Evidence map›Paper›PMID 40427173›Full record

ReviewCancers2025

From Genes to Environment: Elucidating Pancreatic Carcinogenesis Through Genetically Engineered and Risk Factor-Integrated Mouse Models.

Bin Yan, Anne-Kristin Fritsche, Erik Haußner, Tanvi Vikrant Inamdar, Helmut Laumen, Michael Boettcher, Martin Gericke, Patrick Michl, Jonas Rosendahl

Abstract readReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Bin YanDepartment of Internal Medicine IV, Heidelberg University Hospital, 69120 Heidelberg, Germany.ORCID 0000-0003-0854-7871
Anne-Kristin FritscheInstitute of Anatomy and Cell Biology, Martin-Luther-University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Erik HaußnerInstitute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Tanvi Vikrant InamdarDepartment of Internal Medicine I, Martin-Luther-University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Helmut LaumenDepartment of Internal Medicine I, Martin-Luther-University Halle-Wittenberg, 06120 Halle (Saale), Germany.
Michael BoettcherInstitute of Molecular Medicine, Section for Molecular Medicine of Signal Transduction, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, 06120 Halle (Saale), Germany.ORCID 0000-0003-0986-4465
Martin GerickeInstitute of Anatomy, Leipzig University, 04103 Leipzig, Germany.ORCID 0000-0002-0792-5394
Patrick MichlDepartment of Internal Medicine IV, Heidelberg University Hospital, 69120 Heidelberg, Germany.ORCID 0000-0002-0401-5600
Jonas RosendahlDepartment of Internal Medicine I, Martin-Luther-University Halle-Wittenberg, 06120 Halle (Saale), Germany.ORCID 0000-0003-4513-0506

Funding

Deutsche Forschungsgemeinschaft 449501615
6 · The paper itself

Abstract

Pancreatic cancer is characterized by late diagnosis, therapy resistance, and poor prognosis, necessitating the exploration of early carcinogenesis and prevention methods. Preclinical mouse models have evolved from cell line-based to human tumor tissue- or organoid-derived xenografts, now to humanized mouse models and genetically engineered mouse models (GEMMs). GEMMs, primarily driven by oncogenic Kras mutations and tumor suppressor gene alterations, offer a realistic platform for investigating pancreatic cancer initiation, progression, and metastasis. The incorporation of inducible somatic mutations and CRISPR-Cas9 screening methods has expanded their utility. To better recapitulate tumor initiation triggered by inflammatory cues, common pancreatic risk factors are being integrated into model designs. This approach aims to decipher the role of environmental factors as secondary or parallel triggers of tumor initiation alongside oncogenic burdens. Emerging models exploring pancreatitis, obesity, diabetes, and other risk factors offer significant translational potential. This review describes current mouse models for studying pancreatic carcinogenesis, their combination with inflammatory factors, and their utility in evaluating pathogenesis, providing guidance for selecting the most suitable models for pancreatic cancer research.

Indexed as

carcinogenesisdiabetesgenetically engineered mouse modelsobesitypancreatic cancerpancreatitisrisk factors

Identifiers

PMID40427173
PMCPMC12110317

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.