NOTCH1 mutation status as a prognostic biomarker in T-cell acute lymphoblastic leukemia: a systematic review and meta-analysis

The prognostic significance of NOTCH1 mutations in T-cell acute lymphoblastic leukemia (T-ALL) remains uncertain. This study evaluates their impact on key clinical outcomes. A systematic search of the Cochrane Library, PubMed, and CINAHL identified eleven peer-reviewed studies encompassing 2,039 patients. Data were independently extracted by two reviewers and analyzed using RevMan 5.4.1. NOTCH1 mutations were associated with an approximately 22% improvement in event-free survival (EFS) across ten studies (pooled relative risk 0.63, 95% CI: 0.51–0.78), with corresponding EFS rates of 68.8% in NOTCH1-mutated cases versus 53.8% in wild-type cases. Although the improvement in prednisolone response (PR) across three studies was not statistically significant (pooled OR 1.41, 95% CI: 0.44–4.56; p = 0.56), complete remission (CR) rates in three studies were markedly higher in the NOTCH1-mutant group (pooled OR 8.53, 95% CI: 0.86–85.09). Overall survival (OS), evaluated in three studies, tended to be improved in patients with NOTCH1 mutations; however, substantial inter-study heterogeneity precluded definitive conclusions. These findings support incorporating NOTCH1 mutation status into clinical prognostication and treatment planning for T-ALL, potentially facilitating more personalized therapeutic strategies.

Authors

Institutions

Publication Details

Journal
BMC Cancer
Published
2025-11-25
DOI
https://doi.org/10.1186/s12885-025-15233-2
Primary Topic
Acute Lymphoblastic Leukemia research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

NOTCH1 mutation status as a prognostic biomarker in T-cell acute lymphoblastic leukemia: a systematic review and meta-analysis

Javeed Iqbal, Dhafer Malouche, Aisha Al Khinji, Hissa Al Kuwari et al.
BMC Cancer
Acute Lymphoblastic Leukemia research
article

NOTCH1 mutation status as a prognostic biomarker in T-cell acute lymphoblastic leukemia: a systematic review and meta-analysis

Javeed Iqbal, Dhafer Malouche, Aisha Al Khinji, Hissa Al Kuwari, Abdullatif Al Hor, Deema Al-Hamed
article en

Abstract

The prognostic significance of NOTCH1 mutations in T-cell acute lymphoblastic leukemia (T-ALL) remains uncertain. This study evaluates their impact on key clinical outcomes. A systematic search of the Cochrane Library, PubMed, and CINAHL identified eleven peer-reviewed studies encompassing 2,039 patients. Data were independently extracted by two reviewers and analyzed using RevMan 5.4.1. NOTCH1 mutations were associated with an approximately 22% improvement in event-free survival (EFS) across ten studies (pooled relative risk 0.63, 95% CI: 0.51–0.78), with corresponding EFS rates of 68.8% in NOTCH1-mutated cases versus 53.8% in wild-type cases. Although the improvement in prednisolone response (PR) across three studies was not statistically significant (pooled OR 1.41, 95% CI: 0.44–4.56; p = 0.56), complete remission (CR) rates in three studies were markedly higher in the NOTCH1-mutant group (pooled OR 8.53, 95% CI: 0.86–85.09). Overall survival (OS), evaluated in three studies, tended to be improved in patients with NOTCH1 mutations; however, substantial inter-study heterogeneity precluded definitive conclusions. These findings support incorporating NOTCH1 mutation status into clinical prognostication and treatment planning for T-ALL, potentially facilitating more personalized therapeutic strategies.

BMC CancerVol. 25(1)
University of Nebraska Medical Center (US), Qatar University (QA)
Qatar University
Openalex Percentile: Top 53%
Acute Lymphoblastic Leukemia research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.