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  • 1
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 76-76
    Abstract: Whilst the spectrum and clinical significance of gene mutations and immunogenetic features in common mature B-cell malignancies is well established, their incidence, biological and clinical importance in splenic marginal zone lymphoma (SMZL) remains uncertain. Accordingly we screened 175 well-characterised SMZL cases for mutations in 768 genes (Haloplex Target Enrichment System) with a known or postulated role in B-cell physiology, B-cell malignancies in general and SMZL pathophysiology in particular. After sequencing (HiSeq 2000) we achieved a mean depth across our gene panel of 297-fold (range 128-702x), with more than 85% of all bases covered at 〉 50-fold. After comprehensive filtering, 1,374 single nucleotide variants and insertions/deletions were identified. 221 genes were recurrently mutated at a gene frequency of 2-16% [n=2-28]. Sanger sequencing confirmed 86/86 selected variants in our recurrent genes, and showed 99% concordance between our Haloplex and Sanger sequencing of NOTCH2 exon 34, which was performed in all patients. Comprehensive validation of both germ-line Haloplex [n=18 patients] and Sanger sequencing established the sensitivity and specificity of our approach, and confirmed the biological importance and somatic origin of the genes described herein. To identify biologically relevant genes, we employed MutSigCV analysis, an algorithm that identifies significantly mutated genes by accounting for background mutation rate, DNA replication time and the gene size. 18 mutated genes were identified with TP53 [n=28], KLF2 [n=21] , MYD88 [n=12], NOTCH2 [n=17] , TNFAIP3 [n=13] and CCND3 [n=15] being the most significant; genes that encode components of pathways important in the regulation and differentiation of mature B-cells were also identified, including CREBBP [n=9], MAP3K6 [n=5] , KDM2B [n=7], SETD1B [n=6] , TRAF3 [n=9], ARID1A [n=10] , BIRC3 [n=3], BCL10 [n=5] , BTG1 [n=3], ATM [n=10] , NFKBIE [n=4] and DDI1 [n=4] . Then, we searched for significant pairwise gene correlations and mutually exclusive relationships between our mutated genes demonstrating the following: (1) independent events, such as MYD88, where a mutation is invariably observed as an isolated event; (2) cancer drivers that have a similar proportion of co-occurring and mutually-exclusive relationships, such as NOTCH2, TP53, TNFAIP3 and CREBBP, and (3) genes such as KLF2, CCND3 and ARID1A that have proportionally more co-occurring relationships, thus suggesting a synergistic function to promote tumorigenesis. Finally, we studied clonal evolution, by differentiating between early, clonal events, and later, subclonal mutations (ABSOLUTE algorithm), and we were able to classify clonal or subclonal mutation in 6/18 of our MutSigCV genes. Paradigmatically, we observed that all the CREBBPmutations were fully clonal. Amongst our most novel findings was KLF2, or Krüppel-like factor 2, mutations that were distributed across the entire protein, with a cluster in the C2H2 domain and were all somatically acquired. All mutations tested were clonal, significantly associated with del(7q) (P=0.001), IGHV1-2*04 gene usage (P 〈 0.001) and other gene mutations including NOTCH2 (all P 〈 0.001). Together, these observations suggest that the potential cell survival advantage provided by an early KLF2 mutation allows the acquisition of additional functionally synergistic gene mutations to promote tumourigenesis. Genes associated with reduced time to first treatment (TTFT) included KLF2 (HR 1.93, 95%CI 1.16-3.32, p=0.01), and NOTCH2 (HR 2.13, 95%CI1.26-3.58, p=0.003). TP53 mutations were associated with shorter event-free (EFS) and overall survival (OS) (HR 2.17, 95%CI 1-4.74, p=0.05 and HR 2.16, 95%CI 1.05-4.42, p=0.032, respectively). Using multivariate Cox proportional hazard analysis, which included base-line clinical varaibles, both NOTCH2 (HR 2.12, 95%CI 1.02-4.4, p=0.044) and 100% germline IGHV gene identify (HR 2.19, 95%CI 1.05-4.55, p=0.036) were independent risk factors for TTFT. Furthermore, the presence of TP53 mutation was an independent risk factor for OS (HR 2.16, 95%CI 1.05-4.43, p=0.032). In summary, we have defined the mutational landscape in a large cohort of patients with SMZL and identified novel recurrent mutations, especially involving KLF2. Importantly we show for the first time, that gene mutations and immunogenetic features have independant prognostic significance. Disclosures Anagnostopoulos: Gilead Sciences: Research Funding. Fazi:Rhizen Pharmaceuticals SA: Research Funding. Ghia:Merck: Consultancy; GSK, Roche Italia: Consultancy; Gilead, Pharmacyclics, Boehringer Ingelheim, Celgene, Roche Italia: Membership on an entity's Board of Directors or advisory committees.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
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  • 2
    In: Blood, American Society of Hematology, Vol. 129, No. 8 ( 2017-02-23), p. 1042-1045
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2017
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 3
    In: BMC Bioinformatics, Springer Science and Business Media LLC, Vol. 17, No. S5 ( 2016-6)
    Type of Medium: Online Resource
    ISSN: 1471-2105
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2016
    detail.hit.zdb_id: 2041484-5
    SSG: 12
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  • 4
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 5263-5263
    Abstract: The IGHV4-34 gene is very frequent (~10%) in the B cell receptor immunoglobulin (BcR IG) gene repertoire of chronic lymphocytic leukemia (CLL). Over 30% of IGHV4-34 CLL cases can be assigned to different subsets with stereotyped BcR IG. The largest is subset #4 which represents ~1% of all CLL and ~10% of IGHV4-34 CLL and is considered a prototype for indolent disease. The BcR IG of a great majority (~85%) of IGHV4-34 CLL cases carry a significant load of somatic hypermutation (SHM), often with distinctive SHM patterns. This holds especially true for stereotyped subsets and is suggestive of particular modes of interactions with the selecting antigen(s). In detail, subsets #4 and #16, both involving IgG-switched cases (IgG-CLL), exhibit the greatest sequence similarity in SHM profiles, whereas they differ in this respect from IgM/D subsets #29 and #201. Prompted by these observations, here we explored the extent that these subset-biased SHM profiles in different IGHV4-34 stereotyped subsets were reflected in distinct demographics, clinical presentation, genomic aberrations and outcomes. Within a multi-institutional series of 20,331 CLL patients, 1790 (8.8%) expressed IGHV4-34 BcR IG. Following established bioinformatics approaches for the identification of BcR IG stereotypy, 573/1790 IGHV4-34 CLL cases (32%) were assigned to stereotyped subsets; of these, 340 cases (19% of all IGHV4-34 CLL and 60% of stereotyped IGHV4-34 cases) belonged to subsets #4, #16, #29 and #201, all concerning IGHV-mutated CLL (M-CLL). Clinicobiological information was available for 275/340 patients: #4, n=150; #16, n=44; #29, n=39; and #201, n=42. Comparisons between subsets revealed no differences in gender and age distribution. Interestingly, however, 36-43% of each subset cases were young for CLL (defined as patients aged ≤55 years), which is higher compared to general CLL cohorts, where young patients generally account for ~25% of cases. In contrast, significant differences were identified between subsets regarding: (i) disease stage at diagnosis, with 〉 90% of IgG subsets #4 and #16 diagnosed at Binet stage A versus 83% in subset #201 and 74% in subset #29 (p=0.029); (ii) CD38 expression, ranging from 1% in subset #4 to 10% in subset #201 (p=0.013); (iii) the distribution of del(13q), peaking at a remarkable 92% in subset #29 versus only 37% in subset #16 (p 〈 0.0001). Regarding other genomic aberrations, they were either absent (NOTCH1 mutations) or rare (SF3B1 mutations, trisomy 12, del(11q), TP53 aberrations due to either del(17p) and/or TP53 mutations). The sole exception concerned a high frequency (14%) of TP53 aberrations in subset #29 (p 〈 0.05 compared with the other subsets), which is notable for M-CLL cases in general. Time to first treatment (TTFT) could be analyzed in 228 cases. IgG subsets #4 and #16 had significantly (p=0.036) longer TTFT (median TTFT: not yet reached) compared to the IgM/D subsets #29 and #201 (median TTFT: 11 and 12 years, respectively). In conclusion, we have identified distinct clinicobiological profiles for different stereotyped IGHV4-34 M-CLL subsets, highlighting subsets #4 and #16 as particularly indolent, which is important for both medical and social reasons, especially considering that a significant proportion of patients in these subsets are diagnosed at younger ages. Our findings support the notion that BcR IG stereotypy refines prognostication in CLL, superseding the crude immunogenetic distinction based on SHM load only. Additionally, the observed heterogeneity suggests that not all M-CLL are equal, prompting further research into the underlying biological background with the ultimate aim of tailored patient management. Disclosures Tausch: Gilead: Other: Travel support. Shanafelt:Glaxo-Smith_Kline: Research Funding; Genentech: Research Funding; Celgene: Research Funding; Polyphenon E Int'l: Research Funding; Hospira: Research Funding; Janssen: Research Funding; Pharmactckucs: Research Funding; Cephalon: Research Funding. Niemann:Gilead: Consultancy; Janssen: Consultancy; Roche: Consultancy; Novartis: Other: Travel grant. Langerak:InVivoScribe: Patents & Royalties: Licensing of IP and Patent on BIOMED-2-based methods for PCR-based Clonality Diagnostics.; DAKO: Patents & Royalties: Licensing of IP and Patent on Split-Signal FISH. Royalties for Dept. of Immunology, Erasmus MC, Rotterdam, NL; Roche: Other: Lab services in the field of MRD diagnostics provided by Dept of Immunology, Erasmus MC (Rotterdam). Hallek:Celgene: Honoraria, Other: Speakers Bureau and/or Advisory Boards, Research Funding; AbbVie: Honoraria, Other: Speakers Bureau and/or Advisory Boards, Research Funding; Roche: Honoraria, Other: Speakers Bureau and/or Advisory Boards, Research Funding; Boehringher Ingelheim: Honoraria, Other: Speakers Bureau and/or Advisory Boards; Pharmacyclics: Honoraria, Other: Speakers Bureau and/or Advisory Boards, Research Funding; Mundipharma: Honoraria, Other: Speakers Bureau and/or Advisory Boards, Research Funding; Janssen: Honoraria, Other: Speakers Bureau and/or Advisory Boards, Research Funding; Gilead: Honoraria, Other: Speakers Bureau and/or Advisory Boards, Research Funding. Ghia:Janssen Pharmaceuticals: Research Funding.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2015
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    detail.hit.zdb_id: 80069-7
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  • 5
    In: Blood, American Society of Hematology, Vol. 133, No. 11 ( 2019-03-14), p. 1205-1216
    Abstract: Recent evidence suggests that complex karyotype (CK) defined by the presence of ≥3 chromosomal aberrations (structural and/or numerical) identified by using chromosome-banding analysis (CBA) may be relevant for treatment decision-making in chronic lymphocytic leukemia (CLL). However, many challenges toward the routine clinical application of CBA remain. In a retrospective study of 5290 patients with available CBA data, we explored both clinicobiological associations and the clinical impact of CK in CLL. We found that patients with ≥5 abnormalities, defined as high-CK, exhibit uniformly dismal clinical outcomes, independently of clinical stage, TP53 aberrations (deletion of chromosome 17p and/or TP53 mutations [TP53abs]), and the expression of somatically hypermutated (M-CLL) or unmutated immunoglobulin heavy variable genes. Thus, they contrasted with CK cases with 3 or 4 aberrations (low-CK and intermediate-CK, respectively) who followed aggressive disease courses only in the presence of TP53abs. At the other end of the spectrum, patients with CK and +12,+19 displayed an exceptionally indolent profile. Building upon CK, TP53abs, and immunoglobulin heavy variable gene somatic hypermutation status, we propose a novel hierarchical model in which patients with high-CK exhibit the worst prognosis, whereas those with mutated CLL lacking CK or TP53abs, as well as CK with +12,+19, show the longest overall survival. Thus, CK should not be axiomatically considered unfavorable in CLL, representing a heterogeneous group with variable clinical behavior. High-CK with ≥5 chromosomal aberrations emerges as prognostically adverse, independent of other biomarkers. Prospective clinical validation is warranted before ultimately incorporating high-CK in risk stratification of CLL.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 6
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 5633-5633
    Abstract: Chronic lymphocytic leukemia (CLL) is characterized by progressive hypogammaglobulinemia that can affect one or more immunoglobulin subclasses. Although many underlying mechanisms have been suggested, the pathogenesis of this phenomenon remains to be elucidated. In the present study, we revisit hypogammaglobulinemia in CLL through a combined clinicobiological approach aiming at identifying associations with particular disease profiles that would offer pathogenetic insight and guidance for further research. The study group included 412 CLL patients with available information about serum immunoglobulins either at diagnosis (n=380) or before treatment initiation (n=32). Patient characteristics were as follows: median age: 65 years; males/females: 266/146; Binet stage A: 272/335, unmutated IGHV genes (U-CLL): 140/412 cases (34%); CD38 expression: 59/330 cases (18%); clonotypic IG of the MD or G isotype: 250 and 43 cases, respectively; isolated del(13q): 64/136 (47%); trisomy 12: 18/183 (10%); del(11q): 18/186 (10%); del(17p): 11/189 (6%); NOTCH1 del7544-45/p.P2514Rfs*4: 8/219 (4%). With a median follow up of 5 years, 152/329 cases (46%) received treatment. Decreased immunoglobulin serum levels in at least one subclass were identified in 220/412 patients (53%), as follows: (i) decreased IgM, 172/412 cases (41%); (ii) decreased IgG, 78/412 cases (19%); (iii) decreased IgA, 100/412 cases (24%). In 36/412 cases (9%), a decrease in all serum immunoglobulin subclasses was noted. No statistically significant differences were identified between patients with normal serum immunoglobulin levels versus those with hypogammaglobulinemia regarding age, gender, disease burden at diagnosis, IGHV gene mutational status, CD38 expression, cytogenetic aberrations, NOTCH1 mutations and the incidence of a second malignancy. However patients with hypogammaglobulinemia exhibited increased need for treatment compared to patients with normal serum immunoglobulins (91/175 vs 61/154 respectively, p=0.025). Among cases with hypogammaglobulinemia, 90 (41%) and 26 (12%) exhibited isolated IgM and IgA subclass deficiency, respectively; isolated IgG decrease, was relatively rare (10/220 cases, 4%). Interestingly, when comparing isolated IgA versus other subclass deficiencies, statistically significant associations were identified with (i) advanced clinical stage (Binet B/C, Rai III/IV) (p=0.002); (ii) female gender (p=0.041); and, (iii) NOTCH1 mutations (p=0.004). A propos of the latter, it is noteworthy that in 5/8 (63%) mutant NOTCH1 cases with hypogammaglobulinemia, the affected subclass was IgA. Within our cohort, we identified cases belonging to one of three different, well characterized subsets with stereotyped B-cell receptor immunoglobulin (BcR IG), namely: (1) subset #1 (clan I IGHV genes/IGKV1(D)-39): U-CLL, clinically aggressive, n=12; (2) subset #2 (IGHV3-21/IGLV3-21), mixed IGHV mutational status, noted clinical aggressiveness, n=5; and, (3) subset #4, mutated IGHV4-34/IGKV2-30 BcR IG, clinically indolent, n=12. Notably, all subset #2 cases showed low levels of at least one serum subclass, while in 4/5 and 3/5 cases, two or all three immunoglobulin subclasses were affected. Although numbers are small, the incidence of hypogammaglobulinemia in subset #2 was significantly (p 〈 0.05) higher compared to either subset #1 or subset #4). Univariate analysis revealed clinical stage, CD38 expression and IGHV mutational status as statistically important parameters (p 〈 0.05) for both time-to-first–treatment (TTFT) and overall survival (OS); in contrast, hypogammaglobulinemia had no impact either on on TTFT or OS. In multivariate analysis, clinical stage and IGHV gene mutational status retained independent significance. In conclusion, abnormalities of serum immunoglobulins are detected in CLL patients with heterogeneous clinicobiological profiles, including different disease burden (clinical stage), cytogenetic aberrations and IGHV gene mutational status. However, certain observations reported herein, in particular the high incidence of hypogammaglobulinemia in subset #2 and the association of NOTCH1 mutations with IgA subclass deficiency, are noteworthy and indicate the need for research towards unraveling causal mechanisms among the observed interwined events. Disclosures No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2014
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 7
    In: The Journal of Pathology, Wiley, Vol. 243, No. 4 ( 2017-12), p. 403-406
    Type of Medium: Online Resource
    ISSN: 0022-3417
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    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 1475280-3
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  • 8
    In: The Journal of Pathology, Wiley, Vol. 247, No. 4 ( 2019-04), p. 416-421
    Abstract: The B cell receptor immunoglobulin (Ig) gene repertoires of marginal zone (MZ) lymphoproliferations were analyzed in order to obtain insight into their ontogenetic relationships. Our cohort included cases with MZ lymphomas ( n = 488), i.e. splenic (SMZL), nodal (NMZL) and extranodal (ENMZL), as well as provisional entities ( n = 76), according to the WHO classification. The most striking Ig gene repertoire skewing was observed in SMZL. However, restrictions were also identified in all other MZ lymphomas studied, particularly ENMZL, with significantly different Ig gene distributions depending on the primary site of involvement. Cross‐entity comparisons of the MZ Ig sequence dataset with a large dataset of Ig sequences (MZ‐related or not; n = 65 837) revealed four major clusters of cases sharing homologous (‘public’) heavy variable complementarity‐determining region 3. These clusters included rearrangements from SMZL, ENMZL (gastric, salivary gland, ocular adnexa), chronic lymphocytic leukemia, but also rheumatoid factors and non‐malignant splenic MZ cells. In conclusion, different MZ lymphomas display biased immunogenetic signatures indicating distinct antigen exposure histories. The existence of rare public stereotypes raises the intriguing possibility that common, pathogen‐triggered, immune‐mediated mechanisms may result in diverse B lymphoproliferations due to targeting versatile progenitor B cells and/or operating in particular microenvironments. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 0022-3417 , 1096-9896
    URL: Issue
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    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1475280-3
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  • 9
    In: Cancer Genetics, Elsevier BV, Vol. 207, No. 6 ( 2014-06), p. 281-283
    Type of Medium: Online Resource
    ISSN: 2210-7762
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 2594323-6
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  • 10
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 23, No. 17 ( 2017-09-01), p. 5292-5301
    Abstract: Purpose: We sought to investigate whether B cell receptor immunoglobulin (BcR IG) stereotypy is associated with particular clinicobiological features among chronic lymphocytic leukemia (CLL) patients expressing mutated BcR IG (M-CLL) encoded by the IGHV4-34 gene, and also ascertain whether these associations could refine prognostication. Experimental Design: In a series of 19,907 CLL cases with available immunogenetic information, we identified 339 IGHV4-34–expressing cases assigned to one of the four largest stereotyped M-CLL subsets, namely subsets #4, #16, #29 and #201, and investigated in detail their clinicobiological characteristics and disease outcomes. Results: We identified shared and subset-specific patterns of somatic hypermutation (SHM) among patients assigned to these subsets. The greatest similarity was observed between subsets #4 and #16, both including IgG-switched cases (IgG-CLL). In contrast, the least similarity was detected between subsets #16 and #201, the latter concerning IgM/D-expressing CLL. Significant differences between subsets also involved disease stage at diagnosis and the presence of specific genomic aberrations. IgG subsets #4 and #16 emerged as particularly indolent with a significantly (P & lt; 0.05) longer time-to-first-treatment (TTFT; median TTFT: not yet reached) compared with the IgM/D subsets #29 and #201 (median TTFT: 11 and 12 years, respectively). Conclusions: Our findings support the notion that BcR IG stereotypy further refines prognostication in CLL, superseding the immunogenetic distinction based solely on SHM load. In addition, the observed distinct genetic aberration landscapes and clinical heterogeneity suggest that not all M-CLL cases are equal, prompting further research into the underlying biological background with the ultimate aim of tailored patient management. Clin Cancer Res; 23(17); 5292–301. ©2017 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
    detail.hit.zdb_id: 1225457-5
    detail.hit.zdb_id: 2036787-9
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