Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA alterations associated to clinical response in advanced stage ovarian cancer patients (test set)

ABSTRACT: In order to investigate miRNA alterations associated to early relapse in ovarian cancer patietns, we analyzed miRNA expression profile in a test set of 30 surgical specimens including 13 early and 17 late relapsing patients. Samples included in test set were obtained from formalin-fixed paraffin-embedded (FFPE) specimens. Patients were selected on the basis of residual disease after primary surgery and time to relapse (TTR) after front-line chemotherapy. For the test set, a selection of the outliers concerning TTR was made: 12 months from the end of therapy was the TTR selected to define early (<12 months) or late (>12 months) relapsing patients. Clinical codes: Histotype: according to International Federation of Gynecological and Obstetrics guidelines Stage: according to International Federation of Gynecological and Obstetrics guidelines Grading: according to International Federation of Gynecological and Obstetrics guidelines Debulking: NED: not evident disease; mRD: minimal residual disease; GRD: gross residual disease Therapy code: P: Platinum without taxanes; PT: Platinum/paclitaxel End Point: Early: relapse whithin 12 and 6 months from the end of therapy for optimally (NED+ mRD) and sub-optimally (GRD) debulked patients respectively. Late: median time to relapse 48 and 34 months from the end of therapy for optimally and sub-optimally debulked patients respectively.

ORGANISM(S): Homo sapiens

SUBMITTER: Loris De Cecco

PROVIDER: E-GEOD-25203 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of a chrXq27.3 microRNA cluster associated with early relapse in advanced stage ovarian cancer patients.

Bagnoli Marina M De Cecco Loris L Granata Anna A Nicoletti Roberta R Marchesi Edoardo E Alberti Paola P Valeri Barbara B Libra Massimo M Barbareschi Mattia M Raspagliesi Francesco F Mezzanzanica Delia D Canevari Silvana S

Oncotarget 20111201 12

A major challenge in advanced-stage epithelial ovarian cancer (EOC) is prediction of chemoresistant relapse. Our aim was to identify a microRNA (miRNA) signature associated with early relapse in advanced-stage EOC patients. miRNA expression was assessed by microarray profiling in training (n = 55) and test (n = 30) sets selected on the basis of time to relapse (TTR), followed by internal quantitative reverse transcriptase-PCR validation on a set of 45 consecutive cases unselected for clinical re ...[more]

PMID: 22246208

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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

MicroRNA alterations associated to clinical response in advanced stage ovarian cancer patients (test set)

Publications

Identification of a chrXq27.3 microRNA cluster associated with early relapse in advanced stage ovarian cancer patients.

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