Diethylnitrosamine-Induced Liver Tumorigenesis in Mice Under High-Hat High-Sucrose Diet: Stepwise High-Resolution Ultrasound Imaging and Histopathological Correlations.

Diethylnitrosamine (DEN) Hepatocellular carcinoma (HCC) Histopathology Hypercaloric diet Mouse model Non-alcoholic fatty liver disease (NAFLD) Ultrasound

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2024
Historique:
medline: 5 2 2024
pubmed: 5 2 2024
entrez: 5 2 2024
Statut: ppublish

Résumé

The hepatotoxic N-nitroso compound diethylnitrosamine (DEN) administered intraperitoneally (i.p.) induces liver neoplasms in rodents that reproducibly recapitulate some aspects of human hepatocarcinogenesis. In particular, DEN drives the stepwise formation of pre-neoplastic and neoplastic (benign or malignant) hepatocellular lesions reminiscent of the initiation-promotion-progression sequence typical of chemical carcinogenesis. In humans, the development of hepatocellular carcinoma (HCC) is also a multi-step process triggered by continuous hepatocellular injury, chronic inflammation, and compensatory hyperplasia that fuel the emergence of dysplastic liver lesions followed by the formation of early HCC. The DEN-induced liver tumorigenesis model represents a versatile preclinical tool that enables the study of many tumor development modifiers (genetic background, gene knockout or overexpression, diets, pollutants, or drugs) with a thorough follow-up of the multistage process on live animals by means of high-resolution imaging. Here, we provide a comprehensive protocol for the induction of hepatocellular neoplasms in wild-type C57BL/6J male mice following i.p. DEN injection (25 mg/kg) at 14 days of age and 36 weeks feeding of a high-fat high-sucrose (HFHS) diet. We emphasize the use of ultrasound liver imaging to follow tumor development and provide histopathological correlations. We also discuss the extrinsic and intrinsic factors known to modify the course of liver tumorigenesis in this model.

Identifiants

DOI: 10.1007/978-1-0716-3694-7_3 PMID: 38315387
pubmed: 38315387
doi: 10.1007/978-1-0716-3694-7_3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

27-55

Informations de copyright

© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Pierre Cordier (P)

Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université Paris Cité, Paris, France.
Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, Paris, France.

Flora Sangouard (F)

Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université Paris Cité, Paris, France.
Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, Paris, France.

Jing Fang (J)

Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université Paris Cité, Paris, France.
Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, Paris, France.

Christelle Kabore (C)

Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université Paris Cité, Paris, France.
Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, Paris, France.

Chantal Desdouets (C)

Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université Paris Cité, Paris, France.
Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, Paris, France.

Séverine Celton-Morizur (S)

Centre de Recherche des Cordeliers, Sorbonne Université, INSERM, Université Paris Cité, Paris, France. severine.morizur@inserm.fr.
Genomic Instability, Metabolism, Immunity and Liver Tumorigenesis Laboratory, Equipe Labellisée Ligue Contre le Cancer, Paris, France. severine.morizur@inserm.fr.

Classifications MeSH