ArticleOncotarget2019
Molecular profiling of radical prostatectomy tissue from patients with no sign of progression identifies
Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Article
- Metabolic pathways enriched according to ERG status are associated with biochemical recurrence in Hispanic/Latino patients with prostate cancer.Cancer medicine · 2023Article
- TREM2 as an independent predictor of poor prognosis promotes the migration via the PI3K/AKT axis in prostate cancer.American journal of translational research · 2023Article
- Article
- Prognostic features of Annexin A2 expression in prostate cancer.Pathology · 2021Article
- Development and Verification of a Prostate Cancer Prognostic Signature Based on an Immunogenomic Landscape Analysis.Frontiers in oncology · 2021Article
- Proteomic Tissue-Based Classifier for Early Prediction of Prostate Cancer Progression.Cancers · 2020Article
Corrections and comments
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Authors and funding
21 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundAs a major cause of morbidity and mortality among men, prostate cancer is a heterogenous disease, with a vast heterogeneity in the biology of the disease and in clinical outcome. While it often runs an indolent course, local progression or metastasis may eventually develop, even among patients considered "low risk" at diagnosis. Therefore, biomarkers that can discriminate aggressive from indolent disease at an early stage would greatly benefit patients. We hypothesized that tissue specimens from early stage prostate cancers may harbor predictive signatures for disease progression.
methodsWe used a cohort of radical prostatectomy patients with longitudinal follow-up, who had tumors with low grade and stage that revealed no signs of future disease progression at surgery. During the follow-up period, some patients either remained indolent (non-BCR) or progressed to biochemical recurrence (BCR). Total RNA was extracted from tumor, and adjacent normal epithelium of formalin-fixed-paraffin-embedded (FFPE) specimens. Differential gene expression in tumors, and in tumor versus normal tissues between BCR and non-BCR patients were analyzed by NanoString using a customized CodeSet of 151 probes.
resultsAfter controlling for false discovery rates, we identified a panel of eight genes (
conclusionsOur results identified ERG as the strongest predictor for BCR and showed that potential prognostic prostate cancer biomarkers can be identified from FFPE tumor specimens.
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