Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study

Objective: Mutational analysis of BCR::ABL1 kinase domain (KD) is a crucial component of clinical decision algorithms for chronic myeloid leukemia (CML) patients with failure or warning responses to tyrosine kinase inhibitor (TKI) therapy. This study aimed to detect BCR::ABL1 KD mutations in CML pat...

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Published in:BMC Research Notes
Main Author: Seman Z.A.; Ahid F.; Kamaluddin N.R.; Sahid E.N.M.; Esa E.; Said S.S.M.; Azman N.; Mat W.K.D.W.; Abdullah J.; Ali N.A.; Khalid M.K.N.M.; Yusoff Y.M.
Format: Article
Language:English
Published: BioMed Central Ltd 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191066262&doi=10.1186%2fs13104-024-06772-1&partnerID=40&md5=16f88fbdbffb24943a32696ab1a72323
id 2-s2.0-85191066262
spelling 2-s2.0-85191066262
Seman Z.A.; Ahid F.; Kamaluddin N.R.; Sahid E.N.M.; Esa E.; Said S.S.M.; Azman N.; Mat W.K.D.W.; Abdullah J.; Ali N.A.; Khalid M.K.N.M.; Yusoff Y.M.
Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
2024
BMC Research Notes
17
1
10.1186/s13104-024-06772-1
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191066262&doi=10.1186%2fs13104-024-06772-1&partnerID=40&md5=16f88fbdbffb24943a32696ab1a72323
Objective: Mutational analysis of BCR::ABL1 kinase domain (KD) is a crucial component of clinical decision algorithms for chronic myeloid leukemia (CML) patients with failure or warning responses to tyrosine kinase inhibitor (TKI) therapy. This study aimed to detect BCR::ABL1 KD mutations in CML patients with treatment resistance and assess the concordance between NGS (next generation sequencing) and Sanger sequencing (SS) in detecting these mutations. Results: In total, 12 different BCR::ABL1 KD mutations were identified by SS in 22.6% (19/84) of patients who were resistant to TKI treatment. Interestingly, NGS analysis of the same patient group revealed an additional four different BCR::ABL1 KD mutations in 27.4% (23/84) of patients. These mutations are M244V, A344V, E355A, and E459K with variant read frequency below 15%. No mutation was detected in 18 patients with optimal response to TKI therapy. Resistance to TKIs is associated with the acquisition of additional mutations in BCR::ABL1 KD after treatment with TKIs. Additionally, the use of NGS is advised for accurately determining the mutation status of BCR::ABL1 KD, particularly in cases where the allele frequency is low, and for identifying mutations across multiple exons simultaneously. Therefore, the utilization of NGS as a diagnostic platform for this test is very promising to guide therapeutic decision-making. © The Author(s) 2024.
BioMed Central Ltd
17560500
English
Article
All Open Access; Gold Open Access
author Seman Z.A.; Ahid F.; Kamaluddin N.R.; Sahid E.N.M.; Esa E.; Said S.S.M.; Azman N.; Mat W.K.D.W.; Abdullah J.; Ali N.A.; Khalid M.K.N.M.; Yusoff Y.M.
spellingShingle Seman Z.A.; Ahid F.; Kamaluddin N.R.; Sahid E.N.M.; Esa E.; Said S.S.M.; Azman N.; Mat W.K.D.W.; Abdullah J.; Ali N.A.; Khalid M.K.N.M.; Yusoff Y.M.
Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
author_facet Seman Z.A.; Ahid F.; Kamaluddin N.R.; Sahid E.N.M.; Esa E.; Said S.S.M.; Azman N.; Mat W.K.D.W.; Abdullah J.; Ali N.A.; Khalid M.K.N.M.; Yusoff Y.M.
author_sort Seman Z.A.; Ahid F.; Kamaluddin N.R.; Sahid E.N.M.; Esa E.; Said S.S.M.; Azman N.; Mat W.K.D.W.; Abdullah J.; Ali N.A.; Khalid M.K.N.M.; Yusoff Y.M.
title Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
title_short Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
title_full Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
title_fullStr Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
title_full_unstemmed Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
title_sort Mutation analysis of BCR-ABL1 kinase domain in chronic myeloid leukemia patients with tyrosine kinase inhibitors resistance: a Malaysian cohort study
publishDate 2024
container_title BMC Research Notes
container_volume 17
container_issue 1
doi_str_mv 10.1186/s13104-024-06772-1
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191066262&doi=10.1186%2fs13104-024-06772-1&partnerID=40&md5=16f88fbdbffb24943a32696ab1a72323
description Objective: Mutational analysis of BCR::ABL1 kinase domain (KD) is a crucial component of clinical decision algorithms for chronic myeloid leukemia (CML) patients with failure or warning responses to tyrosine kinase inhibitor (TKI) therapy. This study aimed to detect BCR::ABL1 KD mutations in CML patients with treatment resistance and assess the concordance between NGS (next generation sequencing) and Sanger sequencing (SS) in detecting these mutations. Results: In total, 12 different BCR::ABL1 KD mutations were identified by SS in 22.6% (19/84) of patients who were resistant to TKI treatment. Interestingly, NGS analysis of the same patient group revealed an additional four different BCR::ABL1 KD mutations in 27.4% (23/84) of patients. These mutations are M244V, A344V, E355A, and E459K with variant read frequency below 15%. No mutation was detected in 18 patients with optimal response to TKI therapy. Resistance to TKIs is associated with the acquisition of additional mutations in BCR::ABL1 KD after treatment with TKIs. Additionally, the use of NGS is advised for accurately determining the mutation status of BCR::ABL1 KD, particularly in cases where the allele frequency is low, and for identifying mutations across multiple exons simultaneously. Therefore, the utilization of NGS as a diagnostic platform for this test is very promising to guide therapeutic decision-making. © The Author(s) 2024.
publisher BioMed Central Ltd
issn 17560500
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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