ArticleCancers2021
Gene Regulation Network Analysis on Human Prostate Orthografts Highlights a Potential Role for the
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Double optimal transport for differential gene regulatory network inference with unpaired samples.Bioinformatics (Oxford, England) · 2025Article
- Elucidating the role of PRMTs in prostate cancer using open access databases and a patient cohort dataset.Histology and histopathology · 2023Article
- Article
- Discovering gene regulatory networks of multiple phenotypic groups using dynamic Bayesian networks.Briefings in bioinformatics · 2022Article
- Role of the Epigenetic Modifier JMJD6 in Tumor Development and Regulation of Immune Response.Frontiers in immunology · 2022Review
- Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundProstate cancer (PCa) is the second most common tumour diagnosed in men. Tumoral heterogeneity in PCa creates a significant challenge to develop robust prognostic markers and novel targets for therapy. An analysis of gene regulatory networks (GRNs) in PCa may provide insight into progressive PCa. Herein, we exploited a graph-based enrichment score to integrate data from GRNs identified in preclinical prostate orthografts and differentially expressed genes in clinical resected PCa. We identified active regulons (transcriptional regulators and their targeted genes) associated with PCa recurrence following radical prostatectomy.
methodsThe expression of known transcription factors and co-factors was analysed in a panel of prostate orthografts (
results1308 regulons were correlated to transcriptomic data from the three clinical prostatectomy cohorts. The
conclusionsWe have characterised gene regulatory networks from preclinical prostate orthografts and applied transcriptomic data from three clinical cohorts to evaluate the prognostic potential of the
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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 Socratic graph.