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A Myc Activity Signature Predicts Poor Clinical Outcomes in Myc-Associated Cancers.

Authors :
Jung M
Russell AJ
Liu B
George J
Liu PY
Liu T
DeFazio A
Bowtell DD
Oberthuer A
London WB
Fletcher JI
Haber M
Norris MD
Henderson MJ
Source :
Cancer research [Cancer Res] 2017 Feb 15; Vol. 77 (4), pp. 971-981. Date of Electronic Publication: 2016 Dec 06.
Publication Year :
2017

Abstract

Myc transcriptional activity is frequently deregulated in human cancers, but a Myc-driven gene signature with prognostic ability across multiple tumor types remains lacking. Here, we selected 18 Myc-regulated genes from published studies of Myc family targets in epithelial ovarian cancer (EOC) and neuroblastoma. A Myc family activity score derived from the 18 genes was correlated to MYC / MYCN / MYCL1 expression in a panel of 35 cancer cell lines. The prognostic ability of this signature was evaluated in neuroblastoma, medulloblastoma, diffuse large B-cell lymphoma (DLBCL), and EOC microarray gene expression datasets using Kaplan-Meier and multivariate Cox regression analyses and was further validated in 42 primary neuroblastomas using qPCR. Cell lines with high MYC, MYCN , and/or MYCL1 gene expression exhibited elevated expression of the signature genes. Survival analysis showed that the signature was associated with poor outcome independently of well-defined prognostic factors in neuroblastoma, breast cancer, DLBCL, and medulloblastoma. In EOC, the 18-gene Myc activity signature was capable of identifying a group of patients with poor prognosis in a "high- MYCN " molecular subtype but not in the overall cohort. The predictive ability of this signature was reproduced using qPCR analysis of an independent cohort of neuroblastomas, including a subset of tumors without MYCN amplification. These data reveal an 18-gene Myc activity signature that is highly predictive of poor prognosis in diverse Myc-associated malignancies and suggest its potential clinical application in the identification of Myc-driven tumors that might respond to Myc-targeted therapies. Cancer Res; 77(4); 971-81. ©2016 AACR .<br /> (©2016 American Association for Cancer Research.)

Details

Language :
English
ISSN :
1538-7445
Volume :
77
Issue :
4
Database :
MEDLINE
Journal :
Cancer research
Publication Type :
Academic Journal
Accession number :
27923830
Full Text :
https://doi.org/10.1158/0008-5472.CAN-15-2906