Cargando…

Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies

Epithelial ovarian cancer is the most lethal gynecological malignancy. Due to its lack of symptoms, this disease is diagnosed at an advanced stage when the cancer has already spread to secondary sites. While initial rates of response to first treatment is >80%, the overall survival rate of patien...

Descripción completa

Detalles Bibliográficos
Autores principales: Le Page, Cécile, Huntsman, David G., Provencher, Diane M., Mes-Masson, Anne-Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835111/
https://www.ncbi.nlm.nih.gov/pubmed/24281100
http://dx.doi.org/10.3390/cancers2020913
_version_ 1782292102739132416
author Le Page, Cécile
Huntsman, David G.
Provencher, Diane M.
Mes-Masson, Anne-Marie
author_facet Le Page, Cécile
Huntsman, David G.
Provencher, Diane M.
Mes-Masson, Anne-Marie
author_sort Le Page, Cécile
collection PubMed
description Epithelial ovarian cancer is the most lethal gynecological malignancy. Due to its lack of symptoms, this disease is diagnosed at an advanced stage when the cancer has already spread to secondary sites. While initial rates of response to first treatment is >80%, the overall survival rate of patients is extremely low, mainly due to development of drug resistance. To date, there are no reliable clinical factors that can properly stratify patients for suitable chemotherapy strategies. Clinical parameters such as disease stage, tumor grade and residual disease, although helpful in the management of patients after their initial surgery to establish the first line of treatment, are not efficient enough. Accordingly, reliable markers that are independent and complementary to clinical parameters are needed for a better management of these patients. For several years, efforts to identify prognostic factors have focused on molecular markers, with a large number having been investigated. This review aims to present a summary of the recent advances in the identification of molecular biomarkers in ovarian cancer patient tissues, as well as an overview of the need and importance of molecular markers for personalized medicine in ovarian cancer.
format Online
Article
Text
id pubmed-3835111
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-38351112013-11-21 Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies Le Page, Cécile Huntsman, David G. Provencher, Diane M. Mes-Masson, Anne-Marie Cancers (Basel) Review Epithelial ovarian cancer is the most lethal gynecological malignancy. Due to its lack of symptoms, this disease is diagnosed at an advanced stage when the cancer has already spread to secondary sites. While initial rates of response to first treatment is >80%, the overall survival rate of patients is extremely low, mainly due to development of drug resistance. To date, there are no reliable clinical factors that can properly stratify patients for suitable chemotherapy strategies. Clinical parameters such as disease stage, tumor grade and residual disease, although helpful in the management of patients after their initial surgery to establish the first line of treatment, are not efficient enough. Accordingly, reliable markers that are independent and complementary to clinical parameters are needed for a better management of these patients. For several years, efforts to identify prognostic factors have focused on molecular markers, with a large number having been investigated. This review aims to present a summary of the recent advances in the identification of molecular biomarkers in ovarian cancer patient tissues, as well as an overview of the need and importance of molecular markers for personalized medicine in ovarian cancer. MDPI 2010-05-26 /pmc/articles/PMC3835111/ /pubmed/24281100 http://dx.doi.org/10.3390/cancers2020913 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Le Page, Cécile
Huntsman, David G.
Provencher, Diane M.
Mes-Masson, Anne-Marie
Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies
title Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies
title_full Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies
title_fullStr Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies
title_full_unstemmed Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies
title_short Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies
title_sort predictive and prognostic protein biomarkers in epithelial ovarian cancer: recommendation for future studies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835111/
https://www.ncbi.nlm.nih.gov/pubmed/24281100
http://dx.doi.org/10.3390/cancers2020913
work_keys_str_mv AT lepagececile predictiveandprognosticproteinbiomarkersinepithelialovariancancerrecommendationforfuturestudies
AT huntsmandavidg predictiveandprognosticproteinbiomarkersinepithelialovariancancerrecommendationforfuturestudies
AT provencherdianem predictiveandprognosticproteinbiomarkersinepithelialovariancancerrecommendationforfuturestudies
AT mesmassonannemarie predictiveandprognosticproteinbiomarkersinepithelialovariancancerrecommendationforfuturestudies