ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1571431

This article is part of the Research TopicThe Role of Metabolic Reprogramming in Tumor TherapyView all 11 articles

Integrative single-cell RNA sequencing and bulk RNA sequencing reveals the characteristics of glutathione metabolism and protective role of GSTA4 gene in pancreatic cancer

Provisionally accepted
Xinya  JiaXinya Jia1Qiang  ZhangQiang Zhang1Zhe  WangZhe Wang2Jianliang  CaoJianliang Cao1Anran  SongAnran Song3*Chao  LanChao Lan1*Yuepeng  HuYuepeng Hu1*
  • 1Department of Emergency Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
  • 2Henan Provincial People's Hospital, Zhengzhou, Henan Province, China
  • 3First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China

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

Background: Recent studies have increasingly reported abnormal glutathione (GSH) metabolism within the tumor microenvironment across various solid tumors. However, the specific mechanisms underlying aberrant GSH metabolism in pancreatic cancer (PC) remain unclear. This study aims to investigate the prognostic significance of GSH metabolism-related genes in PC and to identify key molecular targets, thereby providing novel perspectives for targeted PC therapy.Methods: The GSH metabolism gene set was retrieved from the KEGG database.Utilizing single-cell transcriptomic data from the GSE205049 dataset, this study analyzed the variation in GSH metabolic signaling intensity across distinct cell types within the tumor microenvironment of PC. Additionally, transcriptomic data from multiple repositories, including TCGA, ICGC, and GEO, comprising a total of 930 patients with PC, were integrated to construct a prognostic molecular classifier related to GSH metabolism. Furthermore, the role of the key gene GSTA4 in PC was experimentally validated through a series of in vitro assays.Results: Significant differences in GSH metabolic signaling intensity were observed across various cell types in both normal pancreatic and PC tissues. A prognostic signature comprising six GSH metabolism-related genes (GSTA5, PGD, IDH1, GSTA4, GPX2, and GPX3) was established, wherein a high risk score was associated with a poorer patient prognosis. Notably, GSTA4 expression was significantly reduced in PC tissues, and higher GSTA4 levels were linked to a favorable prognosis.In vitro functional analyses demonstrated that GSTA4 overexpression markedly inhibited PC cell proliferation and migration.The GSH metabolism-associated prognostic signature developed in this study effectively identifies high-risk patients with PC. As a prognostic protective factor, GSTA4 exhibits downregulated expression in PC tissues and suppresses tumor proliferation and migration, highlighting its potential as a therapeutic target.

Keywords: single-cell RNA sequencing, Bulk RNA sequencing, GSH metabolism, GSTA4 gene, Pancreatic Cancer

Received: 05 Feb 2025; Accepted: 07 Apr 2025.

Copyright: © 2025 Jia, Zhang, Wang, Cao, Song, Lan and Hu. 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:
Anran Song, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan Province, China
Chao Lan, Department of Emergency Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
Yuepeng Hu, Department of Emergency Medicine, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China

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