A method for constructing a non-small cell lung cancer prognosis marker and a prognosis model and application thereof

By constructing a prognostic model for non-small cell lung cancer based on m6A-related genes, the problem of the inability to accurately assess the prognosis of non-small cell lung cancer in existing technologies has been solved, enabling precise assessment and early intervention of patient prognosis and improving patient outcomes.

CN115572762BActive Publication Date: 2026-08-18THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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Patent Information

Application Number
CN202111514088.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-12-10
Publication Date
2026-08-18
Estimated Expiration
2041-12-10

AI Technical Summary

Technical Problem

The lack of accurate prognostic models for non-small cell lung cancer in current technologies makes it impossible to effectively assess patients' prognoses, affecting treatment choices and prognostic outcomes.

Method used

A prognostic model for non-small cell lung cancer based on m6A-related genes was constructed, including methylated genes, demethylated genes, and m6A-binding proteins. Significantly differentially expressed genes were screened using the TCGA database, and a risk score model was constructed. The prognostic risk of patients was assessed by combining the proportion of immune cells and the KEGG signaling pathway.

Benefits of technology

It provides an accurate and sensitive prognostic assessment tool that can predict the risk of poor prognosis in patients with non-small cell lung cancer at an early stage, helping doctors to take timely intervention measures and improve patient prognosis.

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Abstract

The application belongs to the field of molecular biology and biomedical technology, and particularly discloses a non-small cell lung cancer prognosis marker and a construction method and application of a prognosis model 6 A related gene, including a methylation gene, a demethylation gene and m 6 A binding, effector protein, and the method can accurately and sensitively predict the prognosis of non-small cell lung cancer, and can effectively predict the risk of adverse prognosis of non-small cell lung cancer patients in the early stage, so that doctors can take the most reasonable intervention measures, save the lives of patients in time and improve the prognosis of patients.
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