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Faulty Metabolism: A Potential Instigator of an Aggressive Phenotype in Cdk5-dependent Medullary Thyroid Carcinoma.
Gupta, Priyanka; Herring, Brendon; Kumar, Nilesh; Telange, Rahul; Garcia-Buntley, Sandra S; Caceres, Tessa W; Colantonio, Simona; Williams, Ford; Kurup, Pradeep; Carter, Angela M; Lin, Diana; Chen, Herbert; Rose, Bart; Jaskula-Sztul, Renata; Mukhtar, Shahid; Reddy, Sushanth; Bibb, James A.
Afiliación
  • Gupta P; Department of Translational Neuroscience, University of Arizona School of Medicine in Phoenix, Phoenix, AZ 85004-2230, USA.
  • Herring B; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Kumar N; Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
  • Telange R; Department of Hematology, St Jude Children's Research Hospital, Memphis, TN 38105, USA.
  • Garcia-Buntley SS; Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, USA.
  • Caceres TW; Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, USA.
  • Colantonio S; Cancer Research Technology Program, Antibody Characterization Lab, Frederick National Laboratory for Cancer Research, Frederick, MD, 21702, USA.
  • Williams F; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Kurup P; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Carter AM; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Lin D; Department of Pathology, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Chen H; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Rose B; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Jaskula-Sztul R; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Mukhtar S; Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
  • Reddy S; Department of Surgery, University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL 35233, USA.
  • Bibb JA; Department of Translational Neuroscience, University of Arizona School of Medicine in Phoenix, Phoenix, AZ 85004-2230, USA.
bioRxiv ; 2023 Jun 14.
Article en En | MEDLINE | ID: mdl-37398342
ABSTRACT
Mechanistic modeling of cancers such as Medullary Thyroid Carcinoma (MTC) to emulate patient-specific phenotypes is challenging. The discovery of potential diagnostic markers and druggable targets in MTC urgently requires clinically relevant animal models. Here we established orthotopic mouse models of MTC driven by aberrantly active Cdk5 using cell-specific promoters. Each of the two models elicits distinct growth differences that recapitulate the less or more aggressive forms of human tumors. The comparative mutational and transcriptomic landscape of tumors revealed significant alterations in mitotic cell cycle processes coupled with the slow-growing tumor phenotype. Conversely, perturbation in metabolic pathways emerged as critical for aggressive tumor growth. Moreover, an overlapping mutational profile was identified between mouse and human tumors. Gene prioritization revealed putative downstream effectors of Cdk5 which may contribute to the slow and aggressive growth in the mouse MTC models. In addition, Cdk5/p25 phosphorylation sites identified as biomarkers for Cdk5-driven neuroendocrine tumors (NETs) were detected in both slow and rapid onset models and were also histologically present in human MTC. Thus, this study directly relates mouse and human MTC models and uncovers vulnerable pathways potentially responsible for differential tumor growth rates. Functional validation of our findings may lead to better prediction of patient-specific personalized combinational therapies.
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Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos