RT Journal Article T1 Detection of kinase domain mutations in BCR::ABL1 leukemia by ultra-deep sequencing of genomic DNA A1 Sánchez, Ricardo A1 Dorado, Sara A1 Ruíz-Heredia, Yanira A1 Martín-Muñoz, Alejandro A1 Rosa-Rosa, Juan Manuel A1 Ribera, Jordi A1 García, Olga A1 Jiménez-Ubieto, Ana A1 Carreño-Tarragona, Gonzalo A1 Linares Gómez, María A1 Rufián, Laura A1 Juárez, Alexandra A1 Carrillo, Jaime A1 Espino, María José A1 Cáceres, Mercedes A1 Expósito, Sara A1 Cuevas, Beatriz A1 Vanegas, Raúl A1 Casado, Luis Felipe A1 Torrent, Anna A1 Zamora, Lurdes A1 Mercadal, Santiago A1 Coll, Rosa A1 Cervera, Marta A1 Morgades, Mireia A1 Hernández-Rivas, José Ángel A1 Bravo, Pilar A1 Serí, Cristina A1 Anguita, Eduardo A1 Barragán, Eva A1 Sargas, Claudia A1 Ferrer-Marín, Francisca A1 Sánchez-Calero, Jorge A1 Sevilla, Julián A1 Ruíz, Elena A1 Villalón, Lucía A1 Herráez, María del Mar A1 Riaza, Rosalía A1 Magro, Elena A1 Steegman, Juan Luis A1 Wang, Chongwu A1 Toledo, Paula de A1 García-Gutiérrez, Valentín A1 Ayala Díaz, Rosa María A1 Ribera, Josep-Maria A1 Barrio, Santiago A1 Martínez López, Joaquín AB 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 < 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 (n = 86 CML and n = 76 B-ALL) were studied. Of them, 27 out of 86 harbored mutations (6 in warning and 21 in failure) for CML, and 13 out of 76 (2 diagnostic and 11 relapse samples) did in B-ALL patients. In addition, in four cases were detected mutation despite BCR::ABL1 < 1%. In conclusion, we were able to detect KD ABL1 mutations with a 1.0E−4 sensitivity by NGS using DNA as starting material even in patients with low levels of disease. PB Nature Research SN 2045-2322 YR 2022 FD 2022-07-29 LK https://hdl.handle.net/20.500.14352/101870 UL https://hdl.handle.net/20.500.14352/101870 LA eng NO Sánchez R, Dorado S, Ruíz-Heredia Y, Martín-Muñoz A, Rosa-Rosa JM, Ribera J, García O, Jimenez-Ubieto A, Carreño-Tarragona G, Linares M, Rufián L, Juárez A, Carrillo J, Espino MJ, Cáceres M, Expósito S, Cuevas B, Vanegas R, Casado LF, Torrent A, Zamora L, Mercadal S, Coll R, Cervera M, Morgades M, Hernández-Rivas JÁ, Bravo P, Serí C, Anguita E, Barragán E, Sargas C, Ferrer-Marín F, Sánchez-Calero J, Sevilla J, Ruíz E, Villalón L, Del Mar Herráez M, Riaza R, Magro E, Steegman JL, Wang C, De Toledo P, García-Gutiérrez V, Ayala R, Ribera J-M, Barrio S, Martínez-López J. Detection of kinase domain mutations in BCR::ABL1 leukemia by ultra-deep sequencing of genomic DNA. Sci Rep 2022;12:13057. https://doi.org/10.1038/s41598-022-17271-3. NO Centro Nacional para la Información Biotecnológica (Estados Unidos) DS Docta Complutense RD 16 abr 2025