Kooperativer Bibliotheksverbund

In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 33, No. 33 ( 2015-11-20), p. 3911-3920

Abstract: At the molecular level, myeloma is characterized by copy number abnormalities and recurrent translocations into the immunoglobulin heavy chain locus. Novel methods, such as massively parallel sequencing, have begun to describe the pattern of tumor-acquired mutations, but their clinical relevance has yet to be established. Methods We performed whole-exome sequencing for 463 patients who presented with myeloma and were enrolled onto the National Cancer Research Institute Myeloma XI trial, for whom complete molecular cytogenetic and clinical outcome data were available. Results We identified 15 significantly mutated genes: IRF4, KRAS, NRAS, MAX, HIST1H1E, RB1, EGR1, TP53, TRAF3, FAM46C, DIS3, BRAF, LTB, CYLD, and FGFR3. The mutational spectrum is dominated by mutations in the RAS (43%) and nuclear factor-κB (17%) pathways, but although they are prognostically neutral, they could be targeted therapeutically. Mutations in CCND1 and DNA repair pathway alterations (TP53, ATM, ATR, and ZNFHX4 mutations) are associated with a negative impact on survival. In contrast, those in IRF4 and EGR1 are associated with a favorable overall survival. We combined these novel mutation risk factors with the recurrent molecular adverse features and international staging system to generate an international staging system mutation score that can identify a high-risk population of patients who experience relapse and die prematurely. Conclusion We have refined our understanding of genetic events in myeloma and identified clinically relevant mutations that may be used to better stratify patients at presentation.

Type of Medium: Online Resource

ISSN: 0732-183X , 1527-7755

URL: Article

DOI: 10.1200/JCO.2014.59.1503

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2015

detail.hit.zdb_id: 2005181-5

In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 1553-1555

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2022-164742

Language: English

Publisher: American Society of Hematology

Publication Date: 2022

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 430-432

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2022-167390

Language: English

Publisher: American Society of Hematology

Publication Date: 2022

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 125, No. 5 ( 2015-01-29), p. 831-840

Abstract: Coexistent hyperdiploidy or t(11;14) does not abrogate the poor prognosis associated with adverse cytogenetics in myeloma patients. Single-cell analysis reveals that hyperdiploidy may precede IGH translocation in the clonal history of a proportion of patients with both.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2014-07-584268

Language: English

Publisher: American Society of Hematology

Publication Date: 2015

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 2088-2090

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2022-158992

Language: English

Publisher: American Society of Hematology

Publication Date: 2022

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 22, No. 23 ( 2016-12-01), p. 5783-5794

Abstract: Purpose: Epigenetic dysregulation is known to be an important contributor to myeloma pathogenesis but, unlike other B-cell malignancies, the full spectrum of somatic mutations in epigenetic modifiers has not been reported previously. We sought to address this using the results from whole-exome sequencing in the context of a large prospective clinical trial of newly diagnosed patients and targeted sequencing in a cohort of previously treated patients for comparison. Experimental Design: Whole-exome sequencing analysis of 463 presenting myeloma cases entered in the UK NCRI Myeloma XI study and targeted sequencing analysis of 156 previously treated cases from the University of Arkansas for Medical Sciences (Little Rock, AR). We correlated the presence of mutations with clinical outcome from diagnosis and compared the mutations found at diagnosis with later stages of disease. Results: In diagnostic myeloma patient samples, we identify significant mutations in genes encoding the histone 1 linker protein, previously identified in other B-cell malignancies. Our data suggest an adverse prognostic impact from the presence of lesions in genes encoding DNA methylation modifiers and the histone demethylase KDM6A/UTX. The frequency of mutations in epigenetic modifiers appears to increase following treatment most notably in genes encoding histone methyltransferases and DNA methylation modifiers. Conclusions: Numerous mutations identified raise the possibility of targeted treatment strategies for patients either at diagnosis or relapse supporting the use of sequencing-based diagnostics in myeloma to help guide therapy as more epigenetic targeted agents become available. Clin Cancer Res; 22(23); 5783–94. ©2016 AACR.

Type of Medium: Online Resource

ISSN: 1078-0432 , 1557-3265

URL: Article

DOI: 10.1158/1078-0432.CCR-15-1790

Language: English

Publisher: American Association for Cancer Research (AACR)

Publication Date: 2016

detail.hit.zdb_id: 1225457-5

detail.hit.zdb_id: 2036787-9

In: Genes, Chromosomes and Cancer, Wiley, Vol. 54, No. 2 ( 2015-02), p. 91-98

Abstract: Risk stratification in myeloma requires an accurate assessment of the presence of a range of molecular abnormalities including the differing IGH translocations and the recurrent copy number abnormalities that can impact clinical behavior. Currently, interphase fluorescence in situ hybridization is used to detect these abnormalities. High failure rates, slow turnaround, cost, and labor intensiveness make it difficult and expensive to use in routine clinical practice. Multiplex ligation‐dependent probe amplification (MLPA), a molecular approach based on a multiplex polymerase chain reaction method, offers an alternative for the assessment of copy number changes present in the myeloma genome. Here, we provide evidence showing that MLPA is a powerful tool for the efficient detection of copy number abnormalities and when combined with expression assays, MLPA can detect all of the prognostically relevant molecular events which characterize presenting myeloma. This approach opens the way for a molecular diagnostic strategy that is efficient, high throughput, and cost effective. © 2014 The Authors. Genes, Chromosomes & Cancer Published by Wiley Periodicals, Inc.

Type of Medium: Online Resource

ISSN: 1045-2257 , 1098-2264

URL: Issue

URL: Article

DOI: 10.1002/gcc.v54.2

DOI: 10.1002/gcc.22222

Language: English

Publisher: Wiley

Publication Date: 2015

detail.hit.zdb_id: 1018988-9

detail.hit.zdb_id: 1492641-6

SSG: 12

In: Nature Communications, Springer Science and Business Media LLC, Vol. 6, No. 1 ( 2015-04-23)

Type of Medium: Online Resource

ISSN: 2041-1723

URL: Article

DOI: 10.1038/ncomms7997

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2015

detail.hit.zdb_id: 2553671-0

In: Blood, American Society of Hematology, Vol. 122, No. 21 ( 2013-11-15), p. 529-529

Abstract: The development of the cytogenetic abnormalities hyperdiploidy or a translocation involving the immunoglobulin heavy chain are initiating events in the pathogenesis of myeloma. Previous studies have shown that hyperdiploidy is associated with a more favorable outcome whilst the presence of specific translocations (4;14), (14;16) and (14;20) are associated with poor clinical outcomes especially when they occur in association with other high risk features such as del17p and 1q+. While it has been generally accepted that these events are mutually exclusive, review of a number of clinical datasets shows that they occur together in a significant proportion of cases. This raises the mechanistic issue of which cytogenetic abnormality occurs first as well as the more practical issue of what it means for prognosis. In order to address these important questions we have investigated these cases with interphase FISH (iFISH) as well as determining their outcome in the Myeloma IX study. Myeloma IX is a large study (1960 newly diagnosed myeloma patients) that has been extensively described. iFISH results with a complete data set for hyperdiploidy, adverse IgH translocations, 1q+ and del17p were available for 847 patients with a median follow up of 5.9 years. 58% of patients (499/847) had hyperdiploidy and had a significantly improved survival compared with non-hyperdiploid patients (Median OS 49.7 vs 42.8 months, p=0.016 and PFS 18.8 vs 16.3 months, p=0.028). Hyperdiploid patients were divided into those who had one or more of the adverse lesions t(4;14), t(14;16), t(14;20), del17p and 1q+ (61%, 304/499) and their outcome was compared to those with none (39%, 195/499). The overall and progression free survival was significantly worse for those with hyperdiploidy plus an adverse lesion compared to those with hyperdiploidy alone (Median OS 60.9 vs 35.7 months, p 〈 0.001, median PFS 23 vs 15.4 months, p 〈 0.001). These results remained significant on multivariate analysis. When subdivided into those patients with hyperdiploidy plus: del17p alone, 1q+ alone, an adverse translocation alone or 〉 1 adverse lesion, there remained a significant detrimental effect on survival (OS and PFS) for the del17p, 1q+ and 〉 1 lesion groups and a trend towards worse survival for those with an adverse translocation (numbers too small to prove significance) when compared to those with hyperdiploidy and no adverse lesion. (table 1) Table 1 HD = Hyperdiploidy No. of patients PFS (months) OS (months) HD, no adverse lesions 304 23 60.9 HD plus del 17p 20 19.1 (p=0.019) 35.2 (p=0.003) HD plus 1q+ 142 15.4 (p 〈 0.001) 38.1 (p 〈 0.001) HD plus adverse translocation 9 15.4 (p=0.272) 40.1 (p=0.180) HD plus 〉 1 lesion 24 12.1 (p 〈 0.001) 19.9 (p 〈 0.001) The converse situation was also examined by taking each population with an abnormal lesion and dividing them by the presence or absence of hyperdiploidy. 409/847 (48%) of patients had at least one adverse lesion and they had a significantly worse outcome within the whole data set than those without any adverse lesions (OS 60.6 vs 33.7 months, p 〈 0.001, PFS 23.3 vs 15 months, p 〈 0.001). When the impact of hyperdiploidy within the high-risk population (195/409 hyperdiploid, 214/409 non-hyperdiploid) was examined there was no difference in survival, (OS 35.7 vs 33.6 months p=0.64, PFS 15.4 vs 14.5 months, p=0.58). This remained true across each adverse lesion when individually analysed. A group of patients with hyperdiploidy and a (4;14) translocation were analysed at a single-cell level using iFISH. Within each case the percentage of cells with a translocation was consistently high, whereas the frequency of individual chromosomal trisomies varied. This suggests that the translocation event may occur earlier. Single cell genetic analysis using the Fluidigm technology is ongoing in order to confirm this finding. In conclusion, patients with co-existent hyperdiploidy and adverse cytogenetics have worse outcomes than those with hyperdiploidy alone. The progression of their disease is not different to those patients with adverse cytogenetics alone and our data suggests that the presence of hyperdiploidy is not able to abrogate or even ameliorate this adverse prognostic feature. It is important that this is recognised when designing treatment strategies for this group of patients as they should be treated with more aggressive chemotherapy regimens to maximize their response and control disease. Disclosures: No relevant conflicts of interest to declare.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V122.21.529.529

Language: English

Publisher: American Society of Hematology

Publication Date: 2013

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 3271-3271

Abstract: Background: Patients treated with cytotoxic chemotherapies and/or autologous stem-cell transplantation (ASCT) are at risk for therapy-related myeloid neoplasms (tMN). As these agents yield increased mutation burden in relapsed malignancies and leave evidence of exposure via mutational signatures, we studied the genomic and temporal relationship between chemo exposure and progression of clonal hematopoiesis (CH) to tMN. Methods: We analyzed 32 tMN whole genomes (WG) from 31 patients [27 acute myeloid leukemias (AML), 4 myelodysplastic syndromes]. For 7 patients with tMN post-high-dose melphalan/ASCT, we investigated the presence of antecedent CH using targeted sequencing (MSK-IMPACT; Bolton et al. Nat Gen 2020) on pre-melphalan blood mononuclear cells, granulocytes, or CD34+ apheresis samples. Results: TMN was diagnosed a median of 4.2 years (IQR, 2.6-6.6) following primary treatment. When compared to data from 200 de novo AML from TCGA (NEJM, 2013), tMNs had fewer mutations in FLT3 (9.7% v 28.0%; p = 0.028) and NPM1 (3.2% v 27.0%; p = 0.003). TP53 loss was enriched in tMNs (25.8% v 10.5%; p = 0.035 ). Mutational signature analysis revealed 5 known single base substitution (SBS) signatures in tMN: the hematopoietic stem-cell (SBS-HSC), aging (SBS1), melphalan (SBS-MM1), and platinum signatures (E-SBS1, E-SBS20) (Rustad et al. Nat Comm 2020, Pich et al. Nat Gen 2019). Complex structural variants (SV), defined as ≥3 breakpoint pairs involved in simultaneous copy number changes (Rustad et al. Blood Can Disc 2020), were observed in 7 tMNs; including chromothripsis in 6 tumors (19.4%), chromoplexy in 2 (6.5%), templated insertion in 1 (3.2%), and unspecified complex SV in 2 (6.5%). Chromothripsis has not been previously reported in de novo AML and, in 4 cases, involved chromosome 19 with hyper-amplification of the SMARCA4 locus (≥5 copies). CH variants that became clonal in tumor were seen in 5/7 pre-melphalan/ASCT samples and included mutations in TP53, RUNX1, NCOR1, NF1, CREBBP, DNMT3A, and PPM1D. Chemotherapy introduces hundreds of mutations, leaving each exposed cell with a unique catalogue (i.e., barcode). In fact, TMNs with evidence of chemo signatures had a higher mutation burden (median 1574 single nucleotide variants) than those without (median 938; p = 0.004). Detection of chemo signatures in bulk genome sequencing relies on one cell, with its catalogue of mutations, to expand to clonal dominance (Fig 1a, Landau et al. Nat Comm 2020). Given the long latency between exposure and tMN diagnosis, this single-cell expansion model was expected for all samples exposed to melphalan or platinum-based regimens (i.e., agents with a measurable signature). Strikingly, all patients with pre-tMN platinum exposure (n=7) had evidence of platinum SBS signatures whereas only 2 of 7 patients with prior melphalan/ASCT had a melphalan signature (SBS-MM1). As all platinum-exposed tMN had mutational evidence of exposure, a CH clone must have existed prior to exposure, supporting a single-cell expansion model. Absence of a chemo signature for 5/7 post-melphalan/ASCT tumors despite exposure implies tumor progression driven either by multiple clones in parallel (Fig 1b) or by an unexposed clone. As latency largely excludes the former, this suggests pre-tMN CH clones were re-infused during SCT, thus avoiding chemo exposure (Fig 1c). This is supported by two lines of evidence: 1) tMNs from 2 patients exposed to sequential platinum and melphalan/ASCT had platinum but not melphalan signatures confirming single-cell expansion of the pre-tMN CH clone post-platinum but with escape from exposure to melphalan in the ASCT (Fig 1d); 2) targeted sequencing of pre-tMN samples from melphalan/ASCT patients identified tMN genomic mutations at the CH level in 5/7 cases, including in all 3 tested apheresis samples - one of which (TP53) expanded to dominance without a melphalan signature. Conclusion: WG sequencing identified novel features of tMN revealing the key driver role of complex SV. Mutational signature analyses and targeted sequencing of pre-tMN samples can increase our understanding of tMN pathogenesis and demonstrate that tMNs arising post-ASCT are often driven by CH clones that re-engraft after escaping melphalan exposure. This mode of expansion suggests that a permissive, immunosuppressed, post-transplant environment might play a more important role than chemotherapy-induced mutagenesis in tMN pathogenesis. Figure 1 Figure 1. Disclosures Diamond: Sanofi: Honoraria; Medscape: Honoraria. Watts: Rafael Pharmaceuticals: Consultancy; Genentech: Consultancy; Bristol Myers Squibb: Consultancy; Takeda: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy; Aptevo Therapeutices: Research Funding. Kazandjian: Arcellx: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees. Bradley: AbbVie: Consultancy, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Bolli: Amgen: Honoraria; Takeda: Honoraria; Janssen: Consultancy, Honoraria; Celgene/BMS: Consultancy, Honoraria. Papaemmanuil: Isabl Technologies: Divested equity in a private or publicly-traded company in the past 24 months; Kyowa Hakko Kirin Pharma: Consultancy. Scordo: Kite - A Gilead Company: Membership on an entity's Board of Directors or advisory committees; i3 Health: Other: Speaker; Omeros Corporation: Consultancy; Angiocrine Bioscience: Consultancy, Research Funding; McKinsey & Company: Consultancy. Lahoud: MorphoSys: Membership on an entity's Board of Directors or advisory committees. Stein: Jazz Pharmaceuticals: Consultancy; Foghorn Therapeutics: Consultancy; Blueprint Medicines: Consultancy; Gilead Sciences, Inc.: Consultancy; Abbvie: Consultancy; Janssen Pharmaceuticals: Consultancy; Genentech: Consultancy; Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Agios Pharmaceuticals, Inc: Consultancy; Novartis: Consultancy; Astellas: Consultancy; Syndax Pharmaceuticals: Consultancy; PinotBio: Consultancy; Daiichi Sankyo: Consultancy; Syros Pharmaceuticals, Inc.: Consultancy. Sauter: Precision Biosciences: Consultancy; Kite/Gilead: Consultancy; Bristol-Myers Squibb: Research Funding; GSK: Consultancy; Gamida Cell: Consultancy; Celgene: Consultancy, Research Funding; Genmab: Consultancy; Novartis: Consultancy; Spectrum Pharmaceuticals: Consultancy; Juno Therapeutics: Consultancy, Research Funding; Sanofi-Genzyme: Consultancy, Research Funding. Hassoun: Celgene, Takeda, Janssen: Research Funding. Mailankody: Bristol Myers Squibb/Juno: Research Funding; Physician Education Resource: Honoraria; Plexus Communications: Honoraria; Takeda Oncology: Research Funding; Jansen Oncology: Research Funding; Fate Therapeutics: Research Funding; Allogene Therapeutics: Research Funding; Legend Biotech: Consultancy; Evicore: Consultancy. Korde: Medimmune: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding. Hultcrantz: Daiichi Sankyo: Research Funding; Intellisphere LLC: Consultancy; Curio Science LLC: Consultancy; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding. Shah: Bristol Myers Squibb: Research Funding; Janssen: Research Funding. Shah: Janssen Pharmaceutica: Research Funding; Amgen: Research Funding. Park: Servier: Consultancy; Affyimmune: Consultancy; Autolus: Consultancy; Minerva: Consultancy; PrecisionBio: Consultancy; BMS: Consultancy; Novartis: Consultancy; Kura Oncology: Consultancy; Curocel: Consultancy; Artiva: Consultancy; Innate Pharma: Consultancy; Intellia: Consultancy; Amgen: Consultancy; Kite Pharma: Consultancy. Landau: Genzyme: Honoraria; Takeda, Janssen, Caelum Biosciences, Celgene, Pfizer, Genzyme: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding. Sekeres: BMS: Membership on an entity's Board of Directors or advisory committees; Takeda/Millenium: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Ho: Blueprint Medicine: Membership on an entity's Board of Directors or advisory committees. Roshal: Celgene: Other: Provision of services; Auron Therapeutics: Other: Ownership / Equity interests; Provision of services; Physicians' Education Resource: Other: Provision of services. Lesokhin: pfizer: Consultancy, Research Funding; Janssen: Honoraria, Research Funding; Iteos: Consultancy; Serametrix, Inc: Patents & Royalties; Genetech: Research Funding; Trillium Therapeutics: Consultancy; bristol myers squibb: Research Funding; Behringer Ingelheim: Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Landgren: Janssen: Other: IDMC; Janssen: Research Funding; Amgen: Honoraria; Celgene: Research Funding; Janssen: Honoraria; Amgen: Research Funding; Takeda: Other: IDMC; GSK: Honoraria. Maura: OncLive: Honoraria; Medscape: Consultancy, Honoraria.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2021-145927

Language: English

Publisher: American Society of Hematology

Publication Date: 2021

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7