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Biomarkers in Samples From Patients With Follicular Lymphoma Treated With Rituximab

2014-08-27 03:12:41 | BioPortfolio

Summary

RATIONALE: Studying the effects of rituximab in blood and tumor tissue samples from patients with cancer in the laboratory may help doctors learn more about the effects of rituximab on cancer cells. It may also help doctors identify biomarkers related to cancer.

PURPOSE: This research study is studying biomarkers in samples from patients with follicular lymphoma treated with rituximab.

Description

OBJECTIVES:

- Correlate immunoglobulin Fc receptor (FcγR) polymorphisms with response, response duration, and time to resistance in samples from patients with follicular lymphoma (FL) treated with single-agent rituximab on ECOG-E4402.

- Identify gene expression profiles that correlate with response, response duration, and time to rituximab resistance in these patients.

- Determine whether the FL microenvironment is predictive of initial response and duration of response to rituximab.

OUTLINE: DNA and RNA from banked peripheral blood mononuclear cells (PBMCs) and formalin-fixed paraffin-embedded (FFPE) tumor samples are analyzed for immunoglobulin-receptor polymorphism, gene expression profile, and follicular lymphoma microenvironment by real-time PCR, microarray hybridization, and IHC.

PROJECTED ACCRUAL: A total of 259 PBMC samples and 300 FFPE blocks will be accrued for this study.

Study Design

N/A

Conditions

Lymphoma

Intervention

gene expression analysis, microarray analysis, polymerase chain reaction, polymorphism analysis, immunohistochemistry staining method, laboratory biomarker analysis

Status

Not yet recruiting

Source

National Cancer Institute (NCI)

Results (where available)

View Results

Links

Published on BioPortfolio: 2014-08-27T03:12:41-0400

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Medical and Biotech [MESH] Definitions

MOLECULAR BIOLOGY techniques used in the diagnosis of disease. Included are such techniques as IN SITU HYBRIDIZATION of chromosomes for CYTOGENETIC ANALYSIS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS of gene expression patterns in disease states; identification of pathogenic organisms by analysis of species specific DNA sequences; and detection of mutations with POLYMERASE CHAIN REACTION.

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