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Gynecol Oncol. 2013 Mar;128(3):512-7. doi: 10.1016/j.ygyno.2012.11.018. Epub 2012 Nov 17.

Validated gene targets associated with curatively treated advanced serous ovarian carcinoma.

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  • 1Gynecology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.

Abstract

OBJECTIVES:

High-grade serous ovarian cancer (HGSOC) mostly presents at an advanced stage and has a low overall survival rate. However, a subgroup of patients are seemingly cured after standard initial therapy. We hypothesize that the molecular profiles of these patients vary from long-term survivors who recur.

METHODS:

Patients with advanced HGSOC who underwent primary cytoreductive surgery and platinum-based chemotherapy were identified from The Cancer Genome Atlas (TCGA) and institutional (MSKCC) samples. A curative-intent group was defined by recurrence-free survival of >5years. A long-term recurrent group was composed of patients who recurred but survived >5years. RNA was hybridized to Affymetrix U133A transcription microarrays. The NanoString nCounter gene expression system was used for validation in an independent patient population.

RESULTS:

In 30 curative and 84 recurrent patients, class comparison identified twice as many differentially expressed probes between the groups than expected by chance alone. TCGA and MSKCC data sets had 19 overlapping genes. Pathway analyses identified over-represented networks that included nuclear factor kappa B (NFkB) transcription and extracellular signal-regulated kinase (ERK) signaling. External validation was performed in an independent population of 28 curative and 38 recurrent patients. Three genes (CYP4B1, CEPT1, CHMP4A) in common between our original data sets remained differentially expressed in the external validation data.

CONCLUSIONS:

There are distinct transcriptional elements in HGSOC from patients likely to be cured by standard primary therapy. Three genes have withstood rigorous validation and are plausible targets for further study, which may provide insight into molecular features associated with long-term survival and chemotherapy resistance mechanisms.

Copyright © 2012 Elsevier Inc. All rights reserved.

PMID:
23168173
[PubMed - indexed for MEDLINE]
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