ArticleFrontiers in oncology2021
Prediction of Biochemical Recurrence-Free Survival of Prostate Cancer Patients Leveraging Multiple Gene Expression Profiles in Tumor Microenvironment.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Gene expression profiles in benign prostate tissue reflect tumor proximity, grade, and molecular subtype.Journal of translational medicine · 2026Article
- Differential Cytokine Profiles in Prostate Cancer Under Treatment: Implications for Prognosis and Synergistic Therapy Design.Cancers · 2026Article
- Predicting prostate cancer recurrence: Introducing PCRPS, an advanced online web server.Heliyon · 2024Article
- Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma.Nature communications · 2023Article
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- Prediction of prostate cancer biochemical recurrence by using discretization supports the critical contribution of the extra-cellular matrix genes.Scientific reports · 2023Article
- Accurate prognosis for localized prostate cancer through coherent voting networks with multi-omic and clinical data.Scientific reports · 2023Article
- Transcriptomic data in tumor-adjacent normal tissues harbor prognostic information on multiple cancer types.Cancer medicine · 2023Article
- Prognostic Significance of Amino Acid Metabolism-Related Genes in Prostate Cancer Retrieved by Machine Learning.Cancers · 2023Article
- Classification of IHC Images of NATs With ResNet-FRP-LSTM for Predicting Survival Rates of Rectal Cancer Patients.IEEE journal of translational engineering in health and medicine · 2023Article
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Corrections and comments
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor-adjacent normal (TAN) tissues, which constitute tumor microenvironment and are different from healthy tissues, provide critical information at molecular levels that can be used to differentiate aggressive tumors from indolent tumors. In this study, we analyzed 52 TAN samples from the Cancer Genome Atlas (TCGA) prostate cancer patients and developed a 10-gene prognostic model that can accurately predict biochemical recurrence-free survival based on the profiles of these genes in TAN tissues. The predictive ability was validated using TAN samples from an independent cohort. These 10 prognostic genes in tumor microenvironment are different from the prognostic genes detected in tumor tissues, indicating distinct progression-related mechanisms in two tissue types. Bioinformatics analysis showed that the prognostic genes in tumor microenvironment were significantly enriched by p53 signaling pathway, which may represent the crosstalk tunnels between tumor and its microenvironment and pathways involving cell-to-cell contact and paracrine/endocrine signaling. The insight acquired by this study has advanced our knowledge of the potential role of tumor microenvironment in prostate cancer progression.
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