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In chronic myeloid leukemia patients on second-line tyrosine kinase inhibitor therapy, deep sequencing of BCR-ABL1 at the time of warning may allow sensitive detection of emerging drug-resistant…

Overview of attention for article published in BMC Cancer, August 2016
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Title
In chronic myeloid leukemia patients on second-line tyrosine kinase inhibitor therapy, deep sequencing of BCR-ABL1 at the time of warning may allow sensitive detection of emerging drug-resistant mutants
Published in
BMC Cancer, August 2016
DOI 10.1186/s12885-016-2635-0
Pubmed ID
Authors

Simona Soverini, Caterina De Benedittis, Fausto Castagnetti, Gabriele Gugliotta, Manuela Mancini, Luana Bavaro, Katerina Machova Polakova, Jana Linhartova, Alessandra Iurlo, Domenico Russo, Fabrizio Pane, Giuseppe Saglio, Gianantonio Rosti, Michele Cavo, Michele Baccarani, Giovanni Martinelli

Abstract

Imatinib-resistant chronic myeloid leukemia (CML) patients receiving second-line tyrosine kinase inhibitor (TKI) therapy with dasatinib or nilotinib have a higher risk of disease relapse and progression and not infrequently BCR-ABL1 kinase domain (KD) mutations are implicated in therapeutic failure. In this setting, earlier detection of emerging BCR-ABL1 KD mutations would offer greater chances of efficacy for subsequent salvage therapy and limit the biological consequences of full BCR-ABL1 kinase reactivation. Taking advantage of an already set up and validated next-generation deep amplicon sequencing (DS) assay, we aimed to assess whether DS may allow a larger window of detection of emerging BCR-ABL1 KD mutants predicting for an impending relapse. a total of 125 longitudinal samples from 51 CML patients who had acquired dasatinib- or nilotinib-resistant mutations during second-line therapy were analyzed by DS from the time of failure and mutation detection by conventional sequencing backwards. BCR-ABL1/ABL1%(IS) transcript levels were used to define whether the patient had 'optimal response', 'warning' or 'failure' at the time of first mutation detection by DS. DS was able to backtrack dasatinib- or nilotinib-resistant mutations to the previous sample(s) in 23/51 (45 %) pts. Median mutation burden at the time of first detection by DS was 5.5 % (range, 1.5-17.5 %); median interval between detection by DS and detection by conventional sequencing was 3 months (range, 1-9 months). In 5 cases, the mutations were detectable at baseline. In the remaining cases, response level at the time mutations were first detected by DS could be defined as 'Warning' (according to the 2013 ELN definitions of response to 2nd-line therapy) in 13 cases, as 'Optimal response' in one case, as 'Failure' in 4 cases. No dasatinib- or nilotinib-resistant mutations were detected by DS in 15 randomly selected patients with 'warning' at various timepoints, that later turned into optimal responders with no treatment changes. DS enables a larger window of detection of emerging BCR-ABL1 KD mutations predicting for an impending relapse. A 'Warning' response may represent a rational trigger, besides 'Failure', for DS-based mutation screening in CML patients undergoing second-line TKI therapy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Bachelor 7 15%
Student > Ph. D. Student 5 10%
Student > Postgraduate 4 8%
Student > Doctoral Student 3 6%
Other 11 23%
Unknown 10 21%
Readers by discipline Count As %
Medicine and Dentistry 16 33%
Biochemistry, Genetics and Molecular Biology 9 19%
Agricultural and Biological Sciences 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Unspecified 2 4%
Other 3 6%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2016.
All research outputs
#19,896,794
of 24,452,594 outputs
Outputs from BMC Cancer
#5,751
of 8,680 outputs
Outputs of similar age
#293,682
of 374,929 outputs
Outputs of similar age from BMC Cancer
#162
of 263 outputs
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