Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Multidrug Resistance-Linked Gene Signature Predicts Overall Survival of Patients with Primary Ovarian Serous Carcinoma

ABSTRACT: This study assesses the ability of multidrug resistance (MDR)-associated gene expression patterns to predict survival in patients with newly diagnosed carcinoma of the ovary. The scope of this research differs substantially from that of previous reports, as a very large set of genes was evaluated whose expression has been shown to affect response to chemotherapy. We applied a customized TaqMan Low-Density Array, a highly sensitive and specific assay, to study the expression profiles of 380 MDR-linked genes in 80 tumor specimens collected at initial surgery to debulk primary serous carcinoma of Mullerian origin. The RNA expression profiles of these drug resistance genes were correlated with clinical outcomes.

ORGANISM(S): Homo sapiens

SUBMITTER: jean-pierre gillet

PROVIDER: E-GEOD-30009 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Multidrug resistance-linked gene signature predicts overall survival of patients with primary ovarian serous carcinoma.

Gillet Jean-Pierre JP Calcagno Anna Maria AM Varma Sudhir S Davidson Ben B Bunkholt Elstrand Mari M Ganapathi Ram R Kamat Aparna A AA Sood Anil K AK Ambudkar Suresh V SV Seiden Michael V MV Rueda Bo R BR Gottesman Michael M MM

Clinical cancer research : an official journal of the American Association for Cancer Research 20120405 11

<h4>Purpose</h4>This study assesses the ability of multidrug resistance (MDR)-associated gene expression patterns to predict survival in patients with newly diagnosed carcinoma of the ovary. The scope of this research differs substantially from that of previous reports, as a very large set of genes was evaluated whose expression has been shown to affect response to chemotherapy.<h4>Experimental design</h4>We applied a customized TaqMan low density array, a highly sensitive and specific assay, to ...[more]

PMID: 22492981

Similar Datasets

Project description:The presence of tumor cells in effusions within serosal cavities is a clinical manifestation of advanced-stage cancer and is generally associated with poor survival. Identifying molecular targets may help to design efficient treatments to eradicate these aggressive cancer cells and improve patient survival. Using a state-of-the-art Taqman-based qRT-PCR assay, we investigated the multidrug resistance (MDR) transcriptome of 32 unpaired ovarian serous carcinoma effusion samples obtained at diagnosis or at disease recurrence following chemotherapy. MDR genes were selected a priori based on an extensive curation of the literature published during the last three decades. We found three gene signatures with a statistically significant correlation with overall survival (OS), response to treatment (complete response - CR vs. other), and progression free survival (PFS). The median log-rank p-values for the signatures were 0.023, 0.034, and 0.008, respectively. No correlation was found with residual tumor status after cytoreductive surgery, treatment (with or without chemotherapy) and stage defined according to the International Federation of Gynecology and Obstetrics. Further analyses demonstrated that gene expression alone can effectively predict the survival outcome of women with ovarian serous carcinoma (OS: log-rank p=0.0000 and PFS: log-rank p=0.002). Interestingly, the signature for overall survival is the same in patients at first presentation and those who had chemotherapy and relapsed. This pilot study highlights two new gene signatures that may help in optimizing the treatment for ovarian carcinoma patients with effusions. In the study presented here, effusion samples were obtained from 32 patients diagnosed with serous ovarian carcinoma (n=25), primary peritoneal serous carcinoma (n=6) or tubal serous carcinoma (n=1). They were accrued at the Division of Pathology in the Norwegian Radium Hospital from 2000-2006. RNA was used to study the expression profile of 381 multidrug resistant-related genes.

Dataset Information

Multidrug Resistance-Linked Gene Signature Predicts Overall Survival of Patients with Primary Ovarian Serous Carcinoma

Publications

Multidrug resistance-linked gene signature predicts overall survival of patients with primary ovarian serous carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets