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Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review
Gynecological cancers are one of the most lethal and deadliest cancers in the world. In India, the prevalence of ovarian cancer accounts for 2.5% to 3%. Despite the availability of improved treatment option along with improved technology, the survival rate of ovarian cancer in the early-stage and th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554434/ https://www.ncbi.nlm.nih.gov/pubmed/33088463 http://dx.doi.org/10.4103/ijpvm.IJPVM_75_19 |
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author | Yadav, Geetanjali Vashisht, Minakshi Yadav, Vipul Shyam, Radhey |
author_facet | Yadav, Geetanjali Vashisht, Minakshi Yadav, Vipul Shyam, Radhey |
author_sort | Yadav, Geetanjali |
collection | PubMed |
description | Gynecological cancers are one of the most lethal and deadliest cancers in the world. In India, the prevalence of ovarian cancer accounts for 2.5% to 3%. Despite the availability of improved treatment option along with improved technology, the survival rate of ovarian cancer in the early-stage and the advanced stage is poor. Therefore, due to the heterogeneity of ovarian cancer, to detect it at an early stage and to prevent further mortality turns out to be a big challenge. Researchers are still in the process to identify any single biomarker with good sensitivity and specificity. Various traditional and serum approaches to identify ovarian cancer have been successful in the early stages. The invention of molecular biomarkers such as the use of genomic profiling, DNA methylation, and other approaches have proven to be of higher sensitivity and specificity, which overall affects the prognosis of ovarian cancer. With the use of whole-genome analysis, the detection of possible location of critical tumor suppressor gene (TSGs) in the paired region of chromosomes has been identified, which are associated with BRCA1 and BRCA2 which further makes these novel molecular biomarkers as potential biomarkers. Moreover, studies are required to assess the combined use of traditional, molecular biomarkers that might be useful for enhanced sensitivity and specificity for early detection and prevention of ovarian cancer in early stages which will lead to reduced mortality and good prognosis |
format | Online Article Text |
id | pubmed-7554434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-75544342020-10-20 Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review Yadav, Geetanjali Vashisht, Minakshi Yadav, Vipul Shyam, Radhey Int J Prev Med Review Article Gynecological cancers are one of the most lethal and deadliest cancers in the world. In India, the prevalence of ovarian cancer accounts for 2.5% to 3%. Despite the availability of improved treatment option along with improved technology, the survival rate of ovarian cancer in the early-stage and the advanced stage is poor. Therefore, due to the heterogeneity of ovarian cancer, to detect it at an early stage and to prevent further mortality turns out to be a big challenge. Researchers are still in the process to identify any single biomarker with good sensitivity and specificity. Various traditional and serum approaches to identify ovarian cancer have been successful in the early stages. The invention of molecular biomarkers such as the use of genomic profiling, DNA methylation, and other approaches have proven to be of higher sensitivity and specificity, which overall affects the prognosis of ovarian cancer. With the use of whole-genome analysis, the detection of possible location of critical tumor suppressor gene (TSGs) in the paired region of chromosomes has been identified, which are associated with BRCA1 and BRCA2 which further makes these novel molecular biomarkers as potential biomarkers. Moreover, studies are required to assess the combined use of traditional, molecular biomarkers that might be useful for enhanced sensitivity and specificity for early detection and prevention of ovarian cancer in early stages which will lead to reduced mortality and good prognosis Wolters Kluwer - Medknow 2020-09-03 /pmc/articles/PMC7554434/ /pubmed/33088463 http://dx.doi.org/10.4103/ijpvm.IJPVM_75_19 Text en Copyright: © 2020 International Journal of Preventive Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Review Article Yadav, Geetanjali Vashisht, Minakshi Yadav, Vipul Shyam, Radhey Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review |
title | Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review |
title_full | Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review |
title_fullStr | Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review |
title_full_unstemmed | Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review |
title_short | Molecular Biomarkers for Early Detection and Prevention of Ovarian Cancer—A Gateway for Good Prognosis: A Narrative Review |
title_sort | molecular biomarkers for early detection and prevention of ovarian cancer—a gateway for good prognosis: a narrative review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554434/ https://www.ncbi.nlm.nih.gov/pubmed/33088463 http://dx.doi.org/10.4103/ijpvm.IJPVM_75_19 |
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