✦ LIBER ✦

Expression profiling and individualisation of treatment for ovarian cancer

✍ Scribed by Roshan Agarwal; Stan B Kaye

Book ID: 116383447
Publisher: Elsevier Science
Year: 2006
Tongue: English
Weight: 91 KB
Volume: 6
Category: Article
ISSN: 1471-4892
DOI: 10.1016/j.coph.2006.02.007

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

General Keynote: Expression Profiling an

General Keynote: Expression Profiling and the Study of Ovarian Cancer

✍ Edison T. Liu 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 18 KB

Molecular characterization of ovarian ca

Molecular characterization of ovarian cancer by gene-expression profiling

✍ C. Gómez-Raposo; M. Mendiola; J. Barriuso; D. Hardisson; A. Redondo 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 150 KB

Genomic and proteomic technologies for i

Genomic and proteomic technologies for individualisation and improvement of cancer treatment

✍ Julia Wulfkuhle; Virginia Espina; Lance Liotta; Emanuel Petricoin 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 362 KB

Gene expression profiling and prediction

Gene expression profiling and prediction of clinical outcome in ovarian cancer

✍ Renaud Sabatier; Pascal Finetti; Nathalie Cervera; Daniel Birnbaum; François Ber 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 159 KB

Expression profiling correlates with tre

Expression profiling correlates with treatment response in women with advanced serous epithelial ovarian cancer

✍ Tanya R. Newton; Peter G. Parsons; Douglas J. Lincoln; Margaret C. Cummings; Dav 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 French ⚖ 615 KB

## Abstract The majority of epithelial ovarian carcinomas are of serous subtype, with most women presenting at an advanced stage. Approximately 70% respond to initial chemotherapy but eventually relapse. We aimed to find markers of treatment response that might be suitable for routine use, using th

Prediction of chemotherapeutic response

Prediction of chemotherapeutic response in ovarian cancer with DNA microarray expression profiling

✍ Zachariah E. Selvanayagam; Tak Hong Cheung; Nien Wei; Ragini Vittal; Keith Wing 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 189 KB