Gene marker combination for predicting cancer prognosis, kit, system and application
By analyzing transcriptomic data from ESCC patients, gene markers such as CD8A, CD79A, and CXCL9 were identified, and a prognostic assessment model was established. This solved the problem of low efficacy of immunotherapy in ESCC patients and enabled more accurate prognostic assessment and treatment guidance.
Patent Information
- Application Number
- CN202511167083.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-20
- Publication Date
- 2026-01-30
AI Technical Summary
In the current technology, immunotherapy for patients with esophageal squamous cell carcinoma (ESCC) has low efficacy and lacks effective prognostic biomarkers to guide the selection of treatment options.
By analyzing transcriptome data from the GEO and TCGA databases, we identified the types of immune-infiltrating cells in the TME, used unsupervised hierarchical clustering to identify key prognostic immune molecules, established a molecular prognostic and immunotherapy efficacy prediction model, and used the combination of gene markers CD8A, CD79A, and CXCL9 for prognostic assessment.
It improves the accuracy of cancer prognostic assessment, can effectively predict immunotherapy response, provides precision treatment guidance for ESCC patients, and improves treatment outcomes.
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Figure CN121428092A_ABST