Sorafenib induces cachexia by impeding transcriptional signaling of the SET1/MLL complex on muscle-specific genes.

Health sciences Internal medicine Medical specialty Medicine Oncology

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
18 Oct 2024
Historique:
received: 09 04 2024
revised: 27 06 2024
accepted: 06 09 2024
medline: 10 10 2024
pubmed: 10 10 2024
entrez: 10 10 2024
Statut: epublish

Résumé

Chemotherapeutics used in cancer therapy are often linked to muscle wasting or cachexia. Insights into the molecular basis of chemotherapy-induced cachexia is essential to improve treatment strategies. Here, we demonstrated that Sorafenib-tyrosine kinase inhibitor (TKI) class of chemotherapeutic agents-induced cachexia. System-wide analyses revealed that Sorafenib alters the global transcriptional program and proteostasis in muscle cells. Mechanistically, Sorafenib treatment reduced active epigenetic mark H3K4 methylation on distinct muscle-specific genes by impeding chromatin association of SET1A-catalytic component of the SET1/MLL histone methyltransferase complex. This mechanism favored transcriptional disorientation that led to disrupted sarcomere assembly, calcium homeostasis and mitochondrial respiration. Consequently, the contractile ability of muscle cells was severely compromised. Interestingly, the other prominent TKIs Nilotinib and Imatinib did not exert similar effects on muscle cell physiology. Collectively, we identified an unanticipated transcriptional mechanism underlying Sorafenib-induced cachexia. Our findings hold the potential to strategize therapy regimens to minimize chemotherapy-induced cachexia.

Identifiants

pubmed: 39386761
doi: 10.1016/j.isci.2024.110913
pii: S2589-0042(24)02138-2
pmc: PMC11462028
doi:

Types de publication

Journal Article

Langues

eng

Pagination

110913

Informations de copyright

© 2024 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests. During the preparation of this work the author(s) did not use any form of generative AI and AI-assisted technologies in the writing process.

Auteurs

Bushra Khan (B)

Institute of Molecular and Cell Physiology, Hannover Medical School, Hannover, Germany.

Chiara Lanzuolo (C)

Istituto Nazionale Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy.
Institute of Biomedical Technologies, National Research Council, Milan, Italy.

Valentina Rosti (V)

Istituto Nazionale Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy.
Institute of Biomedical Technologies, National Research Council, Milan, Italy.

Philina Santarelli (P)

Istituto Nazionale Genetica Molecolare 'Romeo ed Enrica Invernizzi', Milan, Italy.
Institute of Biomedical Technologies, National Research Council, Milan, Italy.

Andreas Pich (A)

Institute of Toxicology, Core Facility Proteomics, Hannover Medical School, Hannover, Germany.

Theresia Kraft (T)

Institute of Molecular and Cell Physiology, Hannover Medical School, Hannover, Germany.

Mamta Amrute-Nayak (M)

Institute of Molecular and Cell Physiology, Hannover Medical School, Hannover, Germany.

Arnab Nayak (A)

Institute of Molecular and Cell Physiology, Hannover Medical School, Hannover, Germany.

Classifications MeSH