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Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers

Molecular stratification of high-grade serous ovarian carcinoma (HGSC) for targeted therapy is a pertinent approach in improving prognosis of this highly heterogeneous disease. Enabling the same necessitates identification of class-specific biomarkers and their robust detection in the clinic. We hav...

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Autores principales: Kamble, Swapnil C., Sen, Arijit, Dhake, Rahul D., Joshi, Aparna N., Midha, Divya, Bapat, Sharmila A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463261/
https://www.ncbi.nlm.nih.gov/pubmed/30857227
http://dx.doi.org/10.3390/jcm8030330
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author Kamble, Swapnil C.
Sen, Arijit
Dhake, Rahul D.
Joshi, Aparna N.
Midha, Divya
Bapat, Sharmila A.
author_facet Kamble, Swapnil C.
Sen, Arijit
Dhake, Rahul D.
Joshi, Aparna N.
Midha, Divya
Bapat, Sharmila A.
author_sort Kamble, Swapnil C.
collection PubMed
description Molecular stratification of high-grade serous ovarian carcinoma (HGSC) for targeted therapy is a pertinent approach in improving prognosis of this highly heterogeneous disease. Enabling the same necessitates identification of class-specific biomarkers and their robust detection in the clinic. We have earlier resolved three discrete molecular HGSC classes associated with distinct functional behavior based on their gene expression patterns, biological networks, and pathways. An important difference revealed was that Class 1 is likely to exhibit cooperative cell migration (CCM), Class 2 undergoes epithelial to mesenchymal transition (EMT), while Class 3 is possibly capable of both modes of migration. In the present study, we define clinical stratification of HGSC tumors through the establishment of standard operating procedures for immunohistochemistry and histochemistry based detection of a panel of biomarkers including TCF21, E-cadherin, PARP1, Slug, AnnexinA2, and hyaluronan. Further development and application of scoring guidelines based on expression of this panel in cell line-derived xenografts, commercial tissue microarrays, and patient tumors led to definitive stratification of samples. Biomarker expression was observed to vary significantly between primary and metastatic tumors suggesting class switching during disease progression. Another interesting feature in the study was of enhanced CCM-marker expression in tumors following disease progression and chemotherapy. These stratification principles and the new information thus generated is the first step towards class-specific personalized therapies in the disease.
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spelling pubmed-64632612019-04-18 Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers Kamble, Swapnil C. Sen, Arijit Dhake, Rahul D. Joshi, Aparna N. Midha, Divya Bapat, Sharmila A. J Clin Med Article Molecular stratification of high-grade serous ovarian carcinoma (HGSC) for targeted therapy is a pertinent approach in improving prognosis of this highly heterogeneous disease. Enabling the same necessitates identification of class-specific biomarkers and their robust detection in the clinic. We have earlier resolved three discrete molecular HGSC classes associated with distinct functional behavior based on their gene expression patterns, biological networks, and pathways. An important difference revealed was that Class 1 is likely to exhibit cooperative cell migration (CCM), Class 2 undergoes epithelial to mesenchymal transition (EMT), while Class 3 is possibly capable of both modes of migration. In the present study, we define clinical stratification of HGSC tumors through the establishment of standard operating procedures for immunohistochemistry and histochemistry based detection of a panel of biomarkers including TCF21, E-cadherin, PARP1, Slug, AnnexinA2, and hyaluronan. Further development and application of scoring guidelines based on expression of this panel in cell line-derived xenografts, commercial tissue microarrays, and patient tumors led to definitive stratification of samples. Biomarker expression was observed to vary significantly between primary and metastatic tumors suggesting class switching during disease progression. Another interesting feature in the study was of enhanced CCM-marker expression in tumors following disease progression and chemotherapy. These stratification principles and the new information thus generated is the first step towards class-specific personalized therapies in the disease. MDPI 2019-03-08 /pmc/articles/PMC6463261/ /pubmed/30857227 http://dx.doi.org/10.3390/jcm8030330 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kamble, Swapnil C.
Sen, Arijit
Dhake, Rahul D.
Joshi, Aparna N.
Midha, Divya
Bapat, Sharmila A.
Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers
title Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers
title_full Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers
title_fullStr Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers
title_full_unstemmed Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers
title_short Clinical Stratification of High-Grade Ovarian Serous Carcinoma Using a Panel of Six Biomarkers
title_sort clinical stratification of high-grade ovarian serous carcinoma using a panel of six biomarkers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463261/
https://www.ncbi.nlm.nih.gov/pubmed/30857227
http://dx.doi.org/10.3390/jcm8030330
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