Identification of a gene expression signature associated with the metastasis suppressor function of NME1: prognostic value in human melanoma
Although NME1 is well known for its ability to suppress metastasis of melanoma, the molecular mechanisms underlying this activity are not completely understood. Herein, we utilized a bioinformatics approach to systematically identify genes whose expression is correlated with the metastasis suppresso...
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Published in | Laboratory investigation Vol. 98; no. 3; pp. 327 - 338 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Elsevier Inc
01.03.2018
Nature Publishing Group US Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Although NME1 is well known for its ability to suppress metastasis of melanoma, the molecular mechanisms underlying this activity are not completely understood. Herein, we utilized a bioinformatics approach to systematically identify genes whose expression is correlated with the metastasis suppressor function of NME1. This was accomplished through a search for genes that were regulated by NME1, but not by NME1 variants lacking metastasis suppressor activity. This approach identified a number of novel genes, such as ALDOC, CXCL11, LRP1b, and XAGE1 as well as known targets such as NETO2, which were collectively designated as an NME1-Regulated Metastasis Suppressor Signature (MSS). The MSS was associated with prolonged overall survival in a large cohort of melanoma patients in The Cancer Genome Atlas (TCGA). The median overall survival of melanoma patients with elevated expression of the MSS genes was >5.6 years longer compared with that of patients with lower expression of the MSS genes. These data demonstrate that NMEl represents a powerful tool for identifying genes whose expression is associated with metastasis and survival of melanoma patients, suggesting their potential applications as prognostic markers and therapeutic targets in advanced forms of this lethal cancer. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Authors contributed equally to this work. Current Address: Personal Genome Diagnostics, 2809 Boston St #503, Baltimore, MD 21224 USA This work was performed as part of the dissertation studies of Drs. McCorkle, Novak and Zhang in the Department of Molecular and Biomedical Pharmacology, University of Kentucky, Lexington, KY 40536-0298, USA |
ISSN: | 0023-6837 1530-0307 |
DOI: | 10.1038/labinvest.2017.108 |