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Prepublished online as a Blood First Edition Paper on December 12, 2002; DOI 10.1182/blood-2002-08-2432.
IMMUNOBIOLOGY
From the Molecular Immunology Group, Tenovus
Laboratory, Southampton University Hospitals Trust, Southampton,
United Kingdom; and Department of Haematology and
Oncology, Royal Bournemouth Hospital, Bournemouth, United
Kingdom.
Chronic lymphocytic leukemia (CLL) comprises 2 subsets,
distinguished by expression of unmutated or mutated VH
genes, with the former having a worse prognosis. Biased usage
of the V1-69 gene is found in unmutated cases and is
combined with selected D gene segments and JH6. It is
controversial whether this is a CLL-associated feature or mirrors the
normal B-cell pattern. Since CLL is a disease of the elderly,
where changes in the B-cell repertoire may occur, we have analyzed
V1-69 usage in the elderly (older than 75 years)
population. Using monoclonal antibody (MoAb) G6, specific for 51p1-related V1-69 alleles, we
found no increased expression with age. In 51p1-encoded
immunoglobulin M (IgM), complementarity-determining region 3 (CDR3) length and frequency of D and JH genes were
similar to those in the healthy young and distinct from those in CLL. These findings support the concept that CLL arises from B cells driven
by antigen/superantigen and is not a stochastic event in the elderly
B-cell population.
(Blood. 2003;101:3082-3084) Analysis of morphology, immunophenotype, and gene
expression of cases of chronic lymphocytic leukemia (CLL) has indicated considerable disease homogeneity.1,2 However,
investigation of the clonal immunoglobulin V gene sequences has
revealed 2 subsets, derived from B cells either before or after somatic
mutation.3-6 Since there is a powerful prognostic
difference between the 2 subsets, with the unmutated being
worse,5-7 insight into the pathogenesis of each may be
relevant for understanding malignant behavior.
CLL was known to show biased usage of the V1-69 gene
segment, ranging from 10% to 21%,3-11 and this lies
within the unmutated subset.3-5 In contrast, bias to other
VH genes, including V4-34, lies in the mutated
subset.3-5 Since bias may reflect response to a
superantigen,12 these differences point to distinct
influences on pathogenesis of the subsets.
The 51p1-related subset of the V1-69 locus is
frequently expressed in CLL5,7,11 and, in that setting, is
commonly associated with D3-3 and D3-10 genes,
JH6, and a long complementarity-determining region 3 (CDR3).5,8 There is controversy as to
whether these features are disease-associated8,13 or
simply reflect the pattern of usage in normal B cells.9
Comparisons have generally been made with the healthy adult repertoire
derived from relatively young individuals.9,13 However,
CLL presents at a mean age of approximately 60 years, and the B-cell
repertoire may change with age.14,15 Asymmetries in
VH gene usage could contribute a stochastic element to the
pattern in CLL. To resolve this question, we have investigated
expression of the 51p1 gene in a healthy elderly population
(older than 75 years) using monoclonal antibody G6 (MoAb
G6).16 We have also analyzed
51p1-derived sequences from the immunoglobulin M
(IgM) of B cells of 4 elderly individuals.
Immunophenotypic analysis of healthy elderly and young adult
blood lymphocytes
Analysis of 51p1 gene sequences
The 35 young and 42 elderly individuals had similar B-cell
numbers, and percentages of CD5+ B cells (20.5%
and 16.7%, respectively). G6 expression correlates with the
germ-line copy number of 51p1-related genes and is
absent in approximately 11% of healthy individuals (Sasso et
al20). A wide range of G6+ B cells
was found in both groups (Figure 1), with 1% to
12.6% (mean, 4.7% ± 0.45%) in the
young and 1% to 10% (mean,
4.3% ± 0.44%) in the elderly, and approximately 10% of both
cohorts being G6
Sequence analysis of the available CDR2-framework region 4 (FR4) regions of the 51p1-related genes from the
G6+ elderly group revealed all to be unmutated. A previous
study of one individual from a cohort of healthy laboratory volunteers and blood donors, assumed to be younger than 60 years, had found heterogeneity of CDR3 length (mean, 14.6 ± 4.3 codons); use of a
range of D genes; and frequent use of JH4 and
JH6.13 These, compiled with a
further 6 sequences from "healthy young"9 individuals (Figure 2A) are clearly different from
cases of CLL that have a longer CDR3 (mean, 19.3 ± 3.5 codons) and
common involvement of JH6.4,5,8
Superimposition of the sequence data from the elderly cohort indicates
a length distribution (mean, 16.6 ± 3.5 codons) similar to that of
the young group (mean, 15.1 ± 4.1 codons; P = .074),
and distinct from CLL sequences (mean, 19.3 ± 3.5 codons;
P = .0009) (Figure 2A). In fact, both healthy groups
appear heterogeneous in length, with a possibility of 2 subsets of long
and short sequence. Although numbers are small, the subsets with longer
CDR3 appear to overlap the major fraction of CLL sequences.
The CDR3 sequence includes JH-derived amino acids, and involvement of JH6 often leads to a longer CDR3.13 Analysis of JH genes combined with the 51p1 gene in the elderly shows JH4 to be most common (Figure 2B), further distinguishing normal B cells from CLL, where JH6 is preferred.4,5,8 The young cohort is again similar to the elderly, apart from a higher use of JH6 in the former. In the 22 sequences that have a CDR3 of 17 or fewer amino acids, only 4 (18.2%) use JH6. In contrast, in the 16 sequences in which the CDR3 had 18 or more amino acids, 7 (43.8%) use JH6. Therefore, there appears to be an association, although not complete, between JH6 usage and longer CDR3 sequences, as indicated previously.13 The D gene segment was identified in the elderly cohort for 26 of 38 sequences. Figure 2C indicates that the D3 (8 of 38) and D2 (8 of 38) families were the most frequently used. The young frequently used the D6 and D3 families, with both frequently using D3-22. In contrast, CLL sequences have a strikingly common use of D3-3, followed by D3-10 (Figure 2C).4,5,8 In cases of CLL involving D3-3, 8 of 13 tend to have CDR3 derived from the second reading frame with the motif (Y)DFWSGY(Y)(P).13 Since selection of D3-3 is not a feature of normal B cells in either young or elderly repertoires, this may be a disease-associated feature. However, other sequence motifs evident in 51p1-encoded CLL may not be disease-associated. Thus, a motif encoded by the third (hydrophobic) reading frame of the D2-2 gene (VVPAA), found frequently in CLL, was also found in 2 of the D2-2-derived sequences in the elderly group. Interestingly, this was rare in the young 51p1 repertoire.13 Bias to 51p1 together with selected CDR3 sequences points to a role for antigen/superantigen in driving the cell of origin of this subset of unmutated CLL. We found no evidence for an expanded pool of B cells accumulating with age that would act as precursors for transformation. Although dysregulation of immunity occurs in the elderly, with emergence of endogenous viruses23 and increasing autoreactivity,15 perturbation apparently does not occur in 51p1-encoded immunoglobulin. This supports the concept that development of CLL is not a simple stochastic event, but derives from cells driven by specific antigens, some of which are recognized by 51p1-encoded IgM. If antigen is persistent, as for certain pathogens, or autoantigens, it could contribute to tumor growth via surface IgM (sIgM)-mediated signals, known to be transmitted in the unmutated subset.2,24
We acknowledge Gavin Babbage for DNA sequencing. We are grateful to Professor Roy Jefferis (University of Birmingham Medical School, Birmingham, United Kingdom) for the kind gift of monoclonal antibody G6.
Submitted August 9, 2002; accepted December 3, 2002.
Prepublished online as Blood First Edition Paper, December 12, 2002; DOI 10.1182/blood-2002-08-2432.
Supported by Tenovus, United Kingdom.
K.N.P. and J.O. contributed equally to this work.
The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked "advertisement" in accordance with 18 U.S.C. section 1734.
Reprints: Kathleen N. Potter, Tenovus Laboratory, Tremona Rd, Southampton University Hospitals Trust, Southampton, SO16 6YD, United Kingdom; e-mail: kp1{at}soton.ac.uk.
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