scholarly journals Introducing a Predictive Score for Successful Treatment Free Remission in Chronic Myeloid Leukemia (CML)

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 26-26 ◽  
Author(s):  
Simone Claudiani ◽  
Silvia Metelli ◽  
Rafiee Kamvar ◽  
Richard Szydlo ◽  
Afzal Khan ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Cox Model ◽  
Univariate Analysis ◽  
Age At Diagnosis ◽  
Predictive Score ◽  
Rank Test ◽  
Advisory Committees ◽  
Tki Resistance

Background: Treatment free remission (TFR) is now a realistic goal of treatment for CML. Approximately 50% of patients (pts) who discontinue tyrosine kinase inhibitors (TKI) after achieving deep molecular responses (DMR) are able to remain off treatment without losing major molecular response (MR3). Data from the largest available TKI stopping trial, EURO-SKI, showed that the most important variable associated with prolonged TFR is the duration of DMR. However, to date no clinical tool exists to guide clinicians and patients in predicting the likelihood of success of TFR attempt. Methods: We performed a retrospective analysis of clinical data from 172 pts with CML in whom treatment was discontinued in 6 hospital centres in order to identify factors associated with TFR. Data analysis started with a training set (TS) derived from pts treated at a single centre which was then validated on a validation set (VS) derived from the 5 other centres. Eligibility criteria included diagnosis of CML in chronic phase, a minimum duration of treatment with TKI of 3 years and discontinuation of TKI after achievement of confirmed ≥MR4. Patients diagnosed in accelerated phase CML and/or who underwent prior allogeneic stem cell transplant were excluded. Kaplan-Meier method was used for univariate analysis, with log-rank test for group comparison. A Cox proportional hazards model was employed with the purpose of choosing the most influential prognostic predictors on the probability of TFR in MR3 (pTFR3) and TFR in MR4 (pTFR4) on the TS. Variables with a p-value ≤0.1 entered in the multivariate analysis (MVA). Proportional hazard assumptions were tested for the final model. A prognostic TFR score was built from the combination of the predictors identified by the Cox model and validated on the VS. Results: The TS included 118 pts, while the VS 54 pts (Table 1). In the TS, the 2-year pTFR3 was 67.4% (95% CI 66.5-68.3%) and the 2-y pTFR4 was 56.8% (95% CI, 55.9-57.7%). The median time to MR3 loss was 3.8 months (range 1-31), and for MR4 loss was 3.2 months (range 0.8-24.5). After loss of MR4, the 1-year probability of MR3 loss was 77% (95% CI, 70.8-73.2%). However, 10 pts (8.5%) resumed TKI after MR4 loss and were not evaluable for time to loss of MR3. In univariate analysis, the variables most significantly associated with higher pTFR3 and pTFR4 were age at diagnosis >40 years (p=0.029 and p=0.002), absence of previous TKI resistance (p=0.003 and p= 0.068), longer duration of MR4 (p=0.003 and p<0.0001) and ≥MR4.5 at stopping (p=0.026 and p= 0.004). Variables entered into the MVA were age at diagnosis, BCR-ABL1 transcript type, Sokal score, dose of TKI at stopping, previous TKI resistance, duration of MR4 at stopping, depth of response at stopping. The Cox model suggested the inclusion of the following variables, for both pTFR3 and pTFR4: duration of MR4, previous TKI resistance, age at diagnosis and transcript type. Using these variables we developed a predictive score (Figure 1a), which was able to identify a good risk population (2-y pTFR3 81.8%, 2-y pTFR4 80%); intermediate (66.6% and 61.5%) and poor risk (42.3% and 30.8%) (overall log-rank test p=0.00092 and p <0.0001 for pTFR3 and pTFR4, respectively)(Figure 1b). The score was tested on the VS of 54 pts. In this population, the overall 2-y pTFR3 and pTFR4 were 61.3% (95% CI, 59.8-62.7%) and 42.6% (95% CI, 41.2-44%), respectively. Despite the small sample size, our score was still able to predict different 2-y TFR probabilities (Figure 1c) in the three risk groups. Of the pts who lost MR3 in the TS (n=39), 37 regained ≥MR3 after resuming TKI; 1 patient did not restart TKI and died from an unrelated cause; 1 patient had only 2 months follow-up after TKI resumption. In the VS, 15 of 21 pts losing MR3 achieved ≥MR3 again after TKI resumption; 3 pts had a follow-up <3 months after MR3 loss, 2 were lost to follow-up and 1 had not yet re-gained MR3 6 months after restarting TKI. In both cohorts no case of disease progression had occurred at last follow-up. Conclusions:This retrospective study confirms the safety of TFR attempt and identifies variables strongly associated with prolonged TFR. The resulting predictive score presented here, if validated in larger patient cohorts, might help in tailoring the choice of TKI discontinuation to the individual patient. Also, most pts who lose MR4 inevitably lose MR3, suggesting the importance of a more intense monitoring strategy in this subgroup. Disclosures Claudiani: Pfizer: Honoraria; Incyte: Honoraria. Byrne:Ariad/Incyte: Honoraria, Speakers Bureau. Rothwell:Incyte: Speakers Bureau; Novartis: Honoraria, Other: advisory board; Pfizer: Speakers Bureau. Copland:Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: 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, Speakers Bureau; Astellas: Honoraria, Speakers Bureau; Cyclacel: Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Clark:Ariad/Incyte: Honoraria; Pfizer: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Milojkovic:BMS: Honoraria, Speakers Bureau; Pfizer: Honoraria, Speakers Bureau; Incyte: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau. Apperley:Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: 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, Research Funding, Speakers Bureau; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

Analysis of Transfusion Dependency Development and Disease Evolution in Patients with MDS with 5q- and without Transfusion Needs at Diagnosis

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3180-3180
Author(s):  
Felix Lopez-Cadenas ◽  
Blanca Xicoy ◽  
Silvia Rojas P ◽  
Kaivers Jennifer ◽  
Ulrich Germing ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Board Of Directors ◽  
Research Funding ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Rank Test ◽  
Advisory Committees ◽  
Disease Evolution ◽  
Free Survival

Abstract Introduction: Myelodysplastic syndrome with del5q (MDSdel5q) is the only cytogenetically defined MDS category recognized by WHO in 2001, 2008 and 2016 and is defined as a MDS with deletion on the long arm of chromosome 5 and less than 5% of blast cells in bone marrow. It is known that for patients with MDSdel5q and transfusion dependence (TD), Len (LEN) is the first choice of treatment. However, data regarding factors that may impact on the development of TD or disease evolution in patients diagnosed without TD are scanty. In our study a retrospective multicenter analysis on patients with low-int 1 MDSdel5q without TD at diagnosis has been performed in order to answer these questions. Patients and methods: We performed a multicenter collaborative research from the Spanish (RESMD) and German MDS registries. Data from 153 low risk MDSdel5q without TD at diagnosis were retrospectively analyzed. Statistical analysis: Data were summarized using median, range, and percentage. The event of TD was defined as the development of TD according to the IWG criteria (2006) and/or the beginning of a treatment which could modify disease course (LEN or ESA). Transfusion or treatment free survival (TFS), overall survival (OS) and leukemia free survival (LFS) were measured from diagnosis to TD or treatment, the first occurred (or to last follow up if none), last follow up or death from any cause and evolution to AML, respectively. TFS, OS and LFS were analyzed using the Kaplan Ð Meier method. The Log-rank test was used to compare variables and their impact on survival for univariate analysis.Multivariate analysis was performed using Cox's proportional hazards regression model. For comparison of Kaplan Meier curves the long rank test was used, with statistical significance with p<0.05. Statistical analysis was performed using SPSS 20.0. Results: Main clinical and biological characteristics were summarizing in table 1. From the total of 153 patients, finally 121 were evaluable. During the study 56 patients (46.2%) became in TD and 47 (38.8%) did not develop TD but received a modified disease course treatment. In this sense, most of the patients developed relevant anemia regarding those data (103 out of 121 patients, 85%). Median time to TD or treatment (TFS) was 20 months (1-132) from diagnosis. Secondary MDS (p=0.02), thrombocytosis (>350 109/L) (p=0.007), and neutropenia (<1.5 x 109/L) (p=0.02) were associated with poorer TFS. Thrombocytosis and neutropenia retained statistical significance in the multivariate analysis (Table 2). Among the TD patients (N=56), 42 (75%) received treatment: 28 LEN, 7 ESA and 7 other treatments. Among patients that did not develop TD (N=65), 47 (72.3%) received treatment before TD development: 16 LEN, 28 ESA and 3 other treatments. In order to know the evolution of these patients, survival analysis was performed. Median follow up was 58.9 months among alive patients and 57% of them were alive at the time of the last follow up. Estimated OS at 2 and 5 years was 94% and 64%. Regarding Univariate analysis, platelet <100 x 109/L (p=0.03), patients older than 71 years (p=0.001), and progression into AML (p=0.02) were associated with poorer OS. On the contrary, patients who had received treatment showed better OS (p<0.0001). This benefit is more evident among patients receiving LEN, median OS for patients receiving LEN, ESA/other treatments and not treated group was 137 months (CI 95%: 59,4 -215,5), 99,3 months (CI 95%: 46,6 -152) and 57,9 months (CI 95%: 38,2 -77,6), respectively, p<0.0001 (Figure 1). In the multivariate analysis, patients older than 71 years and LEN treatment retained the statistical significant impact on OS (Table 2). Twenty-eight patients (23%) progressed into AML, median time to AML was 35 months (5-122). When univariate analysis was performed, variables with adverse impact on LFS were platelets <100 x 109/L(p=0.019), neutropenia < 0.8 x 109/L (p=0.026), an additional cytogenetic abnormality (p=0.013) while treatment with LEN had a favorable impact (p=0.035). In the multivariate analysis only the presence of additional cytogenetic abnormalities retained statistical significance (Table 2). CONCLUSIONS: Most of the patients with low risk del(5q) MDS and no TD at diagnosis developed symptomatic anemia very early after diagnosis (20 months). Carefully monitoring should be stablished in order to detect this time point. Outcome of this subset of patients could improve after target therapy. Figure 1 Figure 1. Disclosures Del Cañizo: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; janssen: Research Funding; Astex: Membership on an entity's Board of Directors or advisory committees. Díez Campelo:celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Research Funding; Astex: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Tracking Daratumumab Clearance Using Mass Spectrometric Approaches: Implications on M Protein Monitoring and Reusing Daratumumab

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2707-2707
Author(s):  
Nadine Abdallah ◽  
David L Murray ◽  
Angela Dispenzieri ◽  
Prashant Kapoor ◽  
Morie A. Gertz ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Plasma Cell ◽  
Research Funding ◽  
Univariate Analysis ◽  
M Protein ◽  
Urine Protein ◽  
Advisory Committees ◽  
Plasma Cell Disorders

Abstract Background: MASS-FIX is a screening method for serum and urine monoclonal proteins in multiple myeloma and related plasma cell disorders, which uses immunoglobulin enrichment coupled with matrix-assisted laser desorption ionization time-of-flight mass-spectrometry (MALDI-TOF). In addition to superior sensitivity over conventional gel-based techniques, MASS-FIX can distinguish therapeutic monoclonal antibodies (MoAb) from patient's M protein. As the utilization of therapeutic MoAbs increases, it is essential to understand the persistence pattern of these therapeutic antibodies in the serum. We designed this study to evaluate the duration of daratumumab detection by MASS-FIX in the serum of treated patients. Methods: We used a prospectively maintained database at Mayo clinic to identify patients with multiple myeloma and related plasma cell disorders who were treated with a daratumumab-containing regimen anytime during their disease course and had serial MASS-FIX data available after discontinuation of daratumumab. A univariate analysis was performed to assess for factors that may impact the clearance of daratumumab. Results: We included 125 patients with plasma cell disorders who received daratumumab as first or subsequent line of treatment between March 15 th, 2016, and March 4 th, 2020. The median age was 60.2 years and 57% were male. The most common diagnoses were multiple myeloma (70%) and light chain amyloidosis (18%). Daratumumab-based treatments were initiated after a median of 28.8 (IQR: 6.4-76.3) months from initial diagnosis. The most common regimen used was daratumumab, bortezomib and dexamethasone (23%); 26% underwent transplant after daratumumab-based induction. The median duration of treatment with a daratumumab-based regimen was 208 (IQR: 99-479) days. The median follow-up from the time of daratumumab discontinuation was 457 (95% CI: 346-NR) days. By last follow up, daratumumab was not detected by MASS-FIX in 93 (74%) patients but remained detectable in 32 (26%) patients. The median time from daratumumab discontinuation to disappearance of daratumumab by MASS-FIX was 160 (IQR: 107-233) days. On univariate analysis, the presence of ≥0.5 grams of urine protein was associated with earlier disappearance of daratumumab on MASS-FIX [risk ratio (RR): 2.0, P=0.02). The median time from daratumumab discontinuation to disappearance of daratumumab on MASS-FIX was 116 (95%CI: 76-160) days in patients with urine protein ≥0.5 grams and 203 (95%CI: 162-216) days in patients with urine protein &lt;0.5 grams (P=0.02). There was no association between the time to disappearance of daratumumab by MASS-FIX and old age ≥70 (RR: 0.9, P=0.81], male gender (RR: 0.9, P=0.60), eGFR &lt;60 (RR: 1.0, P=0.98), daratumumab schedule (every 1/2 weeks vs &gt;2weeks) (RR: 1.0, P=0.97), treatment duration (&lt;200 days vs ≥200 days) ( RR: 1.0, P=0.95), or transplantation status (RR: 1.0, P=0.98). Conclusion: The therapeutic monoclonal antibody daratumumab remains detectable in the serum of treated patients by MASS-FIX for several months after discontinuation and the duration varies between individual patients. This data has implications for diagnostic and monitoring testing and may provide guidance for reuse of daratumumab in clinical trials and practice. Proteinuria is associated with earlier disappearance of daratumumab by MASS-FIX and may have implications in patients with amyloidosis and monoclonal immunoglobulin deposition disease (MIDD). Further studies are needed to identify additional factors associated with the timing of disappearance. Disclosures Murray: Mayo Clinic: Other: Has received patents for the Mass-Fix technology which has been licensed to the Binding Site with potential royalties.. Dispenzieri: Takeda: Research Funding; Alnylam: Research Funding; Pfizer: Research Funding; Oncopeptides: Consultancy; Sorrento Therapeutics: Consultancy; Janssen: Consultancy, Research Funding. Kapoor: Karyopharm: Consultancy; Cellectar: Consultancy; BeiGene: Consultancy; Pharmacyclics: Consultancy; Sanofi: Consultancy; Amgen: Research Funding; Ichnos Sciences: Research Funding; Regeneron Pharmaceuticals: Research Funding; Glaxo SmithKline: Research Funding; Karyopharm: Research Funding; Sanofi: Research Funding; Takeda: Research Funding; AbbVie: Research Funding. Gertz: Akcea Therapeutics, Ambry Genetics, Amgen Inc, Celgene Corporation, Janssen Biotech Inc, Karyopharm Therapeutics, Pfizer Inc (to Institution), Sanofi Genzyme: Honoraria; Ionis Pharmaceuticals: Other: Advisory Board; Akcea Therapeutics, Alnylam Pharmaceuticals Inc, Prothena: Consultancy; Aurora Biopharma: Other: Stock option; AbbVie Inc, Celgene Corporation: Other: Data Safetly & Monitoring. Dingli: Alexion: Consultancy; Novartis: Research Funding; Apellis: Consultancy; Janssen: Consultancy; Sanofi: Consultancy; GSK: Consultancy. Kumar: Antengene: Consultancy, Honoraria; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bluebird Bio: Consultancy; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Merck: Research Funding; Roche-Genentech: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Beigene: Consultancy; Oncopeptides: Consultancy; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Research Funding; Carsgen: Research Funding; Tenebio: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding.

scholarly journals Busulfan/Fludarabine- or Treosulfan/Fludarabine-Based Conditioning Regimen in Patients with Wiskott-Aldrich Syndrome Given Allogeneic Hematopoietic Cell Transplantation — an EBMT Inborn Errors Working Party and Scetide Retrospective Analysis

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2175-2175 ◽  
Author(s):  
Michael H. Albert ◽  
Mary Slatter ◽  
Andrew Gennery ◽  
Tayfun Guengoer ◽  
Henric-Jan Blok ◽  
...  
Keyword(s):  
Stem Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Rank Test ◽  
Unrelated Donor ◽  
Advisory Committees ◽  
Secondary Procedure ◽  
Log Rank Test ◽  
Secondary Procedures

Abstract PV and AL contributed equally Multiple studies from the EBMT registry and others have shown excellent survival rates after allogeneic haematopoietic stem cell transplantation (HSCT)for Wiskott-Aldrich syndrome (WAS) patients (Ozsahin et al, Blood 2008). The importance of myeloid engraftment for full disease correction has also been demonstrated (Moratto et al, Blood 2011). However, the vast majority of HSCTs in these studies were performed with (oral) busulfan/cyclophosphamide-based conditioning and in the early 2000 years or before. In 2005, the inborn errors working party (IEWP) of EBMT and ESID first recommended busulfan/fludarabine (BuFlu) or treosulfan/fludarabine (TreoFlu) based conditioning for primary immunodeficiencies such as WAS, with some centers deciding to add thiotepa (TT) to the conditioning. We performed a retrospective analysis via the EBMT and SCETIDE registries of WAS patients transplanted between 01/01/20006 and 12/31/2016 with these two regimens. The primary objective was to compare the overall (OS) and event-free survival (EFS) after HSCT with either BuFlu±TT or TreoFlu±TT conditioning. Secondary objectives included the influence of either conditioning regimen on acute and chronic GVHD, the degree of donor chimerism, incidence of secondary procedures after HSCT (2nd HSCT, stem cell boost, DLI, gene therapy or splenectomy) and rates of disease-specific complications after HSCT. At the time of this interim analysis, 174 patients were included, 92 (53%) with BuFlu±TT and 82 (47%) with TreoFlu±TT conditioning with a median age of 1.57 years (range 0.21-29.96) at HSCT and a median follow-up of 32.9 months (range 1.5-128.9). The donor was an HLA-matched sibling (MSD) in 30, a matched related donor (MRD) in 5, a matched unrelated donor (MUD, 9/10 or 10/10) in 105, a mismatched unrelated donor (MMUD, <9/10) in 9 and a mismatched family donor (MMFD) in 25 (18 with ex-vivo T-cell depletion). Stem cell source was bone marrow in 93 (53%), peripheral blood in 62 (36%) and cord blood in 18 (10%). Two year overall survival (OS) of the entire cohort was 88.6% (95% confidence interval 83.5%-93.6%). There was no significant difference in OS between patients treated with BuFlu±TT or TreoFlu±TT conditioning (2-year OS 88.1% vs. 89.5%; log-rank test p=0.7). Patients aged >5 years had a worse OS as compared to those 5 years or younger at HSCT (74.9% vs. 90.8%; log-rank test p=0.005). The type of donor had no influence on OS: 96.4% for MSD/MFD, 86.8% for MUD/MMUD and 87.7% for MMFD (log-rank test p=0.4). Whole blood chimerism was complete (>90% donor) in 60/75 evaluable patients (80%) at last follow-up or before secondary procedure (if a patient had one), 39/40 (98%) in the BuFlu±TT group and 21/35 (60%) in the TreoFlu±TT group. Twenty-six patients required a secondary procedure: stem cell boost in 4 patients, donor lymphocyte infusion in 9, 2nd HSCT in 15 and splenectomy in 1. Twenty-two of these 26 (84.6%) are alive and 14 of 16 with available chimerism data have a complete donor chimerism (>90%donor) at last follow-up. The 2-year cumulative incidence (CI) of secondary procedures was higher at 33.9% in the TreoFlu±TT versus 12.8% in the BuFlu±TT group (Gray's test p=0.017), and 2-year EFS (secondary procedure or death as event) was 61.4% in the TreoFlu±TT and 75.0% in the BuFlu±TT group (log-rank test p=0.2). Grade II-IV acute GVHD had the same incidence in both groups (100 day CI 24.4% vs. 26.3%; Gray's test p=0.849) and chronic GVHD of any grade was borderline more frequent in the TreoFlu±TT group (2 year CI 17.2% vs 6.7%; Gray's test p=0.054). The cumulative incidence of disease-specific complications occurring more than 6 months post HSCT (severe infections, bleeding, autoimmunity) was not different between the two groups (6.5% vs. 6.4%; Gray's test p=0.92). There was no malignancy reported after HSCT except for one EBV-post-transplant lymphoproliferative disorder (PTLD) 2.7 months after HSCT. In summary, HSCT with either BuFlu±TT or TreoFlu±TT conditioning reliably cures almost 90% of patients with WAS regardless of donor type. WAS-related complications are very rare events more than 6 months post HSCT. More patients required secondary procedures after treosulfan-based than busulfan-based conditioning. These data confirm the feasibility and efficacy of the regimens currently recommended by the IEWP. Disclosures Slatter: Medac: Other: Travel assistance. Chiesa:Gilead: Consultancy; Bluebird Bio: Consultancy. Kalwak:Sanofi: Other: travel grants; medac: Other: travel grants. Locatelli:Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; bluebird bio: Consultancy; Bellicum: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Miltenyi: Honoraria. Sykora:Aventis-Behring: Research Funding; medac: Research Funding. Zecca:Chimerix: Honoraria. Veys:Pfizer: Honoraria; Servier: Research Funding; Novartis: Honoraria.

scholarly journals Impact of Genomic Alterations on Outcomes in Myelofibrosis Patients Undergoing JAK1/2 Inhibitor Therapy

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4263-4263
Author(s):  
Jay Spiegel ◽  
Caroline Jane McNamara ◽  
Andrea Arruda ◽  
Tony Panzarella ◽  
James A. Kennedy ◽  
...  
Keyword(s):  
Treatment Failure ◽  
Board Of Directors ◽  
Research Funding ◽  
Univariate Analysis ◽  
Inhibitor Therapy ◽  
Jak Inhibitor ◽  
Jak Inhibitors ◽  
Advisory Committees ◽  
Number Of Patients

Abstract Introduction: The advent of next generation sequencing (NGS) has brought intense interest to the complex genetic landscape of myeloproliferative neoplasms (MPN). However, data regarding clinical outcomes in the context of novel MPN therapies such as JAK inhibitors are scarce. Limited data indicate that high molecular risk signature (HMR, presence of at least one mutation in ASXL1, EZH2, IDH1/2, SRSF2) or multiple mutations may be associated with decreased spleen response and a shorter time to discontinuation of Ruxolitinib in myelofibrosis (Patel et al, Blood 2015). Methods: All myelofibrosis patients seen in the MPN program at Princess Margaret Hospital between November 2009 and May 2016 and treated with JAK1/2 inhibitor therapy were identified. NGS molecular profiling of 54 genes (39 hotspot region; 15 complete coding region coverage) was performed on peripheral blood or bone marrow samples using the TruSight Myeloid Sequencing Panel. Reporting was restricted to well-covered, exonic nonsynonymous, intronic splice site, and known pathogenic synonymous variants. Variants with global mean allele frequency >1% were identified using multiple population databases (1000 genomes, ESP, ExAC) and excluded. The primary endpoint was time from start of JAK1/2 inhibitor therapy to treatment failure (TTF) defined as treatment discontinuation, progression to accelerated phase or leukemic transformation, spleen progression or death. Secondary endpoints included best spleen, anemia and IWG response achieved by 48 weeks of treatment and overall survival. Response was assessed according to the 2013 revised IWG-MRT criteria. Transfusion dependency was assessed as any transfusion in 12 weeks prior to treatment or being identified as transfusion dependent in medical history. Results: Of 159 patients treated with JAK1/2 inhibitors at our institution, 102 met the inclusion criteria (see Table 1). Patients were excluded if; no sample was available for analysis (19), short use of JAK inhibitor prior to transplant (9), active clinical trial (5), in accelerated phase/acute leukemia (4) and others (20). First JAK inhibitor used was ruxolitinib in 77 patients and momelotinib in 25. At least one mutation was identified in every patient. Twenty (20%) patients had one mutation, 32 (31%) had 2 mutations and 50 (49%) patients had ≥ 3 mutations. Eighty (82%) patients had the JAK2V617F mutation, 15 (15%) had mutations in CALR, 4 (4%) had MPL mutations and one patient was triple negative. One patient had mutations in both CALR and JAK2 while another had mutations in MPL and CALR. Forty-eight (47%) patients had mutations consistent with HMR profile. Mutation profile is summarized in Table 2. With median follow-up of 2.5 years, 51 (50%) patients experienced treatment failure. On univariate analysis, TTF was associated with DIPSS, pre-treatment transfusion status and Hb <100 prior to initiating JAK inhibitor therapy. However, TTF was not associated with specific driver mutations, the number of mutations or HMR profile. Exploratory analysis of genes mutated in ≥5% of the population showed EZH2 (p=0.004) and CBL (p=0.005) mutated patients had shorter TTF. Multi-variable analysis employing anemia <100 and DIPSS with either of the number of mutations or HMR profile did not show any association with TTF. There was a trend towards TTF in patients with Hb<100 (HR 2.21, 95%CI: 0.99-4.95, p=0.05). Of 102 patients, 91 were evaluable for spleen response with 43 (47%) achieving a spleen response by 48 weeks of treatment. Twelve (23%) of the 53 patients evaluated met criteria for anemia response. Neither spleen nor anemia response was associated with the use of a particular JAK inhibitor. Of the 95 patients with at least 48-week follow-up, best response while on treatment was clinical improvement and spleen response in 29 (31%) and 19 (20%) patients respectively. Conclusions: In this study of myelofibrosis patients treated with JAK inhibitors, EZH2 and CBL mutated patients had shorter TTF. We did not find any association between TTF and number of mutations or other high risk mutations such as ASXL1/SRSF2. Anemia was the only significant independent predictor of shorter TTF. Our findings highlight the need for multicenter collaborative studies on a large number of patients and cautious use of mutation profiling results in routine clinical decision making with current treatment approaches. Spiegel and McNamara are co-primary authors. Disclosures Panzarella: Cellgene: Consultancy. Schimmer:Novartis: Honoraria. Schuh:Amgen: Membership on an entity's Board of Directors or advisory committees. Yee:Novartis Canada: Membership on an entity's Board of Directors or advisory committees, Research Funding. Kamel-Reid:BMS: Research Funding. Gupta:Novartis: Consultancy, Honoraria, Research Funding; Incyte Corporation: Consultancy, Research Funding.

scholarly journals Age over 55 Years at Diagnosis Increases Risk of Second Malignancies after Auto-Transplantation for Hodgkin's Lymphoma Patients

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3186-3186
Author(s):  
Sai Ravi Pingali ◽  
Rima Saliba ◽  
Paolo Anderlini ◽  
Chitra M. Hosing ◽  
Issa F. Khouri ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Hodgkin’S Lymphoma ◽  
Age At Diagnosis ◽  
Hodgkin's Lymphoma ◽  
Second Malignancy ◽  
Secondary Malignancies ◽  
Second Malignancies ◽  
Advisory Committees

Abstract Introduction: Age at diagnosis is of prognostic value in Hodgkin's lymphoma (HL) patients. However, there is paucity of data on the impact of age on outcomes of autologous hematopoietic transplantation (auto-HCT) for patients with relapsed and refractory HL. We studied impact of age at diagnosis on long-term outcomes of patients with HL undergoing auto-HCT. Patients and Methods: All consecutive patients with relapsed/refractory HL who underwent auto-HCT at our center between January 1996 and December 2010 were included. Baseline patient and disease characteristics were collected. As HL has bimodal peak incidence betweenages of 15 and 34 years and over age of 50 to 55 years, we stratified patients into 3 groups: > 55, 26 to 55 years, and ≤ 25 year age groups. We compared overall survival (OS), progression free survival (PFS), relapse rate and rates of secondary malignancies between these groups. As the outcomes were similar between ≤ 25 and 26 to 55 years groups, subsequent analysis of these two groups was done together as ≤ 55 years vs. > 55 years groups. Baseline patient and disease-related characteristics were compared using the chi-square test for categorical variables and Mann Whitney's rank-sum test for continuous variables. Actuarial OS was estimated using the Kaplan-Meier method. Prognostic factors for OS, disease progression and non-relapse mortality (NRM) were assessed on univariate and multivariate analyses using Cox proportional hazards regression analysis. Results: 30 (9.7%) patients were > 55, 168 (54.1%) patients were between 26 to 55, and 112 (36.1%) were ≤ 25 years of age. At a median follow-up of 80 months, patients > 55 were at significantly higher risk for mortality with hazard ratio (HR) of 2.3 (95% CI, 1.3-4.2; P = 0.007) compared to patients ≤25 years of age. There was no difference in mortality when between age 26 to 55 years and ≤ 25 years group (HR 1.0; 95% CI, 0.6-1.6; P = 0.9). Risk for progression was similar between the 3 groups, with HRs of 1.3 (95% CI, 0.7-1.5; P = 0.5) and 1.2 (95% CI, 0.8-1.8; P = 0.3) for > 55 group and 26 to 55 groups, respectively compared to ≤ 25 years group (Table 1). Patients > 55 years at diagnosis had significantly higher incidence of secondary malignancies mostly MDS/AML(30% vs. 8%; P<0.001) than patients ≤ 55 years (Figures 1) leading to higher NRM. Prior radiation therapy, time from initial diagnosis to transplant and number of prior therapies did not impact risk for second malignancies. Conclusion: Patients >55 years at diagnosis who receive auto-HCT for relapsed/refractory HL experience higher mortality from secondary malignancies. Table 1. Outcomes of Auto-HCT at Median Follow-Up of 80 Months Outcomes Entire Cohort > 55 yearsN = 30 ≤ 55 yearsN = 280 P value OS 65% (59-71) 27% (9-49) 69% (63-74) 0.003 PFS 54% (48-60) 31% (12-53) 56% (50-62) 0.2 CI of progression 41% (26-64) 52% (36-75) 37% (32-44) 0.7 CI of NRM 8% (5-12) 33% (16-65) 5% (3-9) 0.001 CI of second malignancy 11% (7-16) 30% (16-57) 8% (5-14) < 0.001 CI of second malignancy excluding skin cancers 9% (6-13) 22% (10-49) 7% (4-12) 0.003 SHAPE P=0.001 P <0.001 Figure 1. A-CI of second malignancies & 1B-CI of NRM Figure 1. A-CI of second malignancies & 1B-CI of NRM Disclosures Fanale: Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Research Funding; Infinity: Membership on an entity's Board of Directors or advisory committees; Spectrum: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Honoraria, Research Funding; Genentech: Research Funding; Medimmune: Research Funding; Novartis: Research Funding; Bayer: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Molecular Templates: Research Funding; ADC Therapeutics: Research Funding; Onyx: Research Funding; Gilead: Research Funding.

scholarly journals Measurement of Serum microRNAs in US Veterans with Monoclonal Gammopathy of Undetermined Significance

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5576-5576
Author(s):  
Weixin Wang ◽  
Youn K Shim ◽  
Joel E Michalek ◽  
Emily Barber ◽  
Layla M Saleh ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Monoclonal Gammopathy ◽  
Research Funding ◽  
Plasma Cells ◽  
Univariate Analysis ◽  
Serum Levels ◽  
Advisory Committees ◽  
Rank Regression ◽  
Study Base

Abstract Background Monoclonal gammopathy of undetermined significance (MGUS) is an asymptomatic condition arising from clonal plasma cells and has the risk of transformation to multiple myeloma (MM). Dysregulated expression of microRNAs (miRs) has been well demonstrated in MM, but miRs are not as well characterized in MGUS. We previously found an increased risk for MGUS in Vietnam veterans exposed to Agent Orange and its contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Here we report the effect of age on serum levels of 13 miRs in MGUS cases and controls from that study cohort. Methods The study base population comprised 958 US veterans who participated in the 2002 follow-up of the Air Force Health Study (AFHS). A total of 49 MGUS cases were identified by using their serum stored at the AFHS 2002 follow-up (Landgren O et al. JAMA Oncology, 2015). The current study included 47 MGUS cases and 85 controls. The controls were selected from the veterans who did not have MGUS, did not have a history of tumors, and whose TCDD level was below the third quartile value among the study base. Quantitative real-time PCR (qPCR) was used to determine the serum levels of 13 miRs (let-7a, let-7i, miR-16, miR-20a, miR-21, miR-34a, miR-106b, miR-146a, miR-181a, miR-192, miR-205, miR-335 and miR-361) that were previously shown to be dysregulated in MM or other cancers . The cycle threshold (Ct) values obtained from qPCR were normalized by using spiked-in cel-miR-39 as a control. Univariate rank regression was used to examine the relationships between relative expression of each miR and age, and each miR and MGUS status (MGUS vs control); each miR-MGUS relation was also examined with adjustment for age. All miR values were analyzed in log2 units. Continuously distributed age was summarized by the median and interquartile range (IQR): age variation with MGUS status was assessed with Kruskal-Wallis test. All statistical testing was two-sided with a significance level of p<0.1. Corrections for multiple comparisons were not made. We used R for rank regression analysis and SAS Version 9.4 for Windows for all other analyses. Results Overall MGUS cases were older than controls (median, controls 66 years [IQR 61, 69] versus MGUS 67 years [IQR 64, 71], p=0.03). Rank regression analysis showed that age was significantly and negatively correlated with the serum levels of 9 (let-7a, let-7i, miR-146a, miR-361, miR-106b, miR-16, miR-20a, miR-21, and miR-335) of the 13 miRs examined in controls. Among MGUS cases, age was significantly negatively correlated with only 5 (let-7a, miR-146a, miR-106b, miR-16, and miR-20a) of the 13 miRs and positively correlated with miR-181a and miR-205 (Table 1). In the univariate analysis of the miR-MGUS relationship, the serum levels of 4 miRs (let-7a, miR-106b, miR-16, and miR-21) were significantly associated with MGUS. However, none of these miRs remained significant after adjusting for age. In both adjusted and unadjusted analyses, the miR levels were lower in MGUS cases than in controls with the exceptions of miR-205 (unadjusted) and miR-335 (adjusted). Conclusions and Discussions In this study population, serum levels of the majority of miRs tested were negatively correlated with age in controls. Most of the same miRs were similarly decreased in MGUS with age, with the exception of miR-181a and miR-205 which were positively correlated with age. miR-181a is an important regulator of apoptosis, that is altered in many cancers, and was previously shown to be elevated in plasma cells of MM and MGUS. miR-205 inhibits tumor suppressors PTEN and SMAD4, and has been shown to be increased in several cancers. Of note, based on univariate analysis, several miRs were significantly differentially expressed in MGUS, but failed to remain significant after adjusting for age effect. This finding underscores the importance of assessing the need for age adjustment when analyzing serum miR data. We are currently exploring this data set to determine whether TCDD levels had any independent effect on miR levels in this population. Note: The first two authors contributed equally. Disclosures Landgren: Pfizer: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Karyopharm: Consultancy; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Treatment-Free Remissions in Newly Diagnosed CP CML Patients Treated with the Combination of Nilotinib + Pegylated Interferon Alpha 2a Versus Nilotinib Alone in the National Phase III Petals Trial

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2553-2553
Author(s):  
Franck E. Nicolini ◽  
Gabriel Etienne ◽  
Francoise Huguet ◽  
Agnès Guerci-Bresler ◽  
Aude Charbonnier ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Primary Endpoint ◽  
Research Funding ◽  
Statistical Difference ◽  
Univariate Analysis ◽  
Phase Iii ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Obstructive Sleep

Abstract Aims: Combining 2GTKI+pegylated IFN-a (Peg-IFN) represents an attractive approach for first-line treatment of CP CML, while providing somewhat light additional AEs, it induces high rates of deep molecular responses. We evaluated nilotinib (NIL) alone versus NIL+Peg-IFN in newly diagnosed CP-CML patients (pts) in a randomised phase III trial (PETALs, EudraCT 2013-004974-82) and analysed here the proportion of patients reaching Treatment-Free Remission (TFR) and outcome. Methods: Newly diagnosed CP CML pts ≤65 years, without vascular history were randomized 1:1 to get NIL 300 mg BID alone [M0 to M72 (unless TFR), arm A] vs Peg-IFN alone for 30 days (M-1→M0) 30 mg/wk, prior to NIL 300 mg BID + Peg-IFN 30 mg/wk 2 wks, upgraded to 45 mg/wk thereafter, for up to 2 y (M0 to M24, arm B) followed by NIL alone until M72 unless TFR. The primary endpoint was the rate of MR4.5 by M12, and after amendment, the trial was extended to 72 months follow-up in order to add, as a secondary endpoint, the TFR rate in pts reaching MR4.5 ≥2 y. The trigger for treatment resumption was loss of MMR. All molecular assessments were centralised until M36, and in case of TFR, MR4.5 was centrally confirmed at M0 TFR, and further molecular follow-up was then performed locally. All molecular quantifications are expressed as BCR-ABL1/ABL1 (IS) in % with ≥32,000 copies of ABL1 as control in the central lab and in the local labs all involved to the pluri-annual French external quality controls. Results are analysed in intention-to-treat. Results: As previously reported, 200 pts were randomized (99 in A, 101 in B), 130 M and 35 F in each arm, median age of 46 (18-66) y. The median follow-up (FU) since diagnosis is now 47.5 (33.77-62.39) Mo. and the median FU since discontinuation is 9.86 (5.8-23) Mo. in arm A and 15.57 (12.62-22.77) Mo. in arm B. Sokal and ELTS scores were high in 25% and 2.5%, intermediate in 33% and 16.5% and low in 42% and 81% pts respectively, equally balanced. All pts harboured a "Major" BCR transcript. We have previously shown that by M12, the rate of MR4.5 was 15.9% vs 21.5% (primary endpoint met, p=0.049) and that the overall cumulative incidence of MR4.5 was somewhat superior in arm B (54.6 [43.7-65.5] %) vs A (44 [31.5-54] %), p=0.05. Two pts died, one from myeloid blast crisis before TFR (arm A), one from a solid tumour (arm A). Overall, 40 pts (20%) reached the TFR criteria, 21 in arm A with a median FU of 9.86 (5.8-23) Mo. and 19 in arm B with a median FU since Nilo cessation of 15.57 (12.62-22.77) Mo, partly related to slightly different time for obtaining sustained MR4.5 in favour of arm B (16 vs 13 Mo.). For these 40 pts reaching TFR criteria, there was no statistical difference in terms of age at diagnosis and age at TFR, gender, Sokal, ELTS, FU since diagnosis, undetectability at cessation, BCR-ABL1 levels at 3 Mo. after cessation between the 2 arms. The survival without loss of MMR after cessation is illustrated in Figure 1. It looks superior in arm B over arm A, but did not reach statistical difference (p=0.445), but the FU is very short after cessation yet, especially in arm A. Once NIL was resumed in the pts that failed TFR, all pts recovered MMR within 6 Mo., with no difference between arms (p=1.00). In univariate analysis, we did not identify significant factor impacting on the TFR success (age at cessation, sex, undetectability at cessation, Sokal, ELTS) except the BCR-ABL1 value at M3-TFR (undetectable versus detectable, HR 7.15 [2.06-24.75], p=0.002), and the duration of MR4.5 before discontinuation (HR 1.11 [1.03-1.19], p=0.004). During this TFR phase 7 SAEs were reported in arm A (2 pregnancies, 1 obstructive sleep apnea, 1 fever episode, 1 carotid stenosis and 1 femoral stenosis in the same patient at 2 Mo. after cessation, 1 lung carcinoid tumor) and 2 in arm B (1 persistent atrial fibrillation, 1 cholecystectomy). Conclusions: The combination of NIL + Peg-IFN induces higher MR4.5 rates by M36 in newly diagnosed CP CML pts that may translate in higher successful TFR rates, however a longer follow-up is needed to see consistent significant differences. Updated data will be presented. Figure 1 Figure 1. Disclosures Nicolini: Kartos Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: travel, accommodations, expenses, Research Funding; Incyte Biosciences: Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau; Sun Pharma Ltd.: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria. Etienne: Incyte: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau. Huguet: Novartis: Other: Advisor; Jazz Pharmaceuticals: Other: Advisor; Celgene: Other: Advisor; BMS: Other: Advisor; Amgen: Other: Advisor; Pfizer: Other: Advisor. Guerci-Bresler: Novartis: Speakers Bureau; Incyte: Speakers Bureau. Charbonnier: Incyte: Speakers Bureau; Novartis: Speakers Bureau. Rousselot: Incyte, Pfizer: Consultancy, Research Funding. Deconinck: Stemline Therapetutics: Membership on an entity's Board of Directors or advisory committees; Imunogen: Membership on an entity's Board of Directors or advisory committees; Chugai: Research Funding; Novartis: Research Funding; Pfizer: Other: Travel Grants, Research Funding; Abbevie: Research Funding. Rea: Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees.

scholarly journals Validation of the International Prognostic Score for Thrombosis in Essential Thrombocythemia (IPSET) in Patients with Pre-Fibrotic Primary Myelofibrosis

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1657-1657
Author(s):  
Paola Guglielmelli ◽  
Alessandra Carobbio ◽  
Elisa Rumi ◽  
Valerio De Stefano ◽  
Lara Mannelli ◽  
...  
Keyword(s):  
Risk Factors ◽  
Board Of Directors ◽  
Incidence Rate ◽  
Research Funding ◽  
Risk Model ◽  
Univariate Analysis ◽  
Thrombotic Event ◽  
Advisory Committees ◽  
Thrombotic Risk

Introduction. Prefibrotic myelofibrosis (pre-PMF) is a unique entity in the 2016 WHO classification of myeloproliferative neoplasms with distinct clinical phenotype and outcome [Guglielmelli P, Blood 2017]. Compared to essential thrombocythemia (ET), pre-PMF is characterized by more pronounced disease manifestations, adverse mutation profile and worse outcome. Previous studies [Rumi E, Oncotarget 2017] showed that patients (pts) with pre-PMF present a risk of vascular events similar to ET. However, no studies performed a comprehensive assessment of risk factors for thrombosis in pre-PMF. The current study aimed to identify risk factors for thrombosis and bleeding in a large series of pre-PMF pts and explore the effectiveness of contemporary prognostic models developed specifically for ET. Patients and Methods. The study included 382 pre-PMF pts, diagnosed by 2016 WHO criteria, referred by 4 Italian Centers. Previously published methods were used to genotype JAK2, MPL, CALR, EZH2, ASXL1, IDH1/2 and SRSF2; a high molecular risk (HMR) category was defined according to Vannucchi A, [Leukemia 2013]. Thrombosis‐free survival (TFS) was determined from diagnosis to the first thrombotic event. Pts were grouped according to the conventional risk stratification system [Barbui T, JCO 2011], IPSET‐thrombosis [Barbui T, Blood 2012] and revised IPSET‐thrombosis [Barbui T, BCJ 2015]. Cox-regression model was used for univariate analysis. Harrell's concordance (C) statistic was calculated to measure the incremental accuracy of multivariable models sequentially adjusted for new predictors of thrombotic risk. A P <0.05 was considered statistically significant. Results. At diagnosis, 65 pts (17%) experienced major thrombotic events which included 35 (9%) arterial and 31 (8%) venous thromboses. With a median follow-up of 6.9 y (range 0.08-32.6), 56 (15%) pts developed an arterial or venous thrombotic event, with a total incidence rate of 1.99% pts/year (pt-y); 30 (8%) were arterial and 28 (7%) venous events with incidence rate of 1.00% pt-y and 0.95% pt-y, respectively. Splanchnic vein thrombosis (SVT) represented the most frequent venous events before/at diagnosis (26%). During the follow-up, 16% and 8% of pts experienced myelofibrotic or leukemic progression, and 105 (27%) died, with incidence rate of 2.05% pt-y, 0.95% pt-y and 3.41% pt-y, respectively. In univariate analysis, factors significant for arterial thrombosis after diagnosis were age >65y (HR 2.88; P=0.005), WBC>10x109/L (HR 2.43; P=0.026), presence of >1 generic CV risk factor (HR 2.16; P=0.047), JAK2V617F (HR 3.35; P=0.027) and HMR status (HR 13.1; P=0.027). Conversely, only history of previous thrombosis (HR 3.06; P=0.005) and previous venous event (HR 5.53; P<0.0001) retained significance for predicting venous thrombosis. Pts were effectively stratified according to IPSET and conventional risk model. The risk of thrombosis in IPSET low-, intermediate-, and high-risk categories was 0.67%, 2.05% and 2.95% pt-y, and 1.47% pt-y and 2.71% pt-y in 2-tiered thrombotic risk model. (Figure 1); in revised-IPSET, 0.54%, 2.23%, 2.44% and 2.69 %pt-y in the very low, low, intermediate- and high-risk category. When WBC>10x109/L or HMR variables were incorporated into IPSET model, the C-statistic increased significantly for the prediction of arterial events: from baseline value of 0.68 to 0.74 adding WBC and 0.91 HMR status. The proportion of pts who experienced major bleeding was 3% prior/at diagnosis,and 7% during follow-up, with total incidence rate of 0.94% pt-y. In univariate analysis, predictors for major bleeding during follow-up were age >75y (HR 3.34; P=0.011), WBC>13x109/L (HR 2.33; P=0.035), presence of >1 generic CV risk factor (HR 2.41; P=0.035), particularly hypertension (HR 2.63; P=0.016) and grade-1 fibrosis (HR 2.28; P=0.05). High platelet count and treatment, including antiplatelet and anticoagulant drugs, did not reach statistical significance. Conclusions. Overall, this study identified independent risk factors for major thrombosis and bleeding in pre-PMF. Of interest, we report that HMR status predicted for arterial thrombosis during the follow-up. Pre-PMF pts showed remarkably high rate of venous thrombosis, mostly represented by SVT. The 3-tiered IPSET prognostic model for thrombosis reliably predicted occurrence of thrombotic events in pre-PMF and should be considered as standard reference. Figure 1 Disclosures Rumi: novartis: Honoraria, Research Funding. Thiele:Shire: Research Funding; Incyte: Consultancy, Honoraria, Other: Remuneration, Research Funding; Sanofi: Consultancy, Honoraria, Other: Remuneration; Novartis: Consultancy, Honoraria, Other: Remuneration, Research Funding; AOP Orphan Pharmaceuticals: Consultancy, Research Funding. Vannucchi:Incyte: Membership on an entity's Board of Directors or advisory committees; Celgene: 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; Italfarmaco: Membership on an entity's Board of Directors or advisory committees; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

Time to Spare Newly Diagnosed Non Transplant Eligible Myeloma from Thalidomide

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5702-5702
Author(s):  
Denis Caillot ◽  
Muriel Newingerm ◽  
Margaret Macro ◽  
Brigitte Pegourie ◽  
Lionel Karlin ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Standards Of Care ◽  
Rank Test ◽  
Prognostic Impact ◽  
Newly Diagnosed ◽  
Median Dose ◽  
Advisory Committees ◽  
Survival Endpoints

Abstract Background. Bortezomib-melphalan-prednisone (VMP) and melphalan-prednisone-Thalidomide (MPT) are the 2 standards of care upfront in Multiple Myeloma (MM) ineligible for transplantation, along with Bendamustine-prednisone in a very limited indication in Europe. These regimens are based on an alkylator plarform, to which cyclophosphamide might replace melphalan in some countries. For patients initially exposed to Thalidomide several options are offered at first relapse with bortezomib or lenalidomide-based therapy and vive versa at subsequent relapses. For patients initially exposed to bortezomib, either they are retreated with a bortezomib-based regimen or receive a lenalidomide-based therapy, but these patients often have never been exposed to thalidomide throughout their myeloma disease history. We hypothesized that patients that will receive the 3 agents, thalidomide first followed by bortezomib and lenalidomide at subsequent relapses, will have a prolonged survival compared to patients that had bortezomib-based first followed by lenalidomide at subsequent relapses but never been exposed to thalidomide upfront. We sought to understand the prognostic impact of receiving versus being spared from Thalidomide in elderly MM newly diagnosed. Method. A total of 76 patients were recruited, 37% had receive thalidomide and 63% never been exposed to thalidomide. Patients were required to be aged ≥65 years, NDMM treated with either thalidomide upfront or never been exposed to thalidomide upfront or later in the myeloma disease course. Response rate was determined according to IMWG. All survival endpoints were evaluated using Kaplan-Meier estimates and compared with the log-rank test. Results. Overall, the median age was 73 years (range, 65 - 85), with 46% aged >75. The m:f ratio was 1.2, 49% of the patients were ISS 3, the median b2m was 4.5mg/L, 33% had an ECOG score ≥ 2, 47% renal insufficiency, 11% had elevated LDH, 8% presence of plasmacytoma, and 11% had adverse FISH (del17p, t(4;14) and or t(14;16)). There was no difference between the 2 studied groups, according to exposure or not to thalidomide. In the thalidomide group, all patients had MPT initially for a median of 8 cycles (range 3 – 12), at a median dose of thalidomide of 100mg/day (50-200), 11% dose reduction, an ORR of 79%, a median PFS of 30 months (CI95% 27;32). In the bortezomib group upfront, patients received Vd, VCd or VMP upfront. The median dose administered of bortezomib was 1.3mg/m², for a median of 5 cycles (2-9). The ORR was 67%, a median PFS of 17 months (CI95% 13;20) with 44% at 2-years PFS. With a median follow-up of 5 years, 93% had relapse, 47% have died. We then sought to compare the OS according to whether the patients were exposed to thalidomide. Interestingly, the median OS of the thalidomide group was 4 years (CI95% 3;5) versus 5 years for the group with no exposition to thalidomide (3.5;6), p=ns. The estimated 6-years OS was 32% and 44% for the 2 groups, respectively. Conclusion. The sequence of bortezomib-based regimen upfront followed by lenalidomide with no exposure to thalidomide in transplant ineligible patients appeared to be slightly superior to the sequence including-based regimen upfront followed by bortezomib and lenalidomide at subsequent relapses. This data needs to be confirmed in a larger study, but it seems that thalidomide could be spared for elderly NDMM that receive bortezomib-based and lenalidomide-based regimens with possibly an improvement of OS in this latter group with a prolonged follow up. Disclosures Gay: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Sanofi: Membership on an entity's Board of Directors or advisory committees. Zweegman:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Long-Term Follow-up of the French 1 Stop Imatinib Study (STIM1) in Chronic Myeloid Leukemia Patients

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 345-345 ◽  
Author(s):  
Gabriel Etienne ◽  
Delphine Rea ◽  
Joelle Guilhot ◽  
Francois Guilhot ◽  
Françoise Huguet ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Univariate Analysis ◽  
Molecular Response ◽  
Baseline Characteristic ◽  
Rt Pcr ◽  
Advisory Committees ◽  
Study Population ◽  
Analysis Point

Abstract Background We previously demonstrated that Imatinib (IM) could be safely discontinued in patients with undetectable minimal residual disease (UMRD) of at least 2 years (Lancet oncology, 2010;11: 1029-1035). We report the update of the STIM1 study with a median follow-up (FU) of 65 months after IM discontinuation. Methods In this multicenter STIM study, imatinib (of >3 years duration) was prospectively discontinued in CML pts who were in deep molecular response (DMR) with UMRD sustained for at least 2 years. The UMRD was defined with sensitivity> to 4.5 log with ³ 50,000 ABL transcripts amplified as internal control. Importantly, the molecular relapse (MR) was defined as positivity of BCR-ABL transcript in quantitative RT-PCR confirmed by a second analysis point indicating the increase of one log in relation to the first analysis point, at two successive assessments, or loss of MMR at one point. Quantitative RT-PCR for BCR-ABL transcripts from peripheral blood was performed every month during the first year and every 2 months thereafter. In cases of molecular relapse, the treating physician was recommended to reintroduce TKI treatment. This study is registered with ClinicalTrials.gov, number NCT00478985 Results From July 9, 2007, to Dec 17, 2009, 100 pts (48 male, 52 female) with CML (50 pts previously treated with interferon) and a median age at inclusion of 59 years (range 29-81) were included in the STIM trial. The median follow-up after treatment discontinuation is 65 months (range 9-84). Five pts died from CML-unrelated causes. Sixty-one pts relapsed of whom 17 have MMR loss at the time of relapse. MR occurred mostly within 6 months after IM discontinuation. Forty-nine (80% of relapsing patients) relapses occurred within month 1 to month 3, 9 (15%) within month 4 to month 7, 3 (5%) within month 18 to month 22. TKI was restarted in 57 out of 61 relapse pts and 55 achieved a second UMRD. With a median FU of 67 months, 39 pts remained free from MR. Among them, 16 were in sustained UMRD while 23 have intermittent positive BCR-ABL assessment without MR. None of the pts experienced a CML progression. The probabilities of relapse-free and treatment-free survivals at 6 months were respectively 43%, 59%; and at 24 months were respectively 38%, 41% after IM discontinuation (figure 1). For those patients who achieved the first 6 months without relapse (landmark analysis) the probability of relapse was 10% at 24 months. In order to identify factors associated with MR, several baseline characteristic of the study population cohort were analyzed, i.e; gender, age at diagnosis and at IM cessation, Sokal and Eutos risk scores, previous treatment with interferon, time from IM start to first UMRD, duration of UMRD before IM discontinuation and IM duration. Using univariate analysis only age and Sokal score were significant factors linked to MR (p=0.0364 and p=0.0210 respectively). Using multivariate analysis (including Age, gender, Previously IFN and duration of treatment) Sokal risk score was the only variable associated with a significant probability of MR (p: 0.0149 overall and odd ratio 7.422 IC95% :1.251-44.026 p=0.0273 for low versus high risk). With a median FU of 65 months, the cumulative duration of the "off treatment" period of the whole study population was 3113 months. Conclusion: With a median follow up > 5 years after stopping treatment, STIM study still demonstrates that IM can be safely discontinued in pts with a DMR of at least 2 years duration. MR occurs mostly during the first six months following IM discontinuation and no MR was recorded after 2 yrs. Treatment resumption in relapse patients was associated with the achievement of a second UMRD in almost all patients. Disclosures Etienne: BMS: Consultancy, Honoraria; NOVARTIS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; ARIAD: Consultancy, Honoraria; PFIZER: Consultancy, Honoraria. Rea:Novartis: Honoraria; BMS: Honoraria; Ariad: Honoraria; Pfizer: Honoraria. Huguet:Novartis: Consultancy, Research Funding; BMS: Consultancy, Speakers Bureau; ARIAD: Consultancy, Speakers Bureau; PFIZER: Consultancy, Speakers Bureau. Legros:Novartis: Research Funding, Speakers Bureau; BMS: Speakers Bureau; ARIAD: Speakers Bureau. Nicolini:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Ariad Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Rousselot:BMS: Consultancy, Speakers Bureau; ARIAD: Consultancy, Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; Novartis: Speakers Bureau. Mahon:NOVARTIS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria; ARIAD: Consultancy, Honoraria, Speakers Bureau; PFIZER: Consultancy, Honoraria.

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