Mapping the genetic features of T-ALL cases through simplified NGS approach

Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Clinical immunology (Orlando, Fla.). - 1999. - 245(2022) vom: 08. Dez., Seite 109151
1. Verfasser: García-Aznar, José María (VerfasserIn)
Weitere Verfasser: Alonso, Sara, Iglesias, David De Uña, de Ugarriza, Paula López, López, Carmen Álvarez, Balbín, Milagros, Del Castillo, Teresa Bernal
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Clinical immunology (Orlando, Fla.)
Schlagworte:Journal Article Research Support, Non-U.S. Gov't BCL11B CNVs NGS T-ALL VDJ-rearrangement SIL-TAL1 fusion protein, human Oncogene Proteins, Fusion
Beschreibung
Zusammenfassung:Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.
BACKGROUND: Despite the irruption of massive sequencing technologies in clinical routine, the genetic diagnosis of T-cell acute lymphoblastic leukemia (T-ALL) continues to be based on traditional techniques. The integration of old and new technologies with diagnostic and prognostic purposes represents a major challenge
METHODS: A High-Throughput Sequencing (HTS) approach was applied to analyze the genetic landscape of two patients diagnosed with T-ALL and one early T cell precursor acute leukemia. Orthogonal standard techniques were used to confirm the findings of NGS analysis
RESULTS: By using a single test, a complete genetic map including 2 previously unreported missense mutations in BCL11B gene are reported. Cooperating oncogenic lesions including CDKN2A/B deletions, SIL-TAL1 rearrangement and FLT3 amplification were also captured by using a single test
CONCLUSIONS: HTS is a useful approach that allows simultaneously analyzing mutations, CNVs and the clonal repertoire in T-ALL patients. This approach may simplify the genetic assessment of ALL
Beschreibung:Date Completed 25.11.2022
Date Revised 26.12.2022
published: Print-Electronic
Citation Status MEDLINE
ISSN:1521-7035
DOI:10.1016/j.clim.2022.109151