Bikos, Vasilis

Abstract Abstract 2638 We recently demonstrated that over 30% of cases with splenic marginal-zone lymphoma (SMZL) express distinctive immunoglobulin (IG) receptors that utilize a single polymorphic variant of the IGHV1-2 gene (IGHV1-2*04) and also exhibit restricted antigen-binding site motifs and precise targeting of somatic hypermutation (SHM). On these grounds, we proposed the existence of molecular subtypes of SMZL defined by immunogenetic analysis of the IG receptors with implications for selection by specific (super) antigenic element(s) in the development of at least a major subset of SMZL. In order to gain insight as to whether antigen involvement is relevant only prior to the malignant transformation or if it continues to affect the SMZL clone itself leading to intraclonal diversification (ID) through ongoing SHM, we conducted a large-scale subcloning study of rearranged IG heavy variable genes, in a total of 471 subcloned sequences from 22 SMZL cases. The analysis was intentionally biased towards cases expressing IGHV1-2*04 receptors that exhibit a series of distinctive immunogenetic features, including biased usage of the IGHD3-3 and IGHD3-10 genes, unusually long heavy complementarity-determining region 3 (VH CDR3) and minimally/borderline mutated status (identity to the germline in the range of 97–99.6%). Hence, the study group included 16 IGHV1-2*04 cases and 6 cases utilizing other IGHV genes. PCR reactions were run using the high-fidelity Accuprime Pfx polymerase and a median of 21 (9–46) colonies/case were analyzed. All “non-ubiquitous” sequence changes from the germline were evaluated and recorded as follows: (i) unconfirmed mutation (UCM) - a mutation observed in only one subcloned sequence from the same sample; (ii) confirmed mutation (CM) - a mutation observed in more than one but in less than all subcloned sequences from the same sample. Overall, 15/22 cases (68%) carried intraclonally diversified IGHV-D-J genes with CMs amongst subclones, of which 12 utilized the IGHV1-2*04 gene whereas the remaining 3 utilized other IGHV genes. The high frequency of ID within the IGHV1-2*04 group, ranging from limited to (often) pronounced, is noteworthy in view of the generally low level of SHM among IGHV1-2*04 receptors. Detailed analysis of the distribution and molecular features of CMs revealed: (i) restricted ID patterns, in the sense of identical mutations in certain VH positions among subclones of different cases; (ii) “hotspots” of ID, i.e. particular codons exhibiting intense ongoing mutational activity (especially notable in this respect was codon 39 in VH FR2); (iii) a predominance of conservative amino acid changes, characterized by somatically introduced amino acid belonging to the same biochemical category as the mutating amino acid; and (iv) limited diversification within VH CDR3. Additionally, in 7/12 IGHV1-2*04 cases with CMs, identified ID patterns delineate distinct “clusters” of subcloned sequences with unique as well as shared mutations and closely similar if not identical VH CDR3s (including identical VH CDR3 length), pointing to “branching” of the malignant clone into distinct subclones, perhaps able to evolve along related yet distinct pathways. In conclusion, our study indicates that the SHM mechanism may continuously operate in certain subsets of SMZL, especially those expressing IGHV1-2*04 receptors. Although the precise timing of interactions with antigen(s) and their functional implications for SMZL evolution will likely remain difficult to define accurately, the results reported here suggest a role for persistent antigenic stimulation, at least for certain immunogenetically defined subsets of SMZL. Disclosures: Mollejo: Red Temática de Investigación Cooperativa en Cancer (RETICC): Research Funding; Asociación Española contra el Cancer: Research Funding.

Abstract Abstract 634 We systematically explored the immunoglobulin (IG) gene repertoire in 337 cases with splenic marginal-zone lymphoma (SMZL), by far the largest series yet. To resolve classification uncertainties, we included in the analysis only cases with a diagnosis of SMZL based on spleen histopathological findings or cases fulfilling the 2008 SBLG criteria (Matutes et al. Leukemia 2008). We here report that the IG heavy variable (IGHV) gene repertoire in SMZL is remarkably biased, with only three genes accounting for 45.8% of cases (IGHV1-2, 24.9%; IGHV4-34, 12.8%; IGHV3-23: 8.1%, respectively), significantly extending previous similar observations. Particularly for the IGHV1-2 gene, strong biases became evident at the level of utilization of different alleles, since 79/86 rearrangements (92%) utilized allele *04 vs. only 7/86 rearrangements (8%) that utilized allele *02. This is noteworthy, taking into consideration that these two alleles differ in a single nucleotide, leading to a single amino acid change in framework region (FR)-3. The repertoire biases became more pronounced when the analysis was focused on 171 rearrangements from 163 cases classified as SMZL based on splenic histopathology, according to the 2008 WHO criteria. Within this subgroup, 56/171 cases (32.7%) utilized IGHV1-2*04. Noticeably, only 1/17 cases with a diagnosis of splenic diffuse red pulp lymphoma utilized IGHV1-2*04 (p<0.02 for comparison to SMZL). The IGHV1-2*04 rearrangements carried significantly longer heavy complementarity-determining region-3 (VH CDR3) than all other cases (median, 22 vs. 17 amino acids, respectively; p<0.001). In addition, 52/79 IGHV1-2*04 cases (65.8%) employed one of the IGHD3-3, IGHD3-9 or IGHD3-10 genes. In 28/32 IGHV1-2*04/IGHD3 rearrangements, the IGHD gene was utilized in the same reading frame, leading to VH CDR3s with common “IGHD-derived” amino acid (AA) motifs. Using bioinformatics tools previously applied to CLL, biased associations of IGHV, IGHD and IGHJ genes with stereotyped VH CDR3s were identified in 25/345 sequences (7.2%). Noticeably, only 10/28 IGHV1-2*04/IGHD3-3 rearrangements with “IGHD-derived” VH CDR3 amino acid motifs could be assigned to “stereotyped” clusters. Despite exhibiting restricted usage of the IGHV1-2*04 and IGHD3-3 genes leading to great overall VH domain similarity, the remaining cases did not fulfill the established criteria for VH CDR3 “stereotypy”, as defined in other lymphoid malignancies, namely CLL. Based on somatic hypermutation (SHM) analysis, the sequences were divided into three groups: (i) truly unmutated (100% germline identity, GI): 46/345 sequences (13.3%); (ii) minimally/borderline mutated (97-99.9% GI): 130/345 sequences (37.7%); and (iii) significantly mutated (<97% identity): 169/345 sequences (49%). At the individual gene level, the distribution of rearrangements of IGHV genes according to SHM status varied significantly. In particular, 56/79 IGHV1-2*04 rearrangements (71%) were predominantly “borderline mutated”, whereas the majority (>67%) of rearrangements utilizing the IGHV3-23, IGHV3-30 and IGHV3-7 genes were “significantly mutated”; finally, IGHV4-34 gene rearrangements were evenly distributed to the three mutational subgroups. Shared (“stereotyped”) AA changes were identified for IGHV1-2*04 rearrangements, with certain FR2 and FR3 codons emerging as “hotspots” for recurrent, conservative AA changes. In conclusion, we demonstrate that more than 30% of cases with a histopathological diagnosis of SMZL on the spleen express IGHV1-2*04 receptors with unusually long VH CDR3s, biased usage of the IGHD3-3 gene, leading to shared “IGHD-derived” VH CDR3 motifs, and very precise molecular features of SHM. The biased expression of a distinctive germline-encoded VH specificity might be considered as evidence for heavy chain dominance in the clonogenic IG receptors in SMZL. These findings allude to selection by specific (super)antigenic element(s) in the pathogenesis of at least a major subset of SMZL. In addition, they raise the intriguing possibility that certain subtypes of SMZL could derive from progenitor cell populations adapted to particular antigenic challenges through cellular selection of VH domain specificities. Disclosures: No relevant conflicts of interest to declare.

Abstract The existence of stereotyped B cell receptor immunoglobulins (BcR IG) in chronic lymphocytic leukemia (CLL) strongly implicated antigen selection in disease ontogeny. We have previously shown that the stereotyped fraction encompasses ~30% of all CLL and includes multiple subsets with distinct BcR IG configuration and variable size. Eventually, certain major subsets emerged as distinct clinical entities, exemplified by subset #2 (IGHV3-21/IGLV3-21, ~2.5-3% of all CLL, mixed somatic hypermutation (SHM) status) of a particularly aggressive clinical course, thus, sharply contrasting subset #4 (IGHV4-34/IGKV2-30, ~1% of all CLL, mutated IGHV genes, M-CLL), a prototype for indolent disease. Here, taking advantage of a multi-institutional cohort of 21,123 CLL IG rearrangements, almost three times the size of the largest previous study, and the availability of validated, purpose-built immunoinformatics methods, we reappraised BcR IG stereotypy especially focusing on major subsets and the degree of their sequence similarity to related minor subsets. Stereotypy discovery was performed with ARResT/Teiresias, while stereotypy assignment to existing subsets previously deemed as major was performed with ARResT/AssignSubsets (http://bat.infspire.org/arrest/). In the present study, a subset was characterized as major if representing > 0.2% of the cohort (i.e. at least 50 cases). Minor subsets closely related to major ones (termed satellite) were identified applying the following criteria: (i) usage of IGHV genes from the same phylogenetic clan; (ii) VH CDR3 length difference ranging from -2 to +2 compared to the respective major subset; (iii) shared VH CDR3 sequence motif; and, (iv) -2 to +2 difference in the offset of the VH CDR3 motif compared to the respective major subset. In total, 7378/21123 (34.9%) IG sequences were grouped into subsets with stereotyped VH CDR3, with the previously characterized 19 major subsets accounting collectively for 2594 sequences (12.3%) of the cohort: of these, 12 included cases with unmutated IGHV genes (U-CLL), 6 concerned M-CLL and 1 (subset #2) included cases with mixed SHM status. Four additional subsets exceeded 50 cases, and, thus, were also considered as 'major'. These results reinforce the notion that not all CLL will end up being stereotyped but rather that a plateau for stereotypy exists at ~1/3 of the cohort. Subset #2 was the largest subset (n=572, 2.7%), while subset #1 (IGHV clan I (IGHV1,5,7 subgroups)/IGKV1(D)-39) was the most frequent subset within U-CLL (n=515, 2.4%) and subset #4 the most common M-CLL subset (n=192, 0.9%), hence displaying remarkable consistency regarding their frequency in all cohorts published since the pioneering studies. Altogether, Teiresias and AssignSubsets gave concordant results for previously identified major subsets, illustrating the validity of our approach. Satellite subsets were sought for individually for each major subset. In general, few satellite subsets were identified, most of which concerned U-CLL major subsets. That notwithstanding, notable cases of satellite subsets were exemplified by major subset #1 and its satellite subset #99 from which it differed only in VH CDR3 length (13 aminoacids in subset #1 versus 14 in subset #99); interestingly, both subsets displayed equally aggressive clinical course. Another example concerned subset #8 (IGHV4-39/IGKV1(D)-39, U-CLL), an aggressive subset with very high risk for Richter's transformation, that, except for a one-aminoacid difference in VH CDR3 length, was otherwise identical to satellite subset #215, also displaying clinical aggressiveness. Overall, our results confirm that major subsets can be robustly identified and are consistent in relative size, hence representing distinct disease subgroups amenable to compartmentalized research with the potential of overcoming the pronounced heterogeneity of CLL. Most major subsets display unique sequence motifs, however satellite subsets exist, especially within U-CLL. Considering ever-increasing evidence that major stereotyped subsets may represent distinct disease subgroups, the existence of satellite subsets reveals a novel aspect of repertoire restriction and has implications for refined molecular classification of CLL. Disclosures Shanafelt: Genentech: Research Funding; GlaxoSmithkKine: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Pharmacyclics: Research Funding; Cephalon: Research Funding; Hospira: Research Funding. Gaidano:Roche: Consultancy, Honoraria, Speakers Bureau; Karyopharm: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau. Niemann:Janssen: Consultancy; Abbvie: Consultancy; Roche: Consultancy; Gilead: Consultancy. Langerak:F. Hofmann-LaRoche, Genentech: Research Funding; InVivoScribe Technologies: Patents & Royalties: Royalties are provided to European Network (EuroClonality). Jaeger:Roche: Honoraria, Research Funding; Celgene: Honoraria, Research Funding. Kater:Celgene: Research Funding; Gilead: Research Funding; Janssen: Consultancy, Research Funding; Roche: Consultancy, Research Funding; Abbvie: Consultancy, Research Funding. Stilgenbauer:Amgen: Consultancy, Honoraria, Other: Travel grants, Research Funding; Gilead: Consultancy, Honoraria, Other: Travel grants , Research Funding; Genentech: Consultancy, Honoraria, Other: Travel grants , Research Funding; Celgene: Consultancy, Honoraria, Other: Travel grants , Research Funding; Boehringer Ingelheim: Consultancy, Honoraria, Other: Travel grants , Research Funding; Genzyme: Consultancy, Honoraria, Other: Travel grants , Research Funding; AbbVie: Consultancy, Honoraria, Other: Travel grants, Research Funding; GSK: Consultancy, Honoraria, Other: Travel grants , Research Funding; Janssen: Consultancy, Honoraria, Other: Travel grants , Research Funding; Mundipharma: Consultancy, Honoraria, Other: Travel grants , Research Funding; Novartis: Consultancy, Honoraria, Other: Travel grants , Research Funding; Pharmacyclics: Consultancy, Honoraria, Other: Travel grants , Research Funding; Hoffmann-La Roche: Consultancy, Honoraria, Other: Travel grants , Research Funding; Sanofi: Consultancy, Honoraria, Other: Travel grants , Research Funding. Hallek:Gilead: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; F. Hoffmann-LaRoche: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Mundipharma: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Janssen-Cilag: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau. Rosenquist:Gilead Sciences: Speakers Bureau. Ghia:Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Roche: Honoraria, Research Funding; Adaptive: Consultancy; Abbvie: Consultancy, Honoraria. Stamatopoulos:Novartis: Honoraria, Research Funding; Abbvie: Honoraria, Other: Travel expenses; Janssen: Honoraria, Other: Travel expenses, Research Funding; Gilead: Consultancy, Honoraria, Research Funding.