Evidence map›Paper›PMID 40588514›Full record

ArticleBritish journal of cancer2025

Innovative rapid screening for complex BCR-ABL1 kinase domain mutations in TKI-treated leukaemia patients.

Yanping Lan, Jun Deng, Pujing He, Wen Huang, Anqi Zhu, Xiaoxia Guo, Lv Xiong, Qiuying Huang, Yu Hu, Qingge Li

Abstract read
In one paragraph

Article in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yanping Lan *Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.ORCID http://orcid.org/0000-0002-1389-5574
Jun Deng *Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Pujing HeEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Wen HuangEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Anqi ZhuEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Xiaoxia GuoEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Lv XiongInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Qiuying HuangEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China. hqying@xmu.edu.cn.
Yu HuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. dr_huyu@126.com.ORCID http://orcid.org/0000-0002-2815-4568
Qingge LiEngineering Research Centre of Molecular Diagnostics of the Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China. qgli@xmu.edu.cn.ORCID http://orcid.org/0000-0002-3431-138X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82271729
6 · The paper itself

Abstract

backgroundScreening for BCR-ABL1 kinase domain (KD) mutations is routinely implemented in cases of treatment failure for chronic myeloid leukaemia and Philadelphia-positive acute lymphoblastic leukaemia. However, timely deciphering their clonal relationship via mutation profiling that requires identification of mutation types, quantification of mutant abundance, and differentiation between compound and polyclonal mutations (CMs and PMs), remains difficult during therapy.

methodsHerein, we established a protocol that identified mutation types and further distinguished clonal relationships by combining mini-sequencing of MeltArray with allele segregation of droplet digital PCR (ddPCR).

resultsThe analysis showed that 78 samples (18.93%) were mutant, of which 50 (64.1%) harboured single mutations, and 28 (35.9%) contained multiple mutations, including double-, triple-, quadruple- and hepta-mutants. These results agreed with NGS, except one sample with F317L and L324Q mutations, where L324Q was beyond MeltArray's scope. Among cases containing multiple mutations, 85.71% were PMs, 10.71% were CMs, and 3.57% were mixed CMs and PMs. Retrospective analysis revealed that clonal relationships in BCR-ABL1 KD mutations were highly dynamic during therapy.

conclusionsThe MeltArray-ddPCR protocol enables dynamic profiling of BCR-ABL1 KD mutations to determine clonal status, improving prediction of drug susceptibility and leukaemia outcomes. In this study, we performed a retrospective analysis of 539 samples from 365 leukaemia patients. We developed a comprehensive BCR-ABL1 kinase domain mutation screening protocol that includes pre-amplification, mutation screening, and differentiation between compound mutations (CMs) and polyclonal mutations (PMs). By integrating MeltArray and ddPCR technologies, this protocol enables dynamic monitoring of changes in mutation levels and clonal evolution. It also offers companion diagnostics based on mutational profiles to guide precision therapy for leukaemia patients.

Indexed as

Fusion Proteins, bcr-ablLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMutationPrecursor Cell Lymphoblastic Leukemia-LymphomaProtein Kinase InhibitorsAdultAgedDNA Mutational AnalysisDrug Resistance, NeoplasmFemaleHumansMaleMiddle AgedBCR-ABL1 fusion protein, humanFusion Proteins, bcr-ablProtein Kinase Inhibitors

Identifiers

PMID40588514
PMCPMC12405524

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.