ArticleFrontiers in surgery2023
Prognostic model construction and validation of esophageal cancer cellular senescence-related genes and correlation with immune infiltration.
Article in Frontiers in surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 10 citations in OpenAlex.
- A genome-wide association study identified 10 novel genomic loci associated with intrinsic capacity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Cellular senescence in cancer: from mechanism paradoxes to precision therapeutics.Molecular cancer · 2025Review
- Development and Validation of an Interpretable ML Model for Survival Prediction in Unresectable ESCC with Immunochemotherapy.Cancer management and research · 2025Article
- Aging-associated mechanisms and metabolic vulnerabilities in esophageal carcinoma: an integrative review.Frontiers in cell and developmental biology · 2025Review
- Integrated machine learning developed a prognosis-related gene signature to predict prognosis in oesophageal squamous cell carcinoma.Journal of cellular and molecular medicine · 2024Article
- Induction of Senescence in Lung Cancer Cells by Qidongning Formula via the Transcription Factor EGR1.Integrative cancer therapiesArticle
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
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Abstract
Introduction: Cellular senescence is a cellular response to stress, including the activation of oncogenes, and is characterized by irreversible proliferation arrest. Restricted studies have provided a relationship between cellular senescence and immunotherapy for esophageal cancer. Methods: In the present study, we obtained clinical sample of colon cancer from the TCGA database and cellular senescence-related genes from MSigDB and Genecard datasets. Cellular senescence-related prognostic genes were identified by WGCNA, COX, and lasso regression analysis, and a cellular senescence-related risk score (CSRS) was calculated. We constructed a prognostic model based on CSRS. Validation was performed with an independent cohort that GSE53625. Three scoring systems for immuno-infiltration analysis were performed, namely ssGSEA analysis, ESTIMATE scores and TIDE scores. Result: Five cellular senescence-related genes, including H3C1, IGFBP1, MT1E, SOX5 and CDHR4 and used to calculate risk score. Multivariate regression analysis using cox regression model showed that cellular senescence-related risk scores (HR=2.440, 95% CI=1.154-5.159, p=0.019) and pathological stage (HR=2.423, 95% CI=1.119-5.249, p=0.025) were associated with overall survival (OS). The nomogram model predicts better clinical benefit than the American Joint Committee on Cancer (AJCC) staging for prognosis of patients with esophageal cancer with a five-year AUC of 0.946. Patients with high CSRS had a poor prognosis (HR=2.93, 95%CI=1.74-4.94, p<0.001). We observed differences in the distribution of CSRS in different pathological staging and therefore performed a subgroup survival analysis finding that assessment of prognosis by CSRS independent of pathological staging. Comprehensive immune infiltration analysis and functional enrichment analysis suggested that patients with high CSRS may develop immunotherapy resistance through mechanisms of deacetylation and methylation. Discussion: In summary, our study suggested that CSRS is a prognostic risk factor for esophageal cancer. Patients with high CSRS may have worse immunotherapy outcomes.
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