Literature DB >> 20439111

Molecular characterization of ovarian cancer by gene-expression profiling.

C Gómez-Raposo1, M Mendiola, J Barriuso, D Hardisson, A Redondo.   

Abstract

Ovarian cancer is the second most common gynecologic malignancy, and represents the fifth most common cause of cancer death in women in the United States. The age at diagnosis, extent of disease, success of primary surgery, and the histopathological features of the tumor are important prognostic markers. Epithelial ovarian carcinomas are classified into four major categories: serous, mucinous, endometrioid, and clear cell. Each subtypes of ovarian carcinoma are known to have different clinical characteristics and biological behaviour and response to chemotherapy. Molecular studies have supported for the notion that the different histological types of ovarian cancer likely represent histopathologically, genetically, and biologically distinct diseases. Microarray-based profiling technologies have provided an opportunity to simultaneously examine the relationship between thousands of genes and clinical phenotypes. In this review, we will summarise the current gene-expression profiles that address the classification of ovarian cancer into molecular subtypes with different outcomes. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20439111     DOI: 10.1016/j.ygyno.2010.03.012

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  32 in total

1.  Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance.

Authors:  Jean-Pierre Gillet; Anna Maria Calcagno; Sudhir Varma; Miguel Marino; Lisa J Green; Meena I Vora; Chirayu Patel; Josiah N Orina; Tatiana A Eliseeva; Vineet Singal; Raji Padmanabhan; Ben Davidson; Ram Ganapathi; Anil K Sood; Bo R Rueda; Suresh V Ambudkar; Michael M Gottesman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-08       Impact factor: 11.205

2.  Epigenetic determinants of ovarian clear cell carcinoma biology.

Authors:  Ken Yamaguchi; Zhiqing Huang; Noriomi Matsumura; Masaki Mandai; Takako Okamoto; Tsukasa Baba; Ikuo Konishi; Andrew Berchuck; Susan K Murphy
Journal:  Int J Cancer       Date:  2014-01-14       Impact factor: 7.396

3.  Targeting SRC in mucinous ovarian carcinoma.

Authors:  Koji Matsuo; Masato Nishimura; Justin N Bottsford-Miller; Jie Huang; Kakajan Komurov; Guillermo N Armaiz-Pena; Mian M K Shahzad; Rebecca L Stone; Ju Won Roh; Angela M Sanguino; Chunhua Lu; Dwight D Im; Neil B Rosenshien; Atsuko Sakakibara; Tadayoshi Nagano; Masato Yamasaki; Takayuki Enomoto; Tadashi Kimura; Prahlad T Ram; Kathleen M Schmeler; Gary E Gallick; Kwong K Wong; Michael Frumovitz; Anil K Sood
Journal:  Clin Cancer Res       Date:  2011-07-07       Impact factor: 12.531

4.  The zinc finger gene ZIC2 has features of an oncogene and its overexpression correlates strongly with the clinical course of epithelial ovarian cancer.

Authors:  Sergio Marchini; Elizabeth Poynor; Richard R Barakat; Luca Clivio; Michela Cinquini; Robert Fruscio; Luca Porcu; Cecilia Bussani; Maurizio D'Incalci; Eugenio Erba; Michela Romano; Giorgio Cattoretti; Dionyssios Katsaros; Andrew Koff; Lucio Luzzatto
Journal:  Clin Cancer Res       Date:  2012-06-25       Impact factor: 12.531

Review 5.  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

6.  Dickkopf-1 is frequently overexpressed in ovarian serous carcinoma and involved in tumor invasion.

Authors:  Shizhuo Wang; Shulan Zhang
Journal:  Clin Exp Metastasis       Date:  2011-05-24       Impact factor: 5.150

7.  CYR61 overexpression associated with the development and poor prognosis of ovarian carcinoma.

Authors:  Huimin Shen; Muyan Cai; Shanshan Zhao; Huan Wang; Mengxiong Li; Shuzhong Yao; Nan Jiang
Journal:  Med Oncol       Date:  2014-07-22       Impact factor: 3.064

8.  Ovarian cancer risk factors by histologic subtypes in the NIH-AARP Diet and Health Study.

Authors:  Hannah P Yang; Britton Trabert; Megan A Murphy; Mark E Sherman; Joshua N Sampson; Louise A Brinton; Patricia Hartge; Albert Hollenbeck; Yikyung Park; Nicolas Wentzensen
Journal:  Int J Cancer       Date:  2011-11-10       Impact factor: 7.396

9.  Overexpression of RFC3 is correlated with ovarian tumor development and poor prognosis.

Authors:  Huimin Shen; Muyan Cai; Shanshan Zhao; Huan Wang; Mengxiong Li; Shuzhong Yao; Nan Jiang
Journal:  Tumour Biol       Date:  2014-07-17

Review 10.  MicroRNAome genome: a treasure for cancer diagnosis and therapy.

Authors:  Ioana Berindan-Neagoe; Paloma del C Monroig; Barbara Pasculli; George A Calin
Journal:  CA Cancer J Clin       Date:  2014-08-07       Impact factor: 508.702

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