Literature DB >> 22729278

Ovarian cancer molecular pathology.

Rémi Longuespée1, C Boyon, Annie Desmons, Denis Vinatier, Eric Leblanc, Isabelle Farré, Maxence Wisztorski, Kévin Ly, François D'Anjou, Robert Day, Isabelle Fournier, Michel Salzet.   

Abstract

Ovarian cancer (OVC) is the fourth leading cause of cancer mortality among women in Europe and the United States. Its early detection is difficult due to the lack of specificity of clinical symptoms. Unfortunately, late diagnosis is a major contributor to the poor survival rates for OVC, which can be attributed to the lack of specific sets of markers. Aside from patients sharing a strong family history of ovarian and breast cancer, including the BRCA1 and BRCA2 tumor suppressor genes mutations, the most used biomarker is the Cancer-antigen 125 (CA-125). CA-125 has a sensitivity of 80 % and a specificity of 97 % in epithelial cancer (stage III or IV). However, its sensitivity is 30 % in stage I cancer, as its increase is linked to several physiological phenomena and benign situations. CA-125 is particularly useful for at-risk population diagnosis and to assess response to treatment. It is clear that alone, CA-125 is inadequate as a biomarker for OVC diagnosis. There is an unmet need to identify additional biomarkers. Novel and more sensitive proteomic strategies such as MALDI mass spectrometry imaging studies are well suited to identify better markers for both diagnosis and prognosis. In the present review, we will focus on such proteomic strategies in regards to OVC signaling pathways, OVC development and escape from the immune response.

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Year:  2012        PMID: 22729278     DOI: 10.1007/s10555-012-9383-7

Source DB:  PubMed          Journal:  Cancer Metastasis Rev        ISSN: 0167-7659            Impact factor:   9.264


  23 in total

1.  Combined therapy with thrombospondin-1 type I repeats (3TSR) and chemotherapy induces regression and significantly improves survival in a preclinical model of advanced stage epithelial ovarian cancer.

Authors:  Samantha Russell; Mark Duquette; Joyce Liu; Ronny Drapkin; Jack Lawler; Jim Petrik
Journal:  FASEB J       Date:  2014-11-13       Impact factor: 5.191

2.  ADP-ribosylation factor-like 4C (ARL4C), a novel ovarian cancer metastasis suppressor, identified by integrated genomics.

Authors:  Dan Su; Dionyssios Katsaros; Shenhua Xu; Haiyan Xu; Yun Gao; Nicoletta Biglia; Jianguo Feng; Lisha Ying; Ping Zhang; Chiara Benedetto; Herbert Yu
Journal:  Am J Transl Res       Date:  2015-02-15       Impact factor: 4.060

Review 3.  Association between dietary intake and risk of ovarian cancer: a systematic review and meta-analysis.

Authors:  Alireza Khodavandi; Fahimeh Alizadeh; Ahmad Faizal Abdull Razis
Journal:  Eur J Nutr       Date:  2020-07-13       Impact factor: 5.614

4.  HFIP extraction followed by 2D CTAB/SDS-PAGE separation: a new methodology for protein identification from tissue sections after MALDI mass spectrometry profiling for personalized medicine research.

Authors:  Rémi Longuespée; Christophe Tastet; Annie Desmons; Olivier Kerdraon; Robert Day; Isabelle Fournier; Michel Salzet
Journal:  OMICS       Date:  2014-05-19

5.  Effects of probucol on cell proliferation in human ovarian cancer cells.

Authors:  Lea-Yea Chuang; Jinn-Yuh Guh; Yi-Ling Ye; Ying-Ho Lee; Jau-Shyang Huang
Journal:  Toxicol Res (Camb)       Date:  2015-12-10       Impact factor: 3.524

6.  FER mediated HGF-independent regulation of HGFR/MET activates RAC1-PAK1 pathway to potentiate metastasis in ovarian cancer.

Authors:  Gaofeng Fan
Journal:  Small GTPases       Date:  2018-01-24

Review 7.  Proteomics of ovarian cancer: functional insights and clinical applications.

Authors:  Mohamed A Elzek; Karin D Rodland
Journal:  Cancer Metastasis Rev       Date:  2015-03       Impact factor: 9.264

Review 8.  Ovarian cancer: in search of better marker systems based on DNA repair defects.

Authors:  Dominic Varga; Miriam Deniz; Lukas Schwentner; Lisa Wiesmüller
Journal:  Int J Mol Sci       Date:  2013-01-04       Impact factor: 5.923

Review 9.  Ovarian cancer: can proteomics give new insights for therapy and diagnosis?

Authors:  Angela Toss; Elisabetta De Matteis; Elena Rossi; Lara Della Casa; Anna Iannone; Massimo Federico; Laura Cortesi
Journal:  Int J Mol Sci       Date:  2013-04-15       Impact factor: 5.923

10.  Intratumoral interleukin-6 predicts ascites formation in patients with epithelial ovarian cancer: A potential tool for close monitoring.

Authors:  Samar Masoumi-Moghaddam; Afshin Amini; Ai-Qun Wei; Gregory Robertson; David L Morris
Journal:  J Ovarian Res       Date:  2015-08-19       Impact factor: 4.234

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