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Mucins in ovarian cancer diagnosis and therapy

Ovarian cancer is the most lethal gynecologic malignancy and the five-year survival rate is only 35% after diagnosis. Epithelial ovarian cancer is a highly metastatic disease characterized by widespread peritoneal dissemination and ascites. The death incidences from ovarian cancer could be significa...

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Detalles Bibliográficos
Autores principales: Chauhan, Subhash C, Kumar, Deepak, Jaggi, Meena
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2804676/
https://www.ncbi.nlm.nih.gov/pubmed/20034397
http://dx.doi.org/10.1186/1757-2215-2-21
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author Chauhan, Subhash C
Kumar, Deepak
Jaggi, Meena
author_facet Chauhan, Subhash C
Kumar, Deepak
Jaggi, Meena
author_sort Chauhan, Subhash C
collection PubMed
description Ovarian cancer is the most lethal gynecologic malignancy and the five-year survival rate is only 35% after diagnosis. Epithelial ovarian cancer is a highly metastatic disease characterized by widespread peritoneal dissemination and ascites. The death incidences from ovarian cancer could be significantly lowered by developing new methods for the early diagnosis and treatment of this fatal disease. Several potential markers have been identified recently. However, mucins are the most promising markers for ovarian cancer diagnosis. Mucins are large extracellular, heavily glycosylated proteins and their aberrant expression has been implicated in the pathogenesis of a variety of cancers, including ovarian cancer. This review will summarize known facts about the pathological and molecular characteristics of ovarian cancer, the current status of ovarian cancer markers, as well as general information about mucins, the putative role of mucins in the progression of ovarian cancer and their potential use for the early diagnosis and treatment of this disease.
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spelling pubmed-28046762010-01-12 Mucins in ovarian cancer diagnosis and therapy Chauhan, Subhash C Kumar, Deepak Jaggi, Meena J Ovarian Res Review Ovarian cancer is the most lethal gynecologic malignancy and the five-year survival rate is only 35% after diagnosis. Epithelial ovarian cancer is a highly metastatic disease characterized by widespread peritoneal dissemination and ascites. The death incidences from ovarian cancer could be significantly lowered by developing new methods for the early diagnosis and treatment of this fatal disease. Several potential markers have been identified recently. However, mucins are the most promising markers for ovarian cancer diagnosis. Mucins are large extracellular, heavily glycosylated proteins and their aberrant expression has been implicated in the pathogenesis of a variety of cancers, including ovarian cancer. This review will summarize known facts about the pathological and molecular characteristics of ovarian cancer, the current status of ovarian cancer markers, as well as general information about mucins, the putative role of mucins in the progression of ovarian cancer and their potential use for the early diagnosis and treatment of this disease. BioMed Central 2009-12-24 /pmc/articles/PMC2804676/ /pubmed/20034397 http://dx.doi.org/10.1186/1757-2215-2-21 Text en Copyright ©2009 Chauhan et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Chauhan, Subhash C
Kumar, Deepak
Jaggi, Meena
Mucins in ovarian cancer diagnosis and therapy
title Mucins in ovarian cancer diagnosis and therapy
title_full Mucins in ovarian cancer diagnosis and therapy
title_fullStr Mucins in ovarian cancer diagnosis and therapy
title_full_unstemmed Mucins in ovarian cancer diagnosis and therapy
title_short Mucins in ovarian cancer diagnosis and therapy
title_sort mucins in ovarian cancer diagnosis and therapy
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2804676/
https://www.ncbi.nlm.nih.gov/pubmed/20034397
http://dx.doi.org/10.1186/1757-2215-2-21
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