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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Cancer Immunity and Immunotherapy

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1658897

Construction of a prognostic model for disulfidptosis related ferroptosis genes lung adenocarcinoma and the role of DECR1 in lung adenocarcinoma

Provisionally accepted
Haoran  LiuHaoran Liu1Ying  ZhangYing Zhang1Yuqing  DongYuqing Dong1Xintong  JiangXintong Jiang1Shuyang  XieShuyang Xie2,3Pingyu  WangPingyu Wang1*
  • 1School of Public Health, Binzhou Medical University, Yantai, China
  • 2Department of Biochemistry and Molecular Biology, Binzhou Medical University, Yantai, China
  • 3Shandong Laboratory of Advanced Materials and Green Manufacturing, Yantai, China

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

Background: Lung adenocarcinoma (LUAD) is one of the common malignant tumors worldwide, and the 5-year survival rate remains unsatisfactory. To investigate the association between disulfidptosis-related ferroptosis genes (DFRGs) and the prognosis of patients with LUAD, establish a risk prognostic model, validate key biomarkers in vitro, and provide references for the prognosis of LUAD patients. Methods: R software was employed to identify DFRGs. Univariate Cox regression and Lasso-Cox regression analyses were combined to construct a risk score prognostic model. The predictive power of the model was evaluated using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and calibration curves. Immune-related functions, tumor mutation burden, and single-cell analyses were performed on the model genes. Finally, in vitro validation of key prognostic markers was conducted via qRT-PCR, wound healing assay, Transwell assay, CCK8 assay, and flow cytometry apoptosis assay. Results: Six DFRGs were screened through univariate Cox regression and Lasso-Cox regression analyses to construct the prognostic model. The areas under the ROC curve (AUC) for 1, 2, and 3 years in the training set were 0.836, 0.771, and 0.786, respectively. Decision curve analysis (DCA) indicated that the risk score model effectively predicted lung adenocarcinoma prognosis. In vitro validation demonstrated that knockdown of DECR1 significantly suppressed lung adenocarcinoma cell proliferation and migration, and promoted cell apoptosis (P < 0.05). Conclusion: This study established a risk score model based on six DFRGs, which demonstrated favorable prognostic value. DECR1 promotes the progression of LUAD and holds promise as an effective biomarker.

Keywords: lung adenocarcinoma1, disulfidptosis2, prognostic mode3, Ferroptosis4, biomarker5

Received: 03 Jul 2025; Accepted: 30 Sep 2025.

Copyright: © 2025 Liu, Zhang, Dong, Jiang, Xie 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: Pingyu Wang, wangpingyu@bzmc.edu.cn

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