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ORIGINAL RESEARCH article

Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1456719
This article is part of the Research Topic Deciphering Cancer Metabolism: A New Frontier in Tumor Immunology with Computational Innovation View all 6 articles

Fatty Acid Metabolism Prognostic Signature Predicts Tumor Immune Microenvironment And Immunotherapy, and Identifies Tumorigenic role of MOGAT2 In Lung Adenocarcinoma

Provisionally accepted
Denggang Fu Denggang Fu 1Biyu Zhang Biyu Zhang 2Wenyan Fan Wenyan Fan 3Fanfan Zeng Fanfan Zeng 3Jueping Feng Jueping Feng 4Xin Wang Xin Wang 3*
  • 1 Medical University of South Carolina, Charleston, South Carolina, United States
  • 2 Wuhan Institute of Technology, Wuhan, Hubei Province, China
  • 3 Jiujiang University, Jiujiang, Jiangxi Province, China
  • 4 Department of Oncology, Wuhan Fourth Hospital, Wuhan, Hubei Province, China

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

    Background: Aberrant fatty acid metabolism (FAM) plays a critical role in the tumorigenesis of human malignancies. However, studies on its impact in lung adenocarcinoma (LUAD) are limited.We developed a prognostic signature comprising 10 FAM-related genes (GPR115, SOAT2, CDH17, MOGAT2, COL11A1, TCN1, LGR5, SLC34A2, RHOV, and DKK1) using data from LUAD patients in The Cancer Genome Atlas (TCGA). This signature was validated using six independent LUAD datasets from the Gene Expression Omnibus (GEO). Patients were classified into high-and low-risk groups, and overall survival (OS) was compared by Kaplan-Meier analysis. The signature ' s independence as a prognostic indicator was assessed after adjusting for clinicopathological features.Receiver operating characteristic (ROC) analysis validated the signature. Tumor immune microenvironment (TIME) was analyzed using ESTIMATE and multiple deconvolution algorithms.Functional assays, including CCK8, cell cycle, apoptosis, transwell, and wound healing assays, were performed on MOGAT2-silenced H1299 cells using CRISPR/Cas9 technology.Results: Low-risk group patients exhibited decreased OS. The signature was an independent prognostic indicator and demonstrated strong risk-stratification utility for disease relapse/progression. ROC analysis confirmed the signature's validity across validation sets. TIME analysis revealed higher infiltration of CD8+ T cells, natural killers, and B cells, and lower tumor purity, stemness index, and tumor mutation burden (TMB) in low-risk patients. These patients also showed elevated T cell receptor richness and diversity, along with reduced immune cell senescence. High-risk patients exhibited enrichment in pathways related to resistance to immune checkpoint blockades, such as DNA repair, hypoxia, epithelialmesenchymal transition, and the G2M checkpoint. LUAD patients receiving anti-PD-1 treatment had lower risk scores among responders compared to non-responders. MOGAT2 was expressed at higher levels in low-risk LUAD patients. Functional assays revealed that MOGAT2 knockdown in H1299 cells promoted proliferation and migration, induced G2 cell cycle arrest, and decreased apoptosis.This FAM-related gene signature provides a valuable tool for prognostic stratification and monitoring of TIME and immunotherapy responses in LUAD. MOGAT2 is identified as a potential antitumor regulator, offering new insights into its role in LUAD pathogenesis.

    Keywords: Lung Adenocarcinoma, fatty acid metabolism, prognosis, immune microenvironment, Immunotherapy, MOGAT2

    Received: 29 Jun 2024; Accepted: 01 Oct 2024.

    Copyright: © 2024 Fu, Zhang, Fan, Zeng, Feng 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: Xin Wang, Jiujiang University, Jiujiang, Jiangxi Province, China

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