ArticleMolecular cytogenetics2023
BCR::ABL1-like acute lymphoblastic leukaemia: a single institution experience on identification of potentially therapeutic targetable cases.
Article in Molecular cytogenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Genomic characterization of resistant and relapsed adult B-cell acute lymphoblastic leukemia.Journal of applied genetics · 2026Article
- A case report and a literature review of Myeloid/Lymphoid Neoplasm with Eosinophilia and PCM1::JAK2 rearrangement representing as B-cell acute lymphoblastic leukemia B-ALL.Annals of hematology · 2026Review
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
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 the BCR::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 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.
conclusionsAn algorithm implementing widely available techniques enables the identification of BCR::ABL1-like ALL cases in settings with limited resources.
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