Communities study without a cancer history at enrollment from 1987 to 1989. NSAID use was assessed at four study visits (1987-1998). Cancer outcomes were ascertained through 2012. Cox proportional hazards regression was used to estimate adjusted HRs, overall and by race. RESULTS Aspirin use was not associated with prostate cancer incidence. However, aspirin use was inversely associated with prostate cancer mortality [HR, 0.59; 95% confidence interval (CI), 0.36-0.96]. This association was consistent among white and black men and appeared restricted to men using aspirin daily and/or for cardiovascular disease prevention. Aspirin use was inversely associated with case fatality (HR, 0.45; 95% CI, 0.22-0.94). NA-NSAID use was not associated with these endpoints. CONCLUSIONS Aspirin use was inversely associated with prostate cancer mortality and case fatality among white and black men. IMPACT If confirmed by additional studies, benefits of aspirin for preventing prostate cancer mortality may need to be factored into risk-benefit calculations of men considering an aspirin regimen.
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Affiliation(s)
- Lauren M Hurwitz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - John R Barber
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Anna E Prizment
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
| | - Mara Z Vitolins
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Miranda R Jones
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Misop Han
- Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
- Department of Urology and the James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland
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31
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Barber L, Gerke T, Markt SC, Peisch SF, Wilson KM, Ahearn T, Giovannucci E, Parmigiani G, Mucci LA. Family History of Breast or Prostate Cancer and Prostate Cancer Risk. Clin Cancer Res 2018; 24:5910-5917. [PMID: 30082473 PMCID: PMC6279573 DOI: 10.1158/1078-0432.ccr-18-0370] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 06/29/2018] [Accepted: 08/01/2018] [Indexed: 11/16/2022]
Abstract
PURPOSE Breast and prostate cancer co-occur in families, and women with a family history of prostate cancer are at increased breast cancer risk. Prostate cancer is among the most heritable cancers, but few studies have investigated its association with familial breast cancer. The objective of this study is to investigate the extent to which familial breast or prostate cancer in first-degree relatives increases prostate cancer risk. EXPERIMENTAL DESIGN A prospective study of 37,002 U.S. men in the Health Professionals Follow-up Study. During the 16-year follow-up to 2012, 4,208 total and 344 lethal cases were diagnosed. Using cause-specific hazards regression, we estimated the multivariable HRs and 95% confidence intervals (CI) for associations between familial breast or prostate cancer and total and lethal prostate cancer. RESULTS Those with familial breast cancer had a 21% greater risk of prostate cancer overall (95% CI, 1.10-1.34), and a 34% greater risk of lethal disease (HR 1.34; 95% CI, 0.96-1.89). Family history of prostate cancer alone was associated with a 68% increased risk of total disease (95% CI, 1.53-1.83) and a 72% increased risk of lethal disease (95% CI, 1.25-2.38). Men with a family history of both cancers were also at elevated risk. CONCLUSIONS Our study found that men with a family history of breast or prostate cancer had elevated prostate cancer risks, including risk of lethal disease. These findings have translational relevance for cancer risk prediction in men.
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Affiliation(s)
- Lauren Barber
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Travis Gerke
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Moffitt Cancer Center, Tampa, Florida
| | - Sarah C Markt
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Samuel F Peisch
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
| | - Kathryn M Wilson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Thomas Ahearn
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Divison of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Giovanni Parmigiani
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Masachusetts
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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Thompson I, Goodman P, Tangen C. Reduced Risk of Prostate Cancer With 5α-Reductase Inhibitors. J Natl Cancer Inst 2018; 110:1159-1160. [PMID: 29547919 DOI: 10.1093/jnci/djy038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 02/14/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
- Ian Thompson
- Medical Center, CHRISTUS Santa Rosa Hospital, San Antonio, TX
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Abstract
PURPOSE OF REVIEW We review the concepts surrounding prostate cancer prevention strategies with 5-alpha reductase inhibitors (5-ARIs) and the controversies associated with their use. RECENT FINDINGS Updated data have shown no increased risk of death from the diagnosis of higher risk cancer; however, 5-ARIs remain controversial and not approved for prostate cancer prevention. SUMMARY The main theme of the review identifies the success of reducing insignificant prostate cancer and the controversy with the increased association of higher risk prostate cancer by approximately 20%. The reduction was shown to be most significant reduction in low-grade prostate cancer. The initial concern about 5-ARI use was that it could potentially increase high-risk prostate cancer leading to higher mortality in those men. Higher mortality has not been seen in follow-up data; however, 5-ARIs continue to have a black box warning and are not approved for prostate cancer prevention.
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Serum cholesterol and risk of high-grade prostate cancer: results from the REDUCE study. Prostate Cancer Prostatic Dis 2017; 21:252-259. [PMID: 29282360 PMCID: PMC6021229 DOI: 10.1038/s41391-017-0030-9] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Accepted: 11/13/2017] [Indexed: 12/17/2022]
Abstract
Background Epidemiologic evidence for a serum cholesterol-prostate cancer link is mixed. Prostate-specific antigen (PSA) is positively correlated with cholesterol, potentially increasing PSA-driven biopsy recommendations in men with high cholesterol, though biopsy compliance may be lower in men with comorbid conditions. These potential biases may affect PSA-driven biopsy rates and subsequent prostate cancer detection in men with high serum cholesterol. Our objective was to test the association between serum cholesterol and prostate cancer risk in men receiving PSA-independent, study-mandated prostate biopsies. Methods We conducted a post-hoc analysis of data from 4,974 non-statin users in REDUCE, a randomized trial in men with elevated PSA and a negative baseline biopsy. Men underwent 2- and 4-year trial-mandated prostate biopsies. Associations between baseline serum levels of total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL) and prostate cancer risk, overall and by Gleason grade (<7 vs. ≥7), were examined using multivariable logistic regression. Results High total serum cholesterol was associated with an increased risk of high-grade prostate cancer diagnosis (ORper10mg/dl 1.05; 95% CI 1.00-1.09; p=0.048), but cholesterol was unrelated to either overall or low-grade prostate cancer risk (p-values>0.185). There was no association between serum LDL and overall, low- or high-grade prostate cancer risk (p-values>0.137). In contrast, elevated serum HDL was associated with increased risk of both overall (ORper10mg/dl 1.08; 95% CI 1.01-1.16; p=0.033) and high-grade prostate cancer (ORper10mg/dl 1.14; 95% CI 1.01-1.28; p=0.034). Conclusions In REDUCE, where all men received PSA-independent, trial-mandated biopsies thus ensuring complete prostate cancer ascertainment, high total serum cholesterol and high HDL were associated with increased risk of high-grade prostate cancer, supporting a cholesterol-prostate cancer link.
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Bhindi B, Wallis CJD, Nayan M, Farrell AM, Trost LW, Hamilton RJ, Kulkarni GS, Finelli A, Fleshner NE, Boorjian SA, Karnes RJ. The Association Between Vasectomy and Prostate Cancer: A Systematic Review and Meta-analysis. JAMA Intern Med 2017; 177:1273-1286. [PMID: 28715534 PMCID: PMC5710573 DOI: 10.1001/jamainternmed.2017.2791] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 05/07/2017] [Indexed: 12/30/2022]
Abstract
Importance Despite 3 decades of study, there remains ongoing debate regarding whether vasectomy is associated with prostate cancer. Objective To determine if vasectomy is associated with prostate cancer. Data Sources The MEDLINE, EMBASE, Web of Science, and Scopus databases were searched for studies indexed from database inception to March 21, 2017, without language restriction. Study Selection Cohort, case-control, and cross-sectional studies reporting relative effect estimates for the association between vasectomy and prostate cancer were included. Data Extraction and Synthesis Two investigators performed study selection independently. Data were pooled separately by study design type using random-effects models. The Newcastle-Ottawa Scale was used to assess risk of bias. Main Outcomes and Measures The primary outcome was any diagnosis of prostate cancer. Secondary outcomes were high-grade, advanced, and fatal prostate cancer. Results Fifty-three studies (16 cohort studies including 2 563 519 participants, 33 case-control studies including 44 536 participants, and 4 cross-sectional studies including 12 098 221 participants) were included. Of these, 7 cohort studies (44%), 26 case-control studies (79%), and all 4 cross-sectional studies were deemed to have a moderate to high risk of bias. Among studies deemed to have a low risk of bias, a weak association was found among cohort studies (7 studies; adjusted rate ratio, 1.05; 95% CI, 1.02-1.09; P < .001; I2 = 9%) and a similar but nonsignificant association was found among case-control studies (6 studies; adjusted odds ratio, 1.06; 95% CI, 0.88-1.29; P = .54; I2 = 37%). Effect estimates were further from the null when studies with a moderate to high risk of bias were included. Associations between vasectomy and high-grade prostate cancer (6 studies; adjusted rate ratio, 1.03; 95% CI, 0.89-1.21; P = .67; I2 = 55%), advanced prostate cancer (6 studies; adjusted rate ratio, 1.08; 95% CI, 0.98-1.20; P = .11; I2 = 18%), and fatal prostate cancer (5 studies; adjusted rate ratio, 1.02; 95% CI, 0.92-1.14; P = .68; I2 = 26%) were not significant (all cohort studies). Based on these data, a 0.6% (95% CI, 0.3%-1.2%) absolute increase in lifetime risk of prostate cancer associated with vasectomy and a population-attributable fraction of 0.5% (95% CI, 0.2%-0.9%) were calculated. Conclusions and Relevance This review found no association between vasectomy and high-grade, advanced-stage, or fatal prostate cancer. There was a weak association between vasectomy and any prostate cancer that was closer to the null with increasingly robust study design. This association is unlikely to be causal and should not preclude the use of vasectomy as a long-term contraceptive option.
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Affiliation(s)
- Bimal Bhindi
- Department of Urology, Mayo Clinic, Rochester, Minnesota
| | - Christopher J. D. Wallis
- Division of Urology, Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Madhur Nayan
- Division of Urology, Department of Surgery, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada
| | - Ann M. Farrell
- Mayo Clinic Libraries, Mayo Clinic, Rochester, Minnesota
| | | | - Robert J. Hamilton
- Division of Urology, Department of Surgery, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada
| | - Girish S. Kulkarni
- Division of Urology, Department of Surgery, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada
| | - Antonio Finelli
- Division of Urology, Department of Surgery, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada
| | - Neil E. Fleshner
- Division of Urology, Department of Surgery, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada
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Abstract
The relation between selenium and cancer has been one of the most hotly debated topics in human health over the last decades. Early observational studies reported an inverse relation between selenium exposure and cancer risk. Subsequently, randomized controlled trials showed that selenium supplementation does not reduce the risk of cancer and may even increase it for some types, including advanced prostate cancer and skin cancer. An increased risk of diabetes has also been reported. These findings have been consistent in the most methodologically sound trials, suggesting that the early observational studies were misleading. Other studies have investigated selenium compounds as adjuvant therapy for cancer. Though there is currently insufficient evidence regarding the utility and safety of selenium compounds for such treatments, this issue is worthy of further investigation. The study of selenium and cancer is complicated by the existence of a diverse array of organic and inorganic selenium compounds, each with distinct biological properties, and this must be taken into consideration in the interpretation of both observational and experimental human studies.
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Affiliation(s)
- Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), University of Modena and Reggio Emilia, Modena, Italy; Boston University School of Public Health, Boston, MA, United States.
| | - Tommaso Filippini
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), University of Modena and Reggio Emilia, Modena, Italy
| | - Silvia Cilloni
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), University of Modena and Reggio Emilia, Modena, Italy
| | - Catherine M Crespi
- Jonsson Comprehensive Cancer Center, UCLA Fielding School of Public Health, University of California, Los Angeles, CA, United States
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Sritharan J, Demers PA, Harris SA, Cole DC, Peters CE, Villeneuve PJ. Occupation and risk of prostate cancer in Canadian men: A case-control study across eight Canadian provinces. Cancer Epidemiol 2017; 48:96-103. [PMID: 28456092 DOI: 10.1016/j.canep.2017.04.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 04/02/2017] [Accepted: 04/10/2017] [Indexed: 11/30/2022]
Abstract
BACKGROUND The etiology of prostate cancer continues to be poorly understood, including the role of occupation. Past Canadian studies have not been able to thoroughly examine prostate cancer by occupation with detailed information on individual level factors. METHODS Occupation, industry and prostate cancer were examined using data from the National Enhanced Cancer Surveillance System, a large population-based case-control study conducted across eight Canadian provinces from 1994 to 1997. This analysis included 1737 incident cases and 1803 controls aged 50 to 79 years. Lifetime occupational histories were used to group individuals by occupation and industry employment. Odds ratios and 95% confidence intervals were calculated and adjustments were made for known and possible risk factors. RESULTS By occupation, elevated risks were observed in farming and farm management (OR=1.37, 95% CI 1.02-1.84), armed forces (OR=1.33, 95% CI 1.06-1.65) and legal work (OR=2.58, 95% CI 1.05-6.35). Elevated risks were also observed in office work (OR=1.20, 95% CI 1.00-1.43) and plumbing (OR=1.77, 95% CI 1.07-2.93) and with ≥10 years duration of employment. Decreased risks were observed in senior management (OR=0.65, 95% CI 0.46-0.91), construction management (OR=0.69, 95% CI 0.50-0.94) and travel work (OR=0.37, 95% CI 0.16-0.88). Industry results were similar to occupation results, except for an elevated risk in forestry/logging (OR=1.54, 95% CI 1.06-2.25) and a decreased risk in primary metal products (OR=0.70, 95% CI 0.51-0.96). CONCLUSION This study presents associations between occupation, industry and prostate cancer, while accounting for individual level factors. Further research is needed on potential job-specific exposures and screening behaviours.
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Affiliation(s)
- Jeavana Sritharan
- Occupational Cancer Research Centre, Cancer Care Ontario, Canada; Institute of Medical Science, University of Toronto, Canada.
| | - Paul A Demers
- Occupational Cancer Research Centre, Cancer Care Ontario, Canada; Institute of Medical Science, University of Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Canada
| | - Shelley A Harris
- Occupational Cancer Research Centre, Cancer Care Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Canada
| | - Donald C Cole
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Cheryl E Peters
- Department of Health Sciences, Carleton University, Canada; Institut Armand-Frappier, Institut National de la Recherche Scientifique, Canada; CHAIM Research Centre, Carleton University, Canada
| | | | - Paul J Villeneuve
- Occupational Cancer Research Centre, Cancer Care Ontario, Canada; CHAIM Research Centre, Carleton University, Canada
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Interactions of the Insulin-Like Growth Factor Axis and Vitamin D in Prostate Cancer Risk in the Prostate Cancer Prevention Trial. Nutrients 2017; 9:nu9040378. [PMID: 28417914 PMCID: PMC5409717 DOI: 10.3390/nu9040378] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 03/30/2017] [Accepted: 04/07/2017] [Indexed: 12/22/2022] Open
Abstract
Some, but not all, epidemiologic studies report an association between vitamin D and prostate cancer risk. The inconsistent findings might be explained in the context of modification by members of the insulin-like growth factor (IGF) axis. Data and specimens for this nested case-control study (n = 1695 cases and n = 1682 controls) are from the Prostate Cancer Prevention Trial (PCPT). Baseline serum samples were assayed for 25(OH)D, IGF-1, IGF-2, IGFBP-2, IGFBP-3, and the ratio of IGF1:BP3, along with insulin-related markers c-peptide and leptin. The presence of prostate cancer was assessed by prostate biopsy. Multivariate logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CIs) for prostate cancer risk. There were no interactions between serum 25(OH)D and IGF analytes in relation to prostate cancer risk when PCPT treatment arms were combined. In the placebo arm, above median serum 25(OH)D levels were associated with increased risk of prostate cancer among men with higher IGF-2 (OR:1.33, 95% CI: 1.00–1.65), with a significant interaction between 25(OH)D and treatment arm (Pinteraction = 0.04). Additionally, there was an interaction between treatment arm and serum IGFBP-3 (Pinteraction = 0.03). Higher serum 25(OH)D may increase risk of prostate cancer in the presence of higher circulating IGF-2.
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Albertsen PC. Risk Factors for Prostate Cancer: Which Are Truly Predictive of Clinically Significant Disease? J Clin Oncol 2016; 34:4310-4311. [DOI: 10.1200/jco.2016.70.4742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Peter C. Albertsen
- Peter C. Albertsen,University of Connecticut Health Center, Farmington, CT
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