<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12(1)</volume><submitter>Sanchez R</submitter><funding>FUNDACION CRIS CONTRA EL CÁNCER</funding><pubmed_abstract>The screening of the BCR::ABL1 kinase domain (KD) mutation has become a routine analysis in case of warning/failure for chronic myeloid leukemia (CML) and B-cell precursor acute lymphoblastic leukemia (ALL) Philadelphia (Ph)-positive patients. In this study, we present a novel DNA-based next-generation sequencing (NGS) methodology for KD ABL1 mutation detection and monitoring with a 1.0E-4 sensitivity. This approach was validated with a well-stablished RNA-based nested NGS method. The correlation of both techniques for the quantification of ABL1 mutations was high (Pearson r = 0.858, p &lt; 0.001), offering DNA-DeepNGS a sensitivity of 92% and specificity of 82%. The clinical impact was studied in a cohort of 129 patients (n = 67 for CML and n = 62 for B-ALL patients). A total of 162 samples </pubmed_abstract><journal>Scientific reports</journal><pagination>13057</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9338264</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Detection of kinase domain mutations in BCR::ABL1 leukemia by ultra-deep sequencing of genomic DNA.</pubmed_title><pmcid>PMC9338264</pmcid><pubmed_authors>Villalon L</pubmed_authors><pubmed_authors>Steegman JL</pubmed_authors><pubmed_authors>Casado LF</pubmed_authors><pubmed_authors>Sanchez R</pubmed_authors><pubmed_authors>Wang C</pubmed_authors><pubmed_authors>Ferrer-Marin F</pubmed_authors><pubmed_authors>Anguita E</pubmed_authors><pubmed_authors>Ayala R</pubmed_authors><pubmed_authors>Carrillo J</pubmed_authors><pubmed_authors>Garcia-Gutierrez V</pubmed_authors><pubmed_authors>Ribera JM</pubmed_authors><pubmed_authors>Rosa-Rosa JM</pubmed_authors><pubmed_authors>de Toledo P</pubmed_authors><pubmed_authors>Morgades M</pubmed_authors><pubmed_authors>Martin-Munoz A</pubmed_authors><pubmed_authors>Carreno-Tarragona G</pubmed_authors><pubmed_authors>Coll R</pubmed_authors><pubmed_authors>Cervera M</pubmed_authors><pubmed_authors>Barragan E</pubmed_authors><pubmed_authors>Martinez-Lopez J</pubmed_authors><pubmed_authors>Rufian L</pubmed_authors><pubmed_authors>Exposito S</pubmed_authors><pubmed_authors>Vanegas R</pubmed_authors><pubmed_authors>Sargas C</pubmed_authors><pubmed_authors>Linares M</pubmed_authors><pubmed_authors>Dorado S</pubmed_authors><pubmed_authors>Seri C</pubmed_authors><pubmed_authors>Bravo P</pubmed_authors><pubmed_authors>Garcia O</pubmed_authors><pubmed_authors>Mercadal S</pubmed_authors><pubmed_authors>Del Mar Herraez M</pubmed_authors><pubmed_authors>Sevilla J</pubmed_authors><pubmed_authors>Barrio S</pubmed_authors><pubmed_authors>Zamora L</pubmed_authors><pubmed_authors>Magro E</pubmed_authors><pubmed_authors>Espino MJ</pubmed_authors><pubmed_authors>Ruiz E</pubmed_authors><pubmed_authors>Riaza R</pubmed_authors><pubmed_authors>Torrent A</pubmed_authors><pubmed_authors>Cuevas B</pubmed_authors><pubmed_authors>Ruiz-Heredia Y</pubmed_authors><pubmed_authors>Hernandez-Rivas JA</pubmed_authors><pubmed_authors>Ribera J</pubmed_authors><pubmed_authors>Juarez A</pubmed_authors><pubmed_authors>Caceres M</pubmed_authors><pubmed_authors>Jimenez-Ubieto A</pubmed_authors><pubmed_authors>Sanchez-Calero J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Detection of kinase domain mutations in BCR::ABL1 leukemia by ultra-deep sequencing of genomic DNA.</name><description>The screening of the BCR::ABL1 kinase domain (KD) mutation has become a routine analysis in case of warning/failure for chronic myeloid leukemia (CML) and B-cell precursor acute lymphoblastic leukemia (ALL) Philadelphia (Ph)-positive patients. In this study, we present a novel DNA-based next-generation sequencing (NGS) methodology for KD ABL1 mutation detection and monitoring with a 1.0E-4 sensitivity. This approach was validated with a well-stablished RNA-based nested NGS method. The correlation of both techniques for the quantification of ABL1 mutations was high (Pearson r = 0.858, p &lt; 0.001), offering DNA-DeepNGS a sensitivity of 92% and specificity of 82%. The clinical impact was studied in a cohort of 129 patients (n = 67 for CML and n = 62 for B-ALL patients). A total of 162 samples </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jul</publication><modification>2026-07-16T12:02:22.867Z</modification><creation>2025-04-04T08:44:59.151Z</creation></dates><accession>S-EPMC9338264</accession><cross_references><pubmed>35906470</pubmed><doi>10.1038/s41598-022-17271-3</doi></cross_references></HashMap>