Literature DB >> 26759060

Whole-exome sequencing reveals potential molecular predictors of relapse after discontinuation of the targeted therapy in chronic myeloid leukemia patients.

Svetlana A Smirnikhina1, Alexander V Lavrov1,2, Ekaterina Yu Chelysheva3, Elmira P Adilgereeva1, Oleg A Shukhov3, Anna Turkina3, Sergey I Kutsev1,2.   

Abstract

Chronic myeloid leukemia (CML) is a myeloproliferative disease well treated by tyrosine kinase inhibitors (TKIs). The aim was to identify genes with a predictive value for relapse-free survival after TKI cessation in CML patients. We performed whole-exome sequencing of DNA from six CML patients in long-lasting deep molecular remission. Patients were divided into two groups with relapse (n = 3) and without relapse (n = 3) after TKI discontinuation. We found variants in genes CYP1B1, ALPK2, and IRF1 in group of patients with relapse and one variant in gene PARP9 in group of patients without relapse. We verified prognostic value of the found markers in a small group of patients with TKI discontinuation and demonstrated their high sensitivity (77%), specificity (86%), positive (85%), and negative (79%) predictive values. Thus we revealed genetic variants, which are potential markers of outcome prediction in CML patients after TKI discontinuation.

Entities:  

Keywords:  Chronic myeloid leukemia; TKI discontinuation; exome; molecular predictors; relapse

Mesh:

Substances:

Year:  2016        PMID: 26759060     DOI: 10.3109/10428194.2015.1132420

Source DB:  PubMed          Journal:  Leuk Lymphoma        ISSN: 1026-8022


  8 in total

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Review 3.  Predictive indicators of successful tyrosine kinase inhibitor discontinuation in patients with chronic myeloid leukemia.

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4.  Genetic Variability in Molecular Pathways Implicated in Alzheimer's Disease: A Comprehensive Review.

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Review 6.  Discontinuation of Tyrosine Kinase Inhibitors in Patients with Chronic Myeloid Leukemia: a Review of the Biological Factors Associated with Treatment-Free Remission.

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7.  Copy number variation analysis in cytochromes and glutathione S-transferases may predict efficacy of tyrosine kinase inhibitors in chronic myeloid leukemia.

Authors:  Alexander V Lavrov; Oksana A Ustaeva; Elmira P Adilgereeva; Svetlana A Smirnikhina; Ekaterina Y Chelysheva; Oleg A Shukhov; Yuriy V Shatokhin; Sergey V Mordanov; Anna G Turkina; Sergey I Kutsev
Journal:  PLoS One       Date:  2017-09-13       Impact factor: 3.240

8.  P.F508del editing in cells from cystic fibrosis patients.

Authors:  Svetlana A Smirnikhina; Ekaterina V Kondrateva; Elmira P Adilgereeva; Arina A Anuchina; Milyausha I Zaynitdinova; Yana S Slesarenko; Angelina S Ershova; Kirill D Ustinov; Matvei I Yasinovsky; Elena L Amelina; Ekaterina S Voronina; Valentina D Yakushina; Vyacheslav Yu Tabakov; Alexander V Lavrov
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  8 in total

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