Evidence map›Paper›PMID 42713923›Full record

ArticleGenetics research2026

Prognostic and Immunological Value of CTNNB1 in Pancreatic Adenocarcinoma: A Comprehensive NGS and Multicomponent Analysis.

ShuYan Liu, Yichen Wu, Hong Zhou, Ying Ding

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Article in Genetics research, 2026. 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

4 authors.

ShuYan LiuDepartment of Pathology, Nantong First People's Hospital, Nantong Jiangsu, 226001, China, nt2191.com.ORCID https://orcid.org/0009-0007-0185-8622
Yichen WuDepartment of Pharmaceutical Engineering, Nanjing University of Technology, Nanjing 210000, China, njtech.edu.cn.
Hong ZhouDepartment of Pathology, Nantong First People's Hospital, Nantong Jiangsu, 226001, China, nt2191.com.
Ying DingDepartment of Pathology, The First Affiliated Hospital With Nanjing Medical University, Nanjing 210000, China, njmu.edu.cn.ORCID https://orcid.org/0000-0001-5581-3058

Funding

Nantong Social Livelihood Science and Technology Program of Jiangsu Province MSZ2025025Nantong University Graduate Innovation Project YKC16070National Natural Science Foundation of China 82172991
6 · The paper itself

Abstract

backgroundTo explore the prognostic value and immunomodulatory role of CTNNB1 in pancreatic ductal adenocarcinoma (PDAC), so as to provide evidence for the diagnosis and individualized treatment of PDAC.

methodsNext-generation sequencing (NGS) was performed to detect 425 cancer-associated genes in PDAC specimens and matched normal pancreatic tissues. Integrative transcriptome analysis based on TCGA, GTEx, and multiple GEO datasets was conducted to identify the differential expression of CTNNB1 between PDAC and normal pancreatic tissues. The Human Protein Atlas (HPA, https://www.proteinatlas.org/) database was used to verify the protein expression and subcellular localization of CTNNB1 in normal pancreatic tissues and pancreatic ductal adenocarcinoma (PDAC) tissues. Single-cell RNA-sequencing and spatial transcriptomic data were further supplemented to delineate its cellular expression landscape. Forest plot, Kaplan-Meier survival analysis, and ROC curve analysis were applied to evaluate the correlations between CTNNB1 expression and prognostic and to verify its prognostic accuracy. The prognostic reliability was further validated using the independent cohort GSE57495. Immune cell infiltration and immune regulatory factors were quantified via TIMER, EPIC, MCPcounter, CIBERSORT, and xCell algorithms, and TMEscore was calculated to predict the responsiveness to immune checkpoint blockade (ICB). Pharmacogenomic datasets including GDSC1, GDSC2, PRISM, and CTRP were utilized to screen optimal candidate drugs for CTNNB1-high PDAC patients.

resultsCTNNB1 was significantly overexpressed in PDAC compared with normal pancreatic tissues. HPA immunohistochemistry confirmed CTNNB1 shifts from membranous to cytoplasmic localization in PDAC, indicating activated Wnt signaling and concordant dysregulation at mRNA and protein levels. CTNNB1 protein was mainly localized in malignant epithelial cells of PDAC, with elevated expression also observed in partial immune cell subsets by single-cell sequencing and spatial transcriptome assessment. Upregulated CTNNB1 was significantly linked to unfavorable clinical prognosis in PDAC. ROC analysis verified its good diagnostic efficiency for distinguishing PDAC from peritumoral tissues with favorable sensitivity and specificity. CTNNB1 expression was closely correlated with multiple immune biomarker molecules and ICB therapeutic efficacy; patients with low CTNNB1 expression tended to be more responsive to ICB treatment. Pharmacological prediction revealed that PDAC patients with high CTNNB1 expression exhibited enhanced sensitivity to clofibrate and several other small-molecule compounds.

conclusionCTNNB1 may be remarkably effective as a suitable biomarker for the prognosis prediction of PDAC patients and is closely related to the tumor immune microenvironment. Such an association could provide novel thoughts for the therapy tactics and mechanistic studies toward PDAC.

Indexed as

Adenocarcinomabeta CateninBiomarkers, TumorCarcinoma, Pancreatic DuctalPancreatic NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMalePrognosisTranscriptomebeta CateninBiomarkers, TumorCTNNB1 protein, humanbiomarkerCTNNB1immune microenvironmentimmunotherapypancreatic cancerprognosis

Identifiers

PMID42713923
PMCPMC13555821

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