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Prediction of the Treatment Response in Ovarian Cancer: A Ctdna Approach Publisher Pubmed



Sharbatoghli M1, 2 ; Vafaei S1, 3 ; Aboulkheyr Es H4 ; Asadilari M1, 5 ; Totonchi M2, 6 ; Madjd Z1, 3
Authors
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Authors Affiliations
  1. 1. Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
  3. 3. Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
  4. 4. School of Biomedical Engineering, University of Technology Sydney, Sydney, 2007, Australia
  5. 5. Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran

Source: Journal of Ovarian Research Published:2020


Abstract

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.[Figure not available: see fulltext.]. © 2020, The Author(s).
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