Literature DB >> 15788660

Gene expression profiles predict early relapse in ovarian cancer after platinum-paclitaxel chemotherapy.

Lynn C Hartmann1, Karen H Lu, Gerald P Linette, William A Cliby, Kimberly R Kalli, David Gershenson, Robert C Bast, James Stec, Natalia Iartchouk, David I Smith, Jeffrey S Ross, Sebastian Hoersch, Viji Shridhar, James Lillie, Scott H Kaufmann, Edwin A Clark, Andrew I Damokosh.   

Abstract

PURPOSE: Women with advanced epithelial ovarian cancer are routinely treated with platinum-paclitaxel chemotherapy following cytoreductive surgery, yet only approximately 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 (< or =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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Year:  2005        PMID: 15788660     DOI: 10.1158/1078-0432.CCR-04-1673

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  48 in total

Review 1.  Emerging roles of Kruppel-like factor 6 and Kruppel-like factor 6 splice variant 1 in ovarian cancer progression and treatment.

Authors:  Analisa DiFeo; Goutham Narla; John A Martignetti
Journal:  Mt Sinai J Med       Date:  2009-12

Review 2.  The role of biomarkers in the management of epithelial ovarian cancer.

Authors:  Wei-Lei Yang; Zhen Lu; Robert C Bast
Journal:  Expert Rev Mol Diagn       Date:  2017-05-15       Impact factor: 5.225

3.  Genome-wide Analysis of Common Copy Number Variation and Epithelial Ovarian Cancer Risk.

Authors:  Brett M Reid; Jennifer B Permuth; Y Ann Chen; Brooke L Fridley; Edwin S Iversen; Zhihua Chen; Heather Jim; Robert A Vierkant; Julie M Cunningham; Jill S Barnholtz-Sloan; Steven Narod; Harvey Risch; Joellen M Schildkraut; Ellen L Goode; Alvaro N Monteiro; Thomas A Sellers
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-04-04       Impact factor: 4.254

Review 4.  Gynecologic biopsy for molecular profiling: a review for the interventional radiologist.

Authors:  Bradley R Corr; Kian Behbakht; Monique A Spillman
Journal:  Semin Intervent Radiol       Date:  2013-12       Impact factor: 1.513

5.  Prognostically relevant gene signatures of high-grade serous ovarian carcinoma.

Authors:  Roel G W Verhaak; Pablo Tamayo; Ji-Yeon Yang; Diana Hubbard; Hailei Zhang; Chad J Creighton; Sian Fereday; Michael Lawrence; Scott L Carter; Craig H Mermel; Aleksandar D Kostic; Dariush Etemadmoghadam; Gordon Saksena; Kristian Cibulskis; Sekhar Duraisamy; Keren Levanon; Carrie Sougnez; Aviad Tsherniak; Sebastian Gomez; Robert Onofrio; Stacey Gabriel; Lynda Chin; Nianxiang Zhang; Paul T Spellman; Yiqun Zhang; Rehan Akbani; Katherine A Hoadley; Ari Kahn; Martin Köbel; David Huntsman; Robert A Soslow; Anna Defazio; Michael J Birrer; Joe W Gray; John N Weinstein; David D Bowtell; Ronny Drapkin; Jill P Mesirov; Gad Getz; Douglas A Levine; Matthew Meyerson
Journal:  J Clin Invest       Date:  2012-12-21       Impact factor: 14.808

6.  Risk of ovarian cancer and inherited variants in relapse-associated genes.

Authors:  Abraham Peedicayil; Robert A Vierkant; Lynn C Hartmann; Brooke L Fridley; Zachary S Fredericksen; Kristin L White; Elaine A Elliott; Catherine M Phelan; Ya-Yu Tsai; Andrew Berchuck; Edwin S Iversen; Fergus J Couch; Prema Peethamabaran; Melissa C Larson; Kimberly R Kalli; Matthew L Kosel; Vijayalakshmi Shridhar; David N Rider; Mark Liebow; Julie M Cunningham; Joellen M Schildkraut; Thomas A Sellers; Ellen L Goode
Journal:  PLoS One       Date:  2010-01-27       Impact factor: 3.240

7.  Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.

Authors:  Kosuke Yoshihara; Atsushi Tajima; Tetsuro Yahata; Shoji Kodama; Hiroyuki Fujiwara; Mitsuaki Suzuki; Yoshitaka Onishi; Masayuki Hatae; Kazunobu Sueyoshi; Hisaya Fujiwara; Yoshiki Kudo; Kohei Kotera; Hideaki Masuzaki; Hironori Tashiro; Hidetaka Katabuchi; Ituro Inoue; Kenichi Tanaka
Journal:  PLoS One       Date:  2010-03-12       Impact factor: 3.240

8.  Reversal of Chemoresistance in Ovarian Cancer by Co-Delivery of a P-Glycoprotein Inhibitor and Paclitaxel in a Liposomal Platform.

Authors:  Yilin Zhang; Shravan Kumar Sriraman; Hilary A Kenny; Ed Luther; Vladimir Torchilin; Ernst Lengyel
Journal:  Mol Cancer Ther       Date:  2016-07-27       Impact factor: 6.261

Review 9.  The rise of genomic profiling in ovarian cancer.

Authors:  Rebecca A Previs; Anil K Sood; Gordon B Mills; Shannon N Westin
Journal:  Expert Rev Mol Diagn       Date:  2016-12       Impact factor: 5.225

10.  Potential predictive markers of chemotherapy resistance in stage III ovarian serous carcinomas.

Authors:  Lovisa Osterberg; Kristina Levan; Karolina Partheen; Ulla Delle; Björn Olsson; Karin Sundfeldt; György Horvath
Journal:  BMC Cancer       Date:  2009-10-18       Impact factor: 4.430

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