ReviewCancer metastasis reviews2014
Validation of proposed prostate cancer biomarkers with gene expression data: a long road to travel.
Review in Cancer metastasis reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Statin Use and the Risk of Prostate Cancer Biochemical Recurrence Following Definitive Therapy: A Systematic Review and Meta-Analysis of Cohort Studies.Frontiers in oncology · 2022Pooled it
- Review
- Filamin A in the ovary: a mediator of granulosa cell functions.Reproduction & fertility · 2025Article
- FAT1 mutation-related signature predicts survival risk and tumor immunogenicity in lung adenocarcinoma.Frontiers in genetics · 2025Article
- Analysis of transcriptomic data reveals the landscape of cholesterol metabolism in prostate cancer and impact of related signature on survival.Discover oncology · 2024Article
- Claudins in Cancer: A Current and Future Therapeutic Target.International journal of molecular sciences · 2024Review
- Predictive model for PSA persistence after radical prostatectomy using machine learning algorithms.Frontiers in oncology · 2024Article
- Quantitative Histomorphometric Features of Prostate Cancer Predict Patients Who Biochemically Recur Following Prostatectomy.Laboratory investigation; a journal of technical methods and pathology · 2023Article
- Integrated machine learning identifies epithelial cell marker genes for improving outcomes and immunotherapy in prostate cancer.Journal of translational medicine · 2023Article
- T2-Weighted MRI Radiomic Features Predict Prostate Cancer Presence and Eventual Biochemical Recurrence.Cancers · 2023Article
- Prediction of prostate cancer biochemical recurrence by using discretization supports the critical contribution of the extra-cellular matrix genes.Scientific reports · 2023Article
- Prediction of prostate tumour hypoxia using pre-treatment MRI-derived radiomics: preliminary findings.La Radiologia medica · 2023Article
- Expressed prognostic biomarkers for primary prostate cancer independent of multifocality and transcriptome heterogeneity.Cancer gene therapy · 2022Article
- Update of the keratin gene family: evolution, tissue-specific expression patterns, and relevance to clinical disorders.Human genomics · 2022Article
- Article
- Two Novel Ceramide-Like Molecules and miR-5100 Levels as Biomarkers Improve Prediction of Prostate Cancer in Gray-Zone PSA.Frontiers in oncology · 2021Article
- A new risk stratification system of prostate cancer to identify high-risk biochemical recurrence patients.Translational andrology and urology · 2020Article
- A 10-gene signature as a predictor of biochemical recurrence after radical prostatectomy in patients with prostate cancer and a Gleason score ≥7.Oncology letters · 2020Article
- Identification of genes that predict the biochemical recurrence of prostate cancer.Oncology letters · 2018Article
- Fifteen-gene expression based model predicts the survival of clear cell renal cell carcinoma.Medicine · 2018Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomarkers are important for early detection of cancer, prognosis, response prediction, and detection of residual or relapsing disease. Special attention has been given to diagnostic markers for prostate cancer since it is thought that early detection and surgery might reduce prostate cancer-specific mortality. The use of prostate-specific antigen, PSA (KLK3), has been debated on the base of cohort studies that show that its use in preventive screenings only marginally influences mortality from prostate cancer. Many groups have identified alternative or additional markers, among which PCA3, in order to detect early prostate cancer through screening, to distinguish potentially lethal from indolent prostate cancers, and to guide the treatment decision. The large number of markers proposed has led us to the present study in which we analyze these indicators for their diagnostic and prognostic potential using publicly available genomic data. We identified 380 markers from literature analysis on 20,000 articles on prostate cancer markers. The most interesting ones appeared to be claudin 3 (CLDN3) and alpha-methysacyl-CoA racemase highly expressed in prostate cancer and filamin C (FLNC) and keratin 5 with highest expression in normal prostate tissue. None of the markers proposed can compete with PSA for tissue specificity. The indicators proposed generally show a great variability of expression in normal and tumor tissue or are expressed at similar levels in other tissues. Those proposed as prognostic markers distinguish cases with marginally different risk of progression and appear to have a clinically limited use. We used data sets sampling 152 prostate tissues, data sets with 281 prostate cancers analyzed by microarray analysis and a study of integrated genomics on 218 cases to develop a multigene score. A multivariate model that combines several indicators increases the discrimination power but does not add impressively to the information obtained from Gleason scoring. This analysis of 10 years of marker research suggests that diagnostic and prognostic testing is more difficult in prostate cancer than in other neoplasms and that we must continue to search for better candidates.
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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.