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Discovery Proteomics Analysis Determines That Driver Oncogenes Suppress Antiviral Defense Pathways Through Reduction in Interferon-ß Autocrine Stimulation.
Solomon, Paige E; Kirkemo, Lisa L; Wilson, Gary M; Leung, Kevin K; Almond, Mark H; Sayles, Leanne C; Sweet-Cordero, E Alejandro; Rosenberg, Oren S; Coon, Joshua J; Wells, James A.
  • Solomon PE; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.
  • Kirkemo LL; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.
  • Wilson GM; Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Leung KK; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA.
  • Almond MH; Division of Infectious Diseases, Department of Medicine, UCSF Medical Center, University of California, San Francisco, California, USA.
  • Sayles LC; Department of Pediatrics, University of California San Francisco, California, USA.
  • Sweet-Cordero EA; Department of Pediatrics, University of California San Francisco, California, USA.
  • Rosenberg OS; Division of Infectious Diseases, Department of Medicine, UCSF Medical Center, University of California, San Francisco, California, USA; Department of Biophysics and Biochemistry, Chan Zuckerberg Biohub, San Francisco, California, USA.
  • Coon JJ; Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, USA; National Center for Quantitative Biology of Complex Systems, University of Wisconsin-Madison, Madison, Wisconsin, USA.
  • Wells JA; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA. Electronic address: jim.wells@ucsf.edu.
Mol Cell Proteomics ; 21(7): 100247, 2022 07.
Article in English | MEDLINE | ID: covidwho-1907570
ABSTRACT
Since the discovery of oncogenes, there has been tremendous interest to understand their mechanistic basis and to develop broadly actionable therapeutics. Some of the most frequently activated oncogenes driving diverse cancers are c-MYC, EGFR, HER2, AKT, KRAS, BRAF, and MEK. Using a reductionist approach, we explored how cellular proteomes are remodeled in isogenic cell lines engineered with or without these driver oncogenes. The most striking discovery for all oncogenic models was the systematic downregulation of scores of antiviral proteins regulated by type 1 interferon. These findings extended to cancer cell lines and patient-derived xenograft models of highly refractory pancreatic cancer and osteosarcoma driven by KRAS and MYC oncogenes. The oncogenes reduced basal expression of and autocrine stimulation by type 1 interferon causing remarkable convergence on common phenotypic and functional profiles. In particular, there was dramatically lower expression of dsRNA sensors including DDX58 (RIG-I) and OAS proteins, which resulted in attenuated functional responses when the oncogenic cells were treated with the dsRNA mimetic, polyIC, and increased susceptibility to infection with an RNA virus shown using SARS-CoV-2. Our reductionist approach provides molecular and functional insights connected to immune evasion hallmarks in cancers and suggests therapeutic opportunities.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Oncogenes / Interferon-beta / Proteomics / COVID-19 Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Animals / Humans Language: English Journal: Mol Cell Proteomics Journal subject: Molecular Biology / Biochemistry Year: 2022 Document Type: Article Affiliation country: J.mcpro.2022.100247

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Oncogenes / Interferon-beta / Proteomics / COVID-19 Type of study: Prognostic study / Systematic review/Meta Analysis Limits: Animals / Humans Language: English Journal: Mol Cell Proteomics Journal subject: Molecular Biology / Biochemistry Year: 2022 Document Type: Article Affiliation country: J.mcpro.2022.100247