Evidence map›Paper›PMID 41280607›Full record

ArticleJournal of family medicine and primary care2025

Immunophenotypic patterns in paediatric acute leukaemia: A flowcytometry-based prospective observational study in tribal dominant state, Jharkhand.

Rashmi Rati, Arvind Kumar, Sunil Kumar Mahto, Satyabrat Patra, Manoj Kumar Paswan, Rajendra Prasad

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Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Rashmi RatiDepartment of Pathology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Arvind KumarDepartment of Pathology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Sunil Kumar MahtoDepartment of Pathology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Satyabrat PatraDepartment of Pathology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Manoj Kumar PaswanDepartment of Pathology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Rajendra PrasadDepartment of Pathology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute leukaemia is a rapidly progressive haematopoietic disorder affecting bone marrow, leading to excessive production of immature blast cells. Acute myeloid leukaemia (AML) in adults accounts for 80-90% of cases of acute leukaemia. Acute lymphoblastic leukaemia (ALL), common in childhood, comprises 12% of all leukaemia. Immunophenotyping using flow cytometry is crucial for classifying leukaemia into AML and acute lymphoblastic leukaemia (ALL) subtypes, aiding in accurate diagnosis and treatment. Objective: The aim of the study was to analyze the different immunophenotypic patterns in paediatric leukaemia by flow cytometry. Materials and Methods: This prospective observational study included 54 diagnosed cases of paediatric acute leukaemia on bone marrow studies. Furthermore, it is classified by multiparametric flowcytometry. Results: Among 54 cases, 30 (56%) were ALL and 24 (44%) were AML. Among ALL cases, 21 (70%) were B ALL and 9 (30%) were T ALL. The most common symptoms were fever (91%) and fatigue (96%). Immunophenotyping showed B ALL cases expressing CD10 (86%), CD19 (81%), and CD79a (81%), while T ALL cases predominantly expressed sCD3 (66%), CD5 (89%), and CD7 (89%). AML cases exhibited CD13 (83%), CD33 (88%), and cMPO (88%). Conclusion: Flow cytometry is a highly accurate tool for differentiating leukaemia subtypes. Immunophenotyping plays a crucial role in diagnosis, classification, and treatment planning for Paediatric leukaemia.

Indexed as

Acute leukaemiaflow cytometryimmunophenotypingpaediatric

Identifiers

PMID41280607
PMCPMC12633981

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