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  • American Society of Hematology  (50)
  • 1
    In: Blood, American Society of Hematology, Vol. 119, No. 9 ( 2012-03-01), p. 2110-2113
    Abstract: MicroRNAs (miRNAs) play a key role in chronic lymphocytic leukemia as well as in normal B cells. Notably, miRNA gene encoding miR-650 and its homologs overlap with several variable (V) subgenes coding for lambda immunoglobulin (IgLλ). Recent studies describe the role of miR-650 in solid tumors, but its role in chronic lymphocytic leukemia (CLL) has not yet been studied. Our experiments demonstrate that miR-650 expression is regulated by coupled expression with its host gene for IgLλ. This coupling provides a unique yet unobserved mechanism for microRNA gene regulation. We determine that higher expression of miR-650 is associated with a favorable CLL prognosis and influences the proliferation capacity of B cells. We also establish that in B cells, miR-650 targets proteins important in cell proliferation and survival: cyclin dependent kinase 1 (CDK1), inhibitor of growth 4 (ING4), and early B-cell factor 3 (EBF3). This study underscores the importance of miR-650 in CLL biology and normal B-cell physiology.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 2
    In: Blood, American Society of Hematology, Vol. 128, No. 12 ( 2016-09-22), p. 1609-1613
    Abstract: Microenvironmental interactions upregulate CD20 expression in CLL cells through the CXCR4/SDF-1 axis. Ibrutinib treatment causes downregulation of CD20 in CLL cells.
    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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  • 3
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 1231-1231
    Abstract: Abstract 1231 Poster Board I-253 Background Chromosomal abnormalities are present in the majority of CLL cases ( & gt;80%) and recently, a novel deletion of 22q11 was described in CLL patients. This locus encodes lambda immunoglobulin light chain (IgL) subgenes and several protein-coding genes, which distinguishes IgL from kappa Ig or heavy Ig locus. Gunn et al. (2008) previously characterized the minimally deleted region of 22q11 in CLL as 0,34Mb (containing PRAME, ZNF280A, ZNF280B, GGTLC2) and described the PRAME as a candidate gene with prognostic impact in CLL. Interestingly, the IgL variable segment (V2-8) located at 22q11 includes an annotated miR gene miR-650. According to the performed BLAST search also other subgenes of V2 family include homologues for miR-650, which overlay the leader exon of the V2 subgenes. This could be of particular importance because the expression of miRNAs was previously shown to be associated with known prognostic markers in CLL: 13q deletion, IgVH status (Calin, 2002, 2005) and p53 deletion/mutation (Mraz, 2009). Moreover, miRNA pathways are involved in the regulation of immune system functions including IgG production and V(D)J recombination (Vigorito, 2007; Koralov, 2008). Aim We analyzed genomes of 40 CLL patients using array-CGH (CGH Microarray 4×44 K, Agilent) and FISH (del13q14, del17p13, del11q23, +12), and in particular focused on detailed characterization of 22q11 deletion. An expression analyses (RT-qPCR, TaqMan miRNA Assay, ABI) was performed for protein-coding genes and miR-650 located at 22q11. Results Using array-CGH additional aberrations to FISH were found in the majority of samples and among them, the deletion of 22q11 locus was observed most often (ranging in size up to ∼ 0,77 Mb). Altogether, 40% of patients (16/40) had detectable deletion in this locus and according to our finding, all observed deletions were a consequence of a VJ rearrangement event, which lead to an elimination of specific genes located between VJ elements. These rearrangements were characterized in detail by PCR detection (BIOMED-2 protocol) and sequencing. In our cohort, deletions of 22q11 containing PRAME gene constituted only ∼44% (n=7) and 56% patients (n=9) harbored smaller deletions not involving PRAME. To analyze the gene expression, we performed a Real-Time PCR analyses for previously mentioned protein-coding genes and miR-650. The Real-Time PCR assay for miR-650 reported higher expression of miR-650 in CLL cells utilizing V2-8, V2-5, V2-14, V2-23 subgenes for IgL (n=5) compared to samples utilizing different V lambda family or expressing kappa Ig (n=36). It remains to be elucidated how and whether all the V2 subgenes give rise to a mature and functional miRNA. The overlap between miR-650 and the leader exon of IgL gene could provide a unique mechanism for coordinated IgL and miRNA expression. To assess the function of miR-650 we performed a microarray (Human OneArray, Phalanx) expression profiling 24/48 hours post transfection of CLL cells with a short RNA mimicing miR-650 (miRIDIAN Mimic, Dharmacon). The transfection led to a significant down-regulation of dozens of mRNAs that could be considered as potential targets for miR-650. Interestingly, the predicted targets for miR-650 include early B cell factor (EBF3; target with highest total score – TargetScan) and VPREB1 (pre B lymphocyte gene 1) whose expression is important for immature phenotype of pre-B lymphocytes prior to light chain recombination. The coupled activation of miR-650 and lambda Ig expression following productive rearrangement of IgL locus could potentially affect the expression of VPREB1/EBF3. Conclusion Deletion of 22q11 is frequently detected in CLL patients and we suggest that it is caused by physiological process of lambda immunoglobulin variable locus rearrangement. This leads to the elimination of protein-coding genes located between VJ elements. Interestingly, the V2 family of variable segments for lambda light chain at 22q11 includes an annotated miR gene miR-650 and its homologues. The productive lambda locus rearrangement utilizing V2 family could be also coupled with activation of miR-650 expression with consequent relevance for B cell biology. This work is in progress and in further analyses we expect complex characterization of miR-650 functions in B cells and CLL. Supported by IGA MZ CR NR9293-3/2007 and IGA MZ CR NS10439-3/2009. Disclosures Mayer: BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Consultancy; Fresenius: Consultancy; Roche: Research Funding; Pfizer: 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: 2009
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  • 4
    In: Blood, American Society of Hematology, Vol. 132, No. 22 ( 2018-11-29), p. 2389-2400
    Abstract: Follicular lymphoma (FL) is a common indolent B-cell malignancy with a variable clinical course. An unfavorable event in its course is histological transformation to a high-grade lymphoma, typically diffuse large B-cell lymphoma. Recent studies show that genetic aberrations of MYC or its overexpression are associated with FL transformation (tFL). However, the precise molecular mechanisms underlying tFL are unclear. Here we performed the first profiling of expression of microRNAs (miRNAs) in paired samples of FL and tFL and identified 5 miRNAs as being differentially expressed. We focused on one of these miRNAs, namely miR-150, which was uniformly downmodulated in all examined tFLs (∼3.5-fold), and observed that high levels of MYC are responsible for repressing miR-150 in tFL by binding in its upstream region. This MYC-mediated repression of miR-150 in B cells is not dependent on LIN28A/B proteins, which influence the maturation of miR-150 precursor (pri-miR-150) in myeloid cells. We also demonstrated that low miR-150 levels in tFL lead to upregulation of its target, namely FOXP1 protein, which is a known positive regulator of cell survival, as well as B-cell receptor and NF-κB signaling in malignant B cells. We revealed that low levels of miR-150 and high levels of its target, FOXP1, are associated with shorter overall survival in FL and suggest that miR-150 could serve as a good biomarker measurable in formalin-fixed paraffin-embedded tissue. Overall, our study demonstrates the role of the MYC/miR-150/FOXP1 axis in malignant B cells as a determinant of FL aggressiveness and its high-grade transformation.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2018
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  • 5
    In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 1-3
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2022
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  • 6
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 474-474
    Abstract: Abstract 474 BACKGROUND: Autologous stem cell transplantation (autoSCT) is considered as standard treatment for non-frail patients with mantle cell lymphoma (MCL). However, little is known about outcome of MCL recurrence after autoSCT. We therefore conducted a retrospective analysis of patients with MCL who failed autoSCT using the EBMT database. PRIMARY OBJECTIVE was to analyse outcome and prognostic factors after relapse following autoSCT for MCL in the rituximab era. PRIMARY ENDPOINT was overall survival (OS) from relapse. ELIGIBLE were patients aged 18 years or more who relapsed following an autoSCT for MCL performed between 2000 and 2010 and who were registered with the EBMT. Centres were contacted to provide additional information on relapse treatment. STATISTICAL ANALYSIS was based on log-rank comparisons and multivariable testing using Cox regression models. RESULTS: 1054 patients meeting the eligibility criteria could be identified in the EBMT registry. Of these, a full data set could be retrieved for 382 patients. Sixteen patients had to be excluded due to loss of follow up (n=7), wrong diagnosis (n=6), or falsely reported relapse (n=3). Median age at autoSCT of 366 evaluable patients was 59 years (range: 37 to 76), 290 patients (79%) were men. 64% had undergone autoSCT as part of 1st-line therapy; 68% and 49% had documented exposure to rituximab (RTX) and high-dose ara-C (HA) before autoSCT; and 12% had had refractory disease at autoSCT. Median time from autoSCT to relapse was 20 months (range: 0.4 to 117). 21 relapses (6%) occurred beyond 5 years after autoSCT. With a median observation time of 37 months (95% CI 32–43), median OS after relapse of the whole study group was 20 months. By univariate analysis, a long ( 〉 12mo) interval between autoSCT and relapse (p 〈 0.001; HR 0.26; Figure 1A), 1st-line autoSCT (p=0.006; HR 0.7) refractory disease at autoSCT (p 〈 0.001, HR 2.0) and more recent year of relapse (p 〈 0.001, HR per year 0.9) significantly influenced OS from relapse, whereas age, gender, RTX and HA exposure did not. By multivariate analysis refractory disease at autoSCT (p 〈 0.001, HR=2.14), remission duration after autoSCT (p 〈 0.001 HR per 3 months 0.88) and calendar year of relapse (p 〈 0.03, HR per year 0.93) were confirmed to be predictors for OS. In addition, HA exposure prior autoSCT adversely affected OS from relapse (p=0.06, HR 1.38). Salvage chemotherapy after relapse resulted in only 31% complete responses and 29% partial responses, whereas 40% of patients have been refractory to first salvage chemotherapy. 83 patients (23%) received an allogeneic SCT (alloSCT), whereas only 7 patients (2%) received a second autoSCT after relapse. Median time after relapse to second SCT was 7 months (range: 1 to 40). Survival after relapse for patients who received a second autoSCT was poor with no long-term survivor. AlloSCT performed for late relapse ( 〉 12mo) after autoSCT was associated with superior OS compared to patients who received an allograft upon a shorter remission duration after autoSCT (5-year OS from alloSCT 50% vs 0%; p=0.001; Figure 1B). Achievement of CR before alloSCT (p=0.05 HR=0.5), but not donor source, T-cell depletion or conditioning intensity affected OS after alloSCT. CONCLUSIONS: Patients with MCL who relapse within one year after autoSCT have an extremely dismal outcome even with alloSCT. In contrast, about half of the patients who have MCL recurrence beyond one year after autoSCT and can undergo salvage alloSCT enjoy long-term survival. It remains to be shown if a similarly good outcome can be achieved without alloSCT in this favourable selection of patients. A 2nd autoSCT does not appear to be a promising option in patients with MCL failing a 1st autoSCT. Disclosures: Walewski: Mundipharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Roche: Honoraria, Speakers Bureau; GSK: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Membership on an entity's Board of Directors or advisory committees; Cephalon: 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: 2012
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  • 7
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 5637-5637
    Abstract: Background Chronic lymphocytic leukemia (CLL) in most patients is diagnosed with early stage disease identified incidentally on blood counts obtained for unrelated purposes. Immunophenotyping of peripheral blood (PB) is required for the diagnosis of CLL. A scoring system that helps in the differential diagnosis between CLL and other mature B-cell neoplasms (MBN) has been described twenty years ago (Matutes et al., Leukemia 1994; modified by Moreau et al., Am J Clin Pathol 1997). CLL/SLL typically demonstrates low-intensity staining for surface immunoglobulin, low or absent expression of CD22, CD79b and FMC7 and moderate to strong expression of CD5 and CD23. However, this phenotype is not entirely specific and some overlap in immunophenotype exists between CLL and non-CLL MBN. In particular, leukemic phase of CD5 positive mantle cell lymphoma (MCL) can be misdiagnosed as CLL. Recently, it has been shown that CD200 expression may help in differential diagnosis between CLL and other MBN. The present study aimed to prove CD200 usefulness in differentiating CLL from MCL on a series of consecutive patients and to investigate whether adding CD200 could improve the utility of Matutes scoring system, especially in atypical CLL. Methods Between January 2013 and March 2014, PB of consecutive patients with MBN was assessed in this study. Analysis was performed on a FACSCalibur flow cytometer (Becton Dickinson) and samples were stained with panels of 4-color combinations of antibodies using a standard whole-blood assay. PB specimens were incubated with antibodies purchased from eBioscience (CD200 APC, clone OX-104), Immunotech (CD23, CD79b, FMC7), BD Biosciences (CD5, CD19), and DAKO (sIg). At least 5,000 B-cells were immediately acquired on flow cytometer. Diagnosis of CLL was made according to National Cancer Institute-Working Group criteria. Furthermore, tissue biopsies of 62 (31%) CLL cases were available for histological review, including all cases of atypical CLL. Diagnosis of MCL was based on morphology and immunohistochemical detection of cyclin D1 in tissue biopsies and further confirmed by detection of t(11;14) by FISH in selected cases. Results Table 1 provides details of the patient characteristics. In our series, CD200 was present on neoplastic B-cells of all 200 CLL cases (100%), whereas only 4 cases (8.7%) of MCL showed dim positivity of CD200. The remaining 42 cases (91.3%) of MCL were negative for CD200 expression. The revised Matutes score was calculated to classify CLL cases. All 179 cases of typical CLL (defined by a score ≥ 4) presented moderate to strong expression of CD200 (Median fluorescence intensity - MFI: median = 161). CD200 was also positive in all 21 cases of atypical CLL (defined by a score 〈 4), but showed lower intensity (MFI: median 128) than that observed in typical CLL (P = 0.02). Application of the Matutes scoring system to MCL cases showed that three cases scored 3 (6.5%), two cases scored 4 (4.3%) and none scored 5. Of note, CD200 was absent in two cases scoring 3 and was only dimly expressed in the remaining MCL cases scoring 3 or 4. Thus, the differential expression of CD200 in CLL and MCL retained even in those cases with otherwise indeterminate immunophenotype, therefore being particularly helpful for the distinction of atypical CLL and MCL. Conclusions Flow cytometry is an essential tool for the diagnosis of CLL. However, a significant immunophenotypic overlapping occurs especially between CLL and MCL cells. In this study, we investigated the expression of recently identified marker CD200 in PB of consecutive CLL and MCL patients. We have confirmed previous reports that CD200 is consistently expressed in all typical CLL. Furthermore, CD200 was expressed by all immunophenotypically atypical CLL cases. On the contrary, in MCL patients CD200 showed only a dim positivity in four subjects and was absent in the remaining 42. The inclusion of CD200 in the MBN routine flow cytometry panels facilitates the differential diagnosis between CLL and MCL and has a great impact on accurate diagnosis in cases with immunophenotypic aberrancies. This work was supported by grant RVO VFN64165 and PRVOUK P27/LF1/1 Table 1 MCL (46 pts.) CLL (200 pts.) Age (median, range) 66.7; 47.8-82.4 67.6; 32.2-90.7 Sex (F/M) 19/27 74/126 WBC x109/L (median, range) 10; 2.1-285.4 21.9; 2.8-375.2 % neoplastic B-cells of WBC (median, range) 17.1; 1.3-90.5 54; 1.7-94.7 CD200 MFI (median, range) 2.16; 1-53.2 147.5; 20.6-637 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. 138, No. Supplement 1 ( 2021-11-05), p. 2635-2635
    Abstract: The use of novel small molecule inhibitors alone or in combination with anti-CD20 monoclonal antibodies for chronic lymphocytic leukemia (CLL) has raised a number of questions on efficacy, tolerability, long-term treatment adherence in patients with heterogeneous clinical features. To fill this gap, we designed a study focusing on treatment sequencing in patients with CLL in order to (i) compare the outcome of patients treated with chemoimmunotherapy (CIT) combinations in first-line versus those receiving Bruton's tyrosine kinase inhibitors (BTKi); (ii) characterize the efficacy and tolerability of venetoclax-based regimens; (ii) understand the impact of treatment sequencing when it comes to chemo-free options including venetoclax after BTKi and vice versa. Data from consecutive sets of patients diagnosed with CLL between 2000-2020 attended at 77 institutions affiliated with ERIC were collected and analyzed. Collected variables included: demographics, clinical stage at diagnosis, IGHV gene somatic hypermutation status; cytogenetic status for chromosomes 11q, 13q 17p and 12 determined by fluorescence in situ hybridization; TP53 gene mutation status; treatment; treatment response; discontinuation; reason for discontinuation; death. We included 9173 patients with a diagnosis of CLL who received at least one line of treatment. The median age at diagnosis was 67 years with a male:female ratio of 1.9. The median follow-up was 78 months (IQR, 48-120 months). Regarding novel targeted agents, 1860/9173 (20.2%) patients had received at least one line of treatment with BTKi (ibrutinib, n=1788; acalabrutinib, n=72) over the disease course; 631/9173 (6.9%) with venetoclax; and, 447/9173 (4.9%) with the PI3K inhibitor idelalisib. Seventy-nine patients were treated with both BTKi and venetoclax (59 BTKi followed by BCL2i, 20 vice versa). At last follow-up, 5870/9173 patients (64.0%) were alive, 3229/9173 (35.2%) died and 74/9173 (0.8%) were lost to follow-up. Patients treated with BTKi in first-line were enriched for TP53 aberrations [del(17p) 27.6%, TP53 mutation 26.3%] and unmutated IGHV genes (69%) and obtained an ORR of 87.7%. Of these, 136 (26.3%) discontinued treatment after a median of 1.2 years (0.07-5.98); main reasons of discontinuation were toxicity (40.5%) and failure (26.2%). Among 631 patients treated with venetoclax at any line, 100 (15.8%) received BCL2 +/- anti-CD20 as first-line; 170 (26.9%) as second line (125 previously treated with CIT, 27 with BTKi); and, 361 as third or subsequent line. ORR ranged between 71.5% (≥3 lines) with 30.5% CR/CRi to 90.3% (first-line) with 68.1% CR/CRi. Treatment discontinuation was due to toxicity in 28.6% of patients treated in the first-line, and 17.6% and 21.8% of patients treated in second and third-or-higher-line, respectively. Disease progression led to treatment discontinuation in 14.3%, 20.6% and 33.6% in first, second and third-or-higher line, respectively. CIT was used as front-line treatment in 5465 patients (59.6%). Of these, 2070 (37.9%) and 1018 (18.6%) patients received a second and third line of treatment, respectively. The great majority (865/1086 cases, 79.7%) of patients who received a second line before 2014 were retreated with CIT, most commonly Bendamustine-Rituximab (284/1086, 26.1%) and Fludarabine-Cyclophosphamide-Rituximab (252/1086, 23.2%); alemtuzumab monotherapy was used in 55/1086 (5%) of patients. After 2014, 415/984 patients (42.1%) were retreated with BTKi; 93 (9.5%) with venetoclax; 70 (7.2%) with idelalisib; 50 (5%) with Alemtuzumab monotherapy, and 315 (32%) with CIT. Similarly, in the third-or-higher line of treatment, most patients (86.3%) were retreated with CIT before 2014, while BTKi, BCL2i, and PI3Ki were mainly used after 2014 (in 43.1%, 15.7% and 14.7% of cases, respectively). Finally, our cohort included 1075 patients with TP53 aberrations. The ORR of patients receiving BTKis (n=171) as first-line of treatment was 86.5% (22.2 CR+64.3 PR), while the ORR with venetoclax +/- anti-CD20 (n=15) was 91% (45.5% CR+45.5 PR). Patients treated with CIT (n=694) had an ORR of 68.7% (28.3% CR+40.4% PR). In conclusion, in a large international study we provide real world data regarding the selection and sequencing of treatment in CLL, charting a major shift in treatment patterns before and after the introduction of novel trargeted agents and confirming their efficacy even in high-risk CLL. Disclosures Scarfo: Janssen: Honoraria, Other: Travel grants; Astra Zeneca: Honoraria; Abbvie: Honoraria. Iacoboni: BMS/Celgene, Gilead, Novartis, Janssen, Roche: Honoraria. Collado: Abbvie,: Other: pharmaceutical Company, Research Funding; Janssen: Other: Pharmaceutical Company, Research Funding. Galimberti: AbbVie, Janssen: Honoraria, Other: Travel grants; Incyte: Speakers Bureau. García-Serra: AbbVie: Other: Educational grands; Janssen: Other: Educational grants; Novartis: Other: Educational grants. Gozzetti: Janssen: Honoraria; AbbVie: Honoraria. Hatzimichael: Amgen, Roche, Genesis, Novartis, Bristol Mayer Squibb, Celgene, Pfizer: Consultancy; Abbvie, Amgen, Bristol Mayer Squibb, MSD, Gilead, Janssen Cilag, Genesis Pharma, Roche, Takeda: Honoraria. Herishanu: AbbVie: Honoraria, Research Funding; Janssen: Honoraria; Roche: Honoraria; Medison: Honoraria. Jaksic: Roche, Oktal-Pharma/Celtrion, Sandoz: Consultancy, Honoraria. Kater: Janssen, AstraZeneca: Other: Ad Board, steering committee, Research Funding; Abbvie: Honoraria, Other: Ad Board, Research Funding; BMS, Roche/Genentech: Other: Ad Board, , Research Funding; Genmab, LAVA: Other: Ad Board, Steering Committee. Kotsianidis: Astellas: Other: NONE, Research Funding, Speakers Bureau; Genesis: Consultancy, Other: NONE; Janssen Hellas: Consultancy, Other: NONE, Speakers Bureau; Bristol Hellas: Consultancy, Other: NONE, Research Funding, Speakers Bureau; Novartis Hellas: Consultancy, Other: NONE, Research Funding, Speakers Bureau; Abbvie: Consultancy, Other: NONE, Research Funding, Speakers Bureau. Kreitman: NIH: Patents & Royalties: Moxetumomab Pasudotox; Genentech: Research Funding; Teva: Research Funding; AstraZeneca/MedImmune: Research Funding; Innate: Research Funding; GSK/Novartis: Research Funding; Array BioPharma/Pfizer: Research Funding. Laribi: BeiGene: Other: Personal Fees; Jansen: Research Funding; Novartis: Other: Personal Fees, Research Funding; Astellas Phama, Inc.: Other: Personal Fees; AstraZeneca: Other: Personal Fees; Le Mans Hospital: Research Funding; Takeda: Other: Personal Fees, Research Funding; AbbVie: Other: Personal Fees, Research Funding; IQONE: Other: Personal Fees. Lopez-Garcia: Roche: Other: Speaker Honoraria, Travel and accommodation grants; Novonordisk: Other: Speaker Honoraria; Fresenius: Other: Speaker Honoraria; Celgene: Other: Speaker Honoraria; Abbvie: Other: Speaker Honoraria, Advisor, Travel and accommodation grants; Janssen: Other: Speaker Honoraria, Advisor, Travel and accommodation grants, Research Funding. Milosevic: Roche: Honoraria; Abbvie,: Honoraria; Janssen: Honoraria; Sandoz: Honoraria. Reda: Beigene: Consultancy; Astra Zeneca: Consultancy; Abbvie: Consultancy; Janssen: Consultancy. Ruchlemer: AbbVie: Consultancy, Honoraria, Research Funding. Šimkovič: Janssen, Gilead, Roche, AstraZeneca, and AbbVie: Other: consultancy fees, advisory board participation fees, travel grants, and honoraria; University Hospital Hradec Kralove: Current Employment; AbbVie: Consultancy, Current equity holder in publicly-traded company, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Merck: Current equity holder in publicly-traded company; Eli Lilly: Current equity holder in publicly-traded company; J & J: Current equity holder in publicly-traded company; Gilead: Other: Travel, Accommodations, Expenses. Špaček: AbbVie, AstraZeneca, Gilead, Janssen, and Roche: Honoraria. Tadmor: Janssen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding. Visentin: Italfarmaco and Gilead: Speakers Bureau. Vassilakopoulos: AstraZeneca: Honoraria; Amgen: Honoraria, Research Funding; Pfizer: Research Funding; Dr. Reddy's: Research Funding; Novartis: Consultancy, Honoraria; GlaxoSmithKline: Honoraria, Other: Travel; Merck: Honoraria, Research Funding; Integris: Honoraria; Roche: Consultancy, Honoraria, Other: Travel; Genesis Pharma: Consultancy, Honoraria, Other: Travel; Takeda: Consultancy, Honoraria, Other: Travel, Research Funding; AbbVie: Consultancy, Honoraria; Karyopharm: Research Funding. Vitale: Janssen: Honoraria. Yáñez: Gilead-Kite, Janssen, AbbVie, AstraZeneca, Beigene, Roche, Pfizer, Jazz, BMS, and Merck: Other: Advisory board participation fees ; Janssen, AbbVie, AstraZeneca, Gilead-Kite, Roche, Pfizer, and Merck: Speakers Bureau. Antic: AbbVie, Janssen, and Roche: Honoraria. Coscia: Janssen: Honoraria, Other, Research Funding; Gilead: Honoraria; AstraZeneca: Honoraria; AbbVie: Honoraria, Other. Cuneo: AstraZeneca: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Gilead: Consultancy, Speakers Bureau; AbbVie: Consultancy, Speakers Bureau. Gaidano: Beigene: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astrazeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Guièze: Janssen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria; Astrazeneca: Consultancy, Honoraria. Laurenti: AstraZeneca: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding; Roche: Honoraria, Research Funding; Gilead: Honoraria; Janssen: Consultancy, Honoraria; BeiGene: Honoraria. Murru: Abbvie: Consultancy, Honoraria, Other: travel and accommodation; Janssen: Consultancy, Honoraria. Sportoletti: AstraZeneca: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Tam: Beigene: Research Funding; Janssen: Research Funding; Abbvie: Research Funding; Loxo: Honoraria; Beigene: Honoraria; Janssen: Honoraria; Abbvie: Honoraria. Trněný: Amgen: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; Gilead Sciences: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Incyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; MorphoSys: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; Celgene: Consultancy; 1st Faculty of Medicine, Charles University, General Hospital in Prague: Current Employment; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Portola: Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Honoraria; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses. Bosch Albareda: Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Gilead: Consultancy, Honoraria; Abbvie: Consultancy; AstraZeneca: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding, Speakers Bureau; Takeda: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Kite: Honoraria; Sanofi: Honoraria; Lilly: Honoraria. Doubek: Janssen-Cilag, AbbVie, AstraZeneca, Amgen, Gilead, Novartis: Honoraria, Research Funding. Chatzidimitriou: Abbvie: Honoraria, Research Funding; Janssen: Honoraria, Research Funding. Ghia: AbbVie: Consultancy, Honoraria, Research Funding; Acerta/AstraZeneca: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding; ArQule/MSD: Consultancy, Honoraria; BeiGene: Consultancy, Honoraria; Celgene/Juno/BMS: Consultancy, Honoraria; Gilead: Consultancy, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria; Sunesis: Research Funding. Stamatopoulos: AstraZeneca: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Gilead: Honoraria, Research Funding; Janssen: Honoraria, Research Funding.
    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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  • 9
    In: Blood, American Society of Hematology, Vol. 137, No. 5 ( 2021-02-4), p. 646-660
    Abstract: Richter’s transformation (RT) is an aggressive lymphoma that occurs upon progression from chronic lymphocytic leukemia (CLL). Transformation has been associated with genetic aberrations in the CLL phase involving TP53, CDKN2A, MYC, and NOTCH1; however, a significant proportion of RT cases lack CLL phase–associated events. Here, we report that high levels of AKT phosphorylation occur both in high-risk CLL patients harboring TP53 and NOTCH1 mutations as well as in patients with RT. Genetic overactivation of Akt in the murine Eµ-TCL1 CLL mouse model resulted in CLL transformation to RT with significantly reduced survival and an aggressive lymphoma phenotype. In the absence of recurrent mutations, we identified a profile of genomic aberrations intermediate between CLL and diffuse large B-cell lymphoma. Multiomics assessment by phosphoproteomic/proteomic and single-cell transcriptomic profiles of this Akt-induced murine RT revealed an S100 protein-defined subcluster of highly aggressive lymphoma cells that developed from CLL cells, through activation of Notch via Notch ligand expressed by T cells. Constitutively active Notch1 similarly induced RT of murine CLL. We identify Akt activation as an initiator of CLL transformation toward aggressive lymphoma by inducing Notch signaling between RT cells and microenvironmental T cells.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    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. 134, No. Supplement_1 ( 2019-11-13), p. 2816-2816
    Abstract: Background: Mantle cell lymphoma (MCL) is a distinct subtype of lymphoma with a wide variation of clinical course. Based on randomized trials of our network, current standard of care is a cytarabine-containing immunochemotherapy induction (Hermine, Lancet 2016) followed by autologous stem cell transplantation (SCT; Zöllner, ICML 2019) and rituximab maintenance for 3 years (Le Gouill, NEJM 2018). In relapsed MCL the BTK inhibitor ibrutinib achieves high response rates and ongoing remissions (Wang, NEJM 2013; Dreyling, Lancet 2016). This approach achieved especially longer remission durations in earlier treatment lines (Rule, Hamatologica 2019). We aim to clarify whether ibrutinib added to induction and as maintenance with or without autologous stem cell transplantation might improve outcome. Study design and methods: In this international, randomized three-arm phase III trial (EudraCT-no. 2014-001363-12) young, fit patients ( up to 65 years) with histologically confirmed, untreated mantle cell lymphoma advanced stage II-IV qualify for 1:1:1 randomization after written informed consent according to ICH/EU GCP. In the control arm A, patients receive an alternating R-CHOP/R-DHAP induction followed by myeloablative consolidation (either BEAM or THAM: TBI, high dose Ara-C and melphalan). In arm A+I Ibrutinib is added to the R-CHOP cycles (560 mg day 1-19) and applied as maintenance (continuous dosing) for 2 years. In arm I the same induction and maintenance is applied but high dose consolidation and autologous SCT is skipped. A rituximab maintenance (single doses every 2 months up to 3 years) may be added in all study arms according to national clinical routine. The primary study aim is to show superiority of one of three study arms as future standard of care based on the comparison of the investigator-assessed failure-free survival (FFS), i.e. to investigate if the addition of ibrutinib improves the efficacy of standard 1st line treatment, and can even challenge the use of high-dose chemotherapy with autologous SCT. Secondary study aims include the efficacy of the three treatment arms and the safety and tolerability of ibrutinib during induction immuno-chemotherapy and maintenance. Accordingly, overall and complete response rates, progression-free and overall survival will be determined as well as adverse events during induction immuno-chemotherapy and follow-up including the cumulative incidence rates of SPMs. In addition, minimal residual disease is regularly determined based on patient-specific PCR assay according to the standardized Biomed-2 procedure. Results: As of July 30th, 511 of up to 870 patients have been randomized from 12 different European countries. In a meanwhile completed safety run-in of the initial 50 patients, feasibility of the two experimental arms was confirmed with no major differences in hematological and other toxicities and no major delays during induction. Disclosures Dreyling: Acerta: Other: Scientific advisory board; Novartis: Other: Scientific advisory board; Mundipharma: Other: Scientific advisory board, Research Funding; Janssen: Other: Scientific advisory board, Research Funding, Speakers Bureau; Gilead: Other: Scientific advisory board, Speakers Bureau; Celgene: Other: Scientific advisory board, Research Funding, Speakers Bureau; Bayer: Other: Scientific advisory board, Speakers Bureau; Sandoz: Other: Scientific advisory board; Roche: Other: Scientific advisory board, Research Funding, Speakers Bureau. Ladetto:Roche: Honoraria; AbbVie: Honoraria; J & J: Honoraria; Celgene: Honoraria; Pfizer: Honoraria, Speakers Bureau; Acerta: Honoraria, Speakers Bureau; ADC Therapeutics: Honoraria. Doorduijn:Roche: Honoraria, Research Funding. Gine:Janssen: Other: Travel expenses, Research Funding; Gilead: Other: Travel expenses, Research Funding; Roche: Other: Travel expenses, Research Funding. Jerkeman:Janssen: Honoraria, Research Funding; Gilead: Honoraria, Research Funding; Acerta: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Roche: Honoraria, Research Funding. Mey:Janssen-Cilag: Consultancy; Roche: Consultancy, Research Funding. Hutchings:Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Celgene: Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding. Kolstad:Merck: Research Funding; Nordic Nanovector: Membership on an entity's Board of Directors or advisory committees, Research Funding. Trneny:Roche: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Incyte: Consultancy, Honoraria; Gilead sciences: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria. Gomes da Silva:AbbVie: Consultancy, Other: Travel support; Roche: Consultancy, Other: Travel support; Janssen-Cilag: Consultancy, Other: Travel support; Celgene: Consultancy; Gilead Siences: Other: Travel support, Research Funding. Klapper:Roche, Takeda, Amgen, Regeneron: Honoraria, Research Funding. Unterhalt:F. Hoffmann-La Roche: Research Funding. Hoster:Janssen: Research Funding; Roche Pharma AG: Other: Travel Support.
    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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