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A Myc Activity Signature Predicts Poor Clinical Outcomes in Myc-Associated Cancers.
- 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.)
- Subjects :
- Carcinoma, Ovarian Epithelial
Cell Line, Tumor
Humans
Medulloblastoma mortality
N-Myc Proto-Oncogene Protein genetics
Neoplasms therapy
Neoplasms, Glandular and Epithelial mortality
Neuroblastoma mortality
Ovarian Neoplasms mortality
Polymerase Chain Reaction
Prognosis
Proportional Hazards Models
Neoplasms mortality
Proto-Oncogene Proteins c-myc physiology
Subjects
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