ArticleJournal of advanced research2025
Integrative analysis of senescence-related genes identifies robust prognostic clusters with distinct features in hepatocellular carcinoma.
Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Lipid droplet-associated gene signatures classify metabolic subtypes and identify PLIN3 as a key driver in hepatocellular carcinoma.Genes & diseases · 2026Article
- Multiple Clustering Algorithms for Ovarian Cancer Subtyping (MCAOCS): identifying clinical phenotypes and treatment response in critical care.Journal of ovarian research · 2026Article
- TP53, HIF1A, and CDKN2A in Hepatocellular Carcinoma: Roles in Senescence, Ferroptosis, and Prognosis.Clinical and translational gastroenterology · 2026Article
- A MAFG~MITF complex drives melanoma phenotype switching and progression.Nature communications · 2026Article
- Honokiol-loaded nanomicelles reprogram senescence and immune evasion in hepatocellular carcinoma via SIRT3-mediated mitochondrial stabilization.Bioengineering & translational medicine · 2026Article
- Integrated bioinformatic analysis and experiments reveal EFEMP1 as a novel aging-related signature gene in calcific aortic valve disease.Scientific reports · 2026Article
- Multi-algorithm consensus classification identifies three distinct acute liver failure subtypes with differential treatment responses: a multi-database cohort study.Journal of advanced research · 2026Article
- A novel fuzzy system-based genetic algorithm for trajectory segment generation in urban global positioning system.Journal of advanced research · 2026Article
- scGeneBank: cross-species screening of functional gene sets at single-cell resolution.Nucleic acids research · 2026Article
- TMEM131-Mediated Soluble TRAIL Triggered Type II Alveolar Epithelial Cell Senescence in Radiation-Induced Lung Injury.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- NAP1L4 in hepatocellular carcinoma progression and treatment from gene expression to clinical impact.Discover oncology · 2025Article
- Multi-omics analyses identify mannose phosphate isomerase-centered hypoxia-induced angiogenesis signature in colorectal cancer.Journal of translational medicine · 2025Article
- CT radiomic stratification signature to optimize clinical decisions for ovarian cancer patients receiving neoadjuvant chemotherapy and the underlying biological basis: a multicenter retrospective study.Journal of translational medicine · 2025Article
- Senescent fibroblasts secrete CTHRC1 to promote cancer stemness in hepatocellular carcinoma.Cell communication and signaling : CCS · 2025Article
- Identification of a pyroptosis-related gene prognostic signature in patients with hepatocellular carcinoma.Journal of gastrointestinal oncology · 2025Article
- Senescence-specific molecular subtypes stratify the hallmarks of the tumor microenvironment and guide precision medicine in bladder cancer.BMC cancer · 2025Article
- Integrating Bulk and Single-Cell Transcriptomic Data to Identify Ferroptosis-Associated Inflammatory Gene in Alzheimer's Disease.Journal of inflammation research · 2025Article
- Mendelian randomization combined with single-cell sequencing analysis revealed prognostic genes related to myeloid cell differentiation in prostate cancer and experimental verification.Frontiers in immunology · 2025Article
- Identification of potential biomarkers for hepatocellular carcinoma based on machine learning and bioinformatics analysis.Discover oncology · 2024Article
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Authors and funding
12 authors.
Funding
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Abstract
introductionSenescence refers to a state of permanent cell growth arrest and is regarded as a tumor suppressive mechanism, whereas accumulative evidence demonstrate that senescent cells play an adverse role during cancer progression. The scarcity of specific and reliable markers reflecting senescence level in cancer impede our understanding of this biological basis.
objectivesSenescence-related genes (SRGs) were collected for integrative analysis to reveal the role of senescence in hepatocellular carcinoma (HCC).
methodsConsensus clustering was used to subtype HCC based on SRGs. Several computational methods, including single sample gene set enrichment analysis (ssGSEA), fuzzy c-means algorithm, were performed. Data of drug sensitivities were utilized to screen potential therapeutic agents for different senescence patients. Additionally, we developed a method called signature-related gene analysis (SRGA) for identification of markers relevant to phenotype of interest. Experimental strategies consisting quantitative real-time PCR (qRT-PCR), β-galactosidase assay, western blot, and tumor-T cell co-culture system were used to validate the findings in vitro.
resultsWe identified three robust prognostic clusters of HCC patients with distinct survival outcome, mutational landscape, and immune features. We further extracted signature genes of senescence clusters to construct the senescence scoring system and profile senescence level in HCC at bulk and single-cell resolution. Senescence-induced stemness reprogramming was confirmed both in silico and in vitro. HCC patients with high senescence were immune suppressed and sensitive to Tozasertib and other drugs. We suggested that MAFG, PLIN3, and 4 other genes were pertinent to HCC senescence, and MAFG potentially mediated immune suppression, senescence, and stemness.
conclusionOur findings provide insights into the role of SRGs in patients stratification and precision medicine.
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