Evidence map›Paper›PMID 42991559›Full record

ReviewFrontiers in endocrinology2026

Bidirectional relationship between diabetes and pancreatic cancer: from mechanistic investigation to clinical application.

Jiangmin Wu, Tingting Jiang, Xiaojia Li, Dacheng Xie, Keping Xie

Abstract readReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

5 authors.

Jiangmin Wu *Center for Pancreatic Cancer Research, South China University of Technology, Guangzhou, China.
Tingting Jiang *Center for Pancreatic Cancer Research, South China University of Technology, Guangzhou, China.
Xiaojia Li *Center for Pancreatic Cancer Research, South China University of Technology, Guangzhou, China.
Dacheng Xie *Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Keping XieCenter for Pancreatic Cancer Research, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A well-established bidirectional causal relationship connects type 2 diabetes mellitus (T2DM) and pancreatic ductal adenocarcinoma (PDAC). Long-standing T2DM elevates pancreatic cancer risk approximately 1.8-2.2-fold, whereas 30%-74% of PDAC patients develop new-onset diabetes (NOD) 2-36 months before tumor detection, which mostly corresponds to tumour-originated type 3c pancreatogenic diabetes (T3cDM). Notably, 25%-40% of such patients achieve spontaneous glycemic recovery after R0 curative resection, solidifying the causal nature of PDAC-induced hyperglycemia. Six interrelated molecular mechanisms mediate their reciprocal crosstalk: chronic metabolic abnormality mediated by hyperinsulinemia and AGE-RAGE signaling, sustained inflammatory and macrophage remodeling, KRAS-driven oncogenic and epigenetic modification, pancreatic stellate cell-derived desmoplasia, tumor exosome-mediated β-cell damage, and gut-pancreas microbiome dysbiosis. Specifically, PDAC-secreted exosomes loaded with adrenomedullin, peritumor fibrotic islet destruction and circulating S100A8 peptide collectively lead to insulin deficiency, making T3cDM biochemically distinguishable from insulin-resistant classic T2DM by reduced pancreatic polypeptide and endogenous insulin concentrations. Clinically, END-PAC scoring and emerging machine learning algorithms facilitate risk stratification for early PDAC screening among patients aged 50 years or older with NOD. Nonetheless, prominent challenges remain: conflicting clinical data on the anti-PDAC potential of metformin and GLP-1RAs, ethnic heterogeneity limiting the generalizability of current prediction models, and up to 88% T3cDM misdiagnosis owing to the absence of global unified diagnostic benchmarks. Future translational research will center on prospective validation of multi-omic biomarkers, formulation of standardized T3cDM diagnostic criteria, large-scale screening trials, and rational repurposing of antidiabetic agents for pancreatic cancer prevention and adjuvant therapy.

Indexed as

Carcinoma, Pancreatic DuctalDiabetes Mellitus, Type 2Pancreatic NeoplasmsAnimalsHumansantidiabetic agentscancer preventiondiabetesnew-onset diabetespancreatic cancerpancreatogenic diabetes

Identifiers

PMID42991559
PMCPMC13736098

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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.