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Philadelphia-like acute lymphoblastic leukemia (Ph-like ALL) is a high-risk subset of B-cell ALL with a poor prognosis with conventional therapies. Diagnostic challenges and lack of standardized treatment protocols contribute to suboptimal outcomes. Additionally, while allogeneic hematopoietic cell transplantation (HCT) is frequently recommended in adults with Ph-like ALL given its high-risk nature, data supporting its role remains limited. We conducted a multicenter retrospective study evaluating outcomes of adult patients undergoing HCT in first complete remission (CR1) for Ph-like ALL compared to Philadelphia chromosome positive ALL (Ph-pos) and other B-cell Philadelphia negative (Ph-neg) ALL. Data was collected from five academic centers across the US, focusing on HCT outcomes for patients with ALL. Patients undergoing HCT in CR1 between 2006 and 2021 were included. Among 673 patients, 83 (12.3%) had Ph-like ALL, while 271 (40.3%) had Ph-pos and 319 (47.4%) had Ph-neg ALL. Outcomes following HCT in CR1 for Ph-like ALL were comparable to Ph-neg ALL, with no significant differences in 3-year overall survival (66% vs. 59%, P = .1), progression-free survival (59% and 54%, P = .1), or relapse rates (22% vs. 20%, P = .7). In contrast, Ph-pos ALL had superior outcomes; 3-year OS (75%, P < .001), PFS (70%, P = .001) and relapse (12%, P = .003), this is likely attributed to tyrosine kinase inhibitor therapy. Our study suggests that HCT, coupled with effective 2nd line therapies can possibly mitigate the poor prognosis associated with Ph-like ALL and offers promising outcomes for patients with Ph-like ALL.
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http://dx.doi.org/10.1016/j.jtct.2024.09.020 | DOI Listing |
Turk J Pediatr
September 2025
Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Background: Glucocorticoids remain the primary treatment for acute lymphoblastic leukemia (ALL) in children. However, glucocorticoid-resistant ALL exhibits increased mortality rates. To overcome resistance and improve management strategies, alternative therapeutic agents are required.
View Article and Find Full Text PDFOcular relapse in pediatric acute lymphoblastic leukemia (ALL) is rare and typically associated with central nervous system or bone marrow involvement. Anterior segment infiltration as the sole manifestation of relapse is exceptionally uncommon and may mimic noninfectious uveitis, leading to diagnostic delay. We report the case of a 4-year-old boy with a history of B-cell precursor ALL, diagnosed at age 2 and treated according to the ALL IC BFM 2009 protocol.
View Article and Find Full Text PDFAnal Chem
September 2025
School of Chemistry and Chemical Engineering, Shandong University of Technology, Zibo 255049, PR China.
Pax-5a gene, as a nucleic acid biomarker closely associated with B-cell acute lymphoblastic leukemia (B-ALL), holds significant potential for early disease diagnosis. In this study, we developed a highly accurate and efficient "on-super on-off" photoelectrochemical (PEC) biosensor based on a dual-photoelectrode heterojunction system integrated with a multisphere cascade DNA amplification strategy. The designed heterojunction dual-photoelectrode platform, comprising a InO/CdS photoanode (on state) and an in situ-formed MIL-68(In)/InO (MIO) photocathode, effectively extends the electron-hole transport pathway, enhances photogenerated charge separation, and produces high-amplitude signal output (super on state), thereby providing a robust baseline for signal transduction.
View Article and Find Full Text PDFTidsskr Nor Laegeforen
September 2025
Avdeling for blodsjukdomar, St. Olavs hospital.
Background: Abnormal blood test results are common in both primary and specialist health care. The cause is often multifactorial, and investigations are often conducted across various specialties. We present a patient with incidental disturbances in the blood count with a serious causal relationship.
View Article and Find Full Text PDFInt J Lab Hematol
September 2025
Dr Lal Pathlabs Ltd, National Reference Laboratory, New Delhi, India.
Context: Early detection of acute leukemia (AL) is crucial for timely intervention and improved outcomes. Machine learning (ML) models provide a promising approach for early screening and rapid diagnosis of AL, minimizing delays in referral.
Objectives: To assess the utility of leukocyte cell population data (CPD) through ML models for detecting AL.