Publications by authors named "J Jakubowska"
Article Synopsis
- - Acute lymphoblastic leukaemia (ALL) is a complex pediatric cancer that requires precise diagnostics to ensure effective treatment, especially in distinguishing between B-cell ALL (B-ALL) and T-cell ALL (T-ALL).
- - This study investigates the use of label-free Raman imaging with chemometrics as a rapid testing method for accurately identifying and classifying B-ALL and T-ALL at the single-cell level, showing significant improvements over traditional methods.
- - Findings reveal that Raman spectroscopy detects unique molecular signatures in leukemic cells, allowing for reliable differentiation from normal lymphocytes, and highlights its potential for enhancing clinical diagnosis and personalized treatment strategies in pediatric oncology.
Asciminib stands out as the superior tyrosine kinase inhibitor to combine with anti-CD20 monoclonal antibodies for the treatment of CD20 Philadelphia-positive B-cell precursor acute lymphoblastic leukemia in preclinical models.
Krzysztof Domka Agnieszka Dąbkowska Martyna Janowska Zuzanna Urbańska Agata Pastorczak Justyna Jakubowska
Haematologica
November 2024
Philadelphia chromosome-positive B-cell precursor acute lymphoblastic leukemia (Ph+ BCP-ALL) is a high-risk subtype of acute lymphoblastic leukemia characterized by the presence of the BCR::ABL1 fusion gene. Tyrosine kinase inhibitors (TKI) combined with chemotherapy are established as the first-line treatment. Additionally, rituximab, an anti-CD20 monoclonal antibody is administered to adult BCP-ALL patients with ≥20% CD20+ blasts.
View Article and Find Full Text PDFRaman spectroscopy can recognize the KMT2A rearrangement as a distinct subtype of leukemia.
Spectrochim Acta A Mol Biomol Spectrosc
June 2024
Article Synopsis
- - Acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) are common and difficult-to-treat blood cancers, with ALL having a particularly aggressive subtype linked to KMT2A gene rearrangement, especially in children.
- - Researchers combined Raman spectroscopy with machine learning to create a method that can distinguish KMT2A-r ALL cells from other types of leukemia and normal cells, based on their unique spectroscopic profiles.
- - The study established a rapid, label-free technique that identifies KMT2A-r ALL blasts by measuring specific Raman bands, which could potentially enhance diagnostic accuracy in labs and medical facilities.