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
Conclusions
An algorithm implementing widely available techniques enables the identification of BCR::ABL1-like ALL cases in settings with limited resources.
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.