1. |
- Conti, David, V, et al.
(author)
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Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
- 2021
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In: Nature Genetics. - : Springer Nature. - 1061-4036 .- 1546-1718. ; 53:1, s. 65-75
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Journal article (peer-reviewed)abstract
- Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction. A meta-analysis of genome-wide association studies across different populations highlights new risk loci and provides a genetic risk score that can stratify prostate cancer risk across ancestries.
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2. |
- Martin, Neil E, et al.
(author)
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Defining a Standard Set of Patient-centered Outcomes for Men with Localized Prostate Cancer
- 2015
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In: European Urology. - : Elsevier BV. - 0302-2838 .- 1873-7560. ; 67:3, s. 460-467
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Journal article (peer-reviewed)abstract
- BACKGROUND: Value-based health care has been proposed as a unifying force to drive improved outcomes and cost containment.OBJECTIVE: To develop a standard set of multidimensional patient-centered health outcomes for tracking, comparing, and improving localized prostate cancer (PCa) treatment value.DESIGN, SETTING, AND PARTICIPANTS: We convened an international working group of patients, registry experts, urologists, and radiation oncologists to review existing data and practices.OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The group defined a recommended standard set representing who should be tracked, what should be measured and at what time points, and what data are necessary to make meaningful comparisons. Using a modified Delphi method over a series of teleconferences, the group reached consensus for the Standard Set.RESULTS AND LIMITATIONS: We recommend that the Standard Set apply to men with newly diagnosed localized PCa treated with active surveillance, surgery, radiation, or other methods. The Standard Set includes acute toxicities occurring within 6 mo of treatment as well as patient-reported outcomes tracked regularly out to 10 yr. Patient-reported domains of urinary incontinence and irritation, bowel symptoms, sexual symptoms, and hormonal symptoms are included, and the recommended measurement tool is the Expanded Prostate Cancer Index Composite Short Form. Disease control outcomes include overall, cause-specific, metastasis-free, and biochemical relapse-free survival. Baseline clinical, pathologic, and comorbidity information is included to improve the interpretability of comparisons.CONCLUSIONS: We have defined a simple, easily implemented set of outcomes that we believe should be measured in all men with localized PCa as a crucial first step in improving the value of care.PATIENT SUMMARY: Measuring, reporting, and comparing identical outcomes across treatments and treatment centers will provide patients and providers with information to make informed treatment decisions. We defined a set of outcomes that we recommend being tracked for every man being treated for localized prostate cancer.
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3. |
- Preston, Mark A, et al.
(author)
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Baseline Prostate-Specific Antigen Levels in Midlife Predict Lethal Prostate Cancer
- 2016
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In: Journal of clinical oncology : official journal of the American Society of Clinical Oncology. - 1527-7755. ; 34:23, s. 2705-11
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Journal article (peer-reviewed)abstract
- Prostate-specific antigen (PSA) level in midlife predicted future prostate cancer (PCa) mortality in an unscreened Swedish population. Our purpose was to determine if a baseline PSA level during midlife predicts lethal PCa in a US population with opportunistic screening.We conducted a nested case-control study among men age 40 to 59 years who gave blood before random assignment in the Physicians' Health Study, a randomized, placebo-controlled trial of aspirin and β-carotene among 22,071 US male physicians initiated in 1982 and then transitioned into a prospective cohort with 30 years of follow-up. Baseline PSA levels were available for 234 patients with PCa and 711 age-matched controls. Seventy-one participants who developed lethal PCa were rematched to 213 controls. Conditional logistic regression was used to estimate odds ratios and the area under the receiver operating characteristic curve, with 95% CIs, of the association between baseline PSA and risk of lethal PCa.Median PSA among controls was 0.68, 0.88, and 0.96 ng/mL for men age 40 to 49, 50 to 54, and 55 to 59 years, respectively. Risk of lethal PCa was strongly associated with baseline PSA in midlife: odds ratios (95% CIs) comparing PSA in the > 90th percentile versus less than or equal to median were 8.7 (1.0 to 78.2) at 40 to 49 years, 12.6 (1.4 to 110.4) at 50 to 54 years, and 6.9 (2.5 to 19.1) at 55 to 59 years. A total of 82%, 71%, and 86% of lethal cases occurred in men with PSA above the median at ages 40 to 49, 50 to 54, and 55 to 59 years, respectively.PSA levels in midlife strongly predict future lethal PCa in a US cohort subject to opportunistic screening. Risk-stratified screening on the basis of midlife PSA should be considered in men age 45 to 59 years.
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4. |
- Wang, Anqi, et al.
(author)
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Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
- 2023
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In: Nature Genetics. - : Springer Nature. - 1061-4036 .- 1546-1718. ; 55:12, s. 2065-2074
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Journal article (peer-reviewed)abstract
- The transferability and clinical value of genetic risk scores (GRSs) across populations remain limited due to an imbalance in genetic studies across ancestrally diverse populations. Here we conducted a multi-ancestry genome-wide association study of 156,319 prostate cancer cases and 788,443 controls of European, African, Asian and Hispanic men, reflecting a 57% increase in the number of non-European cases over previous prostate cancer genome-wide association studies. We identified 187 novel risk variants for prostate cancer, increasing the total number of risk variants to 451. An externally replicated multi-ancestry GRS was associated with risk that ranged from 1.8 (per standard deviation) in African ancestry men to 2.2 in European ancestry men. The GRS was associated with a greater risk of aggressive versus non-aggressive disease in men of African ancestry (P = 0.03). Our study presents novel prostate cancer susceptibility loci and a GRS with effective risk stratification across ancestry groups.
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5. |
- Adams, Charleen, et al.
(author)
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Circulating Metabolic Biomarkers of Screen-Detected Prostate Cancer in the ProtecT Study
- 2019
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In: Cancer Epidemiology, Biomarkers and Prevention. - : American Association for Cancer Research (AACR). - 1055-9965 .- 1538-7755. ; 28:1, s. 208-216
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Journal article (peer-reviewed)abstract
- BACKGROUND: Whether associations between circulating metabolites and prostate cancer are causal is unknown. We report on the largest study of metabolites and prostate cancer (2,291 cases and 2,661 controls) and appraise causality for a subset of the prostate cancer-metabolite associations using two-sample Mendelian randomization (MR).MATERIALS AND METHODS: The case-control portion of the study was conducted in nine UK centres with men aged 50-69 years who underwent prostate-specific antigen (PSA) screening for prostate cancer within the Prostate testing for cancer and Treatment (ProtecT) trial. Two data sources were used to appraise causality: a genome-wide association study (GWAS) of metabolites in 24,925 participants and a GWAS of prostate cancer in 44,825 cases and 27,904 controls within the Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium.RESULTS: Thirty-five metabolites were strongly associated with prostate cancer (p <0.0014, multiple-testing threshold). These fell into four classes: i) lipids and lipoprotein subclass characteristics (total cholesterol and ratios, cholesterol esters and ratios, free cholesterol and ratios, phospholipids and ratios, and triglyceride ratios); ii) fatty acids and ratios; iii) amino acids; iv) and fluid balance. Fourteen top metabolites were proxied by genetic variables, but MR indicated these were not causal.CONCLUSIONS: We identified 35 circulating metabolites associated with prostate cancer presence, but found no evidence of causality for those 14 testable with MR. Thus, the 14 MR-tested metabolites are unlikely to be mechanistically important in prostate cancer risk.IMPACT: The metabolome provides a promising set of biomarkers that may aid prostate cancer classification.
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6. |
- Carlsson, Sigrid, 1982, et al.
(author)
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A Provider-Facing Decision Support Tool for Prostate Cancer Screening in Primary Care: A Pilot Study
- 2024
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In: APPLIED CLINICAL INFORMATICS. - 1869-0327. ; 15:02, s. 274-281
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Journal article (peer-reviewed)abstract
- Objectives Our objective was to pilot test an electronic health record-embedded decision support tool to facilitate prostate-specific antigen (PSA) screening discussions in the primary care setting. Methods We pilot-tested a novel decision support tool that was used by 10 primary care physicians (PCPs) for 6 months, followed by a survey. The tool comprised (1) a risk-stratified algorithm, (2) a tool for facilitating shared decision-making (Simple Schema), (3) three best practice advisories (BPAs: <45, 45-75, and >75 years), and (4) a health maintenance module for scheduling automated reminders about PSA rescreening. Results All PCPs found the tool feasible, acceptable, and clear to use. Eight out of ten PCPs reported that the tool made PSA screening conversations somewhat or much easier. Before using the tool, 70% of PCPs felt confident in their ability to discuss PSA screening with their patient, and this improved to 100% after the tool was used by PCPs for 6 months. PCPs found the BPAs for eligible (45-75 years) and older men (>75 years) more useful than the BPA for younger men (<45 years). Among the 10 PCPs, 60% found the Simple Schema to be very useful, and 50% found the health maintenance module to be extremely or very useful. Most PCPs reported the components of the tool to be at least somewhat useful, with 10% finding them to be very burdensome. Conclusion We demonstrated the feasibility and acceptability of the tool, which is notable given the marked low acceptance of existing tools. All PCPs reported that they would consider continuing to use the tool in their clinic and were likely or very likely to recommend the tool to a colleague.
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7. |
- Carlsson, Sigrid, 1982, et al.
(author)
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Provider Perceptions of an Electronic Health Record Prostate Cancer Screening Tool
- 2024
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In: APPLIED CLINICAL INFORMATICS. - 1869-0327. ; 15:02, s. 282-294
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Journal article (peer-reviewed)abstract
- Objectives We conducted a focus group to assess the attitudes of primary care physicians (PCPs) toward prostate-specific antigen (PSA)-screening algorithms, perceptions of using decision support tools, and features that would make such tools feasible to implement. Methods A multidisciplinary team (primary care, urology, behavioral sciences, bioinformatics) developed the decision support tool that was presented to a focus group of 10 PCPs who also filled out a survey. Notes and audio-recorded transcripts were analyzed using Thematic Content Analysis. Results The survey showed that PCPs followed different guidelines. In total, 7/10 PCPs agreed that engaging in shared decision-making about PSA screening was burdensome. The majority (9/10) had never used a decision aid for PSA screening. Although 70% of PCPs felt confident about their ability to discuss PSA screening, 90% still felt a need for a provider-facing platform to assist in these discussions. Three major themes emerged: (1) confirmatory reactions regarding the importance, innovation, and unmet need for a decision support tool embedded in the electronic health record; (2) issues around implementation and application of the tool in clinic workflow and PCPs' own clinical bias; and (3) attitudes/reflections regarding discrepant recommendations from various guideline groups that cause confusion. Conclusion There was overwhelmingly positive support for the need for a provider-facing decision support tool to assist with PSA-screening decisions in the primary care setting. PCPs appreciated that the tool would allow flexibility for clinical judgment and documentation of shared decision-making. Incorporation of suggestions from this focus group into a second version of the tool will be used in subsequent pilot testing.
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8. |
- Gandaglia, Giorgio, et al.
(author)
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Epidemiology and Prevention of Prostate Cancer
- 2021
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In: European Urology Oncology. - : Elsevier. - 2588-9311. ; 4:6, s. 877-892
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Journal article (peer-reviewed)abstract
- CONTEXT: Worldwide, prostate cancer (PCa) represents the second most common solid tumor in men.OBJECTIVE: To assess the geographical distribution of PCa, epidemiological differences, and the most relevant risk factors for the disease.EVIDENCE ACQUISITION: Estimated incidence, mortality, and prevalence of PCa for the year 2020 in 185 countries were derived from the IARC GLOBOCAN database. A review of English-language articles published between 2010 and 2020 was conducted using MEDLINE, EMBASE, and Scopus to identify risk factors for PCa.EVIDENCE SYNTHESIS: In the year 2020, there were over 1414000 estimated new cases of PCa worldwide, with an age-standardized rate (ASR) incidence of 31 per 100000 (lifetime cumulative risk: 3.9%). Northern Europe has the highest all-age incidence ASR (83), while the lowest ASR was in South-Central Asia (6.3). In the year 2020, there were over 375000 estimated deaths worldwide, and the overall mortality ASR was 7.7 per 100000, with the highest ASR in the Caribbean (28) and the lowest in South-Central Asia (3.1). Family history, hereditary syndromes, and race are the strongest risk factors for PCa. Metabolic syndrome was associated with the risk of developing PCa, high-grade disease, and adverse pathology. Diabetes and exposure to ultraviolet rays were found to be inversely associated to PCa incidence. Cigarette smoking and obesity may increase PCa-specific mortality, while regular physical activity may reduce disease progression. Although 5-alpha reductase inhibitors are known to be associated with a reduced incidence of PCa, available studies failed to show an effect on overall mortality.CONCLUSIONS: Family history, race, and hereditary syndromes are well-established risk factors for PCa. Modifiable risk factors may impact the risk of developing PCa and that of dying from the disease, but little evidence exist for any clear indication for prevention other than early diagnosis to reduce PCa mortality.PATIENT SUMMARY: Prostate cancer (PCa) rates vary profoundly worldwide, with incidence and mortality rates being highest in Northern Europe and Caribbean, respectively. South-Central Asia has the lowest epidemiological burden. Family history, race, and hereditary syndromes are well-established risk factors for PCa. Modifiable risk factors may impact the risk of developing PCa and that of dying from the disease itself, but little evidence exist for any clear indication for prevention other than early diagnosis to reduce PCa mortality.
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9. |
- Langbein, Björn J, et al.
(author)
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A Pilot Study of Multidimensional Diffusion MRI for Assessment of Tissue Heterogeneity in Prostate Cancer
- 2021
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In: Investigative Radiology. - 0020-9996. ; 56:12, s. 845-853
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Journal article (peer-reviewed)abstract
- OBJECTIVES: The objectives of this exploratory study were to investigate the feasibility of multidimensional diffusion magnetic resonance imaging (MddMRI) in assessing diffusion heterogeneity at both a macroscopic and microscopic level in prostate cancer (PCa).MATERIALS AND METHODS: Informed consent was obtained from 46 subjects who underwent 3.0-T prostate multiparametric MRI, complemented with a prototype spin echo-based MddMRI sequence in this institutional review board-approved study. Prostate cancer tumors and comparative normal tissue from each patient were contoured on both apparent diffusion coefficient and MddMRI-derived mean diffusivity (MD) maps (from which microscopic diffusion heterogeneity [MKi] and microscopic diffusion anisotropy were derived) using 3D Slicer. The discriminative ability of MddMRI-derived parameters to differentiate PCa from normal tissue was determined using the Friedman test. To determine if tumor diffusion heterogeneity is similar on macroscopic and microscopic scales, the linear association between SD of MD and mean MKi was estimated using robust regression (bisquare weighting). Hypothesis testing was 2 tailed; P values less than 0.05 were considered statistically significant.RESULTS: All MddMRI-derived parameters could distinguish tumor from normal tissue in the fixed-effects analysis (P < 0.0001). Tumor MKi was higher (P < 0.05) compared with normal tissue (median, 0.40; interquartile range, 0.29-0.52 vs 0.20-0.18; 0.25), as was tumor microscopic diffusion anisotropy (0.55; 0.36-0.81 vs 0.20-0.15; 0.28). The MKi could not be predicted (no significant association) by SD of MD. There was a significant correlation between tumor volume and SD of MD (R2 = 0.50, slope = 0.008 μm2/ms per millimeter, P < 0.001) but not between tumor volume and MKi.CONCLUSIONS: This explorative study demonstrates that MddMRI provides novel information on MKi and microscopic anisotropy, which differ from measures at the macroscopic level. MddMRI has the potential to characterize tumor tissue heterogeneity at different spatial scales.
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10. |
- Law, Philip J., et al.
(author)
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Association analyses identify 31 new risk loci for colorectal cancer susceptibility
- 2019
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10
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Journal article (peer-reviewed)abstract
- Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide, and has a strong heritable basis. We report a genome-wide association analysis of 34,627 CRC cases and 71,379 controls of European ancestry that identifies SNPs at 31 new CRC risk loci. We also identify eight independent risk SNPs at the new and previously reported European CRC loci, and a further nine CRC SNPs at loci previously only identified in Asian populations. We use in situ promoter capture Hi-C (CHi-C), gene expression, and in silico annotation methods to identify likely target genes of CRC SNPs. Whilst these new SNP associations implicate target genes that are enriched for known CRC pathways such as Wnt and BMP, they also highlight novel pathways with no prior links to colorectal tumourigenesis. These findings provide further insight into CRC susceptibility and enhance the prospects of applying genetic risk scores to personalised screening and prevention.
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11. |
- Matejcic, Marco, et al.
(author)
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Germline variation at 8q24 and prostate cancer risk in men of European ancestry
- 2018
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In: Nature Communications. - : Springer Nature. - 2041-1723. ; 9
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Journal article (peer-reviewed)abstract
- Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p < 4.28 x 10(-15)), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95% CI = 3.62-4.40) greater risk compared to the population average. These 12 variants account for similar to 25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification.
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12. |
- Preston, Mark A., et al.
(author)
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Baseline Prostate-specific Antigen Level in Midlife and Aggressive Prostate Cancer in Black Men
- 2019
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In: European Urology. - : Elsevier BV. - 0302-2838. ; 75:3, s. 399-407
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Journal article (peer-reviewed)abstract
- Background: Prostate-specific antigen (PSA) measurement in midlife predicts long-term prostate cancer (PCa) mortality among white men. Objective: To determine whether baseline PSA level during midlife predicts risk of aggressive PCa in black men. Design, setting, and participants: Nested case-control study among black men in the Southern Community Cohort Study recruited between 2002 and 2009. A prospective cohort in the southeastern USA with recruitment from community health centers. A total of 197 incident PCa patients aged 40–64 yr at study entry and 569 controls matched on age, date of blood draw, and site of enrollment. Total PSA was measured in blood collected and stored at enrollment. Outcome measurements and statistical analysis: Total and aggressive PCa (91 aggressive: Gleason ≥7, American Joint Committee on Cancer stage III/IV, or PCa-specific death). Exact conditional logistic regression estimated odds ratios (ORs) with 95% confidence intervals (CIs) for PCa by category of baseline PSA. Results and limitations: Median PSA among controls was 0.72, 0.80, 0.94, and 1.03 ng/ml for age groups 40–49, 50–54, 55–59, and 60–64 yr, respectively; 90th percentile levels were 1.68, 1.85, 2.73, and 3.33 ng/ml. Furthermore, 95% of total and 97% of aggressive cases had baseline PSA above the age-specific median. Median follow-up was 9 yr. The OR for total PCa comparing PSA >90th percentile versus ≤median was 83.6 (95% CI, 21.2–539) for 40–54 yr and 71.7 (95% CI, 23.3–288) for 55–64 yr. For aggressive cancer, ORs were 174 (95% CI, 32.3–infinity) for 40–54 yr and 51.8 (95% CI, 11.0–519) for 55–64 yr. A composite endpoint of aggressive PCa based on stage, grade, and mortality was used and is a limitation. Conclusions: PSA levels in midlife strongly predicted total and aggressive PCa among black men. PSA levels among controls were similar to those among white controls in prior studies. Patient summary: Prostate-specific antigen (PSA) level during midlife strongly predicted future development of aggressive prostate cancer among black men. Targeted screening based on a midlife PSA might identify men at high risk while minimizing screening in those men at low risk. Prostate-specific antigen (PSA) level during midlife strongly predicted total and aggressive prostate cancer among black men. Risk-stratified screening based on midlife PSA might retain the benefits of screening while reducing harms.
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13. |
- Shui, Irene M., et al.
(author)
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Prostate Cancer (PCa) Risk Variants and Risk of Fatal PCa in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium
- 2014
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In: European Urology. - : Elsevier BV. - 0302-2838 .- 1873-7560. ; 65:6, s. 1069-1075
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Journal article (peer-reviewed)abstract
- Background: Screening and diagnosis of prostate cancer (PCa) is hampered by an inability to predict who has the potential to develop fatal disease and who has indolent cancer. Studies have identified multiple genetic risk loci for PCa incidence, but it is unknown whether they could be used as biomarkers for PCa-specific mortality (PCSM). Objective: To examine the association of 47 established PCa risk single-nucleotide polymorphisms (SNPs) with PCSM. Design, setting, and participants: We included 10 487 men who had PCa and 11 024 controls, with a median follow-up of 8.3 yr, during which 1053 PCa deaths occurred. Outcome measurements and statistical analysis: The main outcome was PCSM. The risk allele was defined as the allele associated with an increased risk for PCa in the literature. We used Cox proportional hazards regression to calculate the hazard ratios of each SNP with time to progression to PCSM after diagnosis. We also used logistic regression to calculate odds ratios for each risk SNP, comparing fatal PCa cases to controls. Results and limitations: Among the cases, we found that 8 of the 47 SNPs were significantly associated (p < 0.05) with time to PCSM. The risk allele of rs11672691 (intergenic) was associated with an increased risk for PCSM, while 7 SNPs had risk alleles inversely associated (rs13385191 [C2orf43], rs17021918 [PDLIM5], rs10486567 [JAZF1], rs6465657 [LMTK2], rs7127900 (intergenic), rs2735839 [KLK3], rs10993994 [MSMB], rs13385191 [C2orf43]). In the case-control analysis, 22 SNPs were associated (p < 0.05) with the risk of fatal PCa, but most did not differentiate between fatal and nonfatal PCa. Rs11672691 and rs10993994 were associated with both fatal and nonfatal PCa, while rs6465657, rs7127900, rs2735839, and rs13385191 were associated with nonfatal PCa only. Conclusions: Eight established risk loci were associated with progression to PCSM after diagnosis. Twenty-two SNPs were associated with fatal PCa incidence, but most did not differentiate between fatal and nonfatal PCa. The relatively small magnitudes of the associations do not translate well into risk prediction, but these findings merit further follow-up, because they may yield important clues about the complex biology of fatal PCa. Patient summary: In this report, we assessed whether established PCa risk variants could predict PCSM. We found eight risk variants associated with PCSM: One predicted an increased risk of PCSM, while seven were associated with decreased risk. Larger studies that focus on fatal PCa are needed to identify more markers that could aid prediction. (C) 2013 European Association of Urology. Published by Elsevier B.V. All rights reserved.
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14. |
- Szulkin, Robert, et al.
(author)
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Prediction of individual genetic risk to prostate cancer using a polygenic score.
- 2015
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In: The Prostate. - : Wiley. - 0270-4137 .- 1097-0045. ; 75:13, s. 1467-74
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Journal article (peer-reviewed)abstract
- BACKGROUND: Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction.METHODS: We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be included. The final model was evaluated in an independent study population including 1,370 cases and 1,239 controls.RESULTS: The polygenic risk score with 65 established susceptibility variants provided an area under the curve (AUC) of 0.67. Adding an additional 68 novel variants significantly increased the AUC to 0.68 (P = 0.0012) and the net reclassification index with 0.21 (P = 8.5E-08). All novel variants were located in genomic regions established as associated with prostate cancer risk.CONCLUSIONS: Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction.
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15. |
- Wu, Lang, et al.
(author)
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Identification of Novel Susceptibility Loci and Genes for Prostate Cancer Risk : A Transcriptome-Wide Association Study in over 140,000 European Descendants
- 2019
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In: Cancer Research. - : AMER ASSOC CANCER RESEARCH. - 0008-5472 .- 1538-7445. ; 79:13, s. 3192-3204
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Journal article (peer-reviewed)abstract
- Genome-wide association study-identified prostate cancer risk variants explain only a relatively small fraction of its familial relative risk, and the genes responsible for many of these identified associations remain unknown. To discover novel prostate cancer genetic loci and possible causal genes at previously identified risk loci, we performed a transcriptome-wide association study in 79,194 cases and 61,112 controls of European ancestry. Using data from the Genotype-Tissue Expression Project, we established genetic models to predict gene expression across the transcriptome for both prostate models and cross-tissue models and evaluated model performance using two independent datasets. We identified significant associations for 137 genes at P < 2.61 x 10(-6), a Bonferroni-corrected threshold, including nine genes that remained significant at P < 2.61 x 10(-6) after adjusting for all known prostate cancer risk variants in nearby regions. Of the 128 remaining associated genes, 94 have not yet been reported as potential target genes at known loci. We silenced 14 genes and many showed a consistent effect on viability and colony-forming efficiency in three cell lines. Our study provides substantial new information to advance our understanding of prostate cancer genetics and biology. Significance: This study identifies novel prostate cancer genetic loci and possible causal genes, advancing our understanding of the molecular mechanisms that drive prostate cancer.
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16. |
- Yim, Kendrick, et al.
(author)
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Free PSA and Clinically Significant and Fatal Prostate Cancer in the PLCO Screening Trial
- 2023
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In: The Journal of urology. - 1527-3792. ; 210:4, s. 630-638
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Journal article (peer-reviewed)abstract
- INTRODUCTION: We studied whether adding percent free prostate-specific antigen (%fPSA) to total PSA improves prediction of clinically significant prostate cancer (csPCa) and fatal PCa.METHODS: 6727 men within the intervention arm of the Prostate, Lung, Colorectal and Ovarian Trial had baseline %fPSA. Of this cohort, 475 had csPCa and 98 had fatal PCa. Cumulative incidence and Cox analyses were conducted to evaluate the association between %fPSA/PSA and csPCa/fatal PCa. Harrell's concordance-index (C-index) evaluated predictive ability. Kaplan-Meier analysis assessed survival.RESULTS: Median follow-up was 19.7 years, median baseline PSA was 1.19 ng/mL, median %fPSA was 18%. Cumulative incidence of fatal PCa for men with baseline PSA≥2 ng/mL and %fPSA ≤10 was 3.2% and 6.1% at 15 and 25 years, compared to 0.03% and 1.1% for men with %fPSA >25%. In younger men (55-64 yr) with baseline PSA 2-10 ng/mL, C-index improved from 0.56 to 0.60 for csPCa and from 0.53 to 0.64 for fatal PCa with addition of %fPSA. In older men (65-74 yr), C-index improved for csPCa from 0.60 to 0.66, while no improvement in fatal PCa. Adjusting for age, digital rectal exam, family history of PCa, and total PSA, %fPSA was associated with csPCa (HR 1.05, P < .001) per 1% decrease. %fPSA improved prediction of csPCa and fatal PCA for all race groups. CONCLUSION: In a large US screening trial, the addition of %fPSA to total PSA in men with baseline PSA ≥2 ng/mL improved prediction of csPCa and fatal PCa. Free PSA should be used to risk-stratify screening and decrease unnecessary prostate biopsies.
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