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  • 1
    In: Leukemia & Lymphoma, Informa UK Limited, Vol. 46, No. 9 ( 2005-09), p. 1369-1374
    Type of Medium: Online Resource
    ISSN: 1042-8194 , 1029-2403
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2005
    detail.hit.zdb_id: 2030637-4
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  • 2
    In: Leukemia & Lymphoma, Informa UK Limited, Vol. 52, No. 4 ( 2011-04), p. 648-658
    Type of Medium: Online Resource
    ISSN: 1042-8194 , 1029-2403
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2011
    detail.hit.zdb_id: 2030637-4
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  • 3
    In: Leukemia & Lymphoma, Informa UK Limited, Vol. 49, No. 7 ( 2008-01), p. 1403-1406
    Type of Medium: Online Resource
    ISSN: 1042-8194 , 1029-2403
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2008
    detail.hit.zdb_id: 2030637-4
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2012
    In:  European Journal of Haematology Vol. 89, No. 1 ( 2012-07), p. 94-94
    In: European Journal of Haematology, Wiley, Vol. 89, No. 1 ( 2012-07), p. 94-94
    Type of Medium: Online Resource
    ISSN: 0902-4441
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 2027114-1
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  • 5
    In: Leukemia, Springer Science and Business Media LLC, Vol. 35, No. 6 ( 2021-06), p. 1597-1609
    Type of Medium: Online Resource
    ISSN: 0887-6924 , 1476-5551
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2008023-2
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  • 6
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 809-809
    Abstract: Background: Mature T-cell lymphomas and leukemias (MTCL) are heterogeneous diseases with dismal prognosis. Differentiating between the numerous entities requires specialized pathology expertise and studies show up to 20% change in diagnosis after expert review of cases (Laurent, JCO, 2017). Assay for transposase accessible chromatin sequencing (ATAC-seq) is a simple technique to profile open chromatin regions (OCR) proven to be highly discriminant for cell-of-origin identification regardless of cell activation status (Shih, Cell, 2016). We applied ATAC-seq to MTCL in order to explore the epigenetic landscape of these diverse entities, compared them to normal T-cell subtypes and built a predictive model to help diagnosis. Method: Ten-thousand FACS-sorted single cells from primary MTCL samples and 50µm section of frozen tumoral tissue from the TENOMIC French T-cell Lymphoma Consortium were processed according to the previously published FAST-ATAC and OMNI-ATAC protocols respectively (Corces, Nat Genetics, 2016 & Nat. Methods, 2017). Concurrently we applied FAST ATAC to different normal T- and NK-cell subsets sorted from healthy donor PBMC or lymph node suspensions. Sequencing data were processed by an adapted version of ENCODE ATAC-seq pipeline. Matrix of insertion events in peaks by sample was obtained, normalized and most variant peaks were selected for UMAP projection. Results: In total, 678 normal and tumoral samples were sequenced to provide a comprehensive landscape of chromatin accessibility in MTCL. Epigenetic profiling by ATAC-seq of FACS-sorted tumoral samples resulted in a complete segregation of the known MTCL entities (AITL, TFH-PTCL, ALK+ and ALK- ALCL, HSTL, CTCL, ATLL, LGL and T-PLL). Most PTCL-NOS (13/17) clustered with a pre-defined MTCL subtype (mainly AITL/TFH-phenotype PTCL, CTCL and lymphomas exhibiting cytotoxic features). All but one discordant diagnosis between pathology and ATAC-seq (1/11) led to revised diagnosis after pathology review. Unsupervised clustering of normal NK- and T-cell subtypes (N=49) and sorted tumoral lymphoma cells (N=104) confirmed that AITL derive from TFH cells. HSTL and LGL closely segregated with NK- and gamma-delta T cells, in line with their known innate-like phenotype. Surprisingly, the cell-of-origin of T-PLL seems to be naïve T cells despite the known expression of central memory markers on leukemic cells. Beyond epigenetic classification, background reads from ATAC-seq profiles were used to detect copy number variation (CNV), such as isochromosome 7q in HSTL. In addition, HTLV1 and EBV viral sequence detection in ATAC-seq reads strengthened identification of ATLL and NKTCL cases. Finally, using unsupervised deconvolution approaches, we were able to discriminate different MTCL subtypes from 223 processed bulk frozen samples. All known MTCL subtypes were differentiated (AITL/PTCL-TFH, HSTL, NKTCL, ATLL, ALK- and ALK+ ALCL, MEITL, EATL). A subgroup of PTCL-NOS harboring GATA3 OCRs and a distinctly high CNV number was isolated that might correspond to previously described PTCL-GATA3 subtypes (Iqbal, Blood, 2019). A random forest model was trained to predict diagnosis based on chromatin-accessibility clusters defined in the discovery cohort of patients. The model showed accurate prediction performance by cross-validation. External validation on 172 samples collected from 5 tertiary care centers will be presented at the meeting. Conclusion: ATAC-seq is a fast and cost-effective technique to help and refine MTCL pathological classification and allows for putative cell-of-origin identification in lymphoma. Training of a machine learning model to predict MTCL entity diagnosis based on ATAC-seq analysis of fresh or frozen samples shows promising results. Figure 1 Figure 1. Disclosures Sibon: Janssen: Consultancy; Abbvie: Consultancy; iQone: Consultancy; Takeda: Consultancy; Roche: Consultancy. Drieux: Genexpath: Patents & Royalties: The author is a potential inventor on a patent application for the LymphoSign, which has been licensed for by Genexpath Patents & Royalties.. Ruminy: Genexpath: Patents & Royalties: The author is a potential inventor on a patent application for the LymphoSign, which has been licensed for by Genexpath Patents & Royalties. . Salles: Takeda: Consultancy; Velosbio: Consultancy; Ipsen: Consultancy; Allogene: Consultancy; Miltneiy: Consultancy; Genentech/Roche: Consultancy; Genmab: Consultancy; Janssen: Consultancy; Loxo: Consultancy; Kite/Gilead: Consultancy; Regeneron: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Novartis: Consultancy; Incyte: Consultancy; Rapt: Consultancy; Epizyme: Consultancy, Honoraria; Debiopharm: Consultancy; BMS/Celgene: Consultancy; Beigene: Consultancy; Abbvie: Consultancy, Honoraria; Bayer: Honoraria. Gaulard: Alderaan: Research Funding; Sanofi: Research Funding; Innate Pharma: Research Funding; Gilead: Consultancy; Takeda: Consultancy, Honoraria. Bachy: Kite, a Gilead Company: Honoraria; Novartis: Honoraria; Daiishi: Research Funding; Roche: Consultancy; Takeda: Consultancy; Incyte: Consultancy.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 7
    In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 2039-2039
    Abstract: INTRODUCTION: The benefits of ibrutinib (ibr) have been demonstrated by the phase 3 RESONATE and RESONATE-2 trials for patients (pts) with R/R and TN (≥ 65 years) CLL, respectively. In these studies, ibr showed significantly improved progression-free survival (PFS) and overall survival (OS) vs approved comparators (ofatumumab [ofa] in RESONATE and chlorambucil [clb] in RESONATE-2). However, a number of other treatment regimens are widely used in clinical practice for CLL based on individual patient and disease characteristics; it is currently unknown if ibr results in better survival outcomes when compared directly with each of these other treatments. AIM: In the absence of a head-to-head comparison, we investigated the relative efficacy of ibr vs physician's choice (PC) in pts with R/R or TN CLL by comparing pt-level data from RESONATE and RESONATE-2 with data from pts in a real-world setting (the Lyon-Sud database). This database holds electronic medical records for 390 pts with CLL from the academic Lyon-Sud Hospital in France; nearly all patients were diagnosed between 1990 and 2014. This is the first analysis of ibr vs PC in a real-world setting for pts with TN CLL. METHODS: Pt-level data from RESONATE (ibr, n = 195; ofa, n = 196) were compared with data on pts with CLL from Lyon-Sud who received 2nd(n = 107) or later-line treatment (3rd [n = 62], 4th [n = 43] , and subsequent [n = 51] lines). Similarly, RESONATE-2 (ibr, n = 136; clb, n = 133) pt-level data were compared with those of pts aged ≥ 65 years who received 1st-line treatment (n = 131). In order to account for non-comparability due to lack of randomization, a multivariate Cox proportional hazards model was used to compare PFS and OS between treatments, including line of therapy, age, sex, disease stage (based on Binet/Rai), and deletion 17p or 11q mutations as covariates. For the definition of PFS, missing data for date of disease progression for pts in Lyon-Sud who initiated subsequent therapy were replaced by the conservative proxy of date of initiation of next treatment. Predicted PFS and OS curves for the Lyon-Sud cohort were derived from the multivariate model. RESULTS: For R/R pts in Lyon-Sud, across all treatment lines the most frequent regimens used were rituximab (R) + chemotherapy (n = 46), bendamustine + R (BR; n = 28), fludarabine + cyclophosphamide + R (FCR) (n = 27), clb + R (n = 19), R monotherapy (n = 21), and R-CHOP-based (n = 19); the remaining percentages comprised various other therapies, each used in 〈 5% of pts. Median age at treatment initiation for Lyon-Sud and RESONATE was 69 and 67 years, respectively; median number of prior therapies was 2 and 3, and median follow-up was 30.0 and 21.9 months. More lines of prior therapy, older age, male sex, advanced disease stage (Binet C/Rai III/IV), and presence of deletion 17p/11q were independent risk factors for worse PFS and OS outcome. After adjustment for differences in baseline characteristics, PFS and OS hazard ratios (HRs) for ibr vs PC were 0.18 (95% confidence interval [CI], 0.13-0.26) and 0.28 (0.17-0.46), respectively. Adjusted HRs for ibr vs the most frequent treatments ranged from 0.09 (R monotherapy) to 0.38 (FCR) for PFS and 0.21 (R monotherapy) to 0.33 (FCR) for OS; all were statistically significant. For TN pts in Lyon-Sud, the most frequent treatment regimens used were FCR (n = 40), clb + R (n = 21), clb monotherapy (n = 17), R-(mini)CHOP (n = 11), and BR (n = 11). Median age at treatment initiation was 73 years for both Lyon-Sud and RESONATE-2; median follow-up was 36.9 and 28.1 months, respectively. Older age, male sex, and advanced disease stage were independent risk factors for worse PFS and OS outcome. After adjustment for baseline differences, the PFS and OS HRs for ibr vs PC were 0.25 (0.14-0.47) and 0.41 (0.17-0.99). Predicted PFS and OS curves for both R/R and TN patients are presented in Figure 1. CONCLUSIONS: Investigation of survival outcomes suggests that ibr administered to pts in RESONATE and RESONATE-2 was more effective than PC used in a real-world cohort of French pts with R/R or TN CLL, suggesting a 4.8-fold improvement in PFS and a 3.4-fold improvement in OS in R/R pts and 4-fold and 2.4-fold improvements in TN pts, respectively. These results further support the growing evidence that ibr significantly improves both PFS and OS vs commonly used regimens in the R/R and TN settings, and could have important implications for improving treatment of CLL in clinical practice. Disclosures Salles: Janssen: Consultancy, Honoraria; Gilead: Honoraria, Research Funding; Mundipharma: Honoraria; Amgen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Roche/Genentech: Consultancy, Honoraria, Research Funding. Sarkozy:Sandoz: Research Funding; Janssen Research & Development: Honoraria; Gilead: Honoraria; Takeda: Research Funding. Ghesquieres:Mundipharma: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche France: Research Funding. Diels:Johnson & Johnson: Employment, Equity Ownership. Besson:Janssen: Employment. MacDougall:Janssen Research & Development: Research Funding; IMS Health: Employment. Hermans:Janssen Research & Development: Research Funding; IMS Health: Employment. Healy:Janssen Research & Development: Employment. Garside:Janssen Research & Development: Employment. Iraqi:Janssen Research & Development: Employment.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2016
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 8
    In: Blood, American Society of Hematology, ( 2019-09-16)
    Abstract: B-PLL is tightly linked to MYC aberrations (translocation or gain) and 17p (TP53) deletion. Cases of B-PLL with MYC aberration and 17p (TP53) deletion have the worst prognosis.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 9
    In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 4679-4679
    Abstract: Introduction Ibrutinib, a once-daily oral Bruton's tyrosine kinase inhibitor, has shown progression-free survival (PFS) or overall-survival (OS) benefit over chemoimmunotherapy (CIT) in multiple phase 3 studies in previously untreated patients with CLL, and significantly longer time to next treatment compared with CIT in previously untreated high-risk patients in a RW setting. We conducted an adjusted comparison of ibrutinib versus RW treatment for previously untreated CLL using patient-level data from the phase 3 RESONATE-2™ (NCT01722487) trial and RW databases from 2 countries. Methods Previously untreated patients with CLL, fulfilling RESONATE-2™ eligibility criteria (age ≥ 65, no del17p) were selected from 2 RW data sources containing electronic medical records for patients with CLL: Centre Hospitalier Lyon-Sud, France; CLLEAR CLL registry from 7 academic centers in the Czech Republic. PFS and OS were compared between patients from the ibrutinib arm of RESONATE-2™ with a median follow-up of 60 months, and those receiving physicians' choice (PC) treatment other than ibrutinib from the RW database, adjusting for differences in baseline characteristics including age, gender, del11q, IGHV status, RAI/BINET disease stage, and Eastern Cooperative Oncology Group (ECOG) score. Hazard ratios (HRs) for ibrutinib versus RW PC treatment were estimated using a multivariable Cox proportional hazards model including available baseline characteristics as covariates, and using an inverse probability weighted (IPW) Cox model with average treatment effect for treatment (ATT) weights derived from propensity scores estimated from a logistic regression including the same covariates. Results The analysis included 136 patients from the RESONATE-2™ study receiving ibrutinib and 920 previously untreated RW patients receiving PC treatment (Lyon-Sud n = 162, CLLEAR n = 758). Baseline characteristics were generally balanced between treatment groups. The most common PC regimens contained CIT and were fludarabine + cyclophosphamide + rituximab (FCR) (n = 227), bendamustine + rituximab (BR) (n = 201), and rituximab + chlorambucil (R + Chlor) (n = 116). Older age, male gender, del11q and advanced disease stage were independent risk factors for PFS and OS. When comparing ibrutinib versus the overall PC cohort, the adjusted HR (95% confidence interval [CI]) was 0.24 (0.16-0.34) for PFS and 0.33 (0.21-0.52) for OS (both p & lt; 0.0001). IPW-based comparative estimates were highly consistent for both PFS (HR = 0.27 [0.18-0.39]) and OS (HR = 0.39 [0.24-0.62] ). ATT-weighted survival curves estimating PFS and OS for the RESONATE-2™ population as if treated with PC, showed a median value of 32.1 months and 72.5 months, respectively, while median values for Ibrutinib were not reached. When comparing ibrutinib versus FCR, BR, and R + Chlor, the adjusted HRs (95% CI) were 0.26 (0.17-0.38), 0.27 (0.18-0.41), and 0.27 (0.17-0.42), respectively, for PFS and 0.34 (0.20-0.56), 0.28 (0.16-0.49), and 0.61 (0.32-1.13), respectively, for OS (Figure). Concl usions Adjusted comparisons of the RESONATE-2™ trial and RW patient-level data demonstrates significantly improved PFS and OS for ibrutinib versus physician's choice treatment (predominantly CIT) in previously untreated patients with CLL. PFS and OS benefit for ibrutinib was consistent across a range of common regimens: FCR, BR, and R + Chlor. These results are consistent with data from phase 3 studies and support the use of ibrutinib for first-line CLL treatment. Funding Source: Sponsored by Janssen Pharmaceutica NV, and Pharmacyclics LLC, an AbbVie Company. The RW databases are independently owned. Writing assistance was provided by Emma Fulkes and Liqing Xiao of Parexel and funded by Janssen Pharmaceutica NV. Figure 1 Figure 1. Disclosures Doubek: Janssen-Cilag, AbbVie, AstraZeneca, Amgen, Gilead, Novartis: Honoraria, Research Funding. Smolej: AbbVie, AstraZeneca, Gilead, Janssen-Cilag, and Roche: Consultancy, Honoraria, Other: Travel Grants. Šimkovič: AbbVie, AstraZeneca, Janssen-Cilag, Gilead, Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel Grants. Lysak: Novartis, Janssen-Cilag, AbbVie; AstraZeneca: Honoraria, Research Funding. Bachy: Kite, a Gilead Company: Honoraria; Novartis: Honoraria; Daiishi: Research Funding; Roche: Consultancy; Takeda: Consultancy; Incyte: Consultancy. Ferrant: AbbVie: Honoraria, Other: Travel, Accommodations, Expenses; AstraZeneca: Honoraria; Janssen: Other: Travel, Accommodations, Expenses. Diels: Janssen: Current Employment. Cabrieto: Janssen: Current Employment. Nielsen: Janssen: Current Employment. Salles: Allogene: Consultancy; Regeneron: Consultancy, Honoraria; Velosbio: Consultancy; Takeda: Consultancy; Rapt: Consultancy; Genentech/Roche: Consultancy; Epizyme: Consultancy, Honoraria; Debiopharm: Consultancy; Genmab: Consultancy; Incyte: Consultancy; Ipsen: Consultancy; Janssen: Consultancy; Kite/Gilead: Consultancy; Loxo: Consultancy; Miltneiy: Consultancy; Morphosys: Consultancy, Honoraria; Novartis: Consultancy; BMS/Celgene: Consultancy; Beigene: Consultancy; Abbvie: Consultancy, Honoraria; Bayer: Honoraria.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2021
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 10
    In: Blood, American Society of Hematology, Vol. 112, No. 11 ( 2008-11-16), p. 624-624
    Abstract: Within the group of indolent B cells lymphomas derived from cells of the marginal zone, the pathogenesis of Splenic Marginal Zone Lymphoma (SMZL) remains incompletely characterized, in contrast to MALT lymphoma. However numerous findings recently contributed to a better description of this lymphoma, including its possible association with hepatitis C and the recurrence of 7q deletion. Furthermore, the peculiar pattern of Ig genes mutations and the biased usage of some segments (IGHV1-2) is suggestive of a T-independent Ag driven proliferation, at least at initial steps. The clinical heterogeneity is also marked with a lack of reproducible prognostic factors able to characterize the cases with a more aggressive course or histological transformation. MicroRNA (miRNA) are small non-coding RNA that have a post transcriptional regulation role by inhibiting translation of mRNA in protein and their abnormal expression was already found to contribute to the oncogenesis of various leukemias and lymphomas. The aim of the study was then to identify a miRNA profile of SMZL and to assess if specific miRNAs were associated with biological or clinical characteristics. MiRNA expression profile of SMZL was obtained by quantitative RT-PCR technology (Taqman microRNA Assays Human Panel, Applied Biosystems) which enabled to analyze 365 miRNAs. Six frozen spleen specimens of SMZL (including 2 cases with histological transformation) and 5 frozen specimens of non tumoral spleen (traumatic) were used to compare miRNA levels of expression (2−□□Ct method). Out of these 365 miRNAs, 95 were found to be reproducibly detectable in those samples and were further analyzed. Three miRNA were uniformly overexpressed in SMZL samples as compared to non tumor samples: miR-155 (mean fold change = 3.1), miR-451 (mean = 2.37), miR-486 (mean = 2.7). Conversly, 4 miRNAs were uniformly underexpressed: miR-127 (mean = 0.32), miR-139 (mean = 0.32), miR-335 (mean = 0.26), miR-411 (mean = 0.25). Interestingly, 1 miRNA, miR-21 was specifically found overexpressed only in the 2 transformed cases of SMZL (mean = 3.49) in comparison with the 4 non transformed cases (mean = 0.94). Those results were confirmed in a larger cohort of SMZL patients using a simplex real time PCR (Taqman microRNA Assays Human, Applied Biosystems) on frozen or paraffin embedded samples with a specific overexpression of miR-21 in 10 transformed cases (mean = 14.4), absent in the 6 non transformed cases (mean = 0.9) (Mann Whitney test: p =.0022). MiR-155 plays a key role in B cell differentiation and was already found overexpressed in other lymphomas subtypes. Little is know about the other miR overexpressed except for MiR- 21. MiR-21 is commonly overexpressed in solid tumors and the level of its expression is correlated in tumor growth and metastatic dissemination. It was also found overexpressed in chronic lymphocytic leukaemia and DLBCL (diffuse large B cell lymphoma). In opposite to DLBCL, our results seem to link miR-21’s overexpression with aggressive forms of SMZL. MiR-21 regulates multiple genes associated with apoptosis, migration and invasiveness. Altogether, these data points towards a specific miRNA expression pattern in SMZL and suggests that miR-21 could regulate important oncogenic pathways in transformed SMZL lymphomas.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2008
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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