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Early Detection Biomarkers for Ovarian Cancer

Despite the widespread use of conventional and contemporary methods to detect ovarian cancer development, ovarian cancer remains a common and commonly fatal gynecological malignancy. The identification and validation of early detection biomarkers highly specific to ovarian cancer, which would permit...

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Detalles Bibliográficos
Autores principales: Sarojini, Sreeja, Tamir, Ayala, Lim, Heejin, Li, Shihong, Zhang, Shifang, Goy, Andre, Pecora, Andrew, Suh, K. Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540796/
https://www.ncbi.nlm.nih.gov/pubmed/23319948
http://dx.doi.org/10.1155/2012/709049
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author Sarojini, Sreeja
Tamir, Ayala
Lim, Heejin
Li, Shihong
Zhang, Shifang
Goy, Andre
Pecora, Andrew
Suh, K. Stephen
author_facet Sarojini, Sreeja
Tamir, Ayala
Lim, Heejin
Li, Shihong
Zhang, Shifang
Goy, Andre
Pecora, Andrew
Suh, K. Stephen
author_sort Sarojini, Sreeja
collection PubMed
description Despite the widespread use of conventional and contemporary methods to detect ovarian cancer development, ovarian cancer remains a common and commonly fatal gynecological malignancy. The identification and validation of early detection biomarkers highly specific to ovarian cancer, which would permit development of minimally invasive screening methods for detecting early onset of the disease, are urgently needed. Current practices for early detection of ovarian cancer include transvaginal ultrasonography, biomarker analysis, or a combination of both. In this paper we review recent research on novel and robust biomarkers for early detection of ovarian cancer and provide specific details on their contributions to tumorigenesis. Promising biomarkers for early detection of ovarian cancer include KLK6/7, GSTT1, PRSS8, FOLR1, ALDH1, and miRNAs.
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spelling pubmed-35407962013-01-14 Early Detection Biomarkers for Ovarian Cancer Sarojini, Sreeja Tamir, Ayala Lim, Heejin Li, Shihong Zhang, Shifang Goy, Andre Pecora, Andrew Suh, K. Stephen J Oncol Review Article Despite the widespread use of conventional and contemporary methods to detect ovarian cancer development, ovarian cancer remains a common and commonly fatal gynecological malignancy. The identification and validation of early detection biomarkers highly specific to ovarian cancer, which would permit development of minimally invasive screening methods for detecting early onset of the disease, are urgently needed. Current practices for early detection of ovarian cancer include transvaginal ultrasonography, biomarker analysis, or a combination of both. In this paper we review recent research on novel and robust biomarkers for early detection of ovarian cancer and provide specific details on their contributions to tumorigenesis. Promising biomarkers for early detection of ovarian cancer include KLK6/7, GSTT1, PRSS8, FOLR1, ALDH1, and miRNAs. Hindawi Publishing Corporation 2012 2012-12-23 /pmc/articles/PMC3540796/ /pubmed/23319948 http://dx.doi.org/10.1155/2012/709049 Text en Copyright © 2012 Sreeja Sarojini et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Sarojini, Sreeja
Tamir, Ayala
Lim, Heejin
Li, Shihong
Zhang, Shifang
Goy, Andre
Pecora, Andrew
Suh, K. Stephen
Early Detection Biomarkers for Ovarian Cancer
title Early Detection Biomarkers for Ovarian Cancer
title_full Early Detection Biomarkers for Ovarian Cancer
title_fullStr Early Detection Biomarkers for Ovarian Cancer
title_full_unstemmed Early Detection Biomarkers for Ovarian Cancer
title_short Early Detection Biomarkers for Ovarian Cancer
title_sort early detection biomarkers for ovarian cancer
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540796/
https://www.ncbi.nlm.nih.gov/pubmed/23319948
http://dx.doi.org/10.1155/2012/709049
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