ArticleJCI insight2018
Transcriptomic heterogeneity in multifocal prostate cancer.
Article in JCI insight, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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52 citing papers in PubMed, 104 citations in OpenAlex.
- Article
- Noninvasive Urine Test Predicts Grade Group Upgrading in Patients on Active Surveillance for Prostate Cancer: Multisite Validation and Comparison with MRI.The Journal of urology · 2026Article
- Characterizing population-wide genomic risk distribution for development of a novel clinical-genomic risk system for prognostication in patients with clinically localized prostate cancer.Prostate cancer and prostatic diseases · 2026Article
- Molecular profiling of primary versus paired asynchronous metastatic clear cell renal cell carcinoma reveals heterogeneity in tumor immune microenvironment.Scientific reports · 2026Article
- Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Observational
- Multi-layer stratified oncology platform utilizing transcriptomics, prostate cancer organoids, and modeling of drug response.Journal of experimental & clinical cancer research : CR · 2025Article
- Can Genomic Classifiers in Biopsy Cores With Grade Group 1 Cancer Predict Higher-Grade Disease Elsewhere in the Prostate? Results From the Prospective Miami Active Surveillance Trial.The Journal of urology · 2025Article
- Molecular Profiling of Primary versus Paired Asynchronous Metastatic Clear Cell Renal Cell Carcinoma Reveals Heterogeneity in Tumor Immune Microenvironment.Research square · 2025Article
- Disparities in tissue-based biomarker testing among US Medicare beneficiaries with prostate cancer.JNCI cancer spectrum · 2025Article
- ISUP grade upgrade prediction after radical prostatectomy: Role of Luteinizing Hormone to Testosterone ratio.BJUI compass · 2025Article
- Integrated Analysis of Single-Cell RNA Sequencing and Machine Learning Reveals a T Cell-Specific PANoptosis Signature Predicting Prognosis and Immunotherapy in Prostate Cancer.Human mutation · 2025Article
- Immunohistochemical markers as predictors of prognosis in multifocal prostate cancer.Virchows Archiv : an international journal of pathology · 2024Article
- Development and Validation of an 18-Gene Urine Test for High-Grade Prostate Cancer.JAMA oncology · 2024Article
- Integrative multi-region molecular profiling of primary prostate cancer in men with synchronous lymph node metastasis.Nature communications · 2024Article
- A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer.Molecular medicine (Cambridge, Mass.) · 2024Article
- Advances in Prostate Cancer Biomarkers and Probes.Cyborg and bionic systems (Washington, D.C.) · 2024Review
- Cell-Free DNA Genomic Profiling and Its Clinical Implementation in Advanced Prostate Cancer.Cancers · 2023Article
- Prostate-derived circulating microRNAs add prognostic value to prostate cancer risk calculators.Journal of extracellular biology · 2023Article
- Loss of PDE4D7 expression promotes androgen independence, neuroendocrine differentiation and alterations in DNA repair: implications for therapeutic strategies.British journal of cancer · 2023Article
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Authors and funding
20 authors at 6 institutions in 4 countries.
Funding
Abstract
backgroundCommercial gene expression assays are guiding clinical decision making in patients with prostate cancer, particularly when considering active surveillance. Given heterogeneity and multifocality of primary prostate cancer, such assays should ideally be robust to the coexistence of unsampled higher grade disease elsewhere in the prostate in order to have clinical utility. Herein, we comprehensively evaluated transcriptomic profiles of primary multifocal prostate cancer to assess robustness to clinically relevant multifocality.
methodsWe designed a comprehensive, multiplexed targeted RNA-sequencing assay capable of assessing multiple transcriptional classes and deriving commercially available prognostic signatures, including the Myriad Prolaris Cell Cycle Progression score, the Oncotype DX Genomic Prostate Score, and the GenomeDX Decipher Genomic Classifier. We applied this assay to a retrospective, multi-institutional cohort of 156 prostate cancer samples. Derived commercial biomarker scores for 120 informative primary prostate cancer samples from 44 cases were determined and compared.
resultsDerived expression scores were positively correlated with tumor grade (rS = 0.53-0.73; all P < 0.001), both within the same case and across the entire cohort. In cases of extreme grade-discordant multifocality (co-occurrence of grade group 1 [GG1] and ≥GG4 foci], gene expression scores were significantly lower in low- (GG1) versus high-grade (≥GG4) foci (all P < 0.001). No significant differences in expression scores, however, were observed between GG1 foci from prostates with and without coexisting higher grade cancer (all P > 0.05).
conclusionsMultifocal, low-grade and high-grade prostate cancer foci exhibit distinct prognostic expression signatures. These findings demonstrate that prognostic RNA expression assays performed on low-grade prostate cancer biopsy tissue may not provide meaningful information on the presence of coexisting unsampled aggressive disease.
fundingProstate Cancer Foundation, National Institutes of Health (U01 CA214170, R01 CA183857, University of Michigan Prostate Specialized Program of Research Excellence [S.P.O.R.E.] P50 CA186786-05, Weill Cornell Medicine S.P.O.R.E. P50 CA211024-01A1), Men of Michigan Prostate Cancer Research Fund, University of Michigan Comprehensive Cancer Center core grant (2-P30-CA-046592-24), A. Alfred Taubman Biomedical Research Institute, and Department of Defense.
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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.