ArticleProstate cancer and prostatic diseases2021
Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer.
Article in Prostate cancer and prostatic diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01221168 (ProGene), which is not on this map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
ProGene: Etude Genetique et Epidemiologique du Cancer de la Prostate Familial
Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Polygenic risk score with KLK3 SNP-SNP interaction pairs for predicting prostate cancer aggressiveness.Communications medicine · 2026Article
- Genomic risk model to implement precision prostate cancer screening in clinical care: the ProGRESS study.Nature cancer · 2026Article
- Genetic risk and likelihood of prostate cancer detection on first biopsy by ancestry.Journal of the National Cancer Institute · 2024Article
- Article
- Risk factor control and incident cardiovascular disease in patients with diabetes: Sex-specific relations.Diabetes, obesity & metabolism · 2024Article
- Polygenic risk of any, metastatic, and fatal prostate cancer in the Million Veteran Program.Journal of the National Cancer Institute · 2023Article
- PRState: Incorporating genetic ancestry in prostate cancer risk scores for men of African ancestry.BMC cancer · 2022Article
- Reliability of Ancestry-specific Prostate Cancer Genetic Risk Score in Four Racial and Ethnic Populations.European urology open science · 2022Article
- Using Polygenic Hazard Scores to Predict Age at Onset of Alzheimer's Disease in Nordic Populations.Journal of Alzheimer's disease : JAD · 2022Article
- Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention.Medical review (2021) · 2021Review
- Common genetic and clinical risk factors: association with fatal prostate cancer in the Cohort of Swedish Men.Prostate cancer and prostatic diseases · 2021Article
- KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
71 authors at 20 institutions in 18 countries.
Funding
Abstract
backgroundPolygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46). MATERIALS AND
method180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy.
results166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer.
conclusionsIncorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.