Evidence map›Paper›PMID 41234729›Full record

ArticleFrontiers in oncology2025

Clinical characteristics and prognostic analysis of different fusion gene abnormalities in childhood acute lymphoblastic leukaemia.

Rui Fan, Mengmeng Zhao, Peiling Li, Yunjiao Tian, Bao Liu, Xiaojuan Zhu, Xi Chen, Yuanfei Wang, Yanyan Ma, Shujun Li

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Article in Frontiers in oncology, 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

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10 authors.

Rui FanDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Mengmeng ZhaoDepartment of Genetics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Peiling LiDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Yunjiao TianDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Bao LiuDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Xiaojuan ZhuDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Xi ChenDepartment of Pediatrics, Xinyang Central Hospital, Xinyang, China.
Yuanfei WangDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Yanyan MaDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
Shujun LiDepartment of Pediatrics, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze the clinical features and prognostic significance of different fusion gene subtypes in pediatric patients with acute lymphoblastic leukaemia (ALL). Methods: Clinical data from 132 childhood patients with ALL diagnosed between 2016 and 2025 were retrospectively analyzed. Patients were categorized based on fusion gene status: TEL::AML1, BCR::ABL, E2A::PBX1, MLL::AF4, SIL::TAL1, other, negative and unknown. Clinical characteristics, laboratory findings, treatment responses, minimal residual disease status and survival outcomes were compared among different fusion gene groups. Survival analyses included overall survival (OS), event-free survival (EFS) and recurrence-free survival using the Kaplan-Meier method and Cox regression models. Results: Among 132 patients, the fusion gene distribution was as follows: negative (48.5%), unknown (32.6%), TEL::AML1 (7.6%), BCR::ABL (3.8%), E2A::PBX1 (3.0%), MLL::AF4 (2.3%), other (1.5%) and SIL::TAL1 (0.8%). B-cell immunophenotype predominated (88.6%). E2A::PBX1-positive patients showed the most favorable outcomes with 100% 5-year OS and EFS. TEL::AML1-positive patients demonstrated good prednisone responses (90%), with 90% 5-year OS. BCR::ABL and MLL::AF4 cases presented with elevated white blood cell counts (median 86.9 and 96.5 × 10 Conclusion: Fusion gene abnormalities significantly influence the clinical presentation and prognosis of childhood ALL. E2A::PBX1 and TEL::AML1 demonstrate favorable outcomes, whereas BCR::ABL, MLL::AF4 and SIL::TAL1 are associated with unfavorable prognosis. These findings provide valuable insights for risk stratification and treatment optimization in pediatric ALL.

Indexed as

acute lymphoblastic leukaemiachildhoodfusion geneminimal residual diseaseprognosis

Identifiers

PMID41234729
PMCPMC12605346

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