ArticleAging2023
Identification of senescence-related lncRNA prognostic index correlating with prognosis and radiosensitivity in prostate cancer patients.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Construction of immune related genes predictive models of elderly rectal cancer patients based on machine learning.Discover oncology · 2026Article
- Prognostic and immunological characterization of elderly acute myeloid leukemia evaluated by butyrate metabolism-related genes.Discover oncology · 2025Article
- Ferroptosis-related LncRNAs in diseases.BMC biology · 2025Review
- Angiogenesis-related gene signature for prognostic prediction and immune microenvironment characterization in diffuse large B-cell lymphoma.Clinical and experimental medicine · 2025Article
- Construction of regulatory T cells specific genes predictive models of prostate cancer patients based on machine learning: a computational analysis and in vitro experiments.Discover oncology · 2025Article
- Immunological characterization and prognostic of colon cancer evaluated by angiogenesis-related features: a computational analysis and in vitro experiments.Discover oncology · 2025Article
- Integrated multi-omics profiling of immune microenvironment and drug resistance signatures for precision prognosis in prostate cancer.Cancer drug resistance (Alhambra, Calif.) · 2025Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
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Abstract
backgroundAn increasing number of studies are shown how crucial a role cellular senescence plays in tumor development. In this study, we developed a senescence-related lncRNA prognostic index (SRLPI) to forecast radiosensitivity and the probability of biochemical recurrence (BCR) in patients with prostate cancer (PCa).
methodsPCa cohorts in TCGA and GEO databases were downloaded. Senescence-and prognosis-related lncRNA with differential expression in tumor and normal samples were identified and used to establish the SRLPI score. Mutation landscape, function pathway, tumor stemness and heterogeneity and tumor immune microenvironment were also analyzed. We performed the analysis using R 3.6.3 and the appropriate tools.
resultsA SRLPI score was constructed based on SNHG1 and MIAT in the TCGA cohort. Our classification of PCa patients into high- and low-risk groups was based on the median SRLPI score. When compared to the low-SRLPI group, the high-SRLPI group was more vulnerable to BCR (HR: 3.33). In terms of BCR-free survival and metastasis-free survival, the GSE116918 showed similar findings. Surprisingly, the SRLPI score demonstrated a high level of radiosensitivity for diagnosis (AUC: 0.98). Age, Gleason score, T stage, N stage, positive lymph nodes, and residual tumor were all significantly greater in patients with high SRLPI scores. Furthermore, this score was significantly related to markers of senescence. Protein secretion and androgen response were found to be substantially enriched in the low-SRLPI group, whereas E2F targets were found to be strongly enriched in the high-SRLPI group for pathway analysis. For the tumor microenvironment assessment, B cells, CD8+ T cells, immune score and TIDE score were positively related to SRLPI score while endothelial level was negatively associated with SRLPI score with statistical significance.
conclusionsWe developed a SRLPI score that was related to prognosis and radiosensitivity and might be helpful in clinical practice.
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