Gene Expression Profiles Predict Early Relapse in Ovarian Cancer after Platinum-Paclitaxel Chemotherapy
Purpose: Women with advanced epithelial ovarian cancer are routinely treated with platinum-paclitaxel chemotherapy following cytoreductive surgery, yet only ∼20% achieve long-term disease-free survival. We hypothesized that differences in gene expression before treatment could distinguish patients w...
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Published in | Clinical cancer research Vol. 11; no. 6; pp. 2149 - 2155 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Philadelphia, PA
American Association for Cancer Research
15.03.2005
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose: Women with advanced epithelial ovarian cancer are routinely treated with platinum-paclitaxel chemotherapy following cytoreductive
surgery, yet only ∼20% achieve long-term disease-free survival. We hypothesized that differences in gene expression before
treatment could distinguish patients with short versus long time to recurrence after administration of platinum-paclitaxel
combination chemotherapy.
Experimental Design: To test this hypothesis, gene expression profiling of 79 primary surgically resected tumors from women with advanced-stage,
high-grade epithelial ovarian cancer was done using cDNA microarrays containing 30,721 genes. Supervised learning algorithms
were applied in an effort to develop a binary classifier that could discriminate women at risk for early (≤21 months) versus
late (>21 months) relapse after initial chemotherapy.
Results: A 14-gene predictive model was developed using a set of training samples ( n = 51) and subsequently tested using an independent set of test samples ( n = 28). This model correctly predicted the outcome of 24 of the 28 test samples (86% accuracy) with 95% positive predictive
value for early relapse.
Conclusions: Predictive markers for early recurrence can be identified for platinum-paclitaxel combination chemotherapy in primary ovarian
carcinoma. The proposed 14-gene model requires further validation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1078-0432 1557-3265 |
DOI: | 10.1158/1078-0432.CCR-04-1673 |