ORIGINAL RESEARCH article

Front. Mol. Biosci.

Sec. Metabolomics

Volume 12 - 2025 | doi: 10.3389/fmolb.2025.1591446

This article is part of the Research TopicThe Role of Cell Metabolism in Development, Drug Resistance, and Survival Assessment in CancerView all 3 articles

MS4A7 Based Metabolic Gene Signature as a Prognostic Predictor in Lung Adenocarcinoma

Provisionally accepted
Yan  JiangYan Jiang1*Zhengyu  ShuZhengyu Shu1Weicheng  ZengWeicheng Zeng1Lei  ChengLei Cheng2Taiping  HeTaiping He2Chao  ZhaoChao Zhao2Xuefei  LiXuefei Li2Haowei  WangHaowei Wang2
  • 1Sichuan University, Chengdu, China
  • 2Tongji University, Shanghai, Shanghai Municipality, China

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

Background: Lung adenocarcinoma (LUAD) represents the most common form of lung cancer, contributing to significant global mortality. Metabolic reprogramming in tumor cells has been increasingly recognized as a hallmark of tumorigenesis, contributing to an immunosuppressive microenvironment. Given the promising prediction value of metabolismrelated genes in LUAD, this study aims to explore the role of MS4A7, a member of the MS4A gene family, in LUAD prognosis and immune microenvironment dynamics.Methods: A prognostic signature for LUAD was developed using the LASSO-Cox regression algorithm with RNA-seq data from 500 LUAD patients in The Cancer Genome Atlas database.Genes with differential expression linked to metabolic pathways were identified, and 20 genes were included to develop a risk signature. Further functional enrichment analysis was conducted to compare the biological pathways activated in high-risk versus low-risk groups.Single-cell RNA sequencing was employed to identify the expression profile and role of MS4A7 in different macrophage populations within the LUAD.The constructed prognostic model displayed high predictive accuracy, outperforming single gene-based predictions. High-risk patients exhibited significantly poorer survival outcomes. Pathway enrichment analysis revealed dysregulated metabolic pathways in highrisk patients, including activation of glycolysis, mTORC1 signaling, and ROS production.Single-cell RNA sequencing revealed that MS4A7 expression was predominantly found in macrophage populations, with high expression localized in MS4A7+ macrophages. These macrophages exhibited distinct metabolic reprogramming and key immune functions, particularly in crosstalk with T cells and neutrophils.The MS4A7 gene plays a critical role in LUAD prognosis, particularly through its involvement in immune modulation within the TME. MS4A7 + macrophages, characterized by distinct metabolic reprogramming and immune interactions, are pivotal in shaping LUAD progression and immune response. The findings highlight the potential of MS4A7 as a novel prognostic biomarker and therapeutic target for LUAD. Further investigation into the metabolic and immune regulatory mechanisms of MS4A7 + macrophages could offer new insights into LUAD treatment strategies.

Keywords: MS4A7, Prognosis prediction, Lung Adenocarcinoma, Tumor Microenvironment, metabolism-related genes

Received: 11 Mar 2025; Accepted: 16 Apr 2025.

Copyright: © 2025 Jiang, Shu, Zeng, Cheng, He, Zhao, Li and Wang. 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: Yan Jiang, Sichuan University, Chengdu, China

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