ArticleWorld journal of clinical oncology2023
Identification of a three-gene prognostic signature for radioresistant esophageal squamous cell carcinoma.
Article in World journal of clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Radiation dose escalation in locally advanced oesophageal cancer: a systematic review and hierarchical Bayesian meta-analysis.EClinicalMedicine · 2025Article
- Association of Definitive Radiotherapy for Esophageal Cancer and the Incidence of Secondary Head and Neck Cancers: A SEER Population-Based Study.World journal of oncology · 2024Article
- scDiffCoAM: A complete framework to identify potential biomarkers for esophageal squamous cell carcinoma using scRNA-Seq data analysis.Journal of biosciences · 2024Article
- Comparative transcriptome characterization of esophageal squamous cell carcinoma and adenocarcinoma.Computational and structural biotechnology journal · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEsophageal squamous cell carcinoma (ESCC) is causing a high mortality rate due to the lack of efficient early prognosis markers and suitable therapeutic regimens. The prognostic role of genes responsible for the acquisition of radioresistance in ESCC has not been fully elucidated.
aimTo establish a prognostic model by studying gene expression patterns pertinent to radioresistance in ESCC patients.
methodsDatasets were obtained from the Gene Expression Omnibus and The Cancer Genome Atlas databases. The edgeR, a Bioconductor package, was used to analyze mRNA expression between different groups. We screened genes specifically responsible for radioresistance to estimate overall survival. Pearson correlation analysis was performed to confirm whether the expression of those genes correlated with each other. Genes contributing to radioresistance and overall survival were assessed by the multivariate Cox regression model through the calculation of βi and risk score using the following formula: .
resultsWe identified three prognostic mRNAs (cathepsin S [
conclusionWe have developed a novel three-gene prognostic signature consisting of
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Registered trials
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