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Prediction of the treatment response in ovarian cancer: a ctDNA approach
ABSTRACT: Ovarian cancer is the eighth most commonly occurring cancer in women. Clinically, the limitation of conventional screening and monitoring approaches inhibits high throughput analysis of the tumor molecular markers toward prediction of treatment response. Recently, analysis of liquid biopsi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574472/ https://www.ncbi.nlm.nih.gov/pubmed/33076944 http://dx.doi.org/10.1186/s13048-020-00729-1 |
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author | Sharbatoghli, Mina Vafaei, Somayeh Aboulkheyr Es, Hamidreza Asadi-Lari, Mohsen Totonchi, Mehdi Madjd, Zahra |
author_facet | Sharbatoghli, Mina Vafaei, Somayeh Aboulkheyr Es, Hamidreza Asadi-Lari, Mohsen Totonchi, Mehdi Madjd, Zahra |
author_sort | Sharbatoghli, Mina |
collection | PubMed |
description | ABSTRACT: Ovarian cancer is the eighth most commonly occurring cancer in women. Clinically, the limitation of conventional screening and monitoring approaches inhibits high throughput analysis of the tumor molecular markers toward prediction of treatment response. Recently, analysis of liquid biopsies including circulating tumor DNA (ctDNA) open new way toward cancer diagnosis and treatment in a personalized manner in various types of solid tumors. In the case of ovarian carcinoma, growing pre-clinical and clinical studies underscored promising application of ctDNA in diagnosis, prognosis, and prediction of treatment response. In this review, we accumulate and highlight recent molecular findings of ctDNA analysis and its associations with treatment response and patient outcome. Additionally, we discussed the potential application of ctDNA in the personalized treatment of ovarian carcinoma. GRAPHICAL ABSTRACT: ctDNA-monitoring usage during the ovarian cancer treatments procedures. [Image: see text] |
format | Online Article Text |
id | pubmed-7574472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75744722020-10-20 Prediction of the treatment response in ovarian cancer: a ctDNA approach Sharbatoghli, Mina Vafaei, Somayeh Aboulkheyr Es, Hamidreza Asadi-Lari, Mohsen Totonchi, Mehdi Madjd, Zahra J Ovarian Res Review ABSTRACT: Ovarian cancer is the eighth most commonly occurring cancer in women. Clinically, the limitation of conventional screening and monitoring approaches inhibits high throughput analysis of the tumor molecular markers toward prediction of treatment response. Recently, analysis of liquid biopsies including circulating tumor DNA (ctDNA) open new way toward cancer diagnosis and treatment in a personalized manner in various types of solid tumors. In the case of ovarian carcinoma, growing pre-clinical and clinical studies underscored promising application of ctDNA in diagnosis, prognosis, and prediction of treatment response. In this review, we accumulate and highlight recent molecular findings of ctDNA analysis and its associations with treatment response and patient outcome. Additionally, we discussed the potential application of ctDNA in the personalized treatment of ovarian carcinoma. GRAPHICAL ABSTRACT: ctDNA-monitoring usage during the ovarian cancer treatments procedures. [Image: see text] BioMed Central 2020-10-19 /pmc/articles/PMC7574472/ /pubmed/33076944 http://dx.doi.org/10.1186/s13048-020-00729-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Sharbatoghli, Mina Vafaei, Somayeh Aboulkheyr Es, Hamidreza Asadi-Lari, Mohsen Totonchi, Mehdi Madjd, Zahra Prediction of the treatment response in ovarian cancer: a ctDNA approach |
title | Prediction of the treatment response in ovarian cancer: a ctDNA approach |
title_full | Prediction of the treatment response in ovarian cancer: a ctDNA approach |
title_fullStr | Prediction of the treatment response in ovarian cancer: a ctDNA approach |
title_full_unstemmed | Prediction of the treatment response in ovarian cancer: a ctDNA approach |
title_short | Prediction of the treatment response in ovarian cancer: a ctDNA approach |
title_sort | prediction of the treatment response in ovarian cancer: a ctdna approach |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7574472/ https://www.ncbi.nlm.nih.gov/pubmed/33076944 http://dx.doi.org/10.1186/s13048-020-00729-1 |
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