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Updated: Feb 11, 2026

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation
Published on: November 26, 2018
ZAP-70 in chronic lymphocytic leukemia: A meta-analysis
Yini Liu1, Yangfeng Wang1, Jule Yang1
1Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Donghu Road 115, Wuhan 430071, China.
Zeta-chain-associated protein kinase 70 (ZAP-70) expression is a significant prognostic biomarker in chronic lymphocytic leukemia (CLL). Increased ZAP-70 indicates poorer survival outcomes for CLL patients.
Area of Science:
- Hematology
- Oncology
- Molecular Biology
Background:
- Zeta-chain-associated protein kinase 70 (ZAP-70) expression has been suggested as a prognostic factor in chronic lymphocytic leukemia (CLL).
- Previous studies on the prognostic role of ZAP-70 in CLL have yielded controversial results.
- A meta-analysis is needed to clarify the prognostic value of ZAP-70 expression in CLL.
Purpose of the Study:
- To perform a meta-analysis to clarify the prognostic value of ZAP-70 expression in chronic lymphocytic leukemia (CLL).
Main Methods:
- A systematic literature search was conducted in PubMed, Embase, Cochrane library, and Web of Science up to January 2018.
- Data on clinicopathological features and prognostic outcomes were extracted from eligible studies.
- Pooled estimates and confidence intervals were calculated using appropriate statistical methods, assessing heterogeneity.
Main Results:
- Twelve studies comprising 1956 CLL patients were included in the meta-analysis.
- Increased ZAP-70 expression was significantly associated with poor overall survival (HR=2.48) and event-free survival (HR=4.17).
- ZAP-70 expression correlated with unmutated immunoglobulin heavy-chain genes, CD38 expression, and elevated serum β-2 microglobulin.
Conclusions:
- Zeta-chain-associated protein kinase 70 (ZAP-70) is a robust prognostic biomarker for patients diagnosed with chronic lymphocytic leukemia (CLL).
- ZAP-70 expression can help identify CLL patients with a poorer prognosis.
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