Evidence map›Paper›PMID 41952003›Full record

ArticleDiscover oncology2026

Identification of mitochondrial oxidative stress-related genes for estimating prognosis, immune infiltration landscape and drug candidates in pancreatic adenocarcinoma.

Ruiguang Ma, Xuechun Liu, Ruining Gong, Yueping Jiang

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ruiguang Ma *Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China.
Xuechun Liu *Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China.
Ruining GongGastrointestinal Cancer Institute/Pancreatic Disease Institute, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China. gruining@163.com.
Yueping JiangDepartment of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China. jiangyueping@qdu.edu.cn.

Funding

the 2024 Affiliated Hospital of Qingdao University Youth Research Fund Approved Projects QDFYQN2024102the Natural Science Foundation of Shandong ZR2025QC832
6 · The paper itself

Abstract

backgroundPancreatic adenocarcinoma (PAAD) represents a highly lethal form of cancer. Mitochondrial stress responses play a critical role in cancer development and therapeutic responses.

methodsTranscriptomic and clinical survival data for PAAD and normal pancreatic tissues were sourced from TCGA, GEO, and GTEx databases. Random survival forest and Cox regression analyses were used to identify MOS prognostic genes and construct a prognostic risk model. Subsequently, receiver operating characteristic (ROC) curve analysis, calibration curve analysis, and decision curve analysis were performed to evaluate the model’s performance in both the training and validation sets. Finally, enrichment analysis, protein-protein interaction network construction, unsupervised cluster analysis, tumor immune microenvironment assessment, and chemotherapeutic drug sensitivity analyses were conducted. Finally, we also performed RT-qPCR for validation.

resultsFive MOS-related genes were identified to construct the risk signature: ABCG1, CENPT, GMNN, NOG, and TOP2A. The predictive performance of the risk signature was validated in both the training set (TCGA) and the test sets (GSE62452 and GSE78229), with areas under the ROC curve for 3-year survival being 0.77, 0.74, and 0.75, respectively. Mechanistically, functional enrichment analysis revealed that pathways associated with cancer cell proliferation and mitochondrial stress responses were upregulated in the high-risk population. Furthermore, specific small molecules may hold therapeutic potential for treating PAAD patients. RT-qPCR results validated the changes in relative RNA expression levels.

conclusionThis study demonstrates that mitochondrial oxidative stress is correlated with the prognosis of PAAD and may serve as a novel biomarker and therapeutic target for clinical diagnostics.

Indexed as

BiomarkerMitochondrial oxidative stressPancreatic adenocarcinomaPrognosis

Identifiers

PMID41952003
PMCPMC13199574

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.