ArticleBriefings in bioinformatics2022
Comprehensive assessment of cellular senescence in the tumor microenvironment.
Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed, 77 citations in OpenAlex.
- Clinical translation of senescence-related pan-cancer multi-omics: tools for assessment and immunotherapy prediction.Cancer gene therapy · 2026Article
- Exploring molecular signatures of senescence with marker, an R Toolkit for evaluating gene sets as phenotypic markers.NAR genomics and bioinformatics · 2026Article
- HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data.npj aging · 2026Article
- Review
- CDCSI: a machine learning-based interpretable cell death and cellular senescence index for prognosis improvement, immune landscape characterization, and therapeutic response prediction in head and neck squamous cell carcinoma.Frontiers in immunology · 2026Article
- Pan-cancer landscape of cellular senescence heterogeneity reveals associations with prognosis and therapy response.Scientific reports · 2025Article
- Article
- Personalized transcriptional network analysis links age-related loss of gene coordination to individual biological aging.Genome medicine · 2025Article
- ISENICS: a model for identifying senescent immune cells and samples and characterization of their roles in tumor microenvironment.Briefings in bioinformatics · 2025Article
- Tumor-derived exosomal tsRNA 3'tiRNA-AlaCGC in promoting fibroblast senescence and Galectin-9 secretion to induce immune tolerance in lung adenocarcinoma.Cell death discovery · 2025Article
- Targeting Cellular Senescence: Pathophysiology in Multisystem Age-Related Diseases.Biomedicines · 2025Review
- A transcriptome-based human universal senescence index (hUSI) robustly predicts cellular senescence under various conditions.Nature aging · 2025Article
- Cell Death and Senescence-Based Molecular Classification and an Individualized Prediction Model for Lung Adenocarcinoma.MedComm · 2025Article
- Unveiling a novel cancer hallmark by evaluation of neural infiltration in cancer.Briefings in bioinformatics · 2025Article
- Integrative analysis of senescence-related genes identifies robust prognostic clusters with distinct features in hepatocellular carcinoma.Journal of advanced research · 2025Article
- Transcriptomic profile of RNA pseudouridine modification as a biomarker for cellular senescence associated with survival outcomes in colorectal cancer.BMC biology · 2025Article
- Article
- Therapeutic implications and comprehensive insights into cellular senescence and aging in the tumor microenvironment of sarcoma.Discover oncology · 2025Article
- Stratification of telomerase activity in cancer reveals associations with senescence and genomic instability.Computational and structural biotechnology journal · 2025Article
- Article
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular senescence (CS), a state of permanent growth arrest, is intertwined with tumorigenesis. Due to the absence of specific markers, characterizing senescence levels and senescence-related phenotypes across cancer types remain unexplored. Here, we defined computational metrics of senescence levels as CS scores to delineate CS landscape across 33 cancer types and 29 normal tissues and explored CS-associated phenotypes by integrating multiplatform data from ~20 000 patients and ~212 000 single-cell profiles. CS scores showed cancer type-specific associations with genomic and immune characteristics and significantly predicted immunotherapy responses and patient prognosis in multiple cancers. Single-cell CS quantification revealed intra-tumor heterogeneity and activated immune microenvironment in senescent prostate cancer. Using machine learning algorithms, we identified three CS genes as potential prognostic predictors in prostate cancer and verified them by immunohistochemical assays in 72 patients. Our study provides a comprehensive framework for evaluating senescence levels and clinical relevance, gaining insights into CS roles in cancer- and senescence-related biomarker discovery.
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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.