Kevin H Kensler, Shakuntala Baichoo, Mathias Nuris-Souquet, Faith Morley, Michelle Lee-Bravatti, Pranoti Pradhan, Charlotte Roscoe, Barbra A Dickerman, Hari S Iyer, Timothy R Rebbeck
{"title":"前列腺特异性抗原水平随年龄、肥胖、种族和遗传风险的变化:前列腺癌筛查的意义","authors":"Kevin H Kensler, Shakuntala Baichoo, Mathias Nuris-Souquet, Faith Morley, Michelle Lee-Bravatti, Pranoti Pradhan, Charlotte Roscoe, Barbra A Dickerman, Hari S Iyer, Timothy R Rebbeck","doi":"10.1158/1055-9965.EPI-24-1710","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The benefits:harms ratio of prostate-specific antigen (PSA)-based prostate cancer screening may be improved through implementation of PSA reference ranges that consider innate individual characteristics. We evaluated variation in PSA levels by factors that may influence PSA levels among men eligible to undergo prostate cancer screening.</p><p><strong>Methods: </strong>We identified men aged 40-79 years in the All of Us Research Program who had no history of prostate cancer or elevated PSA at cohort enrollment. PSA distributions were compared across age groups, self-identified race or ethnicity (SIRE), body mass index (BMI), polygenic risk score (PRS) for prostate cancer risk (PRSPC), and PRS for PSA level (PRSPSA). Multivariable associations between these factors and PSA percentiles were evaluated using quantile regression.</p><p><strong>Results: </strong>Among 13,749 eligible men, 95th percentiles (p95) of PSA values increased with age (40-49: 1.81 ng/mL, 50-59: 3.23 ng/mL, 60-69: 4.15 ng/mL, 70-79: 5.53 ng/mL). p95 of PSA was 0.83 ng/mL lower (95% CI 0.44-0.1.22) among participants with BMI 35-39 kg/m2 vs. <25 kg/m2. p95 of PSA was 2.32 ng/mL higher (95% CI 1.20-3.44) among those with PRSPC >90th percentile vs. ≤50th percentile and 1.21 ng/mL higher (95% CI 0.50-1.92) among males with PRSPSA >90th percentile vs. ≤50th percentile. SIRE was not consistently associated with PSA levels.</p><p><strong>Conclusions: </strong>PSA levels vary by age, BMI, and PRS but not SIRE. Further work is needed to understand how tailoring PSA reference ranges based on these characteristics would affect screening outcomes.</p><p><strong>Impact: </strong>Consideration of factors that endogenously influence PSA levels may lead to improved benefits:harms of prostate cancer screening.</p>","PeriodicalId":9458,"journal":{"name":"Cancer Epidemiology Biomarkers & Prevention","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variation in prostate-specific antigen levels by age, adiposity, race and ethnicity, and genetic risk: Implications for prostate cancer screening.\",\"authors\":\"Kevin H Kensler, Shakuntala Baichoo, Mathias Nuris-Souquet, Faith Morley, Michelle Lee-Bravatti, Pranoti Pradhan, Charlotte Roscoe, Barbra A Dickerman, Hari S Iyer, Timothy R Rebbeck\",\"doi\":\"10.1158/1055-9965.EPI-24-1710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The benefits:harms ratio of prostate-specific antigen (PSA)-based prostate cancer screening may be improved through implementation of PSA reference ranges that consider innate individual characteristics. We evaluated variation in PSA levels by factors that may influence PSA levels among men eligible to undergo prostate cancer screening.</p><p><strong>Methods: </strong>We identified men aged 40-79 years in the All of Us Research Program who had no history of prostate cancer or elevated PSA at cohort enrollment. PSA distributions were compared across age groups, self-identified race or ethnicity (SIRE), body mass index (BMI), polygenic risk score (PRS) for prostate cancer risk (PRSPC), and PRS for PSA level (PRSPSA). Multivariable associations between these factors and PSA percentiles were evaluated using quantile regression.</p><p><strong>Results: </strong>Among 13,749 eligible men, 95th percentiles (p95) of PSA values increased with age (40-49: 1.81 ng/mL, 50-59: 3.23 ng/mL, 60-69: 4.15 ng/mL, 70-79: 5.53 ng/mL). p95 of PSA was 0.83 ng/mL lower (95% CI 0.44-0.1.22) among participants with BMI 35-39 kg/m2 vs. <25 kg/m2. p95 of PSA was 2.32 ng/mL higher (95% CI 1.20-3.44) among those with PRSPC >90th percentile vs. ≤50th percentile and 1.21 ng/mL higher (95% CI 0.50-1.92) among males with PRSPSA >90th percentile vs. ≤50th percentile. SIRE was not consistently associated with PSA levels.</p><p><strong>Conclusions: </strong>PSA levels vary by age, BMI, and PRS but not SIRE. Further work is needed to understand how tailoring PSA reference ranges based on these characteristics would affect screening outcomes.</p><p><strong>Impact: </strong>Consideration of factors that endogenously influence PSA levels may lead to improved benefits:harms of prostate cancer screening.</p>\",\"PeriodicalId\":9458,\"journal\":{\"name\":\"Cancer Epidemiology Biomarkers & Prevention\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Epidemiology Biomarkers & Prevention\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1158/1055-9965.EPI-24-1710\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Epidemiology Biomarkers & Prevention","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1055-9965.EPI-24-1710","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:基于前列腺特异性抗原(PSA)的前列腺癌筛查的利弊比可通过实施考虑个体先天特征的 PSA 参考范围来改善。我们根据可能影响有资格接受前列腺癌筛查的男性的 PSA 水平的因素对 PSA 水平的变化进行了评估:我们在 "我们所有人研究计划"(All of Us Research Program)中确定了 40-79 岁的男性,他们在加入队列时没有前列腺癌病史或 PSA 升高。我们比较了不同年龄组、自认种族或民族(SIRE)、体重指数(BMI)、前列腺癌风险多基因风险评分(PRSPC)和PSA水平多基因风险评分(PRSPSA)的PSA分布情况。使用量子回归评估了这些因素与 PSA 百分位数之间的多变量关联:在 13,749 名符合条件的男性中,PSA 值的第 95 百分位数(p95)随着年龄的增长而增加(40-49 岁:1.81 纳克/毫升;50-59 岁:3.23 纳克/毫升;60-69 岁:4.15 纳克/毫升;70-79 岁:5.53 纳克/毫升)。44-0.1.22),PRSPSA>90百分位数的男性比≤50百分位数的男性高1.21纳克/毫升(95% CI 0.50-1.92)。SIRE与PSA水平的关系并不一致:结论:PSA水平因年龄、体重指数和PRS而异,但与SIRE无关。要了解根据这些特征定制 PSA 参考范围会如何影响筛查结果,还需要进一步的工作:影响:考虑内生性影响 PSA 水平的因素可能会改善前列腺癌筛查的利弊。
Variation in prostate-specific antigen levels by age, adiposity, race and ethnicity, and genetic risk: Implications for prostate cancer screening.
Background: The benefits:harms ratio of prostate-specific antigen (PSA)-based prostate cancer screening may be improved through implementation of PSA reference ranges that consider innate individual characteristics. We evaluated variation in PSA levels by factors that may influence PSA levels among men eligible to undergo prostate cancer screening.
Methods: We identified men aged 40-79 years in the All of Us Research Program who had no history of prostate cancer or elevated PSA at cohort enrollment. PSA distributions were compared across age groups, self-identified race or ethnicity (SIRE), body mass index (BMI), polygenic risk score (PRS) for prostate cancer risk (PRSPC), and PRS for PSA level (PRSPSA). Multivariable associations between these factors and PSA percentiles were evaluated using quantile regression.
Results: Among 13,749 eligible men, 95th percentiles (p95) of PSA values increased with age (40-49: 1.81 ng/mL, 50-59: 3.23 ng/mL, 60-69: 4.15 ng/mL, 70-79: 5.53 ng/mL). p95 of PSA was 0.83 ng/mL lower (95% CI 0.44-0.1.22) among participants with BMI 35-39 kg/m2 vs. <25 kg/m2. p95 of PSA was 2.32 ng/mL higher (95% CI 1.20-3.44) among those with PRSPC >90th percentile vs. ≤50th percentile and 1.21 ng/mL higher (95% CI 0.50-1.92) among males with PRSPSA >90th percentile vs. ≤50th percentile. SIRE was not consistently associated with PSA levels.
Conclusions: PSA levels vary by age, BMI, and PRS but not SIRE. Further work is needed to understand how tailoring PSA reference ranges based on these characteristics would affect screening outcomes.
Impact: Consideration of factors that endogenously influence PSA levels may lead to improved benefits:harms of prostate cancer screening.
期刊介绍:
Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; implementation science and cancer care delivery; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach.