Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Samantha Maisel
Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Yeonjoo C Hwang
Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Bryan C Pascual
Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Rebecca RB Wolber
Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Phuong Vu
Department of Medicine, Harvard Medical School, Boston, United States; Massachusetts General Hospital Cancer Center, Boston, United States
Krushna C Patra
Department of Medicine, Harvard Medical School, Boston, United States; Massachusetts General Hospital Cancer Center, Boston, United States
Mehdi Bouhaddou
Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, United States; J. David Gladstone Institute, San Francisco, United States
Heidi L Kenerson
Department of Surgery and Northwest Liver Research Program, University of Washington, Seattle, United States
Huat C Lim
Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Donald Long
Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, New York, United States
Raymond S Yeung
Department of Surgery and Northwest Liver Research Program, University of Washington, Seattle, United States
Praveen Sethupathy
Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, New York, United States
Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, United States; J. David Gladstone Institute, San Francisco, United States
Nevan J Krogan
Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, United States
Rigney E Turnham
Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Kimberly J Riehle
Department of Surgery and Northwest Liver Research Program, University of Washington, Seattle, United States
Division of Hematology/Oncology, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States; Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, United States
Genetic alterations that activate protein kinase A (PKA) are found in many tumor types. Yet, their downstream oncogenic signaling mechanisms are poorly understood. We used global phosphoproteomics and kinase activity profiling to map conserved signaling outputs driven by a range of genetic changes that activate PKA in human cancer. Two signaling networks were identified downstream of PKA: RAS/MAPK components and an Aurora Kinase A (AURKA)/glycogen synthase kinase (GSK3) sub-network with activity toward MYC oncoproteins. Findings were validated in two PKA-dependent cancer models: a novel, patient-derived fibrolamellar carcinoma (FLC) line that expresses a DNAJ-PKAc fusion and a PKA-addicted melanoma model with a mutant type I PKA regulatory subunit. We identify PKA signals that can influence both de novo translation and stability of the proto-oncogene c-MYC. However, the primary mechanism of PKA effects on MYC in our cell models was translation and could be blocked with the eIF4A inhibitor zotatifin. This compound dramatically reduced c-MYC expression and inhibited FLC cell line growth in vitro. Thus, targeting PKA effects on translation is a potential treatment strategy for FLC and other PKA-driven cancers.