ArticleFrontiers in molecular biosciences2024
Identification of key genes to predict response to chemoradiotherapy and prognosis in esophageal squamous cell carcinoma.
Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The trial behind it
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Who cites it
3 citing papers in PubMed.
- A composite immune-nutritional and tumor marker score predicts outcomes in LA-ESCC treated with neoadjuvant chemoimmunotherapy and surgery.Discover oncology · 2026Article
- SLC27, solute carrier 27 family, a long-chain fatty acid membrane transporters, in human cancers.Frontiers in cell and developmental biology · 2026Review
- Radiation dose escalation in locally advanced oesophageal cancer: a systematic review and hierarchical Bayesian meta-analysis.EClinicalMedicine · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Chemoradiotherapy is a crucial treatment modality for esophageal squamous cell carcinoma (ESCC). This study aimed to identify chemoradiotherapy sensitivity-related genes and analyze their prognostic value and potential associations with the tumor microenvironment in ESCC. Methods: Utilizing the Gene Expression Omnibus database, we identified differentially expressed genes between ESCC patients who achieved complete and incomplete pathological responses following chemoradiotherapy. Prognostic genes were then screened, and key genes associated with chemoradiotherapy sensitivity were determined using random survival forest analysis. We examined the relationships between key genes, infiltrating immune cells, and immunoregulatory genes. Additionally, drug sensitivity and enrichment analyses were conducted to assess the impact of key genes on chemotherapy responses and signaling pathways. A prognostic nomogram for ESCC was developed incorporating key genes, and its effectiveness was evaluated. Genome-wide association study data were employed to investigate chromosomal pathogenic regions associated with key genes. Results: Three key genes including Conclusion: This study identified three key genes that predict chemoradiotherapy sensitivity and prognosis and are involved in multiple tumor-related biological processes in ESCC. These findings provide predictive biomarkers for chemoradiotherapy response and support the development of individualized treatment strategies for ESCC patients.
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Registered trials
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