4.4 Article

Distinct gene expression profiles in subsets of chronic lymphocytic leukemia expressing stereotyped IGHV4-34 B-cell receptors

期刊

HAEMATOLOGICA-THE HEMATOLOGY JOURNAL
卷 95, 期 12, 页码 2072-2079

出版社

FERRATA STORTI FOUNDATION
DOI: 10.3324/haematol.2010.028639

关键词

stereotyped BCR; IGHV(4)-34; chronic lymphocytic leukemia; gene expression

资金

  1. Swedish Cancer Society
  2. Swedish Research Council
  3. Medical Faculty of Uppsala University
  4. Uppsala University Hospital
  5. Lion's Cancer Research Foundation in Uppsala, Sweden

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Background Numerous subsets of patients with chronic lymphocytic leukemia display similar immunoglobulin gene usage with almost identical complementarity determining region 3 sequences. Among IGHV4-34 cases, two such subsets with stereotyped B-cell receptors were recently identified, i.e. subset #4 (IGHV4-34/IGKV2-30) and subset #16 (IGHV4-34/IGKV3-20). Subset #4 patients appear to share biological and clinical features, e.g. young age at diagnosis and indolent disease, whereas little is known about subset #16 at a clinical level. Design and Methods We investigated the global gene expression pattern in sorted chronic lymphocytic leukemia cells from 25 subset/non-subset IGHV4-34 patients using Affymetrix gene expression arrays. Results Although generally few differences were found when comparing subset to non-subset 4/16 IGHV4-34 cases, distinct gene expression profiles were revealed for subset #4 versus subset #16. The differentially expressed genes, predominantly with lower expression in subset #4 patients, are involved in important cell regulatory pathways including cell-cycle control, proliferation and immune response, which may partly explain the low-proliferative disease observed in subset #4 patients. Conclusions Our novel data demonstrate distinct gene expression profiles among patients with stereotyped IGHV4-34 B-cell receptors, providing further evidence for biological differences in the pathogenesis of these subsets and underscoring the functional relevance of subset assignment based on B-cell receptor sequence features.

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