BackgroundBCR::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 theBCR::ABL1-like ALL diagnostics, using a simplified algorithm.ResultsOut 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 forBCR::ABL1-like features. Among them, we identified 6 patients withBCR::ABL1-like features (15.4%). Notably, we documentedCRLF2-rearranged (CRLF2-r)BCR::ABL1-like ALL occurrence in a patient with long-term remission of previouslyCRLF2-r negative ALL.ConclusionsAn algorithm implementing widely available techniques enables the identification ofBCR::ABL1-like ALL cases in settings with limited resources.