Evidence map›Paper›PMID 41937118›Full record

ArticleCancer medicine2026

Linking Targeted Pancreatic Cancer Genes With Metabolic Disorders: A Cross-Species Translational Pathway.

Dipanwita Nath, Caitlin Ditchfield, Joshua Price, Shivan Sivakumar, Simon W Jones, Animesh Acharjee

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Article in Cancer medicine, 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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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

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dipanwita NathDepartment of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Caitlin DitchfieldDepartment of Inflammation and Ageing, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK.
Joshua PriceDepartment of Inflammation and Ageing, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK.
Shivan SivakumarDepartment of Immunology and Immunotherapy, School of Infection, Inflammation and Immunology, College of Medicine and Health, Birmingham, UK.
Simon W JonesDepartment of Inflammation and Ageing, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Birmingham, Birmingham, UK.
Animesh AcharjeeDepartment of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0003-2735-7010

Funding

Birmingham Biomedical Research CentreMedical Research Council MR/W026961/1National Institute for Health and Care ResearchVersus Arthritis 21530, 21812
6 · The paper itself

Abstract

introductionPancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies because of its typically late diagnosis and limited treatment options, with surgical resection being the primary intervention. Emerging studies have consistently reported associations between PDAC and metabolic dysfunctions, including obesity, chronic inflammation, and diabetes. In this study, we investigated the molecular interplay between PDAC-associated genes and metabolic disorder pathways.

methodsWe analysed publicly available bulk RNA-Seq datasets from human and murine adipose tissues, complemented by single-cell RNA-Seq data from advanced-stage PDAC. A set of key genes, ITGAM, PECAM1, CCL5, STAT1, STAT2, and CD44, was examined for expression patterns across datasets. Unsupervised clustering techniques were applied to single-cell data to identify transcriptionally distinct populations. Functional analyses were conducted using KEGG pathway enrichment and STRING-based protein-protein interaction networks. To experimentally validate transcriptomic findings, we performed ΔCT-based quantitative PCR (qPCR) on human adipose tissue samples.

resultsGene expression analyses revealed significantly high expression of PDAC-associated markers in both obese human and mouse models. Specific single-cell clusters demonstrated transcriptional profiles linked to metabolic dysregulation in PDAC. Enrichment and network analyses implicated diabetic complication pathways and inflammatory signalling cascades. Experimental validation confirmed that genes such as ITGAM, CCL5, CXCL10, STAT1, and STAT2 were significantly upregulated in obese individuals compared to lean controls, underscoring a potential immunometabolic axis in PDAC pathophysiology.

conclusionOur findings highlight a strong association between the upregulation of PDAC recurrence genes and the activation of metabolic pathways linked to obesity, diabetes, and inflammation. The consistent expression patterns across species suggest potential for developing targeted therapies to inhibit these metabolic pathways post-pancreatic cancer resection, potentially reducing fatality.

Indexed as

Carcinoma, Pancreatic DuctalMetabolic DiseasesPancreatic NeoplasmsAdipose TissueAnimalsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceObesityTranscriptomeBiomarkers, Tumordiabetesmetabolic inflammationpancreatic ductal adenocarcinoma (PDAC)single‐cell RNA‐seqtranslational oncologyunsupervised clustering

Identifiers

PMID41937118
PMCPMC13051988

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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.