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ORIGINAL RESEARCH article

Front. Genet.
Sec. Cancer Genetics and Oncogenomics
Volume 16 - 2025 | doi: 10.3389/fgene.2025.1519677

Integrated analysis of M2 macrophage-related gene prognostic model and single-cell sequence to predict immunotherapy response in lung adenocarcinoma

Provisionally accepted
meifang li meifang li Zhiping Wang Zhiping Wang *bin huang bin huang *yanyun lai yanyun lai *meng zhang meng zhang *cheng lin cheng lin *
  • Fujian Provincial Cancer Hospital, Fuzhou, China

The final, formatted version of the article will be published soon.

    Background: Lung adenocarcinoma (LUAD) patients have high heterogeneity.The significance and clinical value of M2 macrophage-related genes in LUAD require further exploration. We aimed to construct a prognostic signature to predict the immunotherapy efficacy and prognosis in LUAD.Methods: GSE26939 and GSE19188 chips were downloaded from the Gene Expression Omnibus (GEO). Weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) 带格式的 删除的内容: macrophage 22 analysis were used to screen M2 macrophage-related prognostic genes. A signature based on M2 macrophage-related prognostic genes was established and used to predict the prognosis and immunotherapy efficacy in LUAD.Results: Twenty-two M2 macrophage-related genes associated with the prognosis of LUAD were confirmed using WGCNA, and then two molecular subtypes were identified with significantly different survival, gene expressions, and clinic characteristics were classified. LASSO analysis identified nine M2 macrophage-related prognostic genes to establish a risk signature, classifying patients into low-and high-risk groups. Data indicated that low-risk patients had better survival. Moreover, the signature was an independent prognostic factor for LUAD and a potential biomarker for patients receiving immunotherapy.Single-cell transcriptome analysis may provide important information on molecular subtypes and heterogeneity.Risk signature based on M2 macrophage-related genes is a valuable tool for predicting prognosis and immunotherapy response in patients with LUAD.

    Keywords: Lung Adenocarcinoma, Tumor Microenvironment, Macrophages, prognosis, Immunotherapy

    Received: 30 Oct 2024; Accepted: 09 Jan 2025.

    Copyright: © 2025 li, Wang, huang, lai, zhang and lin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Zhiping Wang, Fujian Provincial Cancer Hospital, Fuzhou, China
    bin huang, Fujian Provincial Cancer Hospital, Fuzhou, China
    yanyun lai, Fujian Provincial Cancer Hospital, Fuzhou, China
    meng zhang, Fujian Provincial Cancer Hospital, Fuzhou, China
    cheng lin, Fujian Provincial Cancer Hospital, Fuzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.