Prognostic Factors for Developing Thrombosis in Polycytemia Vera: A Retrospective Analysis of 331 Patients with Long-Term Follow-up Highlights the Importance of White Blood Cells Levels

Polycythemia Vera (PV) is a chronic myeloproliferative neoplasm characterized by erythrocytosis, constitutively active mutations in JAK2 and an increased susceptibility to thrombotic events (TEs). There is still controversy about the role of increased hematocrit and of other variables including elevated white blood cell count as risk factors for the occurrence of TEs. A better definition of the relative prognostic importance of hematologic parameters would help us to better tailor the therapeutic approach to PV patients (pts), which is currently mainly based on the use of acetilsalycilic acid (ASA), venesection and hydroxyurea . The aim of our study was to analyze if any clinical or laboratory variables were significantly associated to the occurrence of TEs both at PV diagnosis and during the course of the disease in a large series of PV pts uniformly followed at a single Center over a period of 29.5 years from January 1986 to June 2019. Clinical and laboratory data were obtained from the time of diagnosis until death, progression to acute leukemia or last follow-up. Hematocrit (Hct), hemoglobin (Hb), white blood cell (WBC) and platelet (PLT) levels were recorded for each patient at least every 6 months. Among a total of 331 pts, the median age was 65 years (range 30-92 years), and 56% were male. "High risk" features (age ≥ 60 years and/or history of prior thrombosis) were present in 221 pts (66.7%). The incidence of cardiovascular risk factors was: hypertension 64%, diabetes 15%, hyperlipidemia 28%, history of active or remote smoking 41%. Patients on ASA were 279 (84%), 19 (6%) were on oral anticoagulation, while 27 (8%) were on ASA+oral anticoagulant. At PV diagnosis 54 pts (16%) presented with thrombosis, arterial in 32 (59%) and venous in 22 (41%). A previous TE was recorded in 57 pts (17%): in 43 (75%) arterial, in 12 (22%) venous and in 2 (3%) mixed (arterial+venous). Previous thrombosis was the only variable significantly associated with the presence of a TE at PV diagnosis (P=0.02). After PV diagnosis, with a median follow-up of 81 months (range 1-374 months), 63 pts (19%) experienced a TE and 11 of them a further episode, for a total of 74 TEs. The incidence rate (pts/year) of TEs was 2.7%. Forty-two events were arterial (57%), 31 were venous (42%) and 1 (1%) was mixed. It was the first TE for 37 pts. Cerebrovascular accidents and deep-venous thrombosis were the most frequent arterial and venous TEs both at PV diagnosis and throughout the disease course, with a relative incidence of 50% and 32% respectively. The table compares the characteristics of patients who did or did not develop a TE after PV diagnosis. At univariate analysis, PV high risk status, a previous TE and hyperlipidemia at PV diagnosis were significantly associated with a subsequent TE. Among hematologic variables an elevated WBC count at the time of thrombosis, but not Hct or PLT levels, was highly significantly associated with the development of a TE. At multivariate analysis, WBC count ≥10.4 x 10^9/L and hyperlipidemia maintained their independent prognostic value, while high risk status and a previous TE lost their prognostic significance. Both at univariate and multivariate analysis, hyperlipidemia at diagnosis (P=0.009 and P=0.002) and high WBC count at thrombosis (P=0.001 and P=<0.0001) predicted for arterial thromboses, while only a history of prior thrombosis (P=0.03) predicted for venous ones. In conclusion, our analysis confirms that elevated WBC count at the moment of the event more than increased hematocrit is associated to the development of thrombosis in PV pts. We also found that hyperlipidemia was an independent risk factor for arterial thrombosis, calling for an accurate management of increased lipid levels. Whether a reduction of the WBC count during the course of PV may reduce the frequency of TE remains to be demonstrated by prospective studies. Table Disclosures D'Adda: Novartis: Other: Advisory board; Incyte: Other: Advisory board; Pfizer: Other: Advisory board. Rossi:Daiichi Sankyo: Consultancy, Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Other: Advisory board; Alexion: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Conventional Immunochemotherapy (R-CHOEP) Vs High-Dose Immunochemotherapy (R-MegaCHOEP) in Younger Patients with High-Risk Aggressive B-Cell Lymphoma: 10-Year Long-Term Follow-up of a German Lymphoma Alliance (GLA) Study

Blood ◽

10.1182/blood-2019-123637 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1589-1589

Author(s):

Fabian Frontzek ◽

Marita Ziepert ◽

Maike Nickelsen ◽

Bettina Altmann ◽

Bertram Glass ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Advisory Board ◽

High Dose ◽

Advisory Committees ◽

Scientific Advisory Board ◽

Scientific Advisory

Introduction: The R-MegaCHOEP trial showed that dose-escalation of conventional chemotherapy necessitating autologous stem cell transplantation (ASCT) does not confer a survival benefit for younger patients (pts) with high-risk aggressive B-cell lymphoma in the Rituximab era (Schmitz et al., Lancet Oncology 2012; 13, 1250-1259). To describe efficacy and toxicity over time and document the long-term risks of relapse and secondary malignancy we present the 10-year follow-up of this study. Methods: In the randomized, prospective phase 3 trial R-MegaCHOEP younger pts aged 18-60 years with newly diagnosed, high-risk (aaIPI 2-3) aggressive B-cell lymphoma were assigned to 8 cycles of CHOEP (cyclophosphamide, doxorubcine, vincristine, etoposide, prednisone) or 4 cycles of dose-escalated high-dose therapy (HDT) necessitating repetitive ASCT both combined with Rituximab. Both arms were stratified according to aaIPI, bulky disease, and center. Primary endpoint was event-free survival (EFS). All analyses were calculated for the intention-to-treat population. This follow-up report includes molecular data based on immunohistochemistry (IHC) and fluorescent in situ hybridization (FISH) for MYC (IHC: 31/92 positive [40-100%], FISH: 14/103 positive), BCL2 (IHC: 65/89 positive [50-100%], FISH: 23/111 positive) and BCL6 (IHC: 52/86 positive [30-100%], FISH: 34/110 positive) and data on cell of origin (COO) classification according to the Lymph2CX assay (GCB: 53/88; ABC: 24/88; unclassified: 11/88). Results: 130 pts had been assigned to R-CHOEP and 132 to R-MegaCHOEP. DLBCL was the most common lymphoma subtype (~80%). 73% of pts scored an aaIPI of 2 and 27% an aaIPI of 3. 60% of pts had an initial lymphoma bulk and in 40% more than 1 extranodal site was involved. After a median observation time of 111 months, EFS at 10 years was 57% (95% CI 47-67%) in the R-CHOEP vs. 51% in the R-MegaCHOEP arm (42-61%) (hazard ratio 1.3, 95% CI 0.9-1.8, p=0.228), overall survival (OS) after 10 years was 72% (63-81%) vs. 66% (57-76%) respectively (p=0.249). With regard to molecular characterization, we were unable to detect a significant benefit for HDT/ASCT in any subgroup analyzed. In total, 16% of pts (30 pts) relapsed after having achieved a complete remission (CR). 23% of all relapses (7 pts) showed an indolent histology (follicular lymphoma grade 1-3a) and 6 of these pts survived long-term. In contrast, of 23 pts (77%) relapsing with aggressive DLBCL or unknown histology 18 pts died due to lymphoma or related therapy. The majority of relapses occurred during the first 3 years after randomization (median time: 22 months) while after 5 years we detected relapses only in 5 pts (3% of all 190 pts prior CR). 11% of pts were initially progressive (28 pts) among whom 71% (20 pts) died rapidly due to lymphoma. Interestingly, the remaining 29% (8 pts) showed a long-term survival after salvage therapy (+/- ASCT); only 1 pt received allogeneic transplantation. The frequency of secondary malignancies was very similar in both treatment arms (9% vs. 8%) despite the very high dose of etoposide (total 4g/m2)in the R-MegaCHOEP arm. We observed 2 cases of AML and 1 case of MDS per arm. In total 70 pts (28%) have died: 30 pts due to lymphoma (12%), 22 pts therapy-related (11 pts due to salvage therapy) (9%), 8 pts of secondary neoplasia (3%), 5 pts due to concomitant disease (2%) and 5 pts for unknown reasons. Conclusions: This 10-year long-term follow-up of the R-MegaCHOEP trial confirms the very encouraging outcome of young high-risk pts following conventional chemotherapy with R-CHOEP. High-dose therapy did not improve outcome in any subgroup analysis including molecular high-risk groups. Relapse rate was generally low. Pts with aggressive relapse showed a very poor long-term outcome while pts with indolent histology at relapse survived long-term. Secondary malignancies occurred; however, they were rare with no excess leukemias/MDS following treatment with very high doses of etoposide and other cytotoxic agents. Supported by Deutsche Krebshilfe. Figure Disclosures Nickelsen: Roche Pharma AG: Membership on an entity's Board of Directors or advisory committees, Other: Travel Grants; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Travel Grant; Janssen: Membership on an entity's Board of Directors or advisory committees. Hänel:Amgen: Honoraria; Celgene: Other: advisory board; Novartis: Honoraria; Takeda: Other: advisory board; Roche: Honoraria. Truemper:Nordic Nanovector: Consultancy; Roche: Research Funding; Mundipharma: Research Funding; Janssen Oncology: Consultancy; Takeda: Consultancy, Research Funding; Seattle Genetics, Inc.: Research Funding. Held:Roche: Consultancy, Other: Travel support, Research Funding; Amgen: Research Funding; Acrotech: Research Funding; MSD: Consultancy; Bristol-Myers Squibb: Consultancy, Other: Travel support, Research Funding. Dreyling:Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: scientific advisory board, Research Funding, Speakers Bureau; Bayer: Consultancy, Other: scientific advisory board, Speakers Bureau; Celgene: Consultancy, Other: scientific advisory board, Research Funding, Speakers Bureau; Mundipharma: Consultancy, Research Funding; Gilead: Consultancy, Other: scientific advisory board, Speakers Bureau; Novartis: Other: scientific advisory board; Sandoz: Other: scientific advisory board; Janssen: Consultancy, Other: scientific advisory board, Research Funding, Speakers Bureau; Acerta: Other: scientific advisory board. Viardot:Kite/Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria; F. Hoffmann-La Roche Ltd: Honoraria, Membership on an entity's Board of Directors or advisory committees. Rosenwald:MorphoSys: Consultancy. Lenz:Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Research Funding; Agios: Research Funding; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bayer: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Roche: Employment, Honoraria, Research Funding, Speakers Bureau; BMS: Consultancy. Schmitz:Novartis: Honoraria; Gilead: Honoraria; Celgene: Equity Ownership; Riemser: Consultancy, Honoraria.

Download Full-text

Weight Loss Predicts Inferior Outcome in Polycythemia Vera Patients

Blood ◽

10.1182/blood-2020-134801 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 22-23

Author(s):

Albert Jang ◽

Hussein Hamad ◽

Sarvari Venkata Yellapragada ◽

Iberia R. Sosa ◽

Gustavo A. Rivero

Keyword(s):

Weight Loss ◽

High Risk ◽

Blood Cell ◽

Polycythemia Vera ◽

Board Of Directors ◽

Clinical Variable ◽

Advisory Committees ◽

Wbc Count

Background: Conventional risk factors for inferior outcomes in polycythemia vera (PV) include elevated hematocrit, white blood cell (WBC) count, age, and abnormal karyotype. Weight loss adversely impacts survival in cancer patients. JAK2 myeloproliferative neoplasms (MPN) upregulate tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and IL-8 and induce decreased leptin levels leading to weight loss. The impact of weight loss in PV patients receiving best supportive care (i.e. frontline hydroxyurea [HU] therapy, phlebotomy) on overall survival (OS) is largely unknown. In this study, we seek to investigate: (1) differential effect on survival for weight loss, and (2) variables with predictive value for weight loss among JAK2 inhibitor-naïve PV patients. Methods: After IRB approval, 46 patients at the Michael E. DeBakey VA Medical Center diagnosed with PV between 2000 and 2016 were selected for analysis. Our outcome of interest was OS among PV patients exhibiting weight loss versus patients who maintained, gained weight or had minor weight loss. To objectively estimate weight changes overtime, the difference between baseline BMI [BMI-B] at the time of diagnosis and BMI at last follow-up (BMI-L) was obtained for each patient. Survival analysis was performed for PV patients exhibiting more than 10% weight loss (>10%) versus all other patients (less than 10% loss, stable and increased weight) (<10%) over time. Kaplan-Meier (KM) method was used to determine OS. Cox regression model was performed to assess independent role of different variables including age, blood cell counts and ferritin level Statistical analysis was performed using SAS software. Results: Median BMI loss was 10% (0.03-36.72%); 33/46 (71.7%) and 13/46 (28.2%) patients developed <10% and >10% BMI loss, respectively. Baseline characteristics are summarized in Table 1. Median BMI at last follow up was 21 for PV patients exhibiting >10% BMI loss and 27.7 for PV patients exhibiting <10% BMI loss (p<0.01). Median age was higher among patients exhibiting >10% BMI loss (68 vs 56 y, respectively, p=0.006). A non-significant clinical trend for higher WBC was observed among patients losing >10% BMI (10.9 vs 7.6 K/uL, p=0.08). Median Hemoglobin (Hb), hematocrit (Hct) and ferritin were intriguingly lower in the >10% loss group at 16 vs 18.3 g/dL (p=0.01), 49.3 vs 54.2% (p=0.04) and 29.8 vs 50.6 ng/mL (p=0.09) respectively, while median RDW was higher at 18 vs 15.1% (p=0.01). OS was 9125 days vs 5364 days, in patients with <10% and >10% BMI loss, respectively (p=0.02, HR=0.20; CI 95% 0.04-0.84) (Figure 1). On multivariate analysis, age (hazard ratio [HR], 1.34; p<0.02) and WBC count (HR, 1.57; p<0.01), were predictive of OS. Conclusions: A subgroup of PV patients exhibit progressive weight loss. Over 10% BMI reduction is associated with decreased survival, suggesting that "early weight loss" is an independent clinical variable that predicts high risk PV. While a larger study is needed to validate this observation, this small study highlights the role of leukocytosis, advanced age and weight loss in PV. Confirmation of the observations reported here could unveil an important role for pharmacologic and/or dietary interventions to improve survival among high-risk PV patients. Disclosures Rivero: agios: Membership on an entity's Board of Directors or advisory committees; celgene: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Higher Incidence and Risk of Developing Second Solid Cancers (SSC) after Haematopoetic Stem Cell Transplantation (HSCT) As Compared to General Population

Blood ◽

10.1182/blood.v128.22.4610.4610 ◽

2016 ◽

Vol 128 (22) ◽

pp. 4610-4610

Author(s):

Samar Kulkarni ◽

John Murray ◽

Charlotte Smith ◽

Stephanie Cleaver ◽

Michael Dennis ◽

...

Keyword(s):

Risk Factors ◽

Multivariate Analysis ◽

Stem Cell ◽

General Population ◽

Board Of Directors ◽

Primary Site ◽

Single Centre ◽

Advisory Committees

Abstract Introduction: As the number of long-term survivors following HSCT is increasing, the long-term risks and associated morbidity has become important component of survivorship program. The known risk factors for developing cancer include use of chemotherapy agents, radiation exposure, immune dysfunction, previous malignancy in addition to other factors and as HSCT process involves all these factors, this single centre retrospective analysis was undertaken to evaluate the risk of developing SSC in the patients receiving transplant. Methods: From February 1982 to February 2016, 2231 patients received 2495 transplants (median age: 46yr., range: 14-76 yr.; M: 1586, F: 909) for haematological malignancies (Leuk: 744, lymphoma:767, myeloma:848, solid tumours/other:136). Donor was allogeneic (n=744) or autologous (n=1751) and conditioning was with (n=614) or without TBI (n=1881). Donor was sibling (n=375), matched unrelated (n=355), haploidentical relative (n=3) or umbilical cord blood (n=11). Source of stem cell was marrow (n=367), PBSC (n=2086), both (n=31) or cord blood (n=11). GVH prophylaxis included Campath or ATG in 369 cases. Of all the patients 1985 received single transplant, 231 had two, 13 had 3 and 2 had 4 HSCT procedures. Data was analysed as of 15/04/2016 using competing risk model with death as the competing event. Comparison of incidence to general population was performed by computing standardized incidence rates (SIR). Patients with second haematological malignancy were not included in this analysis. Results: Median follow-up was 5.3 years (range: 0-32 years). Patient follow-up was more than 10 years in 467 cases (19%), between 5 to 10 years in 430 (17%), 2 to 5 years in 607 (24%) and less than 1 year in 997 cases (40%). 36% patients were followed-up for more than 5 years. Second solid cancers developed in 116 patients with the incidence of 1% at 5yr (95% CI: 0.5-2.6), 3% at 10 yr (95% CI: 1.6-5.3), 6% at 15yr (95%CI: 3.6-8.8) and 10% (95% CI: 5.9-15.5) at 20 years. Median time to develop SSC from date of HSCT was 11 yr (range: 0.4-28.1 yr). Primary site for SSC included skin (n=37), breast (n=22), GI (n=15), GU (n=16), H&N (n=10), lung (n=6), CNS (n=4), Endocrine (n=4) & HPB (n=2). There was no difference with type of transplant i.e. auto or allograft. Autograft and allograft groups were analysed separately. In univariate analysis, allograft group showed higher cumulative incidence of SSC with use of PBSC (p<0.0001), campath/ATG (p=0.0002), donor other than sibling (P=0.0004), RIC (p<0.0001), non-TBI conditioning (p=0.007), older age at transplant (0.008), development of agvhd or cgvhd (p=0.023) and transplant year after 2000 (p=0.01). In multivariate analysis age above 50 (RR: 1.8, 95%CI: 1.2-1.8, p=0.046) and RIC (RR: 4.4, 95% CI: 1.2-8.3, p=0.03) were independently associated with higher risk of SSC. In autograft group, there were no independent risk factors in univariate or multivariate analysis. As compared to general population incidence was higher for all cancers (SIR=7.4) and also cancers at every primary site. Risk was highest for breast (SIR=14.3), Head/neck (SIR=25.6), brain (SIR=17.4) and colon (SIR=6.2). Overall survival is significantly shorter in patients who develop SSC (median: 12 yr vs. not reached, p<0.0001). The median time to develop SSC from the date of HSCT has significantly shortened over last three decades (years 1982-1990: 21yr, 1991-2000: 11.1 yr, 2001-2010: 6.34 yr, 2011-2016: 2.2 yr; p=0.0001) Conclusion: This single centre analysis confirms that the risk of developing SSC increases with advancing age, use of RIC allograft, longer follow-up and leads to inferior survival. Since the year 2000, SSC are developing early after transplant and it needs to be evaluated if this is a trend seen at other centers and if so, is it related to increasing use of RIC, increasing number of elderly patients, severity of immune-suppression or higher incidence of GVHD. Disclosures Somervaille: Novartis: Consultancy, Honoraria; Imago Biosciences: Consultancy. Bloor:Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; GSK: Consultancy, Speakers Bureau; Gilead: Honoraria; Abbvie: Membership on an entity's Board of Directors or advisory committees.

Download Full-text

A JAK2V617F Variant Allele Frequency Greater Than 50% Identifies Patients with Polycythemia Vera at High Risk for Venous Thrombosis

Blood ◽

10.1182/blood-2021-147869 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 237-237

Author(s):

Giuseppe Gaetano Loscocco ◽

Paola Guglielmelli ◽

Carmela Mannarelli ◽

Elena Rossi ◽

Francesco Mannelli ◽

...

Keyword(s):

Risk Factors ◽

High Risk ◽

Venous Thrombosis ◽

Board Of Directors ◽

Univariate Analysis ◽

Multivariable Analysis ◽

Advisory Committees ◽

Free Survival ◽

History Of ◽

Independent Risk Factors

Abstract Background: Thrombosis is the main cause of morbidity and mortality in pts with Polycythemia Vera (PV). Current risk stratification is based on 2 variables: age >60y and history of thrombosis. Additional thrombotic risk factors in PV are generic cardiovascular risk factors and leukocytosis. JAK2V617F (JAK2VF) variant allele frequency (VAF) at diagnosis is highly heterogeneous. A VAF>75% was associated with higher rate of all thrombosis after diagnosis (Vannucchi AM et al, Leukemia 2007), and a VAF ≥ 60% correlated with increased rate of venous thrombosis (VT) in high-risk pts (Guglielmelli P et al, ASH 2018); however, predictive role of JAK2VF VAF is still debated. Aim: To evaluate the impact of JAK2VF VAF on rate of arterial and venous thrombosis in PV pts. Patients and methods: A cohort of 576 strictly 2016 WHO-defined PV pts followed at Univ. of Florence (1981-2020) were included. All pts were annotated for JAK2VF VAF, determined <3 years from diagnosis, and thrombosis at diagnosis and follow-up (FU). Arterial thromboses (AT) included stroke, transient ischemic attacks, retinal artery occlusion, coronary artery disease, and peripheral arterial disease; VT included cerebral venous thrombosis, deep vein thrombosis, pulmonary embolism. Splanchnic vein thromboses (SVT) were excluded. Only first occurring event was considered. Cox proportional hazard regression model was used for univariate and multivariable analysis. Kaplan-Meier (KM) analysis was used for time-to-event assessment, compared by log-rank test. Results: Median age was 61.4 y (range, 16.2-91.8), 58.2% were male; 62% were high-risk based on current classification. Median JAK2VF VAF was 41.5% (range, 0.3-100). A total of 76 (13.2%) pts had an AT event before/at PV diagnosis and 49 (8.5%) pts had an AT during FU. As regards VT, 64 (11.1%) and 39 (6.8%) pts had a VT before/at or after PV diagnosis, respectively. We found that JAK2 VAF as a continue variable was correlated with the risk of VT in FU (p=0.003) but not with AT (p=0.8). ROC analysis to determine the best cut-off level for JAK2 VAF predicting VT had an AUC of 0.72 and a best cut-off value of VAF=50%. VT at FU were significantly enriched in pts with VAF >50%: 14.5% versus 2.4%, p=<0.0001. VT -free survival (VT-FS) by KM was significantly shorter in the presence of a JAK2 VAF >50% (HR 4, CI 1.9-8.6, p<0.0001) (Figure 1A), whereas no difference was found for AT (HR 0.9). In addition to JAK2VF VAF>50%, univariate analysis for VT-FS identified history of VT (HR 2.9; CI 1.4-6.1, p=0.006), leukocytosis ≥11x10 9/L (HR 1.9; CI 1.1-3.4, p=0.02) and palpable splenomegaly (HR 1.9, CI 1-3.6; p=0.04) as risk factors. Multivariable analysis confirmed VAF>50% (HR 3.8, CI 1.8-8.1, p=0.0006) and previous VT (HR 2.4, CI 1.1-5.1; p=0.02) as independent risk factors for future VT. In contrast, univariate analysis for AT-free survival (AT-FS) identified history of AT (HR 2.5; CI 1.3-4.9, p=0.007), diabetes (HR 3.3; CI 1.6-6.5, p=0.0007), hyperlipidemia (HR 3.1; CI 1.7-5.6, p=0.0003) and hypertension (HR 2, CI 1.1-3.8; p=0.03) as predictors of future AT; age >60y showed only a trend (p=0.08). Multivariable analysis for AT-FS identified diabetes (HR 2.4, CI 1.2-5; p=0.02), hyperlipidemia (HR 2.3; CI 1.2-4.3, p=0.01) and previous AT (HR 2.1, CI 1-4.2; p=0.04) as independent predictors of future AT. Validation: Our findings were validated in an independent cohort of 315 2016-WHO defined PV pts from Policlinico Gemelli, Catholic Univ., Rome. After exclusion of 26 pts with SVT, analysis was conducted on 289 pts, 38 of them with thrombosis as heralding event (21 AT and 17 VT). Multivariable analysis confirmed JAK2VF VAF >50% (HR 2.3, CI 1.03-5.0, p=0.04) and previous VT (HR 4.5, CI 2.0-10.1; p=0.0003) as independent risk factors for future VT. In pts with VAF >50%, the rate of VT at FU was 19.9% vs 7.7%, P=0.005. KM curve showed that VT-FS was significantly shorter in pts with a JAK2VF VAF >50% (HR 2.2, CI 1.2-4.2; p=0.01) (Figure 1B). Of note, impact of JAK2 VAF>50% on VT at FU was statistically significant particularly in conventionally low-risk pts, accounting for an HR of 9.4 (CI 1.2-72) and HR 3.6 (CI 1.3-10) in Florence and Rome cohorts, respectively. Conclusions: These data support JAK2VF VAF as a strong independent predictor for future venous thrombosis in PV, in association with history of prior venous events, reinforcing that AT and VT are associated with unique risk factors in pts with PV. Supported by AIRC, Project Mynerva n.21267 Figure 1 Figure 1. Disclosures Vannucchi: BMS: 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; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Connect MM®—the Multiple Myeloma (MM) Disease Registry: Incidence of Second Primary Malignancies (SPM)

Blood ◽

10.1182/blood.v124.21.4749.4749 ◽

2014 ◽

Vol 124 (21) ◽

pp. 4749-4749

Author(s):

Robert M. Rifkin ◽

Rafat Abonour ◽

Jatin J. Shah ◽

Jayesh Mehta ◽

Mohit Narang ◽

...

Keyword(s):

Multivariate Analysis ◽

Board Of Directors ◽

Solid Tumor ◽

Research Funding ◽

Significant Risk ◽

Significant Risk Factor ◽

Prior History ◽

Advisory Committees ◽

History Of

Abstract Background: Increased rates of SPM have been observed as newer cancer treatments have improved survival over the past 2 decades (Fraumeni et al. NCI, 2006). Higher incidence of specific types of hematologic SPM following MM, especially acute myeloid leukemia and myelodysplastic syndromes, have been reported relative to the general population (Dores et al. NCI, 2006; Mailankody et al. Blood, 2011; Ravazi et al. Blood, 2011; Landgren and Mailankody. Leukemia, 2014). A complex interplay between myeloma-, host-, environmental-, and treatment-related factors likely contributes to the increased incidence of SPM in MM. Connect MM is the first and largest prospective, observational, US-based, multicenter registry designed to characterize patients (pts), treatment patterns, and outcomes in newly diagnosed MM (NDMM) pts. Methods: Between September 2009 and November 2012,a total of 1493 NDMM pts were enrolled from 234 US sites within 2 mos of the first diagnosis of MM. Patient data were collected at baseline and each subsequent quarter using a standardized form. Invasive SPM included hematologic and solid tumor second cancers and non-invasive SPM were defined as non-melanoma skin cancers (NMSC). SPM incidence and incidence rate (IR; number of pts with SPM per 100 patient-yrs [PY]) were calculated for all pts and by exposure to specific treatments, including lenalidomide (LEN). PYs were calculated as the observation period from the start of treatment until the detection of the first reported SPM (per category), death, or end of follow-up (pt lost or data cutoff). Results: As of Dec 10, 2013, SPM data were available for 1493 NDMM pts. The median age was 67 yrs (range, 24-94 yrs), 82% of patients were white and 57% were male. Median follow-up was 29.0 mos (0-49 mos). The median OS of treated pts was 44.4 mos. Fifty pts did not receive treatment and had no SPM reported. A total of 74 of the 1443 treated pts (5.1%) reported SPM. Invasive SPM were observed in 51 pts (3.5%): 37 pts (2.6%) with solid tumors and 14 pts (1.0%) with hematologic SPM. Lung/bronchus and myelodysplastic syndromes were the most frequently reported solid tumor and hematologic SPM respectively. NMSC were reported for 26 pts (1.8%). 3 pts had both an invasive SPM and NMSC. The IRs for invasive, hematologic, and solid tumor SPM by LEN exposure are listed in Table 1. By multivariate analysis, the only significant risk factor for the occurrence of SPM was prior history of invasive malignancy. Demographics (including age, ethnicity, race, and gender), International Staging System stage, family history of myeloma or other cancers, history of smoldering MM or monoclonal gammopathy of unknown significance, or prior radiation therapy were not associated with the occurrence of SPM. Conclusions: This analysis shows that there was no increased risk of invasive SPM in this disease-specific registry of pts with NDMM. The risk of SPM for LEN exposed pts was not greater than that for pts not exposed to LEN. In addition, multivariate analysis indicated the only significant risk factor for SPM was prior history of invasive malignancy. As additional agents are approved for the treatment of MM and the length of pt survival increases, longer prospective observation with expanded enrollment on the registry will better characterize the occurrence of SPM in this pt population. Correlations with risk factors including age, pre-existing MDS, risk status, as well as type and duration of therapy will continue to be investigated. Table 1. Incidence rates (per 100 PYa) by treatment exposure IR per 100 PY (95% CI) SPM LEN-Exposed (n = 977) Non–LEN Exposed (n = 466) Invasive 0.85 (0.61-1.19) 1.16 (0.72-1.86) Hematologic 0.17 (0.08-0.36) 0.47 (0.22-0.99) Solid tumor 0.67 (0.46-0.98) 0.68 (0.36-1.26) NMSC 0.50 (0.32-0.77) 0.41 (0.18-0.91) a PY of exposure is the sum of exposure of all pts. Disclosures Rifkin: Celgene Corp: Consultancy; Millenium: Consultancy; Onyx: Consultancy; Takeda: Consultancy; Amgen: Consultancy. Abonour:Celgene Corp: Honoraria, Speakers Bureau. Shah:Celgene Corp: Consultancy, Research Funding. Mehta:Celgene Corp: Consultancy, Speakers Bureau. Narang:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Terebelo:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Gasparetto:Celgene: Consultancy, Honoraria; Millenium: Honoraria. Thomas:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Toomey:Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Hardin:Celgene Corp: Research Funding. Lu:Celgene Corp: Employment. Kenvin:Celgene Corp: Employment. Srinivasan:Celgene Corp: Employment, Equity Ownership. Ricafort:Celgene Corp: Employment. Nagarwala:Celgene Corp: Employment. Durie:Celgene Corp: Expert Board Committee Other; IRC Onyx: Membership on an entity's Board of Directors or advisory committees; DMC Millennium: Membership on an entity's Board of Directors or advisory committees; IRC J&J: Membership on an entity's Board of Directors or advisory committees.

Download Full-text

Could Chronic Gvhd Overcome the Poor Prognosis of Patients with MDS and TP53 Undergoing Allogeneic HSCT?

Blood ◽

10.1182/blood.v126.23.2890.2890 ◽

2015 ◽

Vol 126 (23) ◽

pp. 2890-2890

Author(s):

Juan Carlos Caballero ◽

Mercedes Sánchez-Barba ◽

Mónica Del Rey ◽

Kamila Janusz ◽

Eva Lumbreras ◽

...

Keyword(s):

Multivariate Analysis ◽

Stem Cell ◽

High Risk ◽

Board Of Directors ◽

Cumulative Incidence ◽

Research Funding ◽

Somatic Mutations ◽

Advisory Committees ◽

Poor Outcome

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.

Download Full-text

Intensification Therapy with Bortezomib-Melphalan-Prednisone Versus Autologous Stem Cell Transplantation for Newly Diagnosed Multiple Myeloma: An Intergroup, Multicenter, Phase III Study of the European Myeloma Network (EMN02/HO95 MM Trial)

Blood ◽

10.1182/blood.v128.22.673.673 ◽

2016 ◽

Vol 128 (22) ◽

pp. 673-673 ◽

Cited By ~ 22

Author(s):

Michele Cavo ◽

Meral Beksac ◽

Meletios A Dimopoulos ◽

Lucia Pantani ◽

Francesca Gay ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Advisory Board ◽

Phase Iii ◽

Stage Iii ◽

The Novel ◽

Advisory Committees ◽

Phase Iii Study

Abstract Background The role of upfront autologous stem cell transplantation (ASCT) for younger patients with newly diagnosed (ND) multiple myeloma (MM) has been questioned in the novel agent era. Methods A prospective, multicenter, phase III study was designed to compare (first randomization, R1) (1:1 ratio; stratification according to ISS stage) four 42-day cycles of bortezomib-melphalan-prednisone (VMP) given at the same dosing schedule reported in the VISTA study (NEJM 2008; 359:906-17) vs either a single course or two sequential courses of melphalan at 200 mg/m2 (HDM) followed by single or double ASCT, respectively, as intensification therapy after three to four 21-day cycles of induction therapy with bortezomib-cyclophosphamide-dexamethasone and subsequent collection of peripheral blood stem cells. A second randomization (R2) to consolidation therapy with bortezomib-lenalidomide-dexamethasone vs no consolidation was performed after intensification, to be followed by lenalidomide maintenance until progression or toxicity in both arms. A primary study end point was progression-free survival (PFS) from R1. Results From February 2011 to April 2014, 1510 patients aged ≤65 years with symptomatic NDMM were registered. Of these, 1192 were eligible for R1 and were randomly assigned to receive either VMP (n=497 patients) or HDM (1±2 courses) (n=695 patients). Median age was 58 years in both groups, ISS stage III was 21% in VMP and 20% in HDM, while revised ISS stage III was 9% in both groups. Data on cytogenetic abnormalities, as detected by FISH analysis of CD138+ plasma cells, were available in 71% of patients (n=354) randomized to VMP and in 76% of those (n=529) assigned to HDM. The frequency of conventionally defined high-risk cytogenetic changes, including t(4;14) and/or del(17p) and/or t(14;16), was 25% in both arms. Median follow-up from R1 was 26 (IQR: 19-37) months. On an intention-to-treat basis, median PFS was 44 months in the VMP arm and was not yet reached in the HDM arm; 3-year estimates of PFS were 57.5% and 66%, respectively (HR=0.73; 95% CI=0.59-0.90; P=0.003). PFS benefit with HDM was retained across predefined subgroups, including patients with ISS stage I (HR=0.69; CI=0.48-0.98; P=0.037), revised ISS stage II (HR=0.70; CI=0.54-0.91; P=0.008), revised ISS stage III (HR=0.54; CI=0.30-0.97; P=0.040), standard-risk cytogenetics (HR=0.75, CI=0.56-1.01; P=0.055) and a high-risk cytogenetic profile (HR=0.54; CI=0.37-0.80; P=0.002). The probability of achieving a very good partial response or higher quality response was 85.5% in the HDM group vs 74% in the VMP group (odds ratio=1.90; CI=1.42-2.54; P<0.001). In a multivariate Cox regression analysis stratified by ISS, randomization to HDM (HR=0.67; CI=0.53-0.85; P=0.001) and absence of high-risk cytogenetic abnormalities (0.71; CI=0.53-0.95; P=0.021) were the leading independent predictors of prolonged PFS. Overall survival was not yet mature and no difference between the two treatment groups was evident. Detection of minimal residual disease (MRD) after intensification therapy was performed by multiparameter flow cytometry and PET/CT in a subgroup of patients, and details are provided in a separate abstract (E. Zamagni et al). Overall, MRD negativity favorably affected PFS and OS. Conclusions In comparison with VMP as standard-dose intensification therapy, upfront HDM and ASCT significantly improved PFS and increased the rate of high quality responses. An updated analysis with a longer follow-up will be reported at the meeting. Results of this phase III study, the largest so far reported, support the conclusion that upfront ASCT still continues to be the reference treatment for fit patients with NDMM, even in the novel agent era. Disclosures Cavo: Celgene: Honoraria, Research Funding, Speakers Bureau; Janssen: Honoraria, Research Funding, Speakers Bureau; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria; Takeda: Honoraria. Beksac:Celgene, Janssen Cilag Amgen, Novartis, Takeda: Honoraria, Speakers Bureau. Dimopoulos:Genesis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, 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; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Gay:Celgene: Honoraria; Amgen: Honoraria; BMS: Honoraria; Takeda: Honoraria, Other: Advisory Board; Janssen-Cilag: Other: Advisory Board; Mundipharma: Other: Advisory Board. Hájek:Janssen: Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy; BMS: Honoraria; Celgene: Consultancy, Research Funding. Mellqvist:Mundipharma: Honoraria; Celgene: Honoraria; Novartis: Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Galli:Celgene: Honoraria; Janssen: Honoraria; Sigma-tau: Honoraria. Ludwig:Janssen: Speakers Bureau; BMS: Speakers Bureau; Takeda: Research Funding, Speakers Bureau; Amgen: Research Funding, Speakers Bureau. Zweegman: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; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Palumbo:Janssen Cilag: Honoraria; Takeda: Employment, Honoraria.

Download Full-text

The Prognostic Significance of Acquired 1q22 Gain in Multiple Myeloma

Blood ◽

10.1182/blood-2020-139093 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 9-10

Author(s):

Hadiyah Y. Audil ◽

Joselle Cook ◽

Patricia Greipp ◽

Prashant Kapoor ◽

Linda B Baughn ◽

...

Keyword(s):

Clinical Trials ◽

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Prognostic Significance ◽

Advisory Board ◽

Control Group ◽

First Line ◽

Advisory Committees

Background: Within the heterogeneous genomic landscape of multiple myeloma (MM), clonal evolution including the acquisition of risk-defining mutations and chromosomal abnormalities is a recurrent event and can be detected by fluorescence in situ hybridization (FISH). The effects of acquired abnormalities on clinical outcomes have not been well defined. We previously reported that patients who acquired 17p deletion [del(17p)] during the course of their disease had a significantly reduced overall survival (OS) by 38 months compared to patients who did not acquire del17p (Lakshman et al 2019). Similarly, while de novo gain of the long arm of chromosome 1 (1q22 gain) is a known high-risk aberration associated with significantly shorter OS and progression-free survival (PFS) in MM, the prognostic significance of acquired 1q22 gain has not been described. The primary objective of this study was to analyze factors predictive for acquired 1q22 gain and determine its impact on survival. Methods: We identified MM patients from the Mayo Clinic Dysproteinemia Database who had at least one follow up FISH performed ≥6 months from diagnosis. The clinical characteristics, concomitant cytogenetic abnormalities, first line treatments administered, and OS were compared between patients with acquired 1q22 gain and patients who did not acquire this abnormality. The Mayo Clinic IRB approved this study. Results: A total of 1041 MM patients met the inclusion criteria. Of these, 63 patients (6.1%) had acquired 1q22 gain, defined as being negative for 1q22 gain on initial FISH at diagnosis and having this abnormality detected on subsequent FISH. Median age at diagnosis was 59 years and 56% were male. Median time to acquisition of 1q22 gain was 60 months (range 8-140 months). We identified one control patient for each case who was diagnosed within one year of the case and had a subsequent FISH performed at a similar duration from diagnosis. Patients with acquired 1q22 gain had similar baseline characteristics except for a higher proportion of high-risk (HR) FISH at diagnosis [t(4;14), t(14;16), t(14;20), and del(17p13)] when compared to controls (27% HR FISH versus 6% HR FISH; P<0.01). 1q22 gain was concomitantly present with trisomies in 33 patients (54%), monosomy 13 in 24 patients (39%), t(4;14) in 8 patients (13%), and del(17p13) in 7 patients (12%). All patients received treatment prior to acquisition of 1q22 gain. Of the 63 patients, first line induction therapy consisted of proteasome inhibitor (PI) with steroid in 43%, immunomodulatory drugs (IMiD) with steroid in 40%, and PI + IMiD with steroid in 17% of patients. 54 patients (85%) received upfront stem cell transplant (SCT) (median 5.9 months to SCT), compared to 50 patients (79%) in the control group who received SCT. The median follow up of all 126 patients was 6.8 years. There was a statistically significant reduction in median OS from diagnosis in patients with acquired 1q22 gain compared to the control group (10.8 years versus 13.0 years; P = 0.02; Figure 1). Predictors of acquisition of 1q22 gain were identified using a case-control method. Age ≥70 at diagnosis and presence of HR FISH at baseline appeared to increase the risk of acquiring 1q22 gain. Conclusion: Acquisition of 1q22 gain is a relatively uncommon occurrence, but notably reduced OS by 2.2 years compared to patients who did not acquire 1q22 during the course of their disease (P = 0.02). Older age and the presence of HR FISH at diagnosis increased the risk of acquisition of 1q22 gain. The presence of high-risk translocations at baseline suggests that acquisition of 1q22 gain occurs in the context of more aggressive disease biology. Disclosures Kapoor: Cellectar: Consultancy; Celgene: Honoraria; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; GlaxoSmithKline: Research Funding. Dispenzieri:Alnylam: Research Funding; Pfizer: Research Funding; Celgene: Research Funding; Takeda: Research Funding; Intellia: Research Funding; Janssen: Research Funding. Gertz:Prothena: Consultancy; Celgene: Consultancy; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Advisory Board for Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Advisory Board for Proclara: Membership on an entity's Board of Directors or advisory committees; i3Health: Consultancy; Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding; NCI SPORE MM: Research Funding; Ionis/Akcea: Consultancy; Physicians Education Resource: Consultancy; Medscape: Consultancy, Speakers Bureau; Amgen: Consultancy; Appellis: Consultancy; Annexon: Consultancy; Spectrum: Consultancy, Research Funding; Janssen: Consultancy; Sanofi: Consultancy; Data Safety Monitoring board from Abbvie: Membership on an entity's Board of Directors or advisory committees; Alnylam: Consultancy. Dingli:Apellis: Consultancy; Rigel: Consultancy; Millenium: Consultancy; Bristol Myers Squibb: Research Funding; Karyopharm Therapeutics: Research Funding; Sanofi-Genzyme: Consultancy; Alexion: Consultancy; Janssen: Consultancy. Lin:Novartis: Consultancy; Celgene: Consultancy, Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy; Merck: Research Funding; Takeda: Research Funding; Gamida Cells: Consultancy; Sorrento: Consultancy, Membership on an entity's Board of Directors or advisory committees; Vineti: Consultancy; Legend BioTech: Consultancy; Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding. Kumar:Cellectar: Other; Genecentrix: Consultancy; Dr. Reddy's Laboratories: Honoraria; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; BMS: Consultancy, Research Funding; Sanofi: Research Funding; Karyopharm: Consultancy; MedImmune: Research Funding; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Novartis: Research Funding; Kite Pharma: Consultancy, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Adaptive Biotechnologies: Consultancy; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Merck: Consultancy, Research Funding; Carsgen: Other, Research Funding; Tenebio: Other, Research Funding.

Download Full-text

Myelofibrosis in Real Life: Findings from the French Intergroup of Myeloproliferative Neoplasms (FIM) Registry

Blood ◽

10.1182/blood.v128.22.3128.3128 ◽

2016 ◽

Vol 128 (22) ◽

pp. 3128-3128

Author(s):

Brigitte Dupriez ◽

Sylvie Chevret ◽

Jean-Christophe Ianotto ◽

Francoise Boyer ◽

Pascale Cony-Makhoul ◽

...

Keyword(s):

Overall Survival ◽

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Myeloproliferative Neoplasms ◽

Spleen Size ◽

Biological Parameters ◽

Advisory Committees ◽

History Of

Abstract Background: Myelofibrosis (MF) is the less frequent Philadelphia-negative myeloproliferative neoplasms (MPN). We have included in a nationwide database primary (P), post-polycythemia (PPV) and post-essential thrombocythemia (PET) MF diagnosed in France since 2005. Methods: Inclusion criteria were: diagnostic of MF after 2005; according strictly to WHO (bone marrow biopsy mandatory); informed consent. The registry was launched in Oct. 2013, and 26 hematology centers included patients (pts). Summary statistics were reported, namely median [Interquartile range, IQR] or percentage. Baseline characteristics were compared across IPSS groups using chi-square test or Mann and Whitney test. Kaplan-Meier survival curves were plotted and compared by the log-rank test. Results: At time of analysis (June 2016) a total of 527 pts were included in the registry, complete baseline data were available in 499 (95%), and follow-up (FU) data in 433 (87%). Median [IQR] age and M/F sex ratio were 71 [63-78] years and 315/184 (1.7), respectively (resp). 301 (60%) pts had PMF, 182 (36%) had secondary MF (including 64 PPVMF and 118 PETMF) and 16 had pre-fibrotic MF. Five percent of pts had a familial history of hematologic malignancy, and 22% a history of thrombosis or hemorrhage. Splenomegaly was present in 386 (77%) with a median [IQR] spleen size of 4 cm [1-8] below costal margin, and was symptomatic in 11% of pts. Constitutional symptoms were present in 107 (21%) (weight loss in 56, night sweats in 61, fever in 14), and ECOG score was 0, 1, 2, and 3 in 53%, 36%, 11% and 0.3% of pts, resp. Median [IQR] Hemoglobin, WBC and platelet counts were 109 g/L [94-122], 9.3 G/L [5.7-16.0] and 257 G/L [138-430], resp. Circulating blast cells were present in 41%, LDH was above normal value in 95% of pts, median EPO level was 54 [11 - 57] U/L. Grade of fibrosis (WHO) was 1, 2, and 3 in 2%, 66% and 32% of pts, resp. Karyotype was done in 321 pts, normal in 173 (54%), abnormal with favorable prognostic value in 89 (30%) and unfavorable in 30 (10%) (29 failures). A total of 461 (92%) pts had molecular testing: 60% were JAK2V617F positive, 4% had MPL and 7% had CALR mutations, and 99 (28%) over the 352 pts with triple testing were triple negative. IPSS risk categories were low, int-1, int-2 and high in 68 (14%), 168 (34%), 158 (32%), and 105 (21%) pts, resp. In addition to constitutional symptoms, there was a significant increase in the prevalence of clinical signs across IPSS categories (from low to high risk): symptomatic spleen (p=0.016) -though no difference in spleen size was found (p=0.18)-, early satiety (p=0.013), ECOG score (p= 0.0001), bone pain (p=0.002). Moreover, among biological parameters, there was an increase across IPSS groups in WBC (p=0.029), LDH (p=0.0007), ferritin (p=0.003), circulating CD34+ cells (p=0.020), EPO level (p=0.035). In contrast, a decrease was seen for hemoglobin and platelets (p=0.0001 for both). Lastly, frequency of grade 3 fibrosis increased with IPSS (p=0.043), while no evidence of difference was found regarding abnormal karyotype and mutational pattern. Median FU was 33 months [9-63 months]. Among those 433 pts with FU data, median FU was 38 months [19-68], and 124 (29 %) pts had died at the time of analysis, including 13%, 17%, 31%, and 40% of pts from the Low, Int-1, Int-2, and High risk groups, resp (p= 0.0001, figure 1). In the 450 pts with treatment data, treatments received during FU included cytoreductive drug (41%), Jak-inhibitors (35%), Interferon alpha (18%), IMIDs (4%). Splenectomy was performed in only 14 (3%) pts. Forty percent of pts received packed red blood cells, and 12% platelets transfusions. 49 (11%) patients participated in a clinical trial, and 27 (6%) were allografted. Conclusion: This is the first analysis of the French MF observatory after inclusion of more than 500 pts diagnosed and treated during the past 10 years. Complete baseline data and follow-up information available for the majority of pts should allow for new studies of outcomes and influence of clinical and biological parameters, as well as reassessment of prognostic models in the era of new targeted therapies. Figure 1 Comparison of overall survival according to IPPS Figure 1. Comparison of overall survival according to IPPS Figure 2 Figure 2. Disclosures Etienne: Pfizer: Speakers Bureau; BMS: Speakers Bureau; ARIAD: Speakers Bureau; novartis: Consultancy, Speakers Bureau. Tavitian:Novartis: Membership on an entity's Board of Directors or advisory committees. Ugo:Novartis: Membership on an entity's Board of Directors or advisory committees. Kiladjian:Novartis: Honoraria, Research Funding; AOP Orphan: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Download Full-text

Phase II Trial of the Combination of Ixazomib, Lenalidomide, and Dexamethasone in High-Risk Smoldering Multiple Myeloma

Blood ◽

10.1182/blood-2019-128519 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 580-580 ◽

Cited By ~ 4

Author(s):

Mark Bustoros, MD ◽

Omar Nadeem ◽

Adam S Sperling ◽

Giada Bianchi ◽

Lily Ardente ◽

...

Keyword(s):

Multiple Myeloma ◽

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Response Rate ◽

Advisory Board ◽

Induction Phase ◽

Advisory Committees ◽

Smoldering Multiple Myeloma

Background.This study aimed to determine the progression-free survival and response rate using early therapeutic intervention in patients with high-risk smoldering multiple myeloma (SMM) using the combination of ixazomib, lenalidomide, and dexamethasone. Methods.Patients enrolled on study met eligibility for high-risk SMM based on the newly defined criteria proposed by Rajkumar et al. (Blood 2014). The treatment plan was designed to be administered on an outpatient basis where patients receive 9 cycles of induction therapy of ixazomib (4mg) at days 1, 8, and 15, in combination with lenalidomide (25mg) at days 1-21 and dexamethasone at days 1, 8, 15, and 22. The induction phase was followed by ixazomib (4mg) and lenalidomide (15mg) maintenance for another 15 cycles. A treatment cycle was defined as 28 consecutive days for a total of 24 months period. Bone marrow samples of all patients were obtained before starting therapy for baseline assessment for minimal residual disease (MRD) testing, whole-exome sequencing (WES), and RNA sequencing of plasma and bone marrow microenvironment cells. Moreover, blood samples were obtained at screening and before each cycle for isolating cell-free DNA (cfDNA) and circulating tumor cells (CTCs). Results.In total, 53 of the planned 62 patients have been enrolled in this study from February 2017 to May 2019. The median age of the patients enrolled was 61 years (range, 41 to 84) with 22 male (41.5%). The analysis was conducted on patients who have completed at least 1 cycle of therapy (n=45). The median follow-up for the trial is 14.4 months (range: 2- 27.6). Interphase fluorescence in situ hybridization (iFISH) was successful in 37 patients (82.2%). High-risk cytogenetics (defined as the presence of t(4;14), 17p deletion, and 1q gain) were found in 20 patients (54%). The median number of cycles completed was 14 cycles (range: 1-24). According to the study's inclusion criteria, baseline markers showed that 15, 14, and 13 patients had 3, 4, and 5 high-risk features, respectively. Moreover, 24 patients (53.3%) met the criteria of high-risk SMM, according to the Mayo 2018 model. The most common grade 3 adverse events were hypertension (6.3%), hypophosphatemia (4.2%), and rash (4.2%). Grade 4 thrombocytopenia and neutropenia were each reported in 4.4% of patients, and hyperglycemia was reported in 2.2%. Stem cells were collected in all eligible patients by the end of the induction phase. As of the abstract date, the overall response rate (partial response or better) in participants who completed at least 1 cycle of treatment was 91.1% (41/45), with 14 Complete Responses (CR, 31.1%), 9 very good partial responses (VGPR, 20%), 18 partial responses (40%), and 4 minimal Responses (MR, 10%). ORR in patients who completed the induction phase (≥9 cycles) was 97% (n= 32/33), with 14(42.4%) and 9 (27.2%) having CR and VGPR, respectively. All patients who had a CR have also achieved a stringent CR. Six patients have completed the treatment protocol and are currently on follow-up. As of July 2019, none of the patients have progressed to overt MM. MRD testing by next-generation sequencing is ongoing for patients who achieved CR or VGPR and will be presented at the meeting. Conclusion.The combination of ixazomib, lenalidomide, and dexamethasone is an effective and well-tolerated intervention in high-risk smoldering myeloma with 91% ORR and 54.7% CR and VGPR to date. The high response rate, convenient schedule and manageable toxicity build on prior studies which have shown efficacy of lenalidomide and dexamethasone in high risk smoldering myeloma. Longer follow-up for disease outcome is ongoing. Disclosures Bustoros, MD: Takeda: Honoraria. Nadeem:Celgene: Consultancy; Janssen: Consultancy; Amgen: Consultancy; Sanofi: Consultancy. Prescott:Janssen: Equity Ownership. Munshi:Takeda: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Adaptive: Consultancy; Abbvie: Consultancy; Abbvie: Consultancy; Adaptive: Consultancy; Amgen: Consultancy; Celgene: Consultancy; Takeda: Consultancy; Oncopep: Consultancy; Oncopep: Consultancy; Amgen: Consultancy; Janssen: Consultancy. Anderson:OncoPep: Other: Scientific founder ; C4 Therapeutics: Other: Scientific founder ; Gilead Sciences: Other: Advisory Board; Janssen: Other: Advisory Board; Sanofi-Aventis: Other: Advisory Board. Richardson:Oncopeptides: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees. Ghobrial:Amgen: Consultancy; Celgene: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Janssen: Consultancy; Takeda: Consultancy. OffLabel Disclosure: Ixazomib, Lenalidomide and Dexamethasone is an investigational combination in high-risk smoldering multiple myeloma and has not been approved by the US Food and Drug Administration or any other regulatory agency worldwide for the use under investigation.

Download Full-text