Expression of Mutated IGHV3-23 Genes in Chronic Lymphocytic Leukemia Identifies a Disease Subset with Peculiar Clinical and Biological Features

Purpose: B-cell chronic lymphocytic leukemia (CLL) is a clinically heterogeneous disease whose outcome can be foreseen by investigating the mutational status of immunoglobulin heavy chain variable (IGHV) genes. Moreover, a different prognosis was reported for CLL expressing specific IGHV genes in the context or not of stereotyped B-cell receptors. Here we investigated novel associations between usage of specific IGHV genes and clinical features in CLL. Experimental Design: Among 1,426 CLL-specific IG-rearrangements, stereotyped B-cell receptor clusters never utilized the IGHV3-23 gene. Given this notion, this study was aimed at characterizing the IGHV3-23 gene in CLL, and identifying the properties of IGHV3-23–expressing CLL. Results: IGHV3-23 was the second most frequently used (134 of 1,426) and usually mutated (M; 109 of 134) IGHV gene in our CLL series. In the vast majority of M IGHV3-23 sequences, the configuration of the 13 amino acids involved in superantigen recognition was consistent with superantigen binding. Clinically, M IGHV3-23 CLL had shorter time-to-treatment than other M non–IGHV3-23 CLL, and multivariate analyses selected IGHV3-23 gene usage, Rai staging, and chromosomal abnormalities as independent prognosticators for M CLL. Compared with M non–IGHV3-23 CLL, the gene expression profile of M IGHV3-23 CLL was deprived in genes, including the growth/tumor suppressor genes PDCD4, TIA1, and RASSF5, whose downregulation is under control of miR-15a and miR-16-1. Accordingly, relatively higher levels of miR-15a and miR-16-1 were found in M IGHV3-23 compared with M non–IGHV3-23 CLL. Conclusions: Altogether, expression of the IGHV3-23 gene characterizes a CLL subset with distinct clinical and biological features. Clin Cancer Res; 16(2); 620–8

[1]  Susan O'Brien,et al.  Chronic lymphocytic leukemia , 2011 .

[2]  Benjamin J. Raphael,et al.  Computational identification of CDR3 sequence archetypes among immunoglobulin sequences in chronic lymphocytic leukemia. , 2009, Leukemia research.

[3]  D. Rossi,et al.  Molecular and clinical features of chronic lymphocytic leukaemia with stereotyped B cell receptors: results from an Italian multicentre study , 2009, British journal of haematology.

[4]  Anthony Frankfurter,et al.  Beta-tubulin isotype classes II and V expression patterns in nonsmall cell lung carcinomas. , 2008, Cell motility and the cytoskeleton.

[5]  Emili Montserrat,et al.  New prognostic markers in chronic lymphocytic leukemia. , 2008, Blood reviews.

[6]  Michael Hallek,et al.  Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines. , 2008, Blood.

[7]  Thomas D. Schmittgen,et al.  Analyzing real-time PCR data by the comparative CT method , 2008, Nature Protocols.

[8]  J. Salisbury,et al.  CD38 expression in chronic lymphocytic leukemia is regulated by the tumor microenvironment. , 2008, Blood.

[9]  C. Croce,et al.  MiR-15a and miR-16-1 cluster functions in human leukemia , 2008, Proceedings of the National Academy of Sciences.

[10]  Zijie Sun,et al.  Downregulation of tumor suppressor Pdcd4 promotes invasion and activates both β-catenin/Tcf and AP-1-dependent transcription in colon carcinoma cells , 2008, Oncogene.

[11]  F. Buccisano,et al.  Relevance of CD49d protein expression as overall survival and progressive disease prognosticator in chronic lymphocytic leukemia. , 2008, Blood.

[12]  T. Shanafelt,et al.  Immunoglobulin diversity gene usage predicts unfavorable outcome in a subset of chronic lymphocytic leukemia patients. , 2008, The Journal of clinical investigation.

[13]  C. Croce,et al.  MicroRNAs in the pathogeny of chronic lymphocytic leukaemia , 2007, British journal of haematology.

[14]  Nikolaos Laoutaris,et al.  Stereotyped patterns of somatic hypermutation in subsets of patients with chronic lymphocytic leukemia: implications for the role of antigen selection in leukemogenesis. , 2007, Blood.

[15]  Chris Sander,et al.  Quantitative technologies establish a novel microRNA profile of chronic lymphocytic leukemia. , 2007, Blood.

[16]  E. Ghia,et al.  Comprehensive characterization of IGHV3-21-expressing B-cell chronic lymphocytic leukemia: an Italian multicenter study. , 2007, Blood.

[17]  Nikolaos Laoutaris,et al.  Over 20% of patients with chronic lymphocytic leukemia carry stereotyped receptors: Pathogenetic implications and clinical correlations. , 2006, Blood.

[18]  G. Gaidano,et al.  Immunophenotypic characterization of IgVH3-72 B-cell chronic lymphocytic leukaemia (B-CLL). , 2006, Leukemia research.

[19]  Carl S. Goodyear,et al.  Confounding B-cell defences: lessons from a staphylococcal superantigen , 2006, Nature Reviews Immunology.

[20]  J. Minna,et al.  The Growth and Tumor Suppressor NORE1A Is a Cytoskeletal Protein That Suppresses Growth by Inhibition of the ERK Pathway* , 2006, Journal of Biological Chemistry.

[21]  G. Packham,et al.  Structural and Functional Features of the B-Cell Receptor in IgG-Positive Chronic Lymphocytic Leukemia , 2006, Clinical Cancer Research.

[22]  G. Hannon,et al.  Control of translation and mRNA degradation by miRNAs and siRNAs. , 2006, Genes & development.

[23]  Mariette Schrier,et al.  A Genetic Screen Implicates miRNA-372 and miRNA-373 As Oncogenes in Testicular Germ Cell Tumors , 2006, Cell.

[24]  K. Livak,et al.  Real-time quantification of microRNAs by stem–loop RT–PCR , 2005, Nucleic acids research.

[25]  J. Byrd,et al.  Nonstochastic pairing of immunoglobulin heavy and light chains expressed by chronic lymphocytic leukemia B cells is predicated on the heavy chain CDR3. , 2005, Blood.

[26]  Muller Fabbri,et al.  A MicroRNA signature associated with prognosis and progression in chronic lymphocytic leukemia. , 2005, The New England journal of medicine.

[27]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[28]  C. Croce,et al.  miR-15 and miR-16 induce apoptosis by targeting BCL2. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[29]  F. Slack,et al.  RAS Is Regulated by the let-7 MicroRNA Family , 2005, Cell.

[30]  J. Castle,et al.  Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs , 2005, Nature.

[31]  C. Burge,et al.  Conserved Seed Pairing, Often Flanked by Adenosines, Indicates that Thousands of Human Genes are MicroRNA Targets , 2005, Cell.

[32]  J. Bos,et al.  RAPL: taking the Rap in immunity , 2004, Nature Immunology.

[33]  Steven L. Allen,et al.  Multiple Distinct Sets of Stereotyped Antigen Receptors Indicate a Role for Antigen in Promoting Chronic Lymphocytic Leukemia , 2004, The Journal of experimental medicine.

[34]  C. Pucillo,et al.  Analysis of IgVH gene mutations in B cell chronic lymphocytic leukaemia according to antigen‐driven selection identifies subgroups with different prognosis and usage of the canonical somatic hypermutation machinery , 2004, British journal of haematology.

[35]  D. Bartel,et al.  Micromanagers of gene expression: the potentially widespread influence of metazoan microRNAs , 2004, Nature Reviews Genetics.

[36]  Bing Zhang,et al.  GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies , 2004, BMC Bioinformatics.

[37]  R. Rosenquist,et al.  VH3-21 Gene Usage in Chronic Lymphocytic Leukemia – Characterization of a New Subgroup with Distinct Molecular Features and Poor Survival , 2004, Leukemia & lymphoma.

[38]  D. Bartel MicroRNAs Genomics, Biogenesis, Mechanism, and Function , 2004, Cell.

[39]  C. Burge,et al.  Prediction of Mammalian MicroRNA Targets , 2003, Cell.

[40]  G. Juliusson,et al.  Chronic lymphocytic leukemias utilizing the VH3-21 gene display highly restricted Vlambda2-14 gene use and homologous CDR3s: implicating recognition of a common antigen epitope. , 2003, Blood.

[41]  P. Broberg Statistical methods for ranking differentially expressed genes , 2003, Genome Biology.

[42]  G. Silverman,et al.  A model B-cell superantigen and the immunobiology of B lymphocytes. , 2002, Clinical immunology.

[43]  J. Valcárcel,et al.  Molecular mechanisms of gene expression regulation by the apoptosis-promoting protein TIA-1 , 2001, Apoptosis.

[44]  A Benner,et al.  Genomic aberrations and survival in chronic lymphocytic leukemia. , 2000, The New England journal of medicine.

[45]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[46]  T. Kipps,et al.  The V4-34 encoded anti-i autoantibodies recognize a large subset of human and mouse B-cells. , 1996, Blood cells, molecules & diseases.

[47]  M. Grever,et al.  National Cancer Institute-sponsored Working Group guidelines for chronic lymphocytic leukemia: revised guidelines for diagnosis and treatment. , 1996, Blood.

[48]  S. Malek,et al.  Chronic Lymphocytic Leukemia , 2019, Methods in Molecular Biology.

[49]  J. Tost,et al.  DNA methylation: an introduction to the biology and the disease-associated changes of a promising biomarker. , 2009, Methods in molecular biology.

[50]  D C Case,et al.  Clinical staging of chronic lymphocytic leukemia. , 1977, The Journal of the Maine Medical Association.