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Related Experiment Video

Updated: Jun 17, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

Published on: October 19, 2014

Predicting clinical outcome in CLL: how and why.

Tait D Shanafelt¹

¹Department of Internal Medicine, Division of Hematology, Mayo Clinic, Rochester, MN 55905, USA. shanafelt.tait@mayo.edu

Hematology. American Society of Hematology. Education Program

|December 17, 2009

Summary

Prognostic markers like ZAP-70 and IGHV mutation status help predict chronic lymphocytic leukemia (CLL) patient outcomes. Integrating these tools personalizes patient care and treatment decisions.

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Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Published on: November 26, 2018

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Last Updated: Jun 17, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia

Published on: October 19, 2014

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation

Published on: November 26, 2018

Area of Science:

Hematology
Oncology
Molecular Biology

Background:

Chronic lymphocytic leukemia (CLL) exhibits heterogeneous clinical courses, ranging from indolent to rapidly progressive disease.
Accurate prognostication is crucial for managing CLL patients and guiding treatment strategies.
Existing prognostic tools provide insights into disease biology and patient risk stratification.

Purpose of the Study:

To review current prognostic tools for chronic lymphocytic leukemia (CLL).
To discuss the integration of multiple prognostic assays into a comprehensive risk stratification system.
To highlight the application of these tools in routine clinical practice for personalized patient management.

Main Methods:

Review of clinical features, molecular markers (ZAP-70, IGHV mutation status), and cytogenetic abnormalities (FISH).
Analysis of prognostic value for treatment-free and overall survival in newly diagnosed CLL patients.
Exploration of integrated risk stratification systems and their influence on treatment response.

Main Results:

ZAP-70, IGHV mutation status, and FISH abnormalities are robust predictors of survival in CLL.
These prognostic factors are vital for understanding disease biology and stratifying risk in clinical trials.
Emerging research focuses on combining multiple assays for enhanced risk assessment.

Conclusions:

Prognostic tools are essential for individualizing patient counseling and follow-up frequency in CLL.
These markers inform treatment selection, leading to more personalized therapeutic approaches.
Integrated risk stratification systems promise to further refine CLL management strategies.