Evidence map›Paper›PMID 40677006›Full record

ArticleRadiology and oncology2025

Cuproptosis-related gene

Riyuan Zhang, Zixia Xu, Yurui Zhuang, Yuzhe Shi, Ziyi Guo, Chong Chen

Abstract readValidation Study
In one paragraph

Article in Radiology and oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Riyuan ZhangDepartment of Hepatobiliary and Pancreatic Surgery, People's Hospital of Pingyang County, Wenzhou, China.
Zixia XuThe First Clinical Medical College, Wenzhou Medical University, Wenzhou, China.
Yurui ZhuangThe First Clinical Medical College, Wenzhou Medical University, Wenzhou, China.
Yuzhe ShiThe First Clinical Medical College, Wenzhou Medical University, Wenzhou, China.
Ziyi GuoDepartments of Endocrinology, Minhang Hospital, Fudan University, Shanghai, China.
Chong ChenDepartment of Hepatobiliary and Pancreatic Surgery, People's Hospital of Pingyang County, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBackground. Pancreatic adenocarcinoma (PAAD) is a malignancy with a very poor prognosis. The clinical significance of cuproptosis in PAAD combining single cell data with The Cancer Genome Atlas (TCGA) data is unclear. MATERIALS AND

methodsIn this study, we first identified gene modules associated with cuproptosis by performing single-cell analysis and weighted co-expression network analysis (WCGNA). According to TCGA data, Cox regression and LASSO regression analysis were used to establish prognostic models, and PAAD patients were divided into high-risk and low-risk groups according to cuproptosis-related risk score. Then 7 algorithms were used to evaluate cancer immune microenvironment, followed by the mutation analysis. The expression levels and prognostic significance of the 8 model genes were analysed using single-gene analysis, Kaplan-Meier survival plots, and quantitative PCR (qPCR) validation. Finally, the biological function of

resultsWe identified cuproptosis-related genes (CRG) in PAAD by performing single-cell analysis and WCGNA, and constructed a cuproptosis-related prognostic model of PAAD by comprehensive bioinformatics analyses. Based on cuproptosis-related risk score, there were significant differences in survival time between two groups. We further constructed a cuproptosis-related risk score-based nomogram to accurately assess PAAD patient prognosis. Immune infiltration analysis revealed that PAAD samples with higher cuproptosis-related scores exhibited significantly lower immune infiltration levels, which may mechanistically underlie their poorer clinical outcomes. Furthermore, the high-risk group had a higher mutation rate of the same mutated gene, which means that they are more likely to benefit from immunotherapy. Finally, we identified that

conclusionsIn this study, a novel prognostic model of PAAD was constructed to evaluate the prognosis and immune microenvironment of PAAD patients, and

Indexed as

AdenocarcinomaBiomarkers, TumorCell Cycle ProteinsPancreatic NeoplasmsCell Line, TumorFemaleHumansMaleMiddle AgedMultiomicsMutationPrognosisSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorCell Cycle ProteinsCep55 protein, humancuproptosismulti-omics techniquespancreatic adenocarcinomasingle-cell analysis

Identifiers

PMID40677006
PMCPMC12441886

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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 OpenQuestion graph.