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Bioinformatics analysis of markers based on m6A related to prognosis combined with immune invasion of rectal

Shunkang Yan, Jiandong Zhang, Lianghe Li

    Cancer Biomarkers : Section a of Disease Markers
    |February 2, 2024
    PubMed
    Summary

    Researchers developed a prognostic model for rectal adenocarcinoma (READ) using three m6A-associated long noncoding RNAs (lncRNAs). This model shows potential as a biomarker for predicting READ patient outcomes and aiding early detection.

    Keywords:
    Long noncoding RNA (lncRNAs)immune microenvironmentm6Aprognostic modelrectal adenocarcinoma

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    Area of Science:

    • Oncology
    • Molecular Biology
    • Bioinformatics

    Background:

    • Rectal adenocarcinoma (READ) is a significant subtype of colorectal cancer (CRC).
    • Long noncoding RNAs (lncRNAs) are increasingly recognized for their roles in cancer development.
    • Investigating the interplay between m6A modification and lncRNAs in READ is crucial for understanding disease progression.

    Purpose of the Study:

    • To identify differentially expressed lncRNAs associated with m6A modification in READ.
    • To develop a robust risk assessment model for predicting clinical outcomes in READ patients.
    • To explore the prognostic, diagnostic, and functional relevance of m6A-associated lncRNAs in READ.

    Main Methods:

    • Utilized the READ dataset from The Cancer Genome Atlas (TCGA) database.
    • Employed bioinformatics techniques to integrate m6A and lncRNA data.
    • Constructed a prognostic risk prediction model based on identified m6A-associated lncRNAs.

    Main Results:

    • A prognostic model comprising three m6A-associated lncRNAs (linc00702, ac106900.1, and al583785.1) was successfully constructed.
    • The model demonstrated multi-dimensional validation as a potential prognostic biomarker for READ.

    Conclusions:

    • The developed three-lncRNA m6A-associated model serves as a promising prognostic biomarker for rectal adenocarcinoma.
    • This model can aid clinicians in assessing patient prognosis, facilitating early detection, and potentially guiding immunotherapy strategies for READ.