Literature DB >> 16829123

Molecular predictors of response and outcome in ovarian cancer.

Silvana Canevari1, Manuela Gariboldi, James F Reid, Italia Bongarzone, Marco A Pierotti.   

Abstract

A major problem in clinical management of patients with epithelial ovarian cancer (EOC) is the largely unpredictable response to first-line treatment and the occurrence of relapse after complete initial response, associated with broad cross-resistance to even structurally dissimilar drugs. During tumor development and progression, multiple genic alterations take place that might contribute specifically to the treatment response and eventually impact on disease outcome. One area of intense research is the identification of molecular markers to accurately assess the prognosis of EOC patients and to define innovative therapeutic strategies. A large survey of recent published data indicates the need to revisit traditional molecular markers with respect to their contribution to the assessment of overall survival in selected populations. Furthermore, recent technological developments that enable simultaneous measurement of many parameters ("omic" approaches) hold the promise of identifying new molecular prognostic and predictive markers.

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Year:  2006        PMID: 16829123     DOI: 10.1016/j.critrevonc.2006.03.003

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  13 in total

1.  Expression of Sox2 in human ovarian epithelial carcinoma.

Authors:  Feng Ye; Yanli Li; Ying Hu; Caiyun Zhou; Yuting Hu; Huaizeng Chen
Journal:  J Cancer Res Clin Oncol       Date:  2010-03-27       Impact factor: 4.553

2.  MiRNA expression signature for potentially predicting the prognosis of ovarian serous carcinoma.

Authors:  Xiaotang Yu; Xinchen Zhang; Tie Bi; Yanfang Ding; Jinyao Zhao; Chang Wang; Tingting Jia; Dan Han; Gordon Guo; Bo Wang; Jiyong Jiang; Shiying Cui
Journal:  Tumour Biol       Date:  2013-07-09

3.  HE4 protein and SMRP: Potential novel biomarkers in ovarian cancer detection.

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Journal:  Oncol Lett       Date:  2012-06-13       Impact factor: 2.967

4.  Genetic polymorphisms and gene-dosage effect in ovarian cancer risk and response to paclitaxel/cisplatin chemotherapy.

Authors:  Karolina Tecza; Jolanta Pamula-Pilat; Zofia Kolosza; Natalia Radlak; Ewa Grzybowska
Journal:  J Exp Clin Cancer Res       Date:  2015-01-16

5.  CYP1B1 enhances the resistance of epithelial ovarian cancer cells to paclitaxel in vivo and in vitro.

Authors:  Zhuangyan Zhu; Yaqin Mu; Caixia Qi; Jian Wang; Guoping Xi; Juncheng Guo; Ruoran Mi; Fuxi Zhao
Journal:  Int J Mol Med       Date:  2014-12-16       Impact factor: 4.101

6.  WT1, p53 and p16 expression in the diagnosis of low- and high-grade serous ovarian carcinomas and their relation to prognosis.

Authors:  Luis Felipe Sallum; Liliana Andrade; Susana Ramalho; Amanda Canato Ferracini; Rodrigo de Andrade Natal; Angelo Borsarelli Carvalho Brito; Luis Otávio Sarian; Sophie Derchain
Journal:  Oncotarget       Date:  2018-02-19

7.  Mammaglobin B is an independent prognostic marker in epithelial ovarian cancer and its expression is associated with reduced risk of disease recurrence.

Authors:  Renata A Tassi; Stefano Calza; Antonella Ravaggi; Eliana Bignotti; Franco E Odicino; Germana Tognon; Carla Donzelli; Marcella Falchetti; Elisa Rossi; Paola Todeschini; Chiara Romani; Elisabetta Bandiera; Laura Zanotti; Sergio Pecorelli; Alessandro D Santin
Journal:  BMC Cancer       Date:  2009-07-27       Impact factor: 4.430

8.  MLH1 expression sensitises ovarian cancer cells to cell death mediated by XIAP inhibition.

Authors:  X Ding; A B Mohd; Z Huang; T Baba; M Q Bernardini; H K Lyerly; A Berchuck; S K Murphy; A B Buermeyer; G R Devi
Journal:  Br J Cancer       Date:  2009-07-21       Impact factor: 7.640

9.  The expression of BRCA1, P53, KAI1, and Nm23 in ovaries of BRCA1 mutation carriers after prophylactic adnexectomy.

Authors:  J Markowska; J Bar; R Mądry; I Słomska; M Mardas; J P Grabowski
Journal:  Arch Gynecol Obstet       Date:  2013-04-04       Impact factor: 2.344

10.  Predictive and prognostic protein biomarkers in epithelial ovarian cancer: recommendation for future studies.

Authors:  Cécile Le Page; David G Huntsman; Diane M Provencher; Anne-Marie Mes-Masson
Journal:  Cancers (Basel)       Date:  2010-05-26       Impact factor: 6.639

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