Cargando…

BCR::ABL1-like acute lymphoblastic leukaemia: a single institution experience on identification of potentially therapeutic targetable cases

BACKGROUND: BCR::ABL1-like acute lymphoblastic leukaemia (BCR::ABL1-like ALL) is characterized by inferior outcomes. Current efforts concentrate on the identification of molecular targets to improve the therapy results. The accessibility to next generation sequencing, a recommended diagnostic method...

Descripción completa

Detalles Bibliográficos
Autores principales: Płotka, Anna, Przybyłowicz-Chalecka, Anna, Korolczuk, Maria, Kanduła, Zuzanna, Ratajczak, Błażej, Kiernicka-Parulska, Jolanta, Mierzwa, Anna, Godziewska, Katarzyna, Jarmuż-Szymczak, Małgorzata, Gil, Lidia, Lewandowski, Krzysztof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318696/
https://www.ncbi.nlm.nih.gov/pubmed/37400842
http://dx.doi.org/10.1186/s13039-023-00645-1
Descripción
Sumario:BACKGROUND: BCR::ABL1-like acute lymphoblastic leukaemia (BCR::ABL1-like ALL) is characterized by inferior outcomes. Current efforts concentrate on the identification of molecular targets to improve the therapy results. The accessibility to next generation sequencing, a recommended diagnostic method, is limited. We present our experience in the BCR::ABL1-like ALL diagnostics, using a simplified algorithm. RESULTS: Out of 102 B-ALL adult patients admitted to our Department in the years 2008–2022, 71 patients with available genetic material were included. The diagnostic algorithm comprised flow cytometry, fluorescent in-situ hybridization, karyotype analysis and molecular testing with high resolution melt analysis and Sanger Sequencing. We recognized recurring cytogenetic abnormalities in 32 patients. The remaining 39 patients were screened for BCR::ABL1-like features. Among them, we identified 6 patients with BCR::ABL1-like features (15.4%). Notably, we documented CRLF2-rearranged (CRLF2-r) BCR::ABL1-like ALL occurrence in a patient with long-term remission of previously CRLF2-r negative ALL. CONCLUSIONS: An algorithm implementing widely available techniques enables the identification of BCR::ABL1-like ALL cases in settings with limited resources.