Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Franz X. Schaub, Varsha Dhankani, Ashton C. Berger, Mihir Trivedi, Anne B. Richardson, Reid Shaw, Wei Zhao, Xiaoyang Zhang, Andrea Ventura, Yuexin Liu, Donald E. Ayer, Peter J. Hurlin, Andrew D. Cherniack, Robert N. Eisenman, Brady Bernard, Carla Grandori, Samantha J. Caesar-Johnson, John A. Demchok, Ina Felau, Melpomeni KasapiMartin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan (Julia) Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy DeFreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Ronald de Krijger,

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Although the MYC oncogene has been implicated in cancer, a systematic assessment of alterations of MYC, related transcription factors, and co-regulatory proteins, forming the proximal MYC network (PMN), across human cancers is lacking. Using computational approaches, we define genomic and proteomic features associated with MYC and the PMN across the 33 cancers of The Cancer Genome Atlas. Pan-cancer, 28% of all samples had at least one of the MYC paralogs amplified. In contrast, the MYC antagonists MGA and MNT were the most frequently mutated or deleted members, proposing a role as tumor suppressors. MYC alterations were mutually exclusive with PIK3CA, PTEN, APC, or BRAF alterations, suggesting that MYC is a distinct oncogenic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such as immune response and growth factor signaling; chromatin, translation, and DNA replication/repair were conserved pan-cancer. This analysis reveals insights into MYC biology and is a reference for biomarkers and therapeutics for cancers with alterations of MYC or the PMN. We present a computational study determining the frequency and extent of alterations of the MYC network across the 33 human cancers of TCGA. These data, together with MYC, positively correlated pathways as well as mutually exclusive cancer genes, will be a resource for understanding MYC-driven cancers and designing of therapeutics.

Original languageEnglish
Pages (from-to)282-300.e2
JournalCell Systems
Volume6
Issue number3
DOIs
Publication statusPublished - 28 Mar 2018

Keywords

  • MAX
  • MNT
  • MYC genomic alterations
  • TCGA
  • The Cancer Genome Atlas

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