Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/119377
Title: From genes to environment : elucidating pancreatic carcinogenesis through genetically engineered and risk factor-integrated mouse models
Author(s): Yan, Bin
Fritsche, Anne-Kristin
Haußner, Erik
Inamdar, Tanvi Vikrant
Laumen, HelmutLook up in the Integrated Authority File of the German National Library
Boettcher, MichaelLook up in the Integrated Authority File of the German National Library
Gericke, MartinLook up in the Integrated Authority File of the German National Library
Michl, PatrickLook up in the Integrated Authority File of the German National Library
Rosendahl, JonasLook up in the Integrated Authority File of the German National Library
Issue Date: 2025
Type: Article
Language: English
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.
URI: https://opendata.uni-halle.de//handle/1981185920/121335
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Cancers
Publisher: MDPI
Publisher Place: Basel
Volume: 17
Issue: 10
Original Publication: 10.3390/cancers17101676
Page Start: 1
Page End: 24
Appears in Collections:Open Access Publikationen der MLU

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