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Between 1996 and 2000, 90 newly diagnosed adult patients with T-acute lymphoblastic leukemia (T-ALL) were registered in the Gruppo Italiano Malattie Ematologiche dell'Adulto (GIMEMA) Leucemia Acuta Limfoide (LAL) 0496 protocol. Cases were centrally processed for morphology, immunophenotype, cytogenetics, molecular biology, and multidrug resistance (MDR). Twenty-two patients were females and 68 were males. Four percent of cases were pro-T, 47% pre-T, 39% cortical T, and 10% mature T-ALL. Fifty-six percent of patients with pro-T + pre-T-ALL achieved complete remission (CR) compared with 91% for cortical + mature cases (P = .002). CD34 expression was associated with a significantly lower CR rate: 54% versus 84% (P = .009). Thirty-one (36.5%) of 85 patients had an abnormal karyotype, the most common abnormality (15%) being a partial del(6q). The cytogenetic profile did not impact on CR achievement. MDR1 function, present in 26% of cases, correlated significantly with CR achievement (P = .004). A highly significant (P = .001) difference in CR rate was observed between patients who did not express the CD13/CD33/CD34 antigens and were MDR functionally negative (96%) compared with patients positive for at least one of these markers (57%). Multivariate analysis showed an impact on CR achievement for CD33 expression and MDR1 function. An extensive biologic workup of adult T-ALL cases at presentation is recommended in order to design tailored therapeutic strategies aimed at improving CR rates.
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http://dx.doi.org/10.1182/blood-2005-04-1754 | DOI Listing |
Tidsskr 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.
Pediatr Blood Cancer
September 2025
Department of Laboratory Medicine, Shenzhen Children's Hospital, Affiliated to Shantou University Medical College, Shenzhen, Guangdong, P. R. China.
Pediatr Blood Cancer
September 2025
Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, Ontario, Canada.
Purpose: Children with B-acute lymphoblastic leukemia (B-ALL) treated in resource-intensive settings have a high likelihood of cure, but therapy is long, burdensome, and associated with substantial toxicities. Understanding parents' perceptions of the most disruptive and difficult aspects of B-ALL treatment is critical to future improvements in care. We aimed to understand which child side effects, chemotherapeutic agents, and aspects of leukemia care are rated difficult or disruptive by parents, and variations based on parent or child characteristics.
View Article and Find Full Text PDFZhonghua Bing Li Xue Za Zhi
September 2025
Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
To investigate the clinicopathological features, diagnosis, and prognosis of aggressive natural killer-cell leukemia (ANKL). A retrospective analysis was conducted on 27 ANKL patients treated at the First Affiliated Hospital of Nanjing Medical University from 2014 to 2024. Their clinical data, histomorphology, and immunophenotype were reviewed.
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