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  • 1
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 5453-5453
    Abstract: Stereotyped subset #2 (IGHV3-21/IGLV3-21) is the largest subset in CLL (~3% of all patients). Membership in subset #2 is clinically relevant since these patients experience an aggressive disease irrespective of the somatic hypermutation (SHM) status of the clonotypic immunoglobulin heavy variable (IGHV) gene. Low-throughput evidence suggests that stereotyped subset #169, a minor CLL subset (~0.2% of all CLL), resembles subset #2 at the immunogenetic level. More specifically: (i) the clonotypic heavy chain (HC) of subset #169 is encoded by the IGHV3-48 gene which is closely related to the IGHV3-21 gene; (ii) both subsets carry VH CDR3s comprising 9-amino acids (aa) with a conserved aspartic acid (D) at VH CDR3 position 3; (iii) both subsets bear light chains (LC) encoded by the IGLV3-21 gene with a restricted VL CDR3; and, (iv) both subsets have borderline SHM status. Here we comprehensively assessed the ontogenetic relationship between CLL subsets #2 and #169 by analyzing their immunogenetic signatures. Utilizing next-generation sequencing (NGS) we studied the HC and LC gene rearrangements of 6 subset #169 patients and 20 subset #2 cases. In brief, IGHV-IGHD-IGHJ and IGLV-IGLJ gene rearrangements were RT-PCR amplified using subgroup-specific leader primers as well as IGHJ and IGLC primers, respectively. Libraries were sequenced on the MiSeq Illumina instrument. IG sequence annotation was performed with IMGT/HighV-QUEST and metadata analysis conducted using an in-house, validated bioinformatics pipeline. Rearrangements with identical CDR3 aa sequences were herein defined as clonotypes, whereas clonotypes with different aa substitutions within the V-domain were defined as subclones. For the HC analysis of subset #169, we obtained 894,849 productive sequences (mean: 127,836, range: 87,509-208,019). On average, each analyzed sample carried 54 clonotypes (range: 44-68); the dominant clonotype had a mean frequency of 99.1% (range: 98.8-99.2%) and displayed considerable intraclonal heterogeneity with a mean of 2,641 subclones/sample (range: 1,566-6,533). For the LCs of subset #169, we obtained 2,096,728 productive sequences (mean: 299,533, range: 186,637-389,258). LCs carried a higher number of distinct clonotypes/sample compared to their partner HCs (mean: 148, range: 110-205); the dominant clonotype had a mean frequency of 98.1% (range: 97.2-98.6%). Intraclonal heterogeneity was also observed in the LCs, with a mean of 6,325 subclones/sample (range: 4,651-11,444), hence more pronounced than in their partner HCs. Viewing each of the cumulative VH and VL CDR3 sequence datasets as a single entity branching through diversification enabled the identification of common sequences. In particular, 2 VH clonotypes were present in 3/6 cases, while a single VL clonotype was present in all 6 cases, albeit at varying frequencies; interestingly, this VL CDR3 sequence was also detected in all subset #2 cases, underscoring the molecular similarities between the two subsets. Focusing on SHM, the following observations were made: (i) the frequent 3-nucleotide (AGT) deletion evidenced in the VH CDR2 of subset #2 (leading to the deletion of one of 5 consecutive serine residues) was also detected in all subset #169 cases at subclonal level (average: 6% per sample, range: 0.1-10.8%); of note, the 5-serine stretch is also present in the germline VH CDR2 of the IGHV3-48 gene; (ii) the R-to-G substitution at the VL-CL linker, a ubiquitous SHM in subset #2 and previously reported as critical for IG self-association leading to cell autonomous signaling in this subset, was present in all subset #169 samples as a clonal event with a mean frequency of 98.3%; and, finally, (iii) the S-to-G substitution at position 6 of the VL CDR3, present in all subset #2 cases (mean : 44.2% ,range: 6.3-87%), was also found in all #169 samples, representing a clonal event in 1 case (97.2% of all clonotypes) and a subclonal event in the remaining 5 cases (mean: 0.6%, range: 0.4-1.1%). In conclusion, the present high-throughput sequencing data cements the immunogenetic relatedness of CLL stereotyped subsets #2 and #169, further highlighting the role of antigen selection throughout their natural history. These findings also argue for a similar pathophysiology for these subsets that could also be reflected in a similar clonal behavior, with implications for risk stratification. Disclosures Sutton: Abbvie: Honoraria; Gilead: Honoraria; Janssen: Honoraria. Stamatopoulos:Abbvie: Honoraria, Research Funding; Janssen: Honoraria, Research Funding. Chatzidimitriou:Janssen: Honoraria.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 2
    In: Seminars in Cancer Biology, Elsevier BV, Vol. 23, No. 6 ( 2013-12), p. 399-409
    Type of Medium: Online Resource
    ISSN: 1044-579X
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2013
    detail.hit.zdb_id: 1471735-9
    SSG: 12
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  • 3
    In: Journal of Visualized Experiments, MyJove Corporation, , No. 141 ( 2018-11-26)
    Type of Medium: Online Resource
    ISSN: 1940-087X
    Language: English
    Publisher: MyJove Corporation
    Publication Date: 2018
    detail.hit.zdb_id: 2259946-0
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  • 4
    In: The Lancet Haematology, Elsevier BV, Vol. 1, No. 2 ( 2014-11), p. e74-e84
    Type of Medium: Online Resource
    ISSN: 2352-3026
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
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  • 5
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 3908-3908
    Abstract: Abstract 3908 Chronic lymphocytic leukemia (CLL) exhibits a remarkably skewed immunoglobulin (IG) gene repertoire mainly evident in the existence of subsets of patients with quasi-identical IGs in their B cell receptors (BcRs), collectively accounting for one-third of CLL patients. BcR stereotypy is strongly suggestive of clonal selection by a restricted set of antigens. However, it is not yet clear at which phase of clonal evolution these antigens act, or whether the stimulation is persistent. Furthermore, the possible role of antigens in the selection and activation of cognate T lymphocytes remains obscure yet highly relevant, given recent data about T cell interactions with CLL B cells and their tolerized behavior. Here, we analyzed the repertoire of T cell receptor β chain genes (TRB) in CLL expressing stereotyped IGHV4–34/IGKV2–30 BcR IGs (subset #4), which exhibit a series of immunogenetic features, such as pronounced intraclonal diversification of IG genes, suggestive of ongoing interactions with (auto)antigens. Furthermore, subset #4 CLL cells have distinctive functional responses to BcR and/or Toll-like receptor triggering, rendering this subset a paradigmatic example for seeking evidence of antigen selection also within the T cell population. We analyzed 18 peripheral blood samples of 12 untreated subset #4 patients (samples from different time points were analyzed in 4 cases). No case had evidence of infection at sampling. PCR amplicons for TRBV-TRBD-TRBJ gene rearrangements (BIOMED2 protocol) were subcloned by transformation into E. coli/TOP10F bacteria and randomly chosen individual colonies were subjected to Sanger sequencing. Only productive rearrangements (n=320, ranging from 14–52/case) were analyzed. All cases were found to carry clusters of identical rearrangements (≥2) corresponding to distinct clonotypes; the number of expanded clonotypes/case ranged from 1–13 (median 5). The relative frequency of each clonotype/case was determined by dividing the number of the corresponding identical sequences by the total number of subcloned sequences analyzed. The frequency of the most expanded (immunodominant) clonotype/case ranged from 8.1–70.4%. Collectively, the frequency of all expanded clonotypes/case ranged from 29.7–93.3%. In 2/4 cases that were analyzed at different time points, at least one clonotype was found to persist. Importantly, cluster analysis of the TRB CDR3 sequences of all cases identified ‘public’ clonotypes: 2 identical clonotypes (TRBV15*02/TRBD1*01/TRBJ2–2*01 and TRBV30*01/TRBD1*01/TRBJ2–2*01) each shared by a pairs of different patients and a highly similar clonotype shared by an additional pair of patients. In conclusion, the present study provides clear evidence of repertoire skewing among T cells in CLL patients belonging to subset #4, strongly supporting antigen selection. The finding of ‘public’ clonotypes raises the possibility that shared antigenic epitopes may be relevant for clonal selection of T cells in different subset #4 cases. Whether the antigens that drive T cell repertoire restriction are identical/related to those implicated in the selection of CLL progenitors of subset #4 or even the malignant cells themselves or whether they are tumor-associated antigens remains to be clarified. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 6
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 3005-3005
    Abstract: Until quite recently, the prevailing view, adopted by the WHO 2008 Classification, was that mantle-cell lymphoma (MCL) originates from a peripheral B cell located within the inner mantle zone, an area comprised of naïve pre-germinal center (GC) type B cells. However, this notion has been challenged by molecular and functional evidence. Indeed, MCL is characterized by a skewed repertoire of immunoglobulin heavy variable (IGHV) genes and by some imprint of somatic hypermutation (SHM) in the clonotypic IGHV genes of the great majority (~70%) of cases, indicating antigen selection. Furthermore, both relapsed/refractory and treatment-naïve patients with MCL exhibit remarkable responses to B-cell receptor signaling inhibitors, strongly supporting a role for microenvironmental triggering in the natural history of MCL. In the present study, we sought to obtain additional insight into MCL ontogeny through a combined morphologic, immunohistochemical and immunogenetic analysis of 230 patients with a diagnosis of MCL according to the 2008 WHO Classification criteria. The study group included 139 nodal, 32 extranodal, 18 primary splenic MCLs as well as 41 bone marrow biopsies (BMB) infiltrated by MCL. Morphologically, 144/206 (70%) cases were ascribed to the common variety, while 48/206 (23.3%) and 14/206 (6.7%) were characterized as blastoid or pleomorphic variant, respectively. The immunohistochemical analysis (on paraffin sections) focused on CD27, DBA.44 and IRF4 (MUM1), markers not normally expressed by the naïve pre-germinal centre B-cell of the inner mantle zone. The results were as follows: (i) 117/214 (54.7%) cases positive for CD27 expression; (ii) 18/176 (10.2%) cases positive for DBA.44; (iii) 53/98 (54%) cases positive for IRF4. Amongst CD27+ cases, 10/86 (11.6%) were also positive for DBA.44, whereas 27/51 (52.9%) were also positive for IRF4. Immunogenetic information regarding IGHV-IGHD-IGHJ gene rearrangements was available for 167 cases of the study. Fifty of 167 cases (30%) carried IGHV genes with no SHM (100% identity to the germline, GI), whereas the remaining 117 cases (70%) bore some imprint of SHM: in particular, 95/167 cases (56.8%) carried IGHV genes with 97-99.9% GI, while 22/167 cases (13.2%) carried IGHV genes with 〈 97% GI. In keeping with the literature, the IGHV gene repertoire of the present cohort was remarkably biased, with the IGHV3-21, IGHV4-34, IGHV3-23, IGHV1-8 and IGHV5-51 genes accounting for 51% of cases (85/167). The following noteworthy observations were made from the combined assessment of morphological, immunohistochemical and immunogenetic results. (1) DBA.44 was not detected in any of the 21 extranodal MCL cases analyzed, was rare in nodal MCL (5/108, 4.6%), whereas, in contrast, was significantly enriched among primary splenic MCL (6/14, 42.8%; p 〈 0.01 for both comparisons). (2) Unexpectedly, CD27 expression was more prevalent among cases with minimal/borderline SHM (56/91, 61.5%) or no SHM (100% GI: 23/46, 50%), whereas it was less frequent among cases with a significant SHM load ( 〈 97% GI: 6/20, 30%; p=0.01 for comparison to 100% GI cases). (3) CD27 expression was significantly (p 〈 0.05) more frequent amongst cases classified as pleomorphic (11/14 cases, 78.6%) versus either blastoid (38/46 cases, 60.8%) or common (65/131 cases, 49.6%). (4) IRF4 was detected in cases from all SHM categories: 10/16 (62.5%) cases with 100 GI%, 14/30 (46.6%) cases with 97-99.9% GI and 3/6 (50%) cases with 〈 97% GI. (5) Blastoid cytology was less frequent in primary splenic MCL (2/18 cases, 11.1%) compared to either nodal (33/126 cases, 26.2%) or extranodal MCL (8/28 cases, 28.5%), however the difference did not reach significance likely due to small numbers. In conclusion, we document the remarkable immunohistochemical and immunogenetic heterogeneity of MCL. Certain profiles, identified here for the first time, are in sharp contrast to those of the naïve pre-germinal centre B-cell of the inner mantle zone (IG-unmutated, CD27-, IRF4-, DBA.44-), which is the postulated MCL progenitor according to the WHO 2008 classification. These findings strongly support antigen drive in a significant fraction of MCL cases. Furthermore, they raise the intriguing possibility that many ontogenetic pathways may give rise to MCL or, alternatively, that several types of normal B cells may serve as MCL progenitors. Disclosures Stamatopoulos: Janssen Pharmaceuticals: Honoraria, 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
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  • 7
    In: Blood, American Society of Hematology, Vol. 127, No. 8 ( 2016-02-25), p. 1007-1016
    Abstract: Whole-exome sequencing of CLL patients who relapsed after FCR treatment revealed frequent mutations in RPS15. RPS15 mutations are likely to be early clonal events and confer poor prognosis.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
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  • 8
    In: Blood, American Society of Hematology, Vol. 126, No. 8 ( 2015-08-20), p. 1043-1044
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2015
    detail.hit.zdb_id: 1468538-3
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  • 9
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 3199-3199
    Abstract: The classification of CLL patients according to the somatic hypermutation status (SHM) of the immunoglobulin heavy variable (IGHV) genes, namely mutated (M-CLL) versus unmutated (U-CLL), reflects fundamental differences in disease biology and clinical course. Realizing this, here we followed a compartmentalized approach and addressed the issue of prognostication separately for M-CLL and U-CLL. In a multi-institutional cohort of 2366 patients [M-CLL, n=1364 (58%); U-CLL, n=1002 (42%)] consolidated within ERIC, the European Initiative in CLL, we assessed the clinical impact of 'traditional' (age and clinical stage at the time of diagnosis, gender, CD38 expression, FISH detected abnormalities included in the Döhner hierarchical model of cytogenetic aberrations), and novel prognosticators (recurrent mutations within the TP53, SF3B1, NOTCH1, MYD88, and BIRC3 genes; IGHV gene usage; membership in stereotyped subsets) within M-CLL and U-CLL. Our statistical approach was based both on Cox regression models and recursive partitioning algorithms; internal validation was performed via bootstrapping procedures. Given the retrospective nature of our study, time-to-first-treatment (TTFT) was the primary endpoint. As expected, M-CLL exhibited significantly longer TTFT compared to U-CLL [median TTFT: not yet reached (M-CLL) vs 1.9 years (95% CI: 0.01-12.3 years, U-CLL), p 〈 0.0001]. Advanced clinical stages (Binet B-C) were associated with shorter TTFT in both M-CLL and U-CLL; a significantly worse outcome was also identified for Binet C versus Binet B cases (p 〈 0.0001). Binet A patients received our special focus, representing 90% and 67% of M-CLL and U-CLL studied cases, respectively. Amongst Binet A M-CLL cases, TP53 aberrations [TP53abs, deletions of chromosome 17p, del(17p) and/or TP53 mutations], stereotyped subset #2 membership and trisomy 12 were identified as equally adverse prognostic indicators [median TTFT: 5.5 (95% CI: 0.2-12.8), 4 (95% CI: 0.6-6.8) and 7.3 (95% CI: 0.7-13.4) years, respectively; p-value: non-significant when applying the log-rank test for all paired comparisons); of note, TP53abs were mutually exclusive with the other two features. Amongst Binet A U-CLL cases, TP53abs, SF3B1 mutations and deletion of chromosome 11q [del(11q)] had an overall similar adverse impact [median TTFT for TP53abs, SF3B1 mutations and del(11q): 1.8 (95% CI: 0.01-4.4), 2 (95% CI: 0.01-7.7) and 2.1 (95% CI: 0.01-8.1) years, respectively, p-value: non-significant when applying the log-rank test for all paired comparisons]. Within the remaining Binet A U-CLL cases [i.e. those lacking TP53abs and/or SF3B1 mutations and/or del(11q)] , the only parameter associated with shorter TTFT was male gender (median TTFT: 3.5 years, 95% CI: 0.5-8.1 years). Based on these findings, we developed two prognostic indices for assessing TTFT tailored specifically to M-CLL and U-CLL, respectively. Within M-CLL (Figure 1A), 4 subgroups were identified: (i) very high risk: Binet C with identical 5- and 10-year treatment-probability (TP) of 92%; (ii) high risk: Binet B, 5y-TP and 10y-TP: 64% and 84%, respectively; (iii) intermediate risk: Binet A with one of the following: TP53abs or +12 or subset #2 membership, 5y-TP and 10y-TP: 40% and 55%, respectively; and (iv) low risk: Binet A nonTP53abs/+12/subset#2, 5y-TP and 10y-TP: 12% and 25%, respectively. Within U-CLL (Figure 1B), 5 subgroups were identified: (i) very high risk: Binet C with 5- and 10-year TP of 100%; (ii) high risk: Binet B, identical 5y-TP and 10y-TP: 90% and 100%, respectively; (iii) intermediate risk: Binet A with one of the following: TP53abs or SF3B1 mutations or del(11q), 5y-TP and 10y-TP: 78% and 98%, respectively; (v) low risk: Binet A, male nonTP53abs/SF3B1mut/del(11q), 5y-TP and 10y-TP: 65% and 85%, respectively and (iv) very low risk: Binet A, female nonTP53abs/SF3B1mut/del(11q), 5y-TP and 10y-TP: 45% and 65%, respectively. In conclusion, we identified clinicobiological parameters with distinct prognostic implications for M-CLL and U-CLL. These parameters were used in order to develop prognostic indices tailored to SHM status that were found capable of distinguishing subgroups with markedly different outcomes. We argue that such a compartmentalized approach may supersede previous attempts, thus overcoming the pronounced heterogeneity of CLL and optimizing prognostication. PB and TM contributed equally as first authors Figure 1 Figure 1. Disclosures Rosenquist: Gilead Sciences: Speakers Bureau.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
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  • 10
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 3214-3214
    Abstract: Chronic lymphocytic leukemia (CLL) is preceded by monoclonal B cell lymphocytosis (MBL), characterized by the presence of monoclonal CLL-like B cells in the peripheral blood, yet at lower numbers than those required for the diagnosis of CLL. MBL is distinguished into low-count (LC-MBL) and high-count (HC-MBL), based on the number of circulating CLL-like cells. While the former does not virtually progress into a clinically relevant disease, the latter may evolve into CLL at a rate of 1% per year. In CLL, genomic studies have led to the discovery of recurrent gene mutations that drive disease progression. These driver mutations may be detected in HC-MBL and even in multipotent hematopoietic progenitor cells from CLL patients, suggesting that they may be essential for CLL onset. Using whole-genome sequencing (WGS) we profiled LC-MBL and HC-MBL cases but also CLL patients with stable lymphocytosis (range: 39.8-81.8*109 CLL cells/l) for 〉 10 years (hereafter termed indolent CLL). This would refine our understanding of the type of genetic aberrations that may be involved in the initial transformation rather than linked to clinical progression as is the case for most, if not all, CLL driver mutations. To this end, we whole-genome sequenced CD19+CD5+CD20dim cells from 6 LC-MBL, 5 HC-MBL and 5 indolent CLL cases; buccal control DNA and polymorphonuclear (PMN) cells were analysed in all cases. We also performed targeted deep-sequencing on 11 known driver genes (ATM, BIRC3, MYD88, NOTCH1, SF3B1, TP53, EGR2, POT1, NFKBIE, XPO1, FBXW7) in 8 LC-MBL, 13 HC-MBL and 7 indolent CLL cases and paired PMN samples. Overall similar mutation signatures/frequencies were observed for LC/HC-MBL and CLL concerning i) the entire genome; with an average of 2040 somatic mutations observed for LC-MBL, 2558 for HC-MBL and 2400 for CLL (186 for PMN samples), as well as ii) in the exome; with an average of non-synonymous mutations of 8.9 for LC-MBL, 14.6 for HC-MBL, 11.6 for indolent CLL (0.9 for PMN samples). Regarding putative CLL driver genes, WGS analysis revealed only 2 somatic mutations within NOTCH1, and FBXW7 in one HC-MBL case each. After stringent filtering, 106 non-coding variants (NCVs) of potential relevance to CLL were identified in all MBL/CLL samples and 4 NCVs in 2/24 PMN samples. Seventy-two of 110 NCVs (65.5%) caused a potential breaking event in transcription factor binding motifs (TFBM). Of these, 29 concerned cancer-associated genes, including BTG2, BCL6 and BIRC3 (4, 2 and 2 samples, respectively), while 16 concerned genes implicated in pathways critical for CLL e.g. the NF-κB and spliceosome pathways. Shared mutations between MBL/CLL and their paired PMN samples were identified in all cases: 2 mutations were located within exons, whereas an average of 15.8 mutations/case for LC-MBL, 8.2 for HC-MBL and 9 for CLL, respectively, concerned the non-coding part. Finally, 16 sCNAs were identified in 9 MBL/CLL samples; of the Döhner model aberrations, only del(13q) was detected in 7/9 cases bearing sCNAs (2 LC-MBL, 3 HC-MBL, 2 indolent CLL). Targeted deep-sequencing analysis (coverage 3000x) confirmed the 2 variants detected by WGS, i.e. in NOTCH1 (n=1) and FBXW7 (n=1), while 4 subclonal likely damaging variants were detected with a VAF 〈 10% in POT1 (n=2), TP53 (n=1), and SF3B1 (n=1) in 4 HC-MBL samples. In conclusion, LC-MBL and CLL with stable lymphocytosis for 〉 10 years display similar low genomic complexity and absence of exonic driver mutations, assessed both with WGS and deep-sequencing, underscoring their common low propensity to progress. On the other hand, HC-MBL comprising cases that may ultimately evolve into clinically relevant CLL can acquire exonic driver mutations associated with more dismal prognosis, as exemplified by subclonal driver mutations detected by deep-sequenicng. The existence of NCVs in TFBMs targeting pathways critical for CLL prompts further investigation into their actual relevance to the clinical behavior. Shared mutations between CLL and PMN cells indicate that some somatic mutations may occur before CLL onset, likely at the hematopoietic stem-cell level. Their potential oncogenic role likely depends on the cellular context and/or microenvironmental stimuli to which the affected cells are exposed. Disclosures Stamatopoulos: Novartis: Honoraria, Research Funding; Janssen: Honoraria, Other: Travel expenses, Research Funding; Gilead: Consultancy, Honoraria, Research Funding; Abbvie: Honoraria, Other: Travel expenses. Ghia:Adaptive: Consultancy; Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Abbvie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Speakers Bureau; Roche: Honoraria, 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: 2016
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