Jordi Martínez-Serra, Aser Alonso-Carballo, Ángel Horrillo, Paula Gómez, Oliver Vögler, Antonio Gutiérrez, Antonia Sampol
{"title":"使用MinION测序对AML中FLT3-ITD进行多克隆分析:一种定制的聚类方法来增强亚克隆检测。","authors":"Jordi Martínez-Serra, Aser Alonso-Carballo, Ángel Horrillo, Paula Gómez, Oliver Vögler, Antonio Gutiérrez, Antonia Sampol","doi":"10.2147/OTT.S526628","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Internal tandem duplications (FLT3-ITDs) in the FLT3 gene constitute a key driver mutation in acute myeloid leukemia (AML), strongly associated with poor prognosis and therapeutic resistance. Although general-purpose structural variant callers such as Sniffles have been used to detect FLT3-ITDs, their limitations in resolving clonal diversity and low-frequency variants can lead to underrepresentation of minor clones. These shortcomings highlight the need for a dedicated bioinformatics pipeline.</p><p><strong>Materials and methods: </strong>We developed a custom clustering-based pipeline to overcome the constraints of generic SV callers, leveraging Oxford Nanopore's MinION for sequencing. Our method focuses on FLT3-ITDs by grouping near-identical insertions into biologically meaningful subclones, thereby allowing accurate variant detection of even low-frequency events. The pipeline was benchmarked against capillary electrophoresis (CE) and Sniffles at various thresholds (including 10%, 20%, and 50% allele-frequency cutoffs), with results validated via IGV inspection and cross-mapping.</p><p><strong>Results: </strong>The pipeline successfully detected FLT3-ITDs across all tested samples, including low-frequency variants and diverse subclones that Sniffles overlooked. Analyses uncovered complex multiclonal architectures composed of dominant clones (~20-25% of reads) plus multiple minor subclones differing in length, sequence, and breakpoint. Crucially, our approach identified duplications as short as 15 bp-events often dismissed by conventional SV callers. Comparative analyses showed that Sniffles failed to call several biologically validated ITDs detected by our custom pipeline.</p><p><strong>Conclusion: </strong>Third-generation sequencing combined with a tailored clustering strategy enhances the detection of FLT3-ITDs and clonal diversity in AML compared to generic variant callers. This method provides critical insights into subclonal populations driving relapse and therapeutic resistance-particularly in relapsed/refractory AML-underscoring the importance of specialized pipelines for precision medicine in leukemia.</p>","PeriodicalId":19534,"journal":{"name":"OncoTargets and therapy","volume":"18 ","pages":"811-820"},"PeriodicalIF":2.8000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12288229/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multiclonal Profiling of FLT3-ITD in AML Using MinION Sequencing: A Tailored Clustering Approach to Enhance Subclonal Detection.\",\"authors\":\"Jordi Martínez-Serra, Aser Alonso-Carballo, Ángel Horrillo, Paula Gómez, Oliver Vögler, Antonio Gutiérrez, Antonia Sampol\",\"doi\":\"10.2147/OTT.S526628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Internal tandem duplications (FLT3-ITDs) in the FLT3 gene constitute a key driver mutation in acute myeloid leukemia (AML), strongly associated with poor prognosis and therapeutic resistance. Although general-purpose structural variant callers such as Sniffles have been used to detect FLT3-ITDs, their limitations in resolving clonal diversity and low-frequency variants can lead to underrepresentation of minor clones. These shortcomings highlight the need for a dedicated bioinformatics pipeline.</p><p><strong>Materials and methods: </strong>We developed a custom clustering-based pipeline to overcome the constraints of generic SV callers, leveraging Oxford Nanopore's MinION for sequencing. Our method focuses on FLT3-ITDs by grouping near-identical insertions into biologically meaningful subclones, thereby allowing accurate variant detection of even low-frequency events. The pipeline was benchmarked against capillary electrophoresis (CE) and Sniffles at various thresholds (including 10%, 20%, and 50% allele-frequency cutoffs), with results validated via IGV inspection and cross-mapping.</p><p><strong>Results: </strong>The pipeline successfully detected FLT3-ITDs across all tested samples, including low-frequency variants and diverse subclones that Sniffles overlooked. Analyses uncovered complex multiclonal architectures composed of dominant clones (~20-25% of reads) plus multiple minor subclones differing in length, sequence, and breakpoint. Crucially, our approach identified duplications as short as 15 bp-events often dismissed by conventional SV callers. Comparative analyses showed that Sniffles failed to call several biologically validated ITDs detected by our custom pipeline.</p><p><strong>Conclusion: </strong>Third-generation sequencing combined with a tailored clustering strategy enhances the detection of FLT3-ITDs and clonal diversity in AML compared to generic variant callers. This method provides critical insights into subclonal populations driving relapse and therapeutic resistance-particularly in relapsed/refractory AML-underscoring the importance of specialized pipelines for precision medicine in leukemia.</p>\",\"PeriodicalId\":19534,\"journal\":{\"name\":\"OncoTargets and therapy\",\"volume\":\"18 \",\"pages\":\"811-820\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12288229/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OncoTargets and therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/OTT.S526628\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OncoTargets and therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/OTT.S526628","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Multiclonal Profiling of FLT3-ITD in AML Using MinION Sequencing: A Tailored Clustering Approach to Enhance Subclonal Detection.
Background: Internal tandem duplications (FLT3-ITDs) in the FLT3 gene constitute a key driver mutation in acute myeloid leukemia (AML), strongly associated with poor prognosis and therapeutic resistance. Although general-purpose structural variant callers such as Sniffles have been used to detect FLT3-ITDs, their limitations in resolving clonal diversity and low-frequency variants can lead to underrepresentation of minor clones. These shortcomings highlight the need for a dedicated bioinformatics pipeline.
Materials and methods: We developed a custom clustering-based pipeline to overcome the constraints of generic SV callers, leveraging Oxford Nanopore's MinION for sequencing. Our method focuses on FLT3-ITDs by grouping near-identical insertions into biologically meaningful subclones, thereby allowing accurate variant detection of even low-frequency events. The pipeline was benchmarked against capillary electrophoresis (CE) and Sniffles at various thresholds (including 10%, 20%, and 50% allele-frequency cutoffs), with results validated via IGV inspection and cross-mapping.
Results: The pipeline successfully detected FLT3-ITDs across all tested samples, including low-frequency variants and diverse subclones that Sniffles overlooked. Analyses uncovered complex multiclonal architectures composed of dominant clones (~20-25% of reads) plus multiple minor subclones differing in length, sequence, and breakpoint. Crucially, our approach identified duplications as short as 15 bp-events often dismissed by conventional SV callers. Comparative analyses showed that Sniffles failed to call several biologically validated ITDs detected by our custom pipeline.
Conclusion: Third-generation sequencing combined with a tailored clustering strategy enhances the detection of FLT3-ITDs and clonal diversity in AML compared to generic variant callers. This method provides critical insights into subclonal populations driving relapse and therapeutic resistance-particularly in relapsed/refractory AML-underscoring the importance of specialized pipelines for precision medicine in leukemia.
期刊介绍:
OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer.
The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype.
Specific topics covered by the journal include:
-Novel therapeutic targets and innovative agents
-Novel therapeutic regimens for improved benefit and/or decreased side effects
-Early stage clinical trials
Further considerations when submitting to OncoTargets and Therapy:
-Studies containing in vivo animal model data will be considered favorably.
-Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines.
-Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples.
-Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Single nucleotide polymorphism (SNP) studies will not be considered.