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  • 1
    In: Cancer Cell, Elsevier BV, Vol. 30, No. 5 ( 2016-11), p. 806-821
    Type of Medium: Online Resource
    ISSN: 1535-6108
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
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  • 2
    In: Journal of Clinical Investigation, American Society for Clinical Investigation, Vol. 132, No. 3 ( 2022-2-1)
    Type of Medium: Online Resource
    ISSN: 1558-8238
    Language: English
    Publisher: American Society for Clinical Investigation
    Publication Date: 2022
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  • 3
    In: Nature, Springer Science and Business Media LLC, Vol. 526, No. 7574 ( 2015-10), p. 519-524
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2015
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  • 4
    In: Genome Research, Cold Spring Harbor Laboratory, Vol. 24, No. 2 ( 2014-02), p. 212-226
    Abstract: Chronic lymphocytic leukemia (CLL) has heterogeneous clinical and biological behavior. Whole-genome and -exome sequencing has contributed to the characterization of the mutational spectrum of the disease, but the underlying transcriptional profile is still poorly understood. We have performed deep RNA sequencing in different subpopulations of normal B-lymphocytes and CLL cells from a cohort of 98 patients, and characterized the CLL transcriptional landscape with unprecedented resolution. We detected thousands of transcriptional elements differentially expressed between the CLL and normal B cells, including protein-coding genes, noncoding RNAs, and pseudogenes. Transposable elements are globally derepressed in CLL cells. In addition, two thousand genes—most of which are not differentially expressed—exhibit CLL-specific splicing patterns. Genes involved in metabolic pathways showed higher expression in CLL, while genes related to spliceosome, proteasome, and ribosome were among the most down-regulated in CLL. Clustering of the CLL samples according to RNA-seq derived gene expression levels unveiled two robust molecular subgroups, C1 and C2. C1/C2 subgroups and the mutational status of the immunoglobulin heavy variable ( IGHV ) region were the only independent variables in predicting time to treatment in a multivariate analysis with main clinico-biological features. This subdivision was validated in an independent cohort of patients monitored through DNA microarrays. Further analysis shows that B-cell receptor (BCR) activation in the microenvironment of the lymph node may be at the origin of the C1/C2 differences.
    Type of Medium: Online Resource
    ISSN: 1088-9051
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    Language: English
    Publisher: Cold Spring Harbor Laboratory
    Publication Date: 2014
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  • 5
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 3902-3902
    Abstract: Leukemic B-cell chronic lymphoproliferative disorders (B-CLPD) encompass a heterogeneous group of defined disease entities. However, around 10% of the cases cannot be reliably classified based on the current criteria and are considered B-CLPD not otherwise specified (B-CLPD NOS). Few recurrent mutations and genetic alterations have been reported in some entities, but none is specific. We performed gene expression profiling (GEP) to develop a robust GEP-molecular classifier for leukemic B-CLPD. We analyzed purified blood of 189 B-CLPD, including 54 chronic lymphocytic leukemia (CLL), 54 mantle cell lymphoma (MCL), 12 follicular lymphoma (FL), 23 splenic marginal zone lymphoma (SMZL), 4 splenic diffuse red pulp lymphoma (SDRPL), 4 hairy cell leukemia (HCL), 4 HCL-variant (HCL-v), 6 lymphoplasmacytic lymphoma (LPL) and 28 B-CLPD NOS. We used a multiple step approach to build a GEP-array classifier and then analyzed an additional series as a validation cohort by quantitative PCR (qPCR). Mutational analysis of BRAF, MAP2K1, MYD88, NOTCH1, NOTCH2, SF3B1 and TP53 and copy number alterations were studied. In the training set, a supervised analysis clustering revealed that each B-CLPD entity has a specific expression profile. By a multi-step GEP classifier using 43 genes (Table 1) we could classify CLL, SOX11-positive MCL (MCLc), HCL, FL, SOX11-negative MCL (MCLi) and HCL-v cases in six successive stages. However, we were not able to clearly identify distinct signatures for LPL, SMZL and SDRPL. Furthermore, we could classify 36% of B-CLPD NOS cases. Interestingly, the 43-gene signature identified in leukemic samples could also classify the 28 tumor splenic biopsies. Finally, we built a simple 8-gene predictive model using qPCR data (including: FMOD, KSR2, SOX11, MYOF, MME, CCND1, CXCR4, and CAMSAP2) that was used in an independent validation cohort and classified 14% B-CLPD NOS cases. The classification yield increased to 61% and 50%, for GEP-array and qPCR, respectively, when additional morphological, molecular and genetic features were considered. Our findings support the use in a routine base of a simple test as a diagnostic tool that can be applied to help multiparameter interpretation in the classification of leukemic B-CLPD and specially B-CLPD NOS. Table 1. Gene signatures (43 genes) and steps used for the GEP-array model. Step model B-CLPD Specific signatures 1 CLL FMOD, KSR2 , ADTRP, CLNK, LEF1, FILIP1L, CTLA4, IGSF3, EBF1 2 MCLc SOX11 , PLEKHG4B, HDGFRP3, CNN3, PON2, SH3BP4, FCGBP, STMN1, FARP1, DBN1, NREP, NINL, MARCKSL1, MEX3D, CRIM1, KAZN 3 HCL HPGDS, IL1R2, TJP1, PLOD2, EMP1, NOVA1 4 FL MME , SLC2A5, SMAD1, PRDM15 5 MCLi CCND1 6 HCL-v TUSC1, LRP1B, KCNJ3, NRCAM, MS4A14, FAM129C, CXCR4 7 MiscellaneousLPL-SDRPL-SMZL No specific genes CLL: chronic lymphocytic leukemia; FL: follicular lymphoma, HCL: hairy cell leukemia; HCL-v: hairy cell leukemia variant; LPL, lymphoplasmacytic lymphoma; MCLc: conventional SOX11-positive mantle cell lymphoma; MCLi: indolent SOX11-negative mantle cell lymphoma; SDRPL, splenic diffuse red pulp lymphoma; SMZL, splenic marginal zone lymphoma. Bold letters indicate some of the genes included in the simple qPCR model. Disclosures Lopez-Guillermo: Roche, Celgene, Mundipharma, Gilead, Novartis: Membership on an entity's Board of Directors or advisory committees, 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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  • 6
    In: Blood, American Society of Hematology, Vol. 121, No. 12 ( 2013-03-21), p. 2175-2185
    Abstract: SOX11 silencing promotes the shift from a mature B cell into the initial plasmacytic differentiation phenotype in MCL. SOX11 promotes tumor growth of MCL cells in vivo, highlighting its implication in the aggressive behavior of conventional MCL.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2013
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  • 7
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 4346-4346
    Abstract: Introduction: Modulation of the DNA methylation landscape during cell differentiation is a well-established phenomenon. The B-cell lineage represents a paradigmatic cellular model to study the dynamic epigenome during cell development and specification because major B-cell maturation stages are well defined and display differential phenotypic and gene expression features. Furthermore, different B-cell subpopulations show different proliferation abilities, microenvironmental influences and life spans, providing a window of opportunity to study the epigenome in the context of multiple processes. Methods: We performed whole-genome bisulfite sequencing (WGBS), high-density methylation microarrays and gene expression profiling of ten purified human B-cell subpopulations spanning the entire differentiation program, ranging from uncommitted progenitors to terminally-differentiated plasma cells. Results: The results of both WGBS and methylation microarrays indicate that B-cell ontogenesis involves an extensive and gradual reconfiguration of the DNA methylome. We uncovered that non-CpG methylation at CpApC trinucleotides is present in progenitor cells and disappears upon B-cell commitment independently of CpG demethylation. CpG methylation, in contrast, changed extensively during the entire B-cell maturation program, with one quarter of all measured CpGs showing dynamic methylation. B-cell enhancers suffered more extensive methylation changes than promoter regions, especially in the early differentiation steps up to the germinal center B-cell (gcBC) stage, and their demethylation seemed to be mediated by binding of lineage-specific transcription factors. Enhancers with dynamic methylation were related to genes involved in a large B-cell network that showed high gene expression variability throughout differentiation. In highly proliferative gcBCs, we observed a shift of dynamic methylation from regulatory towards non-functional elements; gcBCs start to undergo global demethylation of late-replicating heterochromatic regions and methylation of polycomb-repressed regions. This signature becomes particularly extensive in long-lived memory B cells and plasma cells, indicating that these changes start in highly proliferative cells and then accumulate in non-proliferative cells with extended lifespan. Conclusion: Our epigenomic analysis of the B-cell differentiation program extends our knowledge on how the DNA methylome is modulated during cell specification and maturation and offers a resource for researchers in the field, both at global and single gene levels. 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: 2014
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  • 8
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 1677-1677
    Abstract: Introduction: MCL is a mature B-cell neoplasm characterized by t(11;14) (q13;q32) and cyclin D1 (CCND1) overexpression. Molecular studies have revealed other alterations in cell-cycle regulation, DNA damage response and cell survival pathways, with a landscape of somatic mutations being recently identified. CNS involvement is a well known complication, occurring in 4-26% of MCL at five years, with an ominous significance. Although different clinical variables have been identified as risk factors for CNS infiltration, the biological parameters related to this complication have not been extensively studied. The aim of the study was to explore the biological parameters associated with CNS involvement in a multicentre and retrospective series of MCL patients. Patients and Methods: 285 patients (M:74%; 64 yr) diagnosed of MCL between 1990-2014 (median survival of 4 years) were analysed. In addition to standard clinico-biological variables, IGHV mutational analysis, chromosomal alteration studies and Sanger sequencing of NOTCH1, NOTCH2, TP53, BIRC3, WHSC1, MEF2B, MLL2, TLR2 and PRDM1 were performed. Results: CNS involvement was observed in 15/285 MCL patients (5.2%), with a 5-yr risk of 9.1% (95%CI: 4.6-13.6), one patient at diagnosis, and at first or second/ulterior progressions in 7 cases each. The clinical, pathological and molecular risk factors identified are detailed in the Table. In addition to what has been already described, CNS involvement was usually observed in MCL cases with a clinical nodal presentation (p=0.05). In fact, no indolent MCL with a non-nodal presentation developed this complication during the follow-up period. No differences were observed in the risk of CNS involvement between patients treated in first-line with conventional or high-dose intense treatment (5-yr risk: 6.1%+/-6% vs. 10.7%+/-10.6%, p=ns). Regarding the biological features, no differences in terms of the IGHV mutational status were observed in cases developing CNS involvement compared to the others (75% vs. 68.7%, using 97% identity cut-off). Similarly, the IGHV gene usage of CNS involved cases corresponded to the more frequent IGHV genes observed in MCL (usually IGHV1-18, IGHV3-23, IGHV4-34, IGHV4-59). Although not significant, a predominance of high number copy number alterations (CNA) ( 〉 4) could be observed in the genetic study of MCL cases with CNS involvement as could be expected for the enrichment in blastoid variants (up to 50% of these cases). In fact, we did not observe any case with CNS involvement among those cases with 3 or less CNA. CNS involvement was not related to common poor prognosis genetic alterations such as 9p, 11p and 17p losses, but the presence of 8q gains was associated with a higher risk of CNS involvement (p=0.05). We did not find any significant association between CNS involvement and the large number of oncogenic mutations studied. Conclusions: CNS involvement in MCL is associated with initial aggressive clinico-biological characteristics. Non-nodal MCL cases with a low number of genetic alterations did not present CNS involvement. Finally, the presence of 8q gains was associated with a higher risk of CNS infiltration. Table Initial Clinical Features Category N 5 yr-CNS involvement (%, 95%CI) HR p Performance status (ECOG) 〉 1 8/51 41.5 (+/-28) 4.2 .003 ≤ 1 7/128 9.4 (+/-5.5) Nodal disease Yes 14/185 13.3 (+/-7.6) 6.1 .05 No 1/77 1.4 (+/-2.7) Hemoglobin (g/L) 〈 105 12/93 24.7 (+/-14.7) 3.2 .05 ≥ 105 3/78 5.3 (+/-6.3) LDH 〉 ULN 4/89 27.1(+/-19.4) 6.7 〈 .001 〈 ULN 11/137 5.6 (+/-6.3) B2microglobulin 〉 ULN 11/114 21.6 (+/-14.9) 3.5 .04 〈 ULN 3/66 8.7(+/-10) Molecular & Pathological data Histological variant Blastoid 6/58 17.3 (+/-13.7) 3.5 .02 Others 8/156 1.3 (+/-7.2) Ki-67 〉 30% 5/44 17.5 (+/-14.9) 3.6 .06 ≤ 30% 3/61 6.7 (+/-9.4) SOX11 Positive 8/153 2.9 (+/- 5.7) 2.6 ns Negative 1/42 2.1 (+/-2.4) IGHV ≥97% 6/109 9.5 (+/-9.6) 1.9 ns 〈 97% 2/49 6 (+/-8.2) CNA 〉 4 2/87 3.9 (+/-5.7) 1.1 ns ≤ 4 1/44 2.3 (+/-4.3) Chromotripsis Yes 1/17 12.5 (+/-22) 3.2 ns No 2/106 1.9 (+/-2.7) 8q gain Yes 2/30 13.1(+/-19) 7.5 .05 No 2/97 1 (+/-1.96) CNA: copy number alteration; IGHV: immunoglobulin heavy chain; LDH: Lactate dehydrogenase 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: 2014
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  • 9
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 847-847
    Abstract: Introduction: Genomic studies of chronic lymphocytic leukemia (CLL) have uncovered & gt;80 potential driver mutations. The vast majority of these mutations affect coding regions, and just two potential drivers have been identified in non-coding elements. Aim: To describe the biological and clinical impact of a recurrent A & gt;C mutation at the third base of the small nuclear RNA U1, the non-coding component of the spliceosome involved in the recognition of the 5' splice site (5'SS). Methods: Whole-genome sequencing (WGS) and RNA-seq from 318 CLL patients were used to identify and characterize a highly recurrent A & gt;C point mutation occurring at position 3 of the U1 snRNA gene (g.3A & gt;C mutation). The U1 wild-type and mutant forms were introduced into three CLL cell lines (JVM3, HG3, MEC1) to validate in vitro the predicted effect of this alteration. We screened two independent cohorts including a total of 1,314 CLL patients for the presence of the mutation using the rhAmp SNP genotyping assay, and integrated the U1 mutational status with well-known driver alterations, IGHV and epigenetic subgroups, and clinical parameters. Results: The U1 mutation was found in 8/78 (10.3%) CLL cases analyzed by WGS. Given its role in 5'SS recognition by base-pairing, we reasoned that this mutation was likely to alter the splicing and expression patterns of CLL. We were able to confirm widespread specific alterations in the transcriptome by comparing RNA-seq data between wild-type and g.3A & gt;C mutated samples. Applying this knowledge to an algorithm aimed to infer the U1 mutational status from expression data, we were able to identify 4 mutated cases among 240 additional cases that had RNA-seq but no WGS. In total, 12/318 (3.8%) CLL patients analyzed by WGS and/or RNA-seq harbored this mutation. This g.3A & gt;C U1 mutation changes the preferential A-U base-pairing between U1 and 5'SS to C-G base-pairing, creating novel splice junctions and altering the splicing pattern of 3,193 introns in 1,519 genes. In addition to altered splicing, 869 genes were differentially expressed between mutated and wild-type cases. We identified specific cancer genes (e.g. MSI2, POLD1, or CD44) and pathways (B-cell receptor signaling, promotion of apoptosis, telomere maintenance, among others) altered by the U1 mutation. To confirm a causal link between this mutation and splicing changes, we introduced exogenous U1 genes with or without the mutation into three cell lines. Subsequent RNA-seq of these cell lines recapitulated the altered splicing and expression patterns observed in CLL patients. We next screened for the presence of the U1 mutation 1,057 patients (cohort 1) using the rhAmp assay and it was found in 30 (2.8%) cases. The distribution of the mutation was similar in Binet stages and CLL vs monoclonal B-cell lymphocytosis. However, the U1 mutation was almost always found in IGHV unmutated CLL (29/30, p=9.0e-11) and within the naïve-like CLL epigenetic subgroup (p=3.7e-7). None of the U1 mutated cases had mutations in the SF3B1 splicing factor. Considering only pre-treatment CLL samples, U1 mutation was associated with a shorter time to first treatment independently of the Binet stage, IGHV mutational status, epigenetic subgroups, and mutations in the well-known CLL drivers SF3B1, NOTCH1, ATMor TP53. In cohort 2 (n=257), this mutation was found in 13 (5.1%) patients, confirming its enrichment in IGHV unmutated cases, naïve-like epigenetic subgroup, and splicing modulation. Despite the relatively small number of pre-treatment samples carrying the U1 mutation (7/178) and short follow-up of the patients (median 2.6 years), the effect of this mutation on time to first treatment in cohort 2 was compatible with the one observed in cohort 1. Finally, we screened for the U1 mutation a cohort of diffuse large B-cell lymphoma (n=108), mantle cell lymphoma (n=101), follicular lymphoma (n=87), splenic marginal zone lymphoma (n=12), acute myeloid leukemia (n=52), and myelodysplastic syndrome (n=67). The mutation was not present in any of the samples analyzed. Conclusions: Here we have reported that the third base of the small nuclear RNA U1 is recurrently mutated in CLL, proved its effect in splicing and gene expression, and shown that this mutation is independently associated with faster disease progression. The g.3A & gt;C U1 mutation represents a novel non-coding driver alteration in CLL with potential clinical and therapeutic implications. Disclosures Ramirez Payer: GILEAD SCIENCES: Research Funding. Terol:Astra Zeneca: Consultancy; Gilead: Research Funding; Abbvie: Consultancy; Janssen: Consultancy, Research Funding; Roche: Consultancy. Lopez-Guillermo:Celgene: Consultancy, Research Funding; Janssen: Research Funding; Roche: Consultancy, Research Funding; Gilead: Consultancy, 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: 2019
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  • 10
    In: Blood, American Society of Hematology, Vol. 137, No. 21 ( 2021-05-27), p. 2935-2946
    Abstract: B-cell receptor (BCR) signaling is crucial for chronic lymphocytic leukemia (CLL) biology. IGLV3-21–expressing B cells may acquire a single point mutation (R110) that triggers autonomous BCR signaling, conferring aggressive behavior. Epigenetic studies have defined 3 CLL subtypes based on methylation signatures reminiscent of naïve-like (n-CLL), intermediate (i-CLL), and memory-like (m-CLL) B cells with different biological features. i-CLL carries a borderline IGHV mutational load and significantly higher use of IGHV3-21/IGLV3-21. To determine the clinical and biological features of IGLV3-21R110 CLL and its relationship to these epigenetic subtypes, we characterized the immunoglobulin gene of 584 CLL cases using whole-genome/exome and RNA sequencing. IGLV3-21R110 was detected in 6.5% of cases: 30 (38%) of 79 i-CLLs, 5 (1.7%) of 291 m-CLLs, and 1 (0.5%) of 189 n-CLLs. All stereotype subset 2 cases carried IGLV3-21R110, whereas 62% of IGLV3-21R110 i-CLL cases had nonstereotyped BCR immunoglobulins. IGLV3-21R110 i-CLL had a significantly higher number of SF3B1 and ATM mutations and total number of driver alterations. However, the R110 mutation was the sole alteration in 1 i-CLL and was accompanied only by del(13q) in 3. Although IGHV mutational status varied, IGLV3-21R110 i-CLL transcriptomically resembled n-CLL/unmutated IGHV CLL with a specific signature including WNT5A/B overexpression. In contrast, i-CLL lacking IGLV3-21R110 mirrored m-CLL/mutated IGHV. Patients with IGLV3-21R110 i-CLL had a short time to first treatment and overall survival similar to those of n-CLL/unmutated IGHV patients, whereas patients with non-IGLV3-21R110 i-CLL had a good prognosis similar to that of patients with m-CLL/mutated IGHV. IGLV3-21R110 defines a CLL subgroup with specific biological features and an unfavorable prognosis independent of IGHV mutational status and epigenetic subtype.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
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