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Updated: Jun 18, 2026
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From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia
Published on: October 19, 2014
[Prognostic factor analysis in 203 patients with chronic lymphocytic leukaemia]
Tong Wu1, Zheng-Jun Li, Ya-Fei Wang
1Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, Tianjin 300020, China.
Zhonghua Xue Ye Xue Za Zhi = Zhonghua Xueyexue Zazhi
|December 4, 2009
Summary
Prognostic factors for chronic lymphocytic leukemia (CLL) were identified. The number of involved lymph node regions and atypical cell morphology independently predict patient outcomes.
Area of Science:
- Hematology
- Oncology
- Clinical Research
Context:
- Chronic lymphocytic leukemia (CLL) is a common hematologic malignancy.
- Accurate prognostic factors are crucial for guiding treatment decisions and patient management.
- Previous prognostic models for CLL have varied in complexity and predictive accuracy.
Purpose:
- To identify independent prognostic factors for chronic lymphocytic leukemia (CLL).
- To analyze survival data in a cohort of CLL patients.
- To develop a risk stratification model based on identified prognostic factors.
Summary:
- A retrospective analysis of 203 CLL patients (2000-2007) identified prognostic factors using Kaplan-Meier, log-rank, and COX regression analyses.
- Multivariate analysis revealed that the number of involved lymph node regions (≥3) and atypical cell morphology were independent predictors of poor prognosis.
- A three-tiered risk stratification (low, intermediate, high) based on these factors demonstrated significant differences in 5-year overall survival rates.
Impact:
- This study refines prognostic assessment in CLL by identifying key independent factors.
- The developed risk groups can aid clinicians in stratifying patients and tailoring therapeutic strategies.
- Improved prognostic accuracy may lead to more personalized treatment approaches and better patient outcomes in CLL care.
