Response to Treatment Among SF3B1 Mutated Myelodysplastic Syndromes (MDS): A Case-Control Study from the MDS Clinical Research Consortium (MDS CRC)

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1697-1697 ◽  
Author(s):  
Rami S. Komrokji ◽  
Amy E. DeZern ◽  
Katrina Zell ◽  
Najla H. Al Ali ◽  
Eric Padron ◽  
...  

Abstract Introduction Somatic mutations in SF3B1 ,a gene encoding a core component of RNA splicing machinery, have been identified in patients (pts) with myelodysplastic syndrome (MDS). The SF3B1 mutation (MT) is more commonly detected in pts with ring sideroblasts (RS) morphology and is associated with favorable outcome. The pattern of response among SF3B1 mutated MDS pts to available treatment options, including erythropoiesis stimulating agents (ESA), hypomethylating agents (HMA) and lenalidomide is not known. The distinct underlying disease biology among such pts may alter response to treatment. Methods Pts treated at MDS CRC institutions with MT vs wild-type SF3B1 (WT) controls were matched 1:2. Matching criteria were age at diagnosis, year of diagnosis and International Prognostic Scoring System (IPSS) category at diagnosis. IPSS category was split into two groups (Low or Int-1 vs. Int-2 or High). Matching was performed using the R package by calculating a propensity score, which was then used to determine the two most similar WT SF3B1 patients for each SF3B1-mutated pt, without replacement. Additionally, to be included in the population, pts also had to have been treated with one of the following: ESAs, HMA, or lenalidomide. Response to treatment was evaluated by international Working Group criteria (IWG 2006) and classified as response if hematological improvement or better was achieved (HI+). Survival was calculated from date of treatment until date of death or last known follow-up, unless otherwise noted. Results: We identified 48 Pts with MT and 96 matched controls. Table 1 summarizes baseline characteristics comparing MT vs WT SF3B1 cohorts. SF3B1 MT was detected more often in association with RS, as expected. The majority of pts had lower-risk disease by IPSS and revised IPSS (IPSS-R). Pts with MT had higher platelets than controls. The most common concomitant somatic mutations observed were TET2 (30%), DNMT3A (21%), and ASXL1 (7%). Median follow-up time from diagnosis was 35 months (mo). Median overall survival (OS) from diagnosis was significantly longer for patients with SF3B1 MT (108.5 mo (68.8, NA)) than wild-type controls (28.3 mo (22.3, 36.4); p < 0.001). Patients with an SF3B1 MT had a decreased hazard of death (hazard ratio [HR]: 0.49 (95% confidence limits [95% CL]: 0.29, 0.84); p = 0.009) ESA was the first line therapy for 43 pts (88%) with MT and 55 WT Pts (56%). For ESA treated pts, 14 out 40 MT Pts responded (35%) compared to 9/56 among WT Pts (16%), p 0.032. Among those treated with HMA therapy, 5 out 21 (24%) MT pts responded compared to 11/46 (24%) WT Pts (p 0.99). Finally, for Pts treated with lenalidomide 4/16 (25%) and 4/21 (19%) responded among SF3B1 MT and WT Pts respectively, p 0.7. Conclusions SF3B1 somatic mutation in MDS is commonly associated with RS, lower risk disease, and better OS. Pts with SF3B1 mutation had higher response to ESA compared WT SF3B1. No difference in response to HMA or lenalidomide was observed compared to WT patients. Response rates to lenalidomide and HMA were low in both MT patients and controls. Biologically rational therapies are needed that target this molecular disease subset. Table 1. Baseline characteristics SF3B1 MT (n=48) SF3B1 WT (n=96) P value Age median 65 67 0.6 Gender male 29 (60%) 64(67%) 0.5 Race White 44/45 (98%) 83/90 (92%) 0.34 WHO classification RA RARS RCMD RARS-T Del5 q RAEB-I RAEB-II MDS-U MDS/MPN CMML 3 24 8 4 1 3 3 2 0 0 6 9 17 2 6 10 9 3 11 9 IPSS Low Int-1 Int-2 High 29 (60%) 16 (33%) 3 (6%) 0 21 (22%) 69 (72%) 4 (4%) 2 (2%) < 0.001 IPSS-R Very low Low Intermediate High Very High 15 (31%) 26 (54%) 5 (10%) 2 (4%) 0 11 (11%) 37 (39%) 26 (27%) 18 (19%) 4 (4%) <0.001 Lab values (mean) Hgb Platelets ANC myeloblasts 9.7 274 2.63 1 9.6 108 1.92 2 0.46 <0.001 0.04 0.05 Disclosures Komrokji: Novartis: Research Funding, Speakers Bureau; Celgene: Consultancy, Research Funding; Incyte: Consultancy; Pharmacylics: Speakers Bureau. Padron:Novartis: Speakers Bureau; Incyte: Research Funding. List:Celgene Corporation: Honoraria, Research Funding. Steensma:Incyte: Consultancy; Amgen: Consultancy; Celgene: Consultancy; Onconova: Consultancy. Sekeres:Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; TetraLogic: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees.

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3001-3001
Author(s):  
Rami S. Komrokji ◽  
David A Sallman ◽  
Najla Al Ali ◽  
Andrew T Kuykendall ◽  
Chetasi Talati ◽  
...  

Introduction Recurrent somatic mutations (SM) of the splicing factor 3B subunit 1 (SF3B1) are among the most commonly occurring in MDS patients (pts), detected in ~20% of MDS overall, and in approximately 80% of MDS with ring sideroblasts (RS). SF3B1 SM are singularly associated with favorable outcome in MDS in the absence of adverse mutations. Next generation sequencing (NGS) is being increasingly incorporated into the evaluation of MDS pts. However, current results of NGS are reported and interpreted based solely upon the presence or absence of mutations without regard to the mutation allelic burden. Variant allele frequency (VAF) of somatic mutations has been used to reconstruct the clonal architecture in MDS. We examined the impact of SF3B1 VAF on outcomes and response to treatment. Methods We identified all MDS pts informative for SF3B1 mutation status through the Moffitt Cancer Center MDS database. We excluded pts with MDS/MPN or del(5q). We validated the prognostic value of SF3B1 SM in our entire cohort, and then excluded those pts lacking data on SF3B1 VAF. We examined the prognostic value of VAF as a continuous variable using Cox-regression analysis model, and then based on the mean SF3B1 VAF, we divided pts into two groups: VAF ≤ 30 or > 30%. We compared baseline characteristics between the two groups, frequency of other somatic mutations, response to treatment, AML transformation and overall survival (OS). We used the online software (http://molpath.charite.de/cutoff ) (R version 2.15.0), developed for biomarker cutoff determination, to assess the cutoff point of the SF3B1 VAF which best correlates with outcome. The NGS sequencing was performed on an Illumina based platform as part of standard routine clinical assessment. Results Among 763 MDS pts in our database tested for SF3B1 SM, 148 (19.4%) were SF3B1 mutated (MT), of whom 109 (74%) were classified with RS subtypes by WHO 2016 classification. SF3B1 MT was independently associated with better OS after adjusting for IPSS-R, Hazard ratio 0.43 (95% CI .28-.66) (P <.001). The most common SF3B1 hot spot mutation was p.K700E in 47% of cases. The most commonly accompanying gene mutations were: TET-2 (30%), DNMT3A (19%), ASXL-1 (17%), RUNX-1 (9%), and JAK-2 (5%). TP53 MT was detected in 3 pts, and interestingly, 4 pts harbored a second concomitant splicing mutation, 2 pts with SRSF2 MT, U2AF1 and ZRSR2 one each. Seven pts harbored accompanying TET-2 and DNMT3A mutations. Data on VAF was reported in 100 pts. The mean VAF was 30.45%. As a continuous variable, higher VAF was associated with improved OS, HR 0.95 (95% CI .9-.99) (P .024). We divided patients into two groups SF3B1 VAF ≤ 30 or >30 % using the mean VAF as the cutoff. Table-1 summarizes baseline characteristics between the two groups. Interestingly, DNMT3A concomitant MT was significantly more frequent among pts with VAF >30 compared to those with VAF ≤ 30%, 15/55 (27.3%) versus 4/45 (8.9%), (p.023). There was no difference in distribution of other accompanying MT among the 2 groups. The median OS was not reached for those pts with >30% compared to 78 months (95%CI 43-118) for those with VAF ≤ 30% (P .008). The HR for OS was 0.24 (95% CI 0.08-.75) (P .014) for SF3B1 VAF> 30%. There was no difference in the rate of AML transformation 7.3% versus 6.7%, respectively for those with VAF >30 and ≤ 30% respectively, (P 1.0). SF3B1 VAF > 30% was independently associated with favorable OS after adjusting for IPSS-R, HR .29 (95% CI .09-.88) (P .03) The rate of hematological improvement (HI) with erythroid stimulating agents was 53% (21/39) and 43% (9/21) for those with VAF >30 and ≤ 30% respectively, (P .42). The overall response rate to hypomethylating agents (HMA) measured by HI or better was significantly lower in pts with VAF >30 (9%; 2/22) compared to those pts with VAF ≤ 30%. (10/16, 62.6%; P=0.01). The HI rate with lenalidomide was 21.4% (3/14) for those with VAF >30 and 10 % (1/9) for those with VAF ≤ 30%. (P .46) The optimal VAF cutoff related to OS using fit of mixture model was 32.37%, with HR for of 0.26 (95% CI .08-.8) (P .013). Conclusions To our knowledge, this is the first study to demonstrate an impact of SF3B1 clone size on outcome and response to treatment in MDS. Higher VAF > 30% was associated with significantly more prolonged OS, and surprisingly, a lower probability of response to HMA. DNMT3A MT is the only SM significantly associated with higher SF3B1 allele burden, and had no adverse effect on outcome. Table 1. Disclosures Komrokji: Novartis: Speakers Bureau; JAZZ: Consultancy; Agios: Consultancy; Incyte: Consultancy; DSI: Consultancy; pfizer: Consultancy; celgene: Consultancy; JAZZ: Speakers Bureau. Sallman:Celyad: Membership on an entity's Board of Directors or advisory committees. Kuykendall:Abbvie: Honoraria; Incyte: Honoraria, Speakers Bureau; Janssen: Consultancy; Celgene: Honoraria. Talati:Agios: Honoraria; Daiichi-Sankyo: Honoraria; Jazz Pharmaceuticals: Honoraria, Speakers Bureau; Astellas: Honoraria, Speakers Bureau; Pfizer: Honoraria; Celgene: Honoraria. Sweet:Incyte: Research Funding; Stemline: Consultancy; Pfizer: Consultancy; Abbvie: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Celgene: Speakers Bureau; Jazz: Speakers Bureau. Lancet:Agios, Biopath, Biosight, Boehringer Inglheim, Celator, Celgene, Janssen, Jazz Pharmaceuticals, Karyopharm, Novartis: Consultancy; Pfizer: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Other: fees for non-CME/CE services . List:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1992-1992 ◽  
Author(s):  
Eugen Tausch ◽  
Christina Galler ◽  
Richard Schlenk ◽  
Peter Hillmen ◽  
Fritz Offner ◽  
...  

Abstract BACKGROUND: Genomic aberrations and IGHV mutation status are established prognostic factors in CLL. With TP53, NOTCH1, SF3B1, ATM, MYD88, FBXW7, BIRC3 and POT1 recurrently mutated genes were found in CLL and were discussed to associate with disease characteristics and to affect therapy efficacy and outcome. METHODS: We assessed the incidence and impact of gene mutations in the COMPLEMENT1 trial (1st line Chl vs. O-Chl). Pretreatment samples were available from 376 patients (84.1%) and this cohort was representative of the full trial population. Mutations were analyzed by amplicon-based targeted NGS using Illumina Miseq for all coding exons (TP53, ATM, MYD88, FBXW7, BIRC3 and POT1) or hotspot exons (NOTCH1, SF3B1). Additionally, the exact variant frequency was determined. RESULTS: The incidences of gene mutations were: TP53 8.2%, NOTCH1 14.9%, SF3B1 14.1%, ATM 10.9%, MYD88 2.7%, FBXW7 3.5%, POT1 7.7%, and BIRC3 2.7%. Regarding baseline characteristics, we found significant associations: TP53mut with high ß2MG (p=0.01), 17p- (p<0.01), and unmutated IGHV (p=0.01); ATMmut with high WBC (p=0.02), and 11q- (p<0.01); MYD88mut with mutated IGHV (p=0.02); FBXW7mut with 17p- (p=0.02), and +12q (p<0.01). BIRC3mut was only present in IGHV unmutated cases (p<0.01), was more frequent in 11q- (p<0.01), +12q (p=0.05), and in cases with NOTCH1mut (p=0.05). POT1mut was more frequent in NOTCH1mut cases (p=0.02) without associations with any other baseline parameter. Regarding response to treatment, TP53mut was significantly associated with reduced ORR rate (p<0.01). CR rate was not correlated with mutations in the covered genes. At a median follow-up of 31.7 months, there were 249 (66%) events for PFS and 63 (16.8%) events for OS. O-Chl as compared to Chl resulted in significantly improved PFS (median 22.4 vs. 13.1 months, HR 0.54, p<0.01). In univariate analyses, TP53mut (HR 2.07, p<0.01), NOTCH1mut (HR 1.50, p=0.01) and SF3B1mut (HR 1.66, p=0.01) were associated with shorter PFS, whereas ATM and other candidate genes showed no association (ATMmut: HR 1.40, p=0.07). Analyzing both treatment arms separately, TP53mut had an impact on PFS with Chl and O-Chl treatment (HR 1.92, p=0.04 and HR 2.49, p<0.01). Notably, NOTCH1mut was associated with outcome in O-Chl only (HR 2.01, p<0.01 vs. HR 1.14, p=0.59) resulting in a reduced beneficial effect from the addition of Ofatumumab to Chlorambucil treatment. ATMmut and BIRC3mut mutations were only adverse prognostic factors with Chl monotherapy (ATMmut: HR 1.69, p=0.05 vs. HR 1.35, p=0.27; BIRC3mut: HR 2.84, p=0.04 vs. HR 0.99, p=0.99). OS was reduced significantly only in TP53mut cases (HR 3.69, p<0.01). Of note, none of the MYD88mut cases (n=10) had died within the follow-up period. To identify genomic factors of independent prognostic impact, we performed multivariable Cox regression analyses for PFS and OS including treatment arms, 11q-, +12q, 17p-, IGHV and all candidate gene mutations. For PFS, the following independent prognostic factors were identified: O-Chl (HR 0.46, p<0.01), 17p- (HR 3.14, p<0.01), 11q- (HR 1.57, p=0.01), unmutated IGHV (HR 1.43, p=0.02), TP53mut (HR 1.81, p=0.03), NOTCH1mut (HR 1.63, p<0.01) and SF3B1mut (HR 1.54, p=0.02). Regarding OS, only 17p- (HR 4.07, p<0.01), and unmutated IGHV (HR 1.81, p=0.05) were identified as independent adverse prognostic factors with TP53mut showing a trend (HR 2.14, p=0.10). CONCLUSION: We performed mutational analyses for the 8 most frequent mutated genes in CLL in the COMPLEMENT1 trial evaluating 1st line O-Chl against Chl. An independent prognostic impact was identified for TP53mut, NOTCH1mutand SF3B1mut regarding PFS. Notably, NOTCH1mut affected outcome mainly with O-Chl treatment, whereas ATMmut and BIRC3mut were associated with outcome with Chl monotherapy. In multivariate analysis for OS, none of the gene mutations, but the established parameters IGHV and 17p- had independent prognostic impact. Disclosures Tausch: GlaxoSmithKline: Research Funding, Travel support Other. Hillmen:GSK: Honoraria, Research Funding. Offner:GlaxoSmithKline: Honoraria, Research Funding. Janssens:GSK: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Speakers Bureau; Roche: Speakers Bureau; Mundipharma: Speakers Bureau. Mayer:Glaxo: Research Funding; Roche: Research Funding. Panagiotidis:GlaxoSmithKline: Consultancy, Honoraria. McKeown:GlaxoSmithKline: Employment. Gupta:GlaxoSmithKline: Employment. Stilgenbauer:GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1533-1533 ◽  
Author(s):  
Paolo Strati ◽  
Ralph J. Johnson ◽  
Sheryl G Forbes ◽  
Loretta J. Nastoupil ◽  
Felipe Samaniego ◽  
...  

Introduction. The combination of rituximab and lenalidomide (R2) is active in patients with untreated indolent lymphoma. Recent randomized trials (RELEVANCE) have demonstrated similar efficacy when compared to standard chemo-immunotherapy backbones. Long term follow up of patients receiving R2 as well as predictors of long term remission and survival have yet to be published. Methods. We prospectively evaluated patients with low grade advanced stage FL who received R2 as initial treatment at our institution between 07/2008 and 10/2014. Lenalidomide was given at 20 mg (day 1-21, in a 28 day cycle) for 6 cycles with rituximab monthly. Lenalidomide starting dose was 10 mg if baseline creatinine clearance was &lt; 60 mL/min. Patients with an objective response continued with 10-20 mg of lenalidomide with rituximab for up to 12 more cycles. Response was evaluated according to 2014 Lugano criteria. Results. One-hundred and one patients were included in the analysis, baseline characteristics are shown in the Table. Median number of provided cycles was 7 (range, 1-20). Median dose of lenalidomide was 20 mg (range, 5-20 mg), and 29 (29%) patients required a dose reduction. Fifty-six (55%) patients experienced grade 3-4 treatment-related toxicities, the most common (&gt; 5%) being neutropenia (39%), skin rash (20%), myalgia (16%) and fatigue (16%). Seven (7%) patients discontinued treatment before completion, after a median time of 4 months (range, 1-10 months): 4 because of toxicity (arterial thrombosis in 2, respiratory failure in 1, and skin rash in 1), and 3 because of progression. Ninety-eight patients were evaluable for response, while 3 patients discontinued treatment because of toxicity before first response assessment. Overall response rate was 98%, CR rate 90% (both achieved after a median of 6 months [range, 3-22 months]), and CR rate at 30 months (CR30) was 80%. Only female sex associated with a higher CR rate (96% vs 83%, p=0.05), while no baseline characteristic associated with CR30 rate. After a median follow-up of 88 months (95% confidence interval, 84-92 months), 31 (31%) patients progressed and/or died, 7-year progression-free survival (PFS) was 63%, and 13% of patients had a PFS &lt; 24 months (PFS24). Failure to achieve CR was the only factor associated with significantly decreased PFS (10 months vs not reached, p&lt;0.001) and higher likelihood of PFS24 (46% vs 5%, p&lt;0.001). No association was observed with baseline characteristics, including FLIPI and FLIPI-2 score. At most recent follow-up, transformation was reported in 3 (3%) patients, after 30, 32 and 42 months, respectively. Two (2%) patients have died, 1 of unrelated comorbid health conditions, 1 of progressive disease, and 7-year overall survival was 98%. Second cancers (excluding transformation) were diagnosed in 8 (8%) patients, after a median of 55 months (range, 3-105 months). These included: breast adenocarcinoma (2), melanoma (2), pancreatic adenocarcinoma (1), esophageal adenocarcinoma (1), and therapy-related acute myeloid leukemia. Discussion. Long-term follow-up show very favorable outcomes for patients with advanced stage FL receiving R2 as initial treatment, independent of traditional prognostic factors relevant to patients treated with chemoimmunotherapy, including FLIPI and FLIPI-2 score. Combination strategies, aimed at increasing depth of response to R2, may further improve outcomes observed with this regimen. Table. Disclosures Nastoupil: Bayer: Honoraria; Genentech, Inc.: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Gilead: Honoraria; Janssen: Honoraria, Research Funding; Novartis: Honoraria; TG Therapeutics: Honoraria, Research Funding; Spectrum: Honoraria. Westin:Janssen: Other: Advisory Board, Research Funding; Unum: Research Funding; Curis: Other: Advisory Board, Research Funding; 47 Inc: Research Funding; Genentech: Other: Advisory Board, Research Funding; Juno: Other: Advisory Board; Celgene: Other: Advisory Board, Research Funding; MorphoSys: Other: Advisory Board; Novartis: Other: Advisory Board, Research Funding; Kite: Other: Advisory Board, Research Funding. Wang:AstraZeneca: Consultancy, Honoraria, Research Funding, Speakers Bureau; MoreHealth: Consultancy, Equity Ownership; Acerta Pharma: Consultancy, Research Funding; BioInvent: Consultancy, Research Funding; Pharmacyclics: Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Juno Therapeutics: Research Funding; Dava Oncology: Honoraria; Celgene: Honoraria, Research Funding; Aviara: Research Funding; Kite Pharma: Consultancy, Research Funding; Guidepoint Global: Consultancy; VelosBio: Research Funding; Loxo Oncology: Research Funding. Neelapu:Pfizer: Consultancy; Precision Biosciences: Consultancy; Merck: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Allogene: Consultancy; Novartis: Consultancy; BMS: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Cellectis: Research Funding; Acerta: Research Funding; Karus: Research Funding; Poseida: Research Funding; Incyte: Consultancy; Cell Medica: Consultancy; Unum Therapeutics: Consultancy, Research Funding. Fowler:Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; ABBVIE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis Pharmaceuticals Corporation: Consultancy; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. OffLabel Disclosure: lenalidomide and rituximab are not yet FDA-approved as frontline treatment for patients with FL


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2984-2984
Author(s):  
Davine Hofste op Bruinink ◽  
K. Martin Kortüm ◽  
Mark van Duin ◽  
Mathijs A. Sanders ◽  
Remco Hoogenboezem ◽  
...  

Abstract Introduction Multiple myeloma (MM) is characterized by a highly variable disease course, which can be traced to initiating and acquired genomic events. Whole exome analysis of matched tumor and germline DNA from 287 MM patients identified recurrently somatically mutated genes (RSMGs) (Lohr et al. - Cancer Cell 2014, Bolli et al. - Nat Commun 2014). Despite the fact that these RSMGs affect pathways that are biologically important in MM, the clinical relevance of many of these genes in the context of conventional prognostic markers remains to be elucidated. Aims The aims of this pilot study were: (1) To validate the prevalence of RSMGs in our newly diagnosed MM patient cohort; (2) To assess the correlation between RSMGs, clinical parameters and outcome; (3) To thereby identify the potential clinical usefulness of introducing RSMG mutational profiling in larger MM trial cohorts. Material and Methods CD138+ enriched MM cells and peripheral blood were obtained with informed consent from chemotherapy-naive patients, participating in 3 clinical trials: HOVON-65/GMMG-HD4, HOVON-87/NMSG-18 and Carthadex (EudraCT number 2004-000944-26, 2007-004007-34 and 2009-014922-40, respectively). Matched tumor and germline DNA were sequenced on an Ion Torrent sequencing platform (PGM, Life Technologies), using the M3 P Mutational Panel v3.0, comprising 1327 customized oligos (Life Technologies), targeted at the coding sequences of 88 MM-relevant genes, including the RSMGs. Somatic mutations were considered positive when present in >=10% of tumor reads and <=10% germline reads, with a minimal coverage of 10x and being non-synonymous, or splice donor variants. All statistical analyses were performed in SPSS version 23, using the log-rank and Mann-Whitney U-test, with the Bonferroni test to correct for multiple comparisons. Results A total of 206 DNA samples were sequenced from 103 patients (HOVON-65/GMMG-HD4 (n=16), HOVON-87/NMSG-18 (n=67), Carthadex (n=20)) with an average coverage of 574x in tumor DNA, 451x in germline DNA and an overall coverage of 98%. We collected follow-up data from 102/103 patients, with a median follow-up time of 30 months. 168 somatic mutations were detected in 44/88 genes. 82% of patients had at least 1 somatic mutation. Genes most frequently mutated were: (1) NRAS (26%), (2) KRAS (22%), (3) DIS3 (14%), (4) FAM46C (9%), (5) TP53 (7%) and (6) BRAF (6%) (Figure 1). Of note, NRAS and KRAS mutations were mutually exclusive in our cohort. Moreover, all TP53 mutations were located in its DNA binding domain. Three out of 6 BRAF mutations were predicted to cause a V600E amino acid change. We focused on these 6 RSMGs in all further analyses. Correlating mutational status with Progression Free Survival (PFS) and Overall Survival (OS) showed that TP53 mutated patients had a significantly shorter PFS compared to those with wildtype TP53 (adj. p-value=0,018; n=7 versus n=95). Comparing the mutational status of the 6 RSMGs, transplant versus non-transplant protocol, number of mutated genes in the M3 P panel, del17p and t(4;14) status, EMC92 score and ISS stage between patients with a PFS <=1 year and >1 year (n=23 versus n=79), only showed a significant correlation with TP53 mutational status (adj. p-value=0,012). TP53 mutational status remained the only significant prognostic factor when comparing patients with an OS <=1 year and >1 year (adj. p-value=0,003; n=13 versus n=89). When comparing the number of mutated genes, del17p and t(4;14) status, EMC92 score, transplant versus non-transplant protocol and ISS stage between TP53 mutated and wildtype MM, TP53 mutated patients had a significantly higher number of mutated genes in the M3 P panel (adj. p-value=0,001). Conclusions (1) With the M3 P Mutational Panel, we confirm the published prevalence of RSMGs in MM in our cohort of chemotherapy-naive patients. NRAS, KRAS, DIS3, FAM46C, TP53 and BRAF are the most frequently mutated genes. (2) TP53 mutational status is the strongest unfavorable prognostic factor in our cohort and it seems to be associated with greater mutational burden. Validation in a more extensive population is planned. (3) This warrants further investigation of the mutational status of these genes in larger clinical trial cohorts, enabling a more robust comparison with conventional prognostic markers in a multivariate analysis. Disclosures Broijl: Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Zweegman:Takeda: Research Funding; Janssen: Research Funding; Celgene: Research Funding. Sonneveld:Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Karyopharm: Research Funding; SkylineDx: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2890-2890
Author(s):  
Juan Carlos Caballero ◽  
Mercedes Sánchez-Barba ◽  
Mónica Del Rey ◽  
Kamila Janusz ◽  
Eva Lumbreras ◽  
...  

Abstract Background and Aim Although new agents have been approved for the treatment of MDS, the only curative approach for these patients is allogeneic hematopoietic stem cell transplantation (HSCT). Nevertheless, in these patients this approach has only obtained 40-60% of overall survival. Somatic mutations in MDS have recently been analyzed in order to confirm clonally and also prognostic impact in MDS patients. In this regard, TP 53 mutated gene is present in MDS in less than 10% of patients and is associated with advanced disease and high-risk features. Recent studies confirms poor outcomes in patients with TP 53 mutated receiving allogeneic stem cell transplantation1,2. The present study try to analyze if the development of chronic graft versus host disease (cGVHD) could modify, due to graft versus leukemia effect, the adverse prognosis of these high-risk patients (TP53 mutated patients). Design and Methods <>Results of HSCT in 92 MDS patients from 5 centers in Spain were retrospectively studied. Samples were collected 1 month prior to transplant. 280ng of the genomic DNA from BM cells was screened for somatic mutations in TP53 gene. The study was done by NGS on a GS Junior Instrument (Roche) according to an amplicon sequencing design. For each sample, eight exons (4-11) were amplified with preconfigured primer plates provided within the IRON II study network. Data analysis, were carried out using the Sequence Pilot software version 3.5.2 (JSI Medical Systems) and GS Amplicon Variant Analyzer software, versions 2.7 and 2.9 (Roche Applied Science). Minimum coverage of sequenced exons was 100 reads and the sensitivity of variant detection was set to a lower limit of >2% for bidirectional reads. Only those variants that resulted in amino acid change in the protein sequence were considered. OS and RFS were calculated using the Kaplan-Meier method. The log-rank test was used for comparisons. All calculations were done using SPSS 18.0. Cumulative incidence of relapse was also calculated by xlstat version 2014 program. <>Results Median age was 54 years (17-69), 71.7% were "de novo" MDS and regarding IPSS, 53% were in the int-2/high-risk category. Other characteristics were in Table 1. In the pre-transplant evaluation, 15 patients out of 92 (16,3%) were TP 53 mutated. The mutations were located in exons 5, 6, 7, 8 and 10. These variations were present in a variable percentageof the cell population (3 to 84%). All mutations were specific nucleotide changes except for two cases. At the time of the last update, 16 patients had relapsed (17.4%) and 40 had died (43.5%). After a median follow up of 15.5 months, OS was 56.5%. Median OS for patients with mutated TP53 trend a toward to be shorter than survival for patients without mutated TP53 (median of 7 mo vs median not reached, respectively, p=0.156). Multivariate analysis for OS confirmed complex karyotype (HR 5,588, 95CI 1,794-17,407, p=0.003) and no developement of cGVHD (HR 3,531, 95IC 1,634-7,632, p=0.001) as predictors for poor outcome. Cumulative incidence of relapse was 20.3% (+/-4.3%) at 1 years. Mutational status of TP53 significantly influenced on relapse (53.3% +/-12.9% vs 13.7% +/-4% at 1 year for patients with vs without TP 53 mutation (Gray test=0.001, Figure 2). Regarding Relapse Free Survival (RFS), after a median of follow up of 17 months, RFS was 67.9% and as previously suggested, the presence of TP 53 mutation had an impact on RFS (41.7% for mutated (median RFS of 6 months) and 75% for non mutated patients (median RFS not reached), p=0.009). Multivariate analysis for RFS confirmed age (HR 1.054, 95CI 1.005-1.106, p=0.032) and TP 53 mutated (HR 3.054, 95IC 1.145-8.149, p=0.026) as predictors for lower RFS. Regarding 15 patients with mutated TP 53, 7 did relapsed and 9 had died. Developement of cGVHD showed a trend toward to improve outcome among TP 53 mutated patients, with a better OS and RFS for those developing cGVHD as compared to those who did not (OS of 55% vs 17% for patients with and without cGVHD, p=0.039, Figure 2 and RFS of 71% vs 50%, respectively, p=0.3). <>Conclusions Mutated TP53 pre-allo patients presents poor outcome as compared to not mutated, as previously described Bejar1 and Kim2. Nevertheless, the developement of cGVHD could overcome the adverse impact of this factor due to the developement of graft versus tumor efect, improving survival curves (OS and RFS) as compared to previous published results. Study supported by GRS-1033/A/14 P53. 1.-BŽjar, JCO 2014, 32(25). 2.-Kim, BBMT 2015, Epub ahead of print. Figure 2. Figure 2. Figure 3. Figure 3. Disclosures Sanz: JANSSEN CILAG: Honoraria, Research Funding, Speakers Bureau. Valcarcel:AMGEN: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; NOVARTIS: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; CELGENE: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Díez-Campelo:CELGENE: Research Funding, Speakers Bureau; JANSSEN: Research Funding; NOVARTIS: Research Funding, Speakers Bureau.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1873-1873
Author(s):  
Paolo Strati ◽  
Mariela Sivina ◽  
Ekaterina Kim ◽  
Michael J. Keating ◽  
William G. Wierda ◽  
...  

Abstract Introduction. In the context of chemoimmunotherapy, complete remission (CR) is more common and is associated with improved survival in patients with chronic lymphocytic leukemia (CLL). CR is less frequent in CLL patients treated with ibrutinib, and the prognostic significance of achieving CR with ibrutinib is indeterminate. Methods. We prospectively analyzed 208 CLL patients treated on a phase 2 study (NCT02007044) of first-line (deletion 17p only; n=27) or salvage ibrutinib (n=181), with or without rituximab, between 12/2013 and 01/2018. Response was assessed by international workshop on CLL 2018 guidelines. Categorical variables were compared using the χ2 or Fisher exact tests. Progression-free survival (PFS) was defined as time from treatment initiation to disease progression and/or death, and Kaplan-Meier curves compared using the log-rank test. A landmark analysis at median time of CR achievement (best response) was performed for PFS. Results. After a median follow-up of 34 months (range, 3-48 months), response was evaluable in 194 patients, overall response rate (ORR) was 99%, and CR rate was 24%, with negative minimal residual disease (MRD) in 3% of patients; median time to response was 10 months (range, 3-45 months) and median time to CR was 21 months (5-45 months). None of the patients' baseline characteristics associated with achievement of CR (Table). Among the 47 patients in CR, 7 (15%) discontinued treatment, after a median time from treatment initiation of 19 months (range, 10-39); the main cause of discontinuation was toxicity (5 patients), with second cancer (metastatic melanoma) and disease progression prompting treatment discontinuation only in 2 patients. Among the 145 patients in PR, 50 (34%) discontinued treatment, after a median time from treatment initiation of 14 months (range, 4-45 months); while the main cause of discontinuation was again toxicity (26 patients), 2nd cancers and progressive disease prompted treatment discontinuation in 5 and 14 patients, respectively. Remaining causes of treatment discontinuation among patients in PR were loss to follow-up (3 patients) and consolidation therapy (2 patients). Median PFS was not reached and 28 patients (13%) progressed and/or died. Achievement of CR significantly associated with prolonged PFS (4-year PFS 98% vs 78%, p=0.03)(Figure). The association between CR and prolonged PFS was also confirmed on a landmark analysis (21 months)(p=0.05). Among baseline characteristics shown in the Table, the only factor associated with prolonged PFS was absence of complex karyotype (4-year PFS 80% vs 40%, p=0.05). Median OS has not been reached and 16 (8%) patients have died; of these, only 1 patient was in CR (and cause of death was metastatic melanoma), whereas the remaining 15 were in PR. Among patients in PR, causes of death were: infections in 7 patients, 2nd cancers in 2 patients, Richter transformation in 2 patients and other in 4 patients (small bowel obstruction, colon perforation, intracranial hemorrhage, bradyarrhythmia). Conclusions. This is the first study showing that achievement of CR is a desirable endpoint for patients with CLL treated with ibrutinib, associating with prolonged PFS. Our results support the development of future combination studies, aimed at achieving higher rates of CR in patients treated with ibrutinib. Figure. Figure. Disclosures Wierda: AbbVie, Inc: Research Funding; Genentech: Research Funding. Jain:Infinity: Research Funding; Novimmune: Honoraria, Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; Infinity: Research Funding; ADC Therapeutics: Research Funding; Astra Zeneca: Research Funding; Cellectis: Research Funding; Verastem: Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Research Funding; ADC Therapeutics: Research Funding; BMS: Research Funding; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Pharmacyclics: Research Funding; Genentech: Research Funding; Abbvie: Research Funding; Celgene: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Research Funding; Pharmacyclics: Research Funding; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Abbvie: Research Funding; Pfizer: Research Funding; Incyte: Research Funding; Adaptive Biotechnologioes: Research Funding; Celgene: Research Funding; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Research Funding; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Research Funding; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees; Verastem: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Cellectis: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologioes: Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novimmune: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Thompson:Adaptive Biotechnologies: Research Funding; Genentech: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Research Funding; Gilead Sciences: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 463-463 ◽  
Author(s):  
David P. Steensma ◽  
Uwe Platzbecker ◽  
Koen Van Eygen ◽  
Azra Raza ◽  
Valeria Santini ◽  
...  

Abstract BACKGROUND: Patients with TD lower-risk (LR)-MDS relapsed or refractory to ESA have limited treatment options. Imetelstat is a first-in-class telomerase inhibitor that targets cells with short telomere lengths and active telomerase, characteristics observed in some MDS patients. IMerge is an ongoing global study of imetelstat in RBC TD patients with LR-MDS (IPSS Low or Int-1). In the first 32 patients enrolled, 8-week TI rate was 34%, with 24-week TI of 16%, and HI-E of 59%. The most frequently reported adverse events were reversible grade ≥3 cytopenias (Fenaux et al EHA 2018 Abstr S1157). Higher response rates were observed in patients (n=13) who were LEN and HMA naïve without del(5q). We report here results in an additional 25 LEN and HMA naïve patients without del(5q), with longer term follow-up of the 13 initial patients meeting the same criteria. METHODS: IMerge is a phase 2/3 trial (NCT02598661) that includes LR-MDS patients with a high transfusion burden (≥4 units / 8 weeks) who are relapsed/refractory to ESA or have sEPO >500 mU/mL. The additional 25 were required to be LEN and HMA naïve and lack del(5q). Imetelstat 7.5 mg/kg was administered IV every 4 weeks. In addition to the key endpoints noted above, secondary endpoints include safety, time to and duration of TI. Biomarkers are also being explored, including telomerase activity, hTERT, telomere length, and genetic mutations. RESULTS: Overall, for the 38 LEN/HMA naïve and non-del(5q) patients, median age was 71.5 years and 66% were men. 63% of patients were IPSS Low and 37% Int-1. Median prior RBC transfusion burden was 8.0 (range 4-14) U, and 71% had WHO 2008 RARS or RCMD-RS. 9/37 (24%) patients with evaluable sEPO levels had baseline level >500 mU/mL. As of July 2018, with a median follow-up of 25.8 months for the initial 13 patients, and 5.2 months for the 25 recently included patients, the 8-week RBC-TI rate was 37% (14/38). Durability of 24-week TI responses was demonstrated, with a median duration of 10 months and the longest ongoing response now >2 years. Among the patients achieving durable TI, all showed a Hb rise of ≥3.0 g/dL compared to baseline during the transfusion-free interval. Response rates were similar in RARS/RCMD-RS (33% [9/27]) and other patients (27% [3/11]), and those with baseline EPO levels >500 mU/mL (33% [3/9]) and ≤500 mU/mL (32% [9/28]). Reversible grade ≥3 neutropenia and thrombocytopenia were each reported in 58% of the patients. Liver function test (LFT) elevations were mostly grade 1/2. Reversible grade 3 LFTelevations were observed in 3 (8%) patients on study. An independent Hepatic Review Committee deemed the observed LFT elevations were not imetelstat-related hepatic toxicities. SUMMARY / CONCLUSIONS: In this cohort of 38 non-del(5q) LR-MDS patients with a high RBC transfusion burden who were ESA relapsed/refractory and naïve to LEN/HMA, single-agent imetelstat yielded a TI rate of 37%, with a median duration of 10 months and limited side effects. Durable responses were characterized by transfusion independence >24 weeks and accompanied by Hb rise. Updated data will be presented. Disclosures Steensma: Takeda: Consultancy; Syros: Research Funding; Otsuka: Membership on an entity's Board of Directors or advisory committees; Onconova: Consultancy; Novartis: Membership on an entity's Board of Directors or advisory committees; Kura: Research Funding; Janssen: Consultancy, Research Funding; H3 Biosciences: Research Funding; Celgene: Research Funding; Amphivena: Membership on an entity's Board of Directors or advisory committees; Acceleron: Consultancy. Platzbecker:Celgene: Research Funding. Van Eygen:Janssen: Consultancy, Research Funding; Roche: Research Funding; Amgen: Research Funding. Raza:Kura Oncology: Research Funding; Onconova: Research Funding, Speakers Bureau; Celgene: Research Funding; Novartis: Speakers Bureau; Geoptix: Speakers Bureau; Janssen: Research Funding; Syros: Research Funding. Santini:Amgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; AbbVie: Membership on an entity's Board of Directors or advisory committees; Otsuka: Consultancy; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Research Funding. Germing:Celgene: Honoraria, Research Funding; Janssen: Honoraria; Novartis: Honoraria, Research Funding. Font:Celgene: Membership on an entity's Board of Directors or advisory committees. Samarina:Janssen: Research Funding. Díez-Campelo:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Bussolari:Janssen: Employment, Equity Ownership. Sherman:Janssen: Employment, Equity Ownership. Sun:Janssen: Employment, Equity Ownership. Varsos:Janssen: Employment, Equity Ownership. Rose:Janssen: Employment, Equity Ownership. Fenaux:Roche: Honoraria; Otsuka: Honoraria, Research Funding; Jazz: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1256-1256
Author(s):  
Jorge Labrador ◽  
Adolfo de la Fuente ◽  
David Martínez-Cuadrón ◽  
Rebeca Rodríguez-Veiga ◽  
Josefina Serrano ◽  
...  

Abstract INTRODUCTION The hypomethylating agents (HMAs), decitabine (DEC) and azacitidine (AZA), have made it possible to treat more elderly patients with acute myeloid leukemia (AML). Both HMAs have demonstrated efficacy in monotherapy and in combination with targeted therapies. However, there is little direct comparative data on AZA and DEC in first-line treatment, and we do not know which group of patients might benefit from each drug. Results of the full analysis set (FAS) were presented previously (Labrador J, et al. ASH 2020). Here, we report long-term clinical efficacy from prespecified patient subgroup analyses. METHODS We conducted a retrospective study to compare real-life clinical outcomes between AZA and DEC in patients with AML ineligible for intensive chemotherapy included in the PETHEMA registry, and analyzed clinical variables associated with response and overall survival (OS) between AZA and DEC. RESULTS A total of 626 patients were included for the FAS between 2006 and 2019. 487 (78%) received AZA and 139 (22%) received DEC. Baseline characteristics were comparable in both groups, except for the percentage of bone marrow blasts (44% vs. 34% in the DEC group compared to AZA, p=0.010). In the FAS, there was no difference in the CR, CR/CRi or ORR (CR/RCi + PR) rate: 18%, 20.5% and 32% with AZA vs. 23%, 25% and 39.5% with DEC (p=0.20, p=0.27 and p=0.12). In the subgroup analysis, DEC was associated with higher CR/CRi rate than AZA in patients with ECOG ≥ 2 (95% CI: 0.088 - 0.801), bone marrow blast count &lt; 50% (95% CI: 0.293 - 0.965), secondary AML (95% CI: 0.223 - 0.918) and adverse cytogenetics (95% CI: 0.171 - 0.857) (Figure 1A). DEC was associated with higher ORR rate than AZA in patients with ECOG ≥ 2 (95% CI: 0.116 - 0.782), leukocytes &lt; 10 x10 9/L (95% CI: 0.321 - 0.920) and bone marrow blasts &lt; 50% (95% CI: 0.321 - 0.920) (Figure 1B) 120 days-mortality was 25.4% after AZA and 27.1% after DEC, p=0.70. Patients who did not achieve at least a PR had significantly higher 120-day mortality with both HMAs (OR 8.85 and 8.22 for AZA and DEC, respectively). In the subgroup analysis, patients with leukocytes ≥ 10 x10 9/L (95% CI: 1.069 - 4.157) and those with estimated glomerular filtration rate (eGFR) ≥ 45 mL/min/1.73m 2 (95% CI: 1.249 - 4.664) had higher 120-day mortality with DEC than with AZA (Figure 1C) With a median follow-up of 12 months, median OS was 10.4 months (95% CI: 9.2 - 11.7) for AZA vs. 8.8 months (95% CI: 6.7 - 11.0) for DEC (p = 0.455). The subgroup analysis revealed that patients ≥ 80 years (95%: CI 1.005 - 2.341), with leukocytes ≥ 10 x10 9/L (95% CI 1.039 - 2.062), platelet count &lt;20 x10 9/L (95% CI: 1.150 - 3.422) and those with eGFR ≥ 45 mL/min/1.73m 2 (95% CI: 1.040 - 2.059) did benefit for treatment with AZA compared to DEC (Figure 1D). CONCLUSIONS Our study provides real-life data on the outcomes of AML patients treated with AZA compared to DEC in a large retrospective cohort with long-term follow-up. In addition, we identify for the first time some baseline characteristics that could benefit from AZA or DEC in terms of responses, 120-day mortality and OS. These findings could help us to choose the most appropriate HMA in monotherapy or for the development of new combinations. Figure 1 Figure 1. Disclosures de la Fuente: Novartis: Research Funding; Abbie: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; BMS: Consultancy, Speakers Bureau. Tormo: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Pérez-Simón: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Montesinos: Forma Therapeutics: Consultancy; Tolero Pharmaceutical: Consultancy; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Glycomimetics: Consultancy; Agios: Consultancy; Stemline/Menarini: Consultancy; Teva: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astellas Pharma, Inc.: Consultancy, Honoraria, Other: Advisory board, Research Funding, Speakers Bureau.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3156-3156
Author(s):  
Mai Aly ◽  
Naoko Hosono ◽  
Przychodzen Bartlomiej ◽  
Hideki Makishima ◽  
Nagata Yasunobu ◽  
...  

Abstract Recurrent somatic mutations of CUX1 are described in myeloid neoplasms. CUX1 is located at chromosome 7q22.1; -7/del(7q) involving CUX1 locus are common abnormalities in myelodysplastic syndromes (MDS). Mutations and loss of heterozygosity involving CUX1 have been also described in breast, lung and uterine cancers. Preliminary functional studies, lack of a mutational hotspot and coincidental deletions suggest loss of function/hypomorphic consequences of these molecular defects. CUX1 (p200), contains 4 evolutionarily conserved DNA-binding domains, including 3 CUT repeats and a CUT homeodomain. Functionally, CUX1 regulates many genes involved in DNA replication and chromosome segregation. Cell-based assays have established a role for CUX1 in the control of cell-cycle progression, cell motility, and invasion .The objective of this study is to assess the molecular context and clinical significance of CUX1 mutations and deletions in myeloid neoplasms. We analyzed a subset of 1478 patients [24% lower-risk MDS, 17% higher-risk MDS, 22% primary (p)AML, 14% secondary AML, 14% MDS/myeloproliferative neoplasms (MPN) and 9% MPN] for the presence of CUX1 mutations and deletions. No CUX1 mutations were found in core binding factor AML. We correlated the presence of these lesions with clinical parameters, cytogenetic abnormalities, and molecular features including clonal architecture and associated somatic mutations. Copy number variation and their boundaries were analyzed by Single Nucleotide Polymorphism (SNP) arrays and mutations by multiamplicon deep sequencing utilizing a panel targeting 60 most commonly mutated genes in myeloid neoplasms. In total cohort 4 % of patients had CUX1 mutations and 6% had locus deletions (affecting ch 7q commonly deleted region: 7q22.1) including 90% of del (7q) cases. Expression of CUX1 is significantly lower in AML with -7/del(7q) compared to AML with normal cytogenetics (p<.00001) and also in MDS with -7/del(7q) compared tohealthy controls (p=.004). Additionally, decreased expression of CUX1 was found in 15% of MDS and 8% of AML patients without -7/del(7q) or related mutations. Cases with lower expression had worse OS compared to patients with higher expression (p=.002). In terms of configuration, most mutations were heterozygous, 5% of mutations were hemizygous and 4% were homozygous (due to UPD). Among 75 somatic CUX1mutations; 72% were missense, 20% where frame shift and 8% where non sense. CUX1 mutations were associated with either lower-risk MDS (p=.0001) and pAML (p=.04) while deletions involving the CUX1 locus were significantly related to higher-risk MDS (p=.05). Heterozygous CUX1 mutations were more commonly associated with normal cytogenetics (p=.01). Patients with -7/del(7q) frequently represented del(5q) (p=.04) and thrombocytopenia (p=.001). The OS of patients with CUX1 mutations was shorter (p=.04) as was that of patients with CUX1/deletions (p=.02) when compared to wild type. We subsequently studied the molecular background of CUX1 alterations. CUX1 mutations (vs. wild type) were associated with TET2 (31% vs. 14%, p=.006), ASXL1 (29% vs. 9%, p=.0005), BCOR (28% vs. 8%, p=.0004), and cohesion mutations (26%, vs. 5%, p=.0005), while NPM1 mutations showed the reverse relationship (1% vs. 7%, p=.03). RAS and CUX1 mutations were mutually exclusive (0% vs. 6%, p=.03). When we analyzed clonal hierarchy in the context of CUX1 mutations; dominant CUX1 mutations (24%; mean VAF=49%); were accomplished by ASXL1 (21%) and SRSF2 (14%) mutations which were the most common secondary events in this context. Phenotypically, dominant CUX1 mutations were associated with MDS/MPN (42%) and MDS (33%). 14% of CUX1 mutant cases did not harbor any other alterations and were not associated with a discernable phenotype. Secondary CUX1 lesions (62%; mean VAF=22%) were found in the context of dominant TET2 mutations (16%). The pathomorphologic context of secondary CUX1 mutation did not differ from that of primary lesions. AML seemed to be underrepresented (p=.006) and MPN overrepresented (p=.019) among dominant CUX1 mutant cases. In conclusion, CUX1 lesions including locus deletions with haploinsuffciency, mutations and a fraction of cases with decreased CUX1 expression can be encountered in MDS and related neoplasms, chiefly AML. CUX1 dysfunction is associated with poor survival likely due to its distinct molecular background. Disclosures Makishima: The Yasuda Medical Foundation: Research Funding. Sekeres:Millenium/Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4332-4332
Author(s):  
Aziz Nazha ◽  
Rami S. Komrokji ◽  
John Barnard ◽  
Najla H Al Ali ◽  
Gail J. Roboz ◽  
...  

Abstract Background Lower-risk (LR) MDS (Low/Int-1 per International Prognostic Scoring System (IPSS)) are a heterogeneous group of disorders characterized mainly by refractory anemia and transfusion dependency. As survival of this patient (pt) population is measured in years. Goals of therapy focus on decreasing blood transfusions, improving quality of life, while minimizing treatment toxicities. While achieving complete remission (CR) in higher-risk MDS correlates with improved overall survival (OS), its relationship to OS in LR MDS is not well defined. We evaluated the impact of achieving CR on OS in LR MDS and defined the clinical characteristics that may predict for this response in this pt population. Method Included pts were diagnosed with MDS (per 2008 WHO criteria) and had LR disease with clinical and pathologic data collected from MDS Clinical Research Consortium institutions. Only pts with bone marrow blasts of 5-9% who would thus qualify both as having LR MDS and for being eligible to assess CR were included. Responses (including CR, PR, HI, stable disease and progressive disease) were defined per International Working Group 2006 criteria. OS was calculated from the time of achievement of best response to time of death or last follow-up. Cox proportional hazard analysis that included all clinical variables and treatment characteristics was used to identify independent prognostic factors. Results Of 1470 pts included in the database, 999 identified with LR disease, and 174 had bone marrow blasts of 5-9%. The median age was 60 years (range, 22-87), and 37% were female. Median neutrophil count was 1.25 X 109\L (range, .10-51.0), hemoglobin was 9.8 g/dl, platelets were 109 k/ml (range, 18-562), and bone marrow blasts were 6% (range, 5-9%). Best responses to therapy included: 26 pts (15%) with CR, 10 pts (6%) with PR, and 13 pts (7%) with HI. Among pts who achieved CR/PR/HI, 27 received HMA (25 with azacidtine +/- combination and 2 with single agent decitabine), 16 intensive chemotherapy, 2 lenalidomide, and 4 received other therapies. With a median follow up from diagnosis of 31.2 months, the median time from diagnosis to best response was 11.9 months (range, .69-81.0) and was similar in pts who achieved CR compared to PR/HI (11.5 vs. 12.4 months, respectively, p = .74). The median OS from time of CR/PR/HI for the entire cohort was 21.3 months. The median OS for pts who achieved a CR was longer compared to pts with PR/HI (46.5 vs. 18.5 months, respectively, p = .03). In multivariate analyses that included clinical variables and treatment history, achieving CR remained an independent prognostic factor for longer OS (HR .32, p = .03) but no individual demographic, clinical or treatment variables were predictive of CR. Conclusions Similar to pts with higher-risk MDS, LR MDS pts who achieve CR to therapy have improved OS compared to those with PR or HI. CR is thus an important endpoint in LR MDS, though is difficult to predict. As OS is measured in years in LR MDS, CR may be used as a surrogate endpoint for OS in clinical trials in this pt population. Disclosures Komrokji: Novartis: Consultancy, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Roboz:Cellectis: Research Funding; Agios, Amgen, Amphivena, Astex, AstraZeneca, Boehringer Ingelheim, Celator, Celgene, Genoptix, Janssen, Juno, MEI Pharma, MedImmune, Novartis, Onconova, Pfizer, Roche/Genentech, Sunesis, Teva: Consultancy. Sekeres:Millenium/Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.


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