scholarly journals The Impact of Fractures on Survival in Multiple Myeloma: Results from a Population-Based Study

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4490-4490
Author(s):  
Sigrun Thorsteinsdottir ◽  
Ingigerdur S Sverrisdottir ◽  
Gauti Gislason ◽  
Ola Landgren ◽  
Ingemar Turesson ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Cox Regression ◽  
Population Based ◽  
Advisory Committees ◽  
Population Based Study ◽  
Risk Of Death ◽  
Increased Risk ◽  
The Impact

Abstract Introduction Multiple myeloma (MM) causes lytic bone lesions, osteopenia, and fractures, which increase the morbidity of MM patients. Results from small previous studies have indicated that fractures in MM have a negative effect on survival. Aims The aim of the study was to evaluate the impact of fractures on survival in MM patients diagnosed in Sweden in the years 1990-2013. Furthermore, to analyze the effect of bone fractures at MM diagnosis on subsequent survival. Methods Patients diagnosed with MM in 1990-2013 were identified from the Swedish Cancer Registry. Information on date of birth, diagnosis, and death were collected from the Registry of Total Population. Information on all fractures were retrieved from the Swedish Patient Registry. Cox regression model was used with fractures as time-dependent variables. The effect of fractures on survival was assessed for any fracture or a subtype of fracture (a specific bone fracture or ICD-coded pathologic fracture). Either first fracture or the first subtype of fracture was used in the analysis. The effect of a fracture at MM diagnosis (within 30 days before or 30 days after MM diagnosis) on survival was also estimated using a Cox regression model. All models were adjusted for age, sex, time of diagnosis, and previous fractures. Results A total of 14,008 patients were diagnosed with MM in the study period. A total of 4,141 (29.6%) patients developed a fracture including fractures that occurred within a year before MM diagnosis and thereafter. Hereof 2,893 (20.7%) patients developed a fracture after MM diagnosis. The risk of death was significantly increased for patients that developed a fracture after the time of MM diagnosis with a hazard ratio (HR) of 2.00 (95% confidence interval (CI) 1.91-2.10) for all fractures combined. The risk of death was significantly increased for patients that developed all subtypes of fractures after MM diagnosis except ankle fractures. The risk of death was significantly increased for patients that developed pathologic fractures (HR=2.17; 95% CI 2.03-2.32), vertebral fractures (HR=1.73; 95% CI 1.61-1.87), hip fractures (HR=1.99; 95% CI 1.82-2.18), femoral fractures (HR=2.62; 95% CI 2.32-2.98), humerus fractures (HR=2.57; 95% CI 2.32-2.86), forearm fractures (HR=1.24; 95% CI 1.05-1.46), and rib fractures (HR=1.52; 95% CI 1.31-1.77), but not for ankle fractures (HR 1.07; 95% CI 0.79-1.44). A total of 942 (6.7%) of all MM patients were diagnosed with a fracture within 30 days before or 30 days after MM diagnosis. The patients with a fracture at diagnosis were at a significantly increased risk of death compared to those without (HR 1.31; 95% CI 1.21-1.41; Figure) Conclusions Our large population-based study, including over 14,000 patients diagnosed with MM in Sweden in the years 1990-2013, showed that MM patients that developed a fracture after the time of diagnosis were at twofold increased risk of dying compared to MM patients without a fracture. Furthermore, MM patients with a fracture at diagnosis had a 30% higher risk of dying compared to patients without a fracture. Our results indicate that fractures in MM reflect a more advanced disease at diagnosis and stress the importance of managing MM bone disease in all MM patients. Figure. Figure. Disclosures Landgren: 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; Karyopharm: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy; Celgene: Consultancy, Research Funding; Amgen: Consultancy, Research Funding.

Peripheral Neuropathy in MGUS and Progression to Amyloid Light-Chain Amyloidosis: A Population-Based Study Including 15,351 MGUS Cases

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5444-5444
Author(s):  
Sæmundur Rögnvaldsson ◽  
Ingemar Turesson ◽  
Magnus Björkholm ◽  
Ola Landgren ◽  
Sigurður Yngvi Kristinsson
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Large Population ◽  
Diagnostic Delay ◽  
Population Based ◽  
Lymphoproliferative Disorders ◽  
First Year ◽  
Advisory Committees ◽  
Population Based Study ◽  
Increased Risk

Introduction Peripheral neuropathy (PN) is a common disorder that can be caused by amyloid light-chain amyloidosis (AL). AL is a rare disorder caused by the deposition of amyloid fibers, originating from malignant plasma cells. Amyloid deposition in peripheral nerves causes PN and is present in 35% of patients with newly diagnosed AL. Diagnosis of AL can be difficult, leading to under-recognition, diagnostic delay, and delayed treatment. Virtually all instances of AL are preceded by monoclonal gammopathy of undetermined significance (MGUS). MGUS is relatively common with a reported prevalence of 4.2% in the general Caucasian population over the age of 50 years. Although MGUS is usually considered asymptomatic, a significant proportion of affected individuals develop PN. However, we are not aware of any studies assessing how PN affects risk of MGUS progression to AL. We were therefore motivated to conduct a large population-based study including 15,351 Swedish individuals with MGUS diagnosed 1986-2013. Methods Participants diagnosed with MGUS between 1986-2013 were recruited from a registry of a nationwide network of hematology- and oncology centers and the Swedish Patient Registry. We then cross-linked data on recorded diagnoses of AL and PN from the Swedish Patient Registry, diagnoses of lymphoproliferative disorders form the Swedish Cancer Registry, and dates of death from the Cause of Death Registry to our study cohort. Individuals with a previous history of other lymphoproliferative disorders were excluded from the study. A multi-state survival model was created. At inclusion, participants started providing person time into the PN or the non-PN states depending on whether they had a previous diagnosis of PN. Those with MGUS who developed PN after inclusion were included into the PN state at the time of PN diagnosis and provided person time in the PN state after that. We then created a Cox proportional hazard regression model with AL as the endpoint. Participants were censored at diagnosis of other lymphoproliferative disorders. We adjusted for sex, age, and year of MGUS diagnosis. Results We included 15,351 participants with MGUS. Of those, 996 participants provided person-time with PN (6.5%). About half of those had PN at MGUS diagnosis (55%). A total of 174 cases of AL were recorded, with AL being more common among those who had PN (2.1% vs 1.0% p=0.002). Those who had PN had a 2.3-fold increased risk of AL as compared to those who did not have PN (hazard ratio (HR): 2.3; 95% confidence interval (95% CI): 1.5-3.7; p<0.001). The results were similar for those who had PN at MGUS diagnosis and those who did not. More than half of AL cases (53%) were diagnosed within one year after MGUS diagnosis. The rate was even higher among those with PN, with 82% of AL cases among those who presented with PN being diagnosed within one year after MGUS diagnosis. In the first year after inclusion, the incidence of AL was 15.2 and 6.1 per 1000 person-years for participants with and without PN respectively (HR: 1.8; 95% CI:1.0-3.4; p=0.04). Participants with PN continued to have an increased risk of progression to AL after the first year with an incidence of AL of 2.6 per 1000 person-years as compared to 1.1 per 1000 person-years among participants who did not have PN (HR:2.4; 95% CI: 1.1-5.0; p=0.02) (Figure). Discussion In this large population-based study, including 15,351 individuals with MGUS, we found that individuals with MGUS who develop PN have an increased risk of progression to AL. In fact, individuals with MGUS who have PN at MGUS diagnosis might already have AL. This risk of AL was highest during the first year after MGUS diagnosis with participants with PN having a higher risk than those who did not have PN. PN continued to be associated with a higher risk of MGUS progression to AL throughout the study period. This is the largest study that we are aware of assessing the association of PN and MGUS progression to AL. Since this is a registry-based study based on recorded diagnoses, some clinical data, including MGUS isotype, is not available. These findings suggest that increased awareness of PN as a feature of MGUS might decrease diagnostic delay and improve outcomes for patients with AL. Figure Disclosures Landgren: Takeda: Honoraria, 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; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Theradex: Other: IDMC; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Other: IDMC; Abbvie: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

scholarly journals The Impact of Prior Malignancies on Second Malignancies and Survival in MM Patients: A Population-Based Study

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3246-3246
Author(s):  
Gudbjorg Jonsdottir ◽  
Sigrún H. Lund ◽  
Magnus Björkholm ◽  
Ingemar Turesson ◽  
Anders Wahlin ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Hematological Malignancies ◽  
Cox Regression ◽  
Population Based ◽  
Second Malignancies ◽  
Advisory Committees ◽  
Population Based Study ◽  
Risk Of Death ◽  
Increased Risk ◽  
Prior Malignancy

Abstract Background Awareness of second malignancies in patients with multiple myeloma (MM) has been increasing during recent years. We have previously shown that second malignancies are associated with a decreased life expectancy in MM patients. Information regarding prior and second malignancies in MM is limited as these patients are often excluded from clinical trials and previously published results from other groups have been conflicting. In the present study we aimed to evaluate two hypotheses. Firstly we hypothesize that prior malignancy is a proxy for genetic instability that could be a risk factor for subsequent malignancy development in MM patients. There is limited data regarding this association in the literature and in two recent registry studies the results were inconclusive. Secondly, to further assess the clinical implication of prior malignancies in MM patients we assessed survival in these patients compared to MM patients without a history of prior malignancy. Patients and Methods All patients diagnosed with MM from January 1, 1973 to December 31, 2013 were identified from the Swedish Cancer Register. All prior and subsequent malignant diagnoses were identified through cross-linkage within the registry. A Cox regression model was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) where prior malignancy was compared in MM patients who developed a subsequent malignancy and MM patients who did not. In another Cox regression model, survival was compared in MM patients with and without a prior malignancy. The same method was used to estimate if there was a dose-dependent relationship, i.e. if an increasing number of prior malignancies was associated with a poorer outcome. Results A total of 22,359 patients were diagnosed with MM during the study period. Of these, 2,620 (12%) patients had one or more prior malignancy diagnosis at the time of MM diagnosis and 1,243 (6%) patients developed subsequent malignancies. Among the MM patients who developed a subsequent malignancy, 148 (12%) had a prior malignancy diagnosis. Hematological malignancies were 7% of prior malignancies and 17% of subsequent malignancies. MM patients with a prior malignancy diagnosis did not have increased risk of developing a subsequent malignancy compared to MM patients without a prior malignancy (HR 1.0, 95% CI 0.9-1.2). MM patients with a prior malignancy diagnosis had a statistically significant 10% increased risk of death (HR=1.1, 95% CI 1.1-1.2, p<0.001) compared to MM patients without a prior malignancy diagnosis. MM patients with 2 or more prior malignancy diagnoses had a 20% increased risk of death (HR=1.2, 95% CI 1.1-1.4, p=0.002) compared to MM patients without a prior malignancy diagnosis (Figure). Summary and Conclusions In our large population-based study we found that prior malignancy negatively impacts survival in MM patients and that more than one prior malignancy decreases survival even further. Interestingly, a prior malignancy did not increase the risk of developing a subsequent malignancy in MM patients. We confirmed prior reports of solid tumors being more common than hematological malignancies, both prior and subsequent to the MM diagnosis. A prior malignancy was associated with a reduced survival in MM patients without being a risk factor for subsequent malignancies. The underlying explanation for this is probably multifactorial, and could include reduced dose intensity of chemotherapy, complications from treatment, or that MM that develops after another malignancy might be biologically different. Given the increase of cancer survivors in general, our findings are of importance both for the individual patients and their families as well as for the treating physician. Figure Survival in MM patients without a prior cancer diagnosis compared to MM patients with one and two or more prior cancer diagnoses Figure. Survival in MM patients without a prior cancer diagnosis compared to MM patients with one and two or more prior cancer diagnoses Disclosures Landgren: Takeda: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees; Medscape: Employment, Other: Chairman for Medscape Myeloma Program; Amgen: Speakers Bureau; Celgene: Speakers Bureau; BMS: Speakers Bureau.

Impact of Renal Impairment (RI) on Outcomes after Treatment (Tx) with Lenalidomide and Low-Dose Dexamethasone (Rd) in Newly Diagnosed Multiple Myeloma (NDMM) Patients (Pts): First Trial Results

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2112-2112
Author(s):  
Meletios A. Dimopoulos ◽  
Matthew C Cheung ◽  
Murielle Roussel ◽  
Ting Liu ◽  
Barbara Gamberi ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Renal Function ◽  
Board Of Directors ◽  
Normal Renal Function ◽  
Research Funding ◽  
Failure Time ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Risk Of Death ◽  
The Impact

Abstract Background: Approximately 20–40% of pts with NDMM present with RI, which is associated with a negative impact on survival (Rajkumar, 2005). In the pivotal phase 3 FIRST trial (median follow-up 37 months [mos]), continuous Rd improved progression-free survival (PFS) vs. melphalan-prednisone-thalidomide (MPT) in elderly NDMM pts by 28% (25.5 vs. 20.7 mos; HR = 0.72; P < 0.01) (Facon, Blood 2013). Although 121 pts receiving continuous Rd are still on Tx, the interim overall survival (OS) analysis showed a 22% reduction in the risk of death in favor of continuous Rd vs. MPT (HR = 0.78; P = 0.02). The present analysis was conducted to determine the impact of RI on PFS, OS, and time to 2nd antimyeloma Tx (AMT) as clinical study outcomes. Methods: Pts were randomized to 3 Tx arms: continuous Rd until progression (n = 535); Rd for 18 cycles (72 weeks) (Rd18; n = 541); or MPT for 12 cycles (72 weeks) (n = 547). Enrolled NDMM pts were categorized according to their renal function: 24% had normal renal function (creatinine clearance [CrCl] ≥ 80 mL/min), 44% presented with mild RI (≥ 50 and < 80 mL/min), 23% had moderate RI (≥ 30 and < 50 mL/min), and 9% had severe RI (< 30 mL/min). Pts requiring dialysis were excluded. Lenalidomide starting dose was 25 mg QD for pts with normal renal function or mild RI, 10 mg QD for moderate RI, and 15 mg QOD for severe RI. Melphalan dose was reduced by 50% in pts with moderate or severe RI. The primary endpoint was PFS (continuous Rd vs. MPT); secondary endpoints were OS, overall response rate, time to response, duration of response, time to Tx failure, time to 2nd AMT, health-related quality of life, safety, and improvement in renal function from baseline. Improvement in RI was defined as shifts from baseline to most extreme post-baseline value of the calculated CrCl as a measure of renal function during the active Tx (N = 1484). Results: A PFS benefit favored continuous Rd vs. MPT irrespective of the degree of renal function (Table 1): there was a benefit in pts with normal renal function (HR = 0.72 (0.51–1.02); P = 0.06), and better in pts with mild RI (HR = 0.79 (0.62–1.00); P = 0.05) and moderate RI (HR = 0.62 (0.45–0.85); P < 0.01). A PFS benefit was also seen with continuous Rd vs. Rd18 (a secondary comparison) in pts with mild RI and moderate RI (P < 0.01 for both). An interim OS benefit with continuous Rd vs. MPT was observed in most renal subgroups. Similar results were observed between Rd18 and MPT in terms of PFS or interim OS in any of the renal subgroups. Continuous Rd, compared with Rd18 or MPT, extended time to 2nd AMT in most renal groups except severe RI (CrCl < 30mL/min) (Table 2). Improvement in RI was observed more frequently in pts treated with continuous Rd than those with Rd18 or MPT: improvement of mild RI, 48%, 43%, and 48%, respectively; of moderate RI, 67% 61%, and 62%; and of severe RI, 64%, 59%, and 56%. Overall, < 5% of pts in any Tx group experienced a worsening in renal function status during Tx (continuous Rd 2.2%; Rd18 2.8%; MPT 2.7%). The most common grade 3–4 adverse events (AEs) for these Txs were anemia, neutropenia, thrombocytopenia, deep-vein thrombosis/pulmonary embolism (DVT/PE), and peripheral sensory neuropathy (Table 3). Tx discontinuation due to AEs increased in pts with moderate and severe RI, regardless of the type of Tx (Table 3). Conclusions: PFS, OS (at interim analysis), and time to 2nd AMT outcomes generally improved continuous Rd vs. Rd18 or MPT in transplant-ineligible NDMM pts with normal renal function, and in those with mild or moderate RI. The small number of pts in the severe RI group precluded a meaningful conclusion. Continuous Rd was generally well tolerated and renal function improved in the majority of pts during Tx with continuous Rd vs. Rd18 or MPT. Disclosures Dimopoulos: Celgene Corporation: Consultancy, Honoraria. Off Label Use: Lenalidomide used in newly diagnosed multiple myeloma patients. Roussel:Celgene: Consultancy, Lecture fees Other, Research Funding. van der Jagt:Celgene Corporation: Research Funding. Jaccard:Celgene Corporation: Honoraria, Research Funding. Tosikyan:Celgene: Consultancy. Karlin:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sandoz: Honoraria, Membership on an entity's Board of Directors or advisory committees. Bensinger:Celgene Corporation: Consultancy, Research Funding. Schots:Celgene: Research Funding. Chen:Celgene Corporation: Employment. Marek:Celgene Corporation: Employment, Equity Ownership. Ervin-Haynes:Celgene Corporation: Employment. Facon:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

scholarly journals Peripheral Neuropathy Is Associated with an Increased Risk of Fractures in Individuals with Monoclonal Gammopathy of Undetermined Significance: A Population-Based Study Including 15,351 MGUS Cases

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1914-1914
Author(s):  
Sæmundur Rögnvaldsson ◽  
Sigrun Thorsteinsdottir ◽  
Ingemar Turesson ◽  
Magnus Björkholm ◽  
Ola Landgren ◽  
...  
Keyword(s):  
Peripheral Neuropathy ◽  
Board Of Directors ◽  
Monoclonal Gammopathy ◽  
Research Funding ◽  
Large Population ◽  
Population Based ◽  
Advisory Committees ◽  
Population Based Study ◽  
Increased Risk ◽  
Swedish Patient

Abstract Introduction: Monoclonal gammopathy of undetermined significane (MGUS) is the precursor of multiple myeloma (MM) and related disorders. MGUS is relatively common in the general population with a reported prevalence of 4.2% over the age of 50. Although MGUS is usually considered asymptomatic, affected individuals have been shown to have an increased risk of fractures. This is believed to be related to an early form of MM bone disease characterized by abnormal bone architecture. Peripheral neuropathy (PN) has also been shown to be associated with MGUS. Currently, the prevalence of PN in MGUS is unclear, with reports ranging from 3 to 70%. PN has been associated with an increased risk of falls and fractures, especially in diabetic neuropathy, the most common type of PN. However, we are not aware of any studies assessing how PN affects fracture risk in individuals with MGUS. Therefore, we were motivated to create a large population-based study to assess how PN affects the risk of fractures in MGUS. Methods: We included all MGUS cases diagnosed in Sweden between 1986 and 2013 and recorded in a registry of a nationwide network of hematology- and oncology centers or in the Swedish patient registry. We then cross-linked data from the Swedish Patient Registry, Cancer Registry, and Cause of Death Registry to our study cohort. Individuals with a previous history of other lymphoproliferative disorders were excluded from the study. We created a multi-state survival model. At inclusion participants started providing person time into the PN or the non PN states depending on whether they had a previous diagnosis of PN or not. Those with MGUS who developed PN after inclusion were included into the PN state at the time of PN diagnosis and provided person time into the PN state after that. We then created a Cox proportional hazard regression model with the endpoint defined as the first fracture of any type after inclusion with participants being censored at diagnosis of MM or related disorders. We adjusted for sex, age, year of MGUS diagnosis and previous fracture in the 2 years before inclusion. Results At total of 15,351 individuals with MGUS were enrolled and followed for a median of 3.2 years, providing a total of 76,141 years of person time. Of those, 951 individuals provided a total of 3,497 years of person time with PN, being followed for a median of 2.7 years. A total of 3,121 fractures were observed, 2,970 among those without PN and 151 among those with PN. Results from an adjusted Cox regression model showed that those who had PN had a higher risk of having a first fracture than did those who did not have PN (hazard ratio (HR): 1.21, 95% confidence interval (95%CI): 1.02-1.42, p=0.027). Discussion In this large population-based study including 15,351 individuals with MGUS we found that individuals with MGUS who also have PN have an increased risk of fractures as compared to those who only have MGUS. In a previous study, we have already showed that PN does not affect the risk of MGUS progression. Therefore, it is unlikely that these findings are attributed to fractures caused by active undiagnosed MM. These findings suggest that the increased fracture risk observed in individuals with MGUS can at least partly be attributed to concomitant PN. We are currently validating these results within the iStopMM trial, a large prospective MGUS screening study. Disclosures Landgren: Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Research Funding; Pfizer: Consultancy; Karyopharm: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees.

scholarly journals The Impact of Trial Eligibility Criteria on Outcomes in a Nationwide Cohort of Newly Diagnosed DLBCL Patients Treated with R-CHOP

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 53-53
Author(s):  
Freja Tang Severinsen ◽  
Laura Mors Haunstrup ◽  
Rasmus Kuhr Jensen ◽  
Matthew J. Maurer ◽  
Arushi Khurana ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Disease Risk ◽  
Population Based ◽  
Exclusion Criteria ◽  
Eligibility Criteria ◽  
Advisory Committees ◽  
Population Based Study ◽  
Substantial Impact ◽  
The Impact

Abstract Background: Generalizability of results from clinical trials with narrow in-/exclusion criteria are a concern as significant deviations in efficacy or toxicity may occur when treatments are used in populations of elderly and more comorbid patients. The cost-effectiveness of novel therapies may also be less favorable if real-world treatment effects are inferior to clinical trial results. In diffuse large B-cell lymphoma (DLBCL), a recent US study showed that baseline organ function-based eligibility criteria had substantial impact on survival with ineligible patients being at higher risk of dying from progressive lymphoma (1). Aims: The present study explored the impact of commonly used in-/exclusion criteria in key completed and ongoing first line DLBCL trials on survival in a Danish population-based study of patients with de novo DLBCL. Patients and methods: DLBCL patients enrolled in the Danish Lymphoma Registry (LYFO) and treated with R-CHOP in the period 2008-19 were screened for completeness of data to match trial eligibility criteria. The key organ/hematology eligibility criteria of completed or ongoing all-comers DLBCL studies (REMoDL-B, Goya, Polarix and Hovon84) were collected (bilirubin, ALAT, creatinine, eGFR, leucocytes, neutrophils, thrombocytes and ECOG). First, high-level trial matching on disease risk group (Ann Arbor, bulky disease, international prognostic index (IPI)) and age-groups were performed so that patients assessed for trial eligibility had a relevant risk profile. Subsequently, patients were divided into eligible or ineligible based on selected in/exclusion criteria. For each trial, overall survival (OS) from treatment start were compared for eligible and ineligible patients using inverse probability of treatment weighted Kaplan-Meier and log-rank tests. Crude OS and OS adjusted for residual imbalances in IPI and age were estimated. When possible, the OS curves from standard arms of the original trials were superimposed on OS plots. For each trial, the Shapley value of each criterion was calculated, using the HRs as well as the 5y restricted loss of lifetimes (RLOLs). The Shapley value measures the average influence of each eligibility criterion on the estimated IPI- and age-adjusted HR/5y RLOL. Results: A total of 3,150 R-CHOP treated DLBCL patients without discordant low-grade lymphoma were identified in the surveyed period. A total of 1,666 patients (52.89% of surveyed population) were available for the REMoDL-B trial, 1,431 (45.43%) for Goya, 1,125 (35.71%) for Polarix, and 1,432 (45.46%) for Hovon84. The variations of numbers for each trial evaluation were explained by trial inclusion criteria and missing data in LYFO. Crude OS estimates for patients with and without all necessary information were similar (data not shown). OS curves for eligible and ineligible patients are shown in Figure 1 and, when possible, with superimposed trial results (Goya, REMoDL-B, Hovon84). Survival differences between trial eligible and ineligible patients were robust to further adjustment of imbalances in age and IPI. Associated crude and adjusted 2 and 5-year OS rates for trial eligible and ineligible are shown in Table 1. The largest numerical difference in 2-year crude OS between eligible and ineligible was observed in the REMoDL-B trial (ineligible had 26% lower 2-year OS rate). The largest numerical difference in 2-year OS adjusted for IPI and age between eligible and ineligible was observed for the Polarix trial (ineligible had 17% lower 2-year OS rate). The strongest drivers of OS differences between trial eligible and ineligible patients in terms of the tested eligibility criteria were thrombocyte count (HR-contribution calculated from Shapley values -0.11; -0.14) and ECOG (HR-contribution -0.09; -0.21). Liver function parameters (bilirubin and ALAT) had low impact on OS (HR-contribution 0.00; -0.05 and 0.00; 0.07). Conclusions: The present population-based study confirms that trial ineligible patients have worse survival even after adjustments in imbalances in age and disease risk category. Thus, trial eligibility criteria have substantial impact on generalizability of results to a wider unselected population. Interestingly, the trial eligible patients identified in the present study had very similar outcomes to R-CHOP treated patients in the original trials supporting the possible use of RWD as synthetic control arms. Figure 1 Figure 1. Disclosures Maurer: Kite Pharma: Membership on an entity's Board of Directors or advisory committees; Morphosys: Membership on an entity's Board of Directors or advisory committees, Research Funding; Nanostring: Research Funding; Genentech: Research Funding; Celgene: Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees. Jørgensen: Novartis: Consultancy; Gilead: Consultancy; Roche: Consultancy; Celgene: Consultancy. Larsen: BMS: Consultancy; Novartis: Consultancy; Celgene: Consultancy; Odense University Hospital, Denmark: Current Employment; Gilead: Consultancy. Clausen: Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel expences ASH 2019; Gilead: Consultancy, Other: Travel expences 15th ICML ; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Poulsen: Abbvie: Consultancy; Janssen: Consultancy. El-Galaly: Abbvie: Other: Speakers fee; ROCHE Ltd: Ended employment in the past 24 months.

PET-CT Defined Focal Lesions at Baseline and Day 7 Predict Outcome in GEP 70 Defined High Risk Multiple Myeloma Patients

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3407-3407
Author(s):  
Yogesh Jethava ◽  
Rachel Hunter-Merrill ◽  
Gareth J Morgan ◽  
Rashid Z Khan ◽  
Aasiya Matin ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Cox Regression ◽  
Focal Lesions ◽  
Advisory Committees ◽  
Early Therapy ◽  
Time Points ◽  
The Impact

Abstract Introduction: Fluoro-deoxy-glucose (FDG) positron emission tomography (PET) scanning is an important state-of-the-art imaging tool in the initial workup of patients with multiple myeloma (MM). We evaluate the impact of PET focal lesions (FL) at baseline (BL), 7 days after starting induction therapy (D7) and prior to first autologous transplant (pre-ACST) in gene expression profiling (GEP 70) defined high risk (HR) multiple myeloma (MM) patients. Patients and methods: 48 GEP 70 HR MM patients were treated uniformly on IRB approved protocol consisting of tandem transplants with dose reduced Mel-80-VRD-PACE (melphalan, velcade, revlimid, dexamethasone, cisplatin, adreamycin, cyclophosphamide and etoposide) and interspersed Mel-20-VTD-PACE (melphalan, velcade, thalidomide, dexamethasone, cisplatin, adreamycin, cyclophosphamide and etoposide) consolidation and VRD (velcade, revlimid, dexamethasone) maintenance. PET examinations were performed at (BL), D7 and pre-ASCT, enumerating FDG-avid FL, their SUV max and extra-medullary disease (EMD).Of the 48 GEP 70 HR patients, 39 had BL, 28 had D7 and 42 had pre-ASCT PET examinations. 20 patients had examinations at all 3 time points. At BL, there were 24 (50%) patients with B2M >5.5mg/L and 26 (54%) with albumin <3.5g/dL. Metaphase cytogenetic abnormalities were documented in 36 (75%) patients, including deletion 13/hypodiploidy in 30 (63%). EMD was present in 3 (8%) patients, 28 (58%) had diffuse SUV <= 2 (median 2.4; range 1.4 to 9.5) and 14 (29%) had FL max SUV >3.9 (median 4.6; range 1.6 to 14.4). Results: From BL, the 3-yr PFS estimate was 46% for the group with no FL and 29% for those with FL (Figure 1a). The corresponding PFS data for the D7 was 53% for no FL at D7 as opposed to 11% for those with FL (Figure 1b), and for pre-ASCT it was 34% for no FL and 33% for those with FL (Figure 1c). Joint consideration of BL and D7 landmark revealed 3-yr PFS of 54% for those with no FL at BL, compared to 40% for those with resolution of BL FL by D7 and 18% for those whose FL did not resolve (log rank p-value=0.09), confirming the significance of FL resolution. Cox regression of PFS revealed that those with FL at BL had 2.34 times the risk of progression or death compared to those with no FL at BL (p=0.075), while those with FL at D7 had 3.27 times the risk (p=0.033). Diffuse SUV and SUV max had no impact on PFS at the three time points. Figure 1 Figure 1. Figure 2 Figure 2. Figure 3 Figure 3. Fig 1a- PFS from baseline PET Fig 1b- PFS from D7 PET Fig 1c- PFS from pre-ASCT PET Conclusion: The prognosis of GEP 70 HR MM is dominantly affected by BL indicators of MM metabolism, as revealed by FDG uptake in FL. Our analysis in HR GEP70 MM patients confirms that early suppression of FL by D7 was key to improved PFS. MM patients who had absence of FL resolution from BL to D7 had poorer PFS and are candidates for early therapy change. Disclosures Morgan: Celgene Corp: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Myeloma UK: Membership on an entity's Board of Directors or advisory committees; International Myeloma Foundation: Membership on an entity's Board of Directors or advisory committees; The Binding Site: Membership on an entity's Board of Directors or advisory committees; MMRF: Membership on an entity's Board of Directors or advisory committees. Zangari:Norvartis: Membership on an entity's Board of Directors or advisory committees; Onyx: Research Funding; Millennium: Research Funding. van Rhee:Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees.

scholarly journals VTE Rates and Safety Analysis of Newly Diagnosed Multiple Myeloma Patients Receiving Carfilzomib-Lenalidomide-Dexamethasone (KRD) with or without Rivaroxaban Prophylaxis

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1835-1835 ◽  
Author(s):  
Katrina M Piedra ◽  
Hani Hassoun ◽  
Larry W. Buie ◽  
Sean M. Devlin ◽  
Jessica Flynn ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Venous Thromboembolism ◽  
Board Of Directors ◽  
Research Funding ◽  
High Dose ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Cancer Trial ◽  
Oncology Research ◽  
Increased Risk

Introduction Immunomodulatory agents (IMiD's) are associated with an increased risk of venous thromboembolism (VTE), particularly when combined with high dose steroids. Studies evaluating the use of lenalidomide-bortezomib-dexamethasone (RVD) and carfilzomib-lenalidomide-dexamethasone (KRD) in the frontline setting for multiple myeloma (MM) have reported a 6% and 24% incidence of thrombosis, respectively, despite primary thrombotic prophylaxis with aspirin (ASA) (Richardson, et al. Blood. 2010; Korde, et al. JAMA Oncol 2015). Recent data, including the Hokusai VTE Cancer Trial, have suggested that safety and efficacy of direct oral anticoagulants (DOACs) are preserved in the setting of treatment of solid malignancy-associated thrombosis (Raskob, et al. N Engl J Med. 2018; Mantha, et al. J Thromb Thrombolysis. 2017). Despite this data, there is limited experience and use of DOACs in prevention of thromboses in the setting of hematologic malignancies, specifically MM. After careful review of literature, since early 2018, we changed our clinical practice and routinely placed newly diagnosed MM (NDMM) patients receiving KRD at Memorial Sloan Kettering Cancer Center (MSKCC) on concomitant rivaroxaban 10 mg once daily, regardless of VTE risk stratification. In the following abstract, we present VTE rates and safety data for newly diagnosed MM patients receiving RVD with ASA vs. KRD with ASA vs. KRD with rivaroxaban prophylaxis. Methods This was an IRB-approved, single-center, retrospective chart review study. All untreated patients with newly diagnosed MM, receiving at least one cycle of RVD or KRD between January 2015 and October 2018 were included. The period of observation included the time between the first day of therapy until 90 days after completion of induction therapy. Patients were identified by querying the pharmacy database for carfilzomib or bortezomib administration and outpatient medication review of thromboprophylaxis with rivaroxaban or ASA. VTE diagnoses were confirmed by ICD-10 codes and appropriate imaging studies (computed tomography and ultrasound). Descriptive statistics were performed. Results During the observation period, 241 patients were identified to have received RVD or KRD in the frontline (99 RVD with ASA; 97 KRD with ASA; 45 KRD with rivaroxaban). Baseline characteristics were well distributed among the three arms, with a median age of 60 (30-94) in the RVD ASA arm, 62 (33-77) in the KRD ASA arm, and 60 (24-79) in the KRD rivaroxaban arm. Patients had International Staging System (ISS) stage 3 disease in 13% (N=13), 9.3% (N=9), and 11% (N=5) of the RVD ASA, KRD ASA, and KRD rivaroxaban arms, respectively. Median weekly doses of dexamethasone were higher in both KRD arms, 40 mg (20-40) vs. 20 mg (10-40) in the RVD ASA arm. The average initial doses of lenalidomide were 22 mg in the RVD ASA arm compared to 25 mg in both the KRD ASA and KRD rivaroxaban arms. After querying the pharmacy database, no patients were identified to have a history or concomitant use of erythropoietin stimulating agent (ESA) use. Treatment-related VTE's occurred in 4 patients (4.0%) in the RVD ASA arm, 16 patients (16.5%) in the KRD ASA arm, and in 1 patient (2.2%) in the KRD rivaroxaban arm. Average time to VTE was 6.15 months (Range 5.42, 9.73) after treatment initiation in the RVD ASA group, while it was 2.61 months (Range 0.43, 5.06) in the KRD ASA group and 1.35 months in the KRD rivaroxaban group. Minor, grade 1 bleeding events per the Common Terminology Criteria for Adverse Events (CTCAE) were identified in 1 (1.1%) patient in the RVD ASA arm, 5 (5.2%) patients in the KRD ASA arm, and 1 (2.2%) patient in the KRD rivaroxaban arm. Conclusion More efficacious MM combination therapies have been found to increase the risk of VTE when using ASA prophylaxis, indicating better thromboprophylaxis is needed. We found patients receiving ASA prophylaxis with KRD were more likely to experience a VTE and these events occurred earlier compared to patients receiving ASA prophylaxis with RVD. Importantly, the rate of VTE was reduced to the same level as ASA prophylaxis with RVD when low-dose rivaroxaban 10 mg daily was used with KRD, and without necessarily increasing bleeding risk. Our retrospective data support the development of prospective clinical trials further investigating DOAC use in thromboprophylaxis for NDMM patients receiving carfilzomib-based treatments. Figure Disclosures Hassoun: Novartis: Consultancy; Janssen: Research Funding; Celgene: Research Funding. Lesokhin:BMS: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Janssen: Research Funding; GenMab: Consultancy, Honoraria; Serametrix Inc.: Patents & Royalties; Genentech: Research Funding; Juno: Consultancy, Honoraria. Mailankody:Juno: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Takeda Oncology: Research Funding; CME activity by Physician Education Resource: Honoraria. Smith:Celgene: Consultancy, Patents & Royalties, Research Funding; Fate Therapeutics and Precision Biosciences: Consultancy. Landgren:Theradex: Other: IDMC; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Other: IDMC; Sanofi: Membership on an entity's Board of Directors or advisory committees; Adaptive: 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, Research Funding. OffLabel Disclosure: Off-label use of rivaroxaban for outpatient prophylaxis of venous thromboembolism (VTE) will be explicitly disclosed to the audience.

scholarly journals Beta-Blockers Improved Survival Outcomes in Patients with Multiple Myeloma: A Retrospective Evaluation

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3306-3306
Author(s):  
Yi L. Hwa ◽  
Qian Shi ◽  
Shaji Kumar ◽  
Martha Q. Lacy ◽  
Morie A. Gertz ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Mayo Clinic ◽  
Cumulative Incidence ◽  
Research Funding ◽  
Beta Blockers ◽  
Multivariable Analysis ◽  
Advisory Committees ◽  
Risk Of Death ◽  
Cardiac Medication

Abstract Introduction: A recent study revealed an antiproliferative and apoptotic effect of propranolol on multiple myeloma (MM) cells. Our previous small matched case-control study showed longer survival in patients with propranolol and other beta-blockers (BB) intake than those without. This larger scale study was conducted to confirm the positive association of BB and MM survival. Methods: We identified 1971 newly diagnosed pts seen at Mayo Clinic between 1995 and 2010. Cardiac medication usage after diagnosis of MM was extracted from patient records and categorized based on BB intake. Cause of death was collected with death due to MM as the primary interest event and death due to cardiac disease or other reasons as competing risk events. The primary outcomes were MM disease-specific survival (DSS) and overall survival (OS). Cumulative incidence functions and Kaplan-Meier method were used to estimate the 5-year cumulative incidence rate (CIR) of MM death and OS rate, respectively. DSS and OS were compared by Gray's test and log-rank test, respectively. Multivarable Cox proportional hazard models were used to estimate the adjusted cause-specific HR (HRCSadj.) and hazard ratio (HRadj.) for DSS and OS, respectively, adjusting for demographics, disease characteristics, diagnosis year, and various chemotherapies. Results: 930 (47.2%) of MM patients had no intake of any cardiac medications; 260 (13.2%) had BB only; 343 (17.4%) used both BB / non-BB cardiac medications; and 438 patients (22.2%) had non-BB cardiac drugs. Five-year CIR of MM death and OS rate were shown in table. Superior MM DSS was observed for BB only users, compared to patients without any cardiac drugs (HRCSadj., .53, 95% confidence interval [CI], .42-.67, padj.<.0001) and non-BB cardiac drugs users (HRCSadj., .49, 95% CI, .38-.63, padj.<.0001). Patients received both BB and other cardiac drugs also showed superior MM DSS than non-cardiac drugs users (HRCSadj.., .54, 95% CI, .44-.67, padj.<.0001) and non-BB cardiac drug users. (HRCSadj., .50, 95% CI, .40-.62, padj.<.0001). MM DSS does not differ between BB users with and without other cardiac drugs (padj.=0.90). Multivariable analysis showed the same pattern for OS. None of the MM therapies impacted the differences in DSS and OS among BB intake groups (interaction padj.>.60). Conclusion: MM patients with BB intake showed reduced risk of death due to MM and overall mortality compared to patients who used non-BB cardiac or never used cardiac drugs. The result warrants further investigation for anti-cancer effect of BB in MM. Disclosures Shi: Mayo Clinic: Employment. Kumar:Onyx: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Research Funding; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; BMS: Consultancy; Kesios: Consultancy. Gertz:NCI Frederick: Honoraria; Celgene: Honoraria; Med Learning Group: Honoraria, Speakers Bureau; Research to Practice: Honoraria, Speakers Bureau; Alnylam Pharmaceuticals: Research Funding; Novartis: Research Funding; Prothena Therapeutics: Research Funding; Ionis: Research Funding; Annexon Biosciences: Research Funding; GSK: Honoraria; Sandoz Inc: Honoraria. Kapoor:Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Dispenzieri:pfizer: Research Funding; Celgene: Research Funding; Alnylam: Research Funding; Jannsen: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Clinical Outcomes of Patients with Newly Diagnosed Multiple Myeloma Receiving Triplet Therapy in the Connect MM® Disease Registry

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4229-4229
Author(s):  
Jatin J. Shah ◽  
Rafat Abonour ◽  
Mohit Narang ◽  
Jayesh Mehta ◽  
Howard R. Terebelo ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Newly Diagnosed ◽  
Employment Equity ◽  
Advisory Committees ◽  
Risk Of Death ◽  
Equity Ownership ◽  
Triplet Regimen

Abstract Introduction: Triplet therapies are used for treatment (Tx) of both transplant-eligible and -ineligible patients (pts) with newly diagnosed multiple myeloma (NDMM). Actual patterns and outcomes of Tx are not fully understood. Connect MM® is the first and largest multicenter, US-based, prospective observational cohort study designed to characterize Tx patterns and outcomes for pts with NDMM. This analysis describes demographic and disease characteristics of pts who received triplet Tx as an induction regimen and for whom transplant was or was not intended. The analysis explores the relationship of these factors with overall survival (OS) and other efficacy endpoints. Patients and Methods: Pts aged ≥ 18 y with NDMM within 60 days of diagnosis were eligible for enrollment regardless of disease severity, medical history, or comorbidities. Data including transplant intent (yes/no) was collected at baseline; follow-up data was collected quarterly thereafter. Based on the initial intent, 2 groups were identified: patients with intent to transplant who received transplant (TT) and pts with no intent to transplant who did not receive a transplant (NT). Triplet Tx was defined as the combination of ≥ 3 concurrent therapeutic agents in the first course of Tx (within 56 days of study entry). KM analysis adjusted for age was conducted for OS. Because decisions on use of transplant and triplet therapy are influenced by multiple factors, a multivariable Cox regression analysis was performed to evaluate the contribution of the triplet therapy (yes/no) to OS and was adjusted for other variables, including age, comorbidities, and ISS staging. Results: Between September 2009 and December 2011, 1493 pts were enrolled. This analysis was on 1436 pts: 650 pts with transplant intent and 786 pts without transplant intent. The data cutoff date was November 30, 2014, and the median follow-up for overall survival (OS) was 33.8 mos. Of pts with transplant intent, 451 (69%) received transplant (TT) and 199 (31%) did not. Of pts without transplant intent, 62 (8%) received transplant and 724 (92%) did not (NT). The abstract focuses on TT and NT groups only. NT pts tended to be older and have more advanced ISS staging and higher β2-microglobulin levels than TT pts (Table). The most common triplet regimen given during the first course treatment (within 56 days) was lenalidomide, bortezomib, and dexamethasone (RVd). RVd was administered to 34% of the NT pts (76/225) and 59% of the TT pts (152/257). The most common non-triplet regimen was bortezomib and dexamethasone (Vd), which was given to 31% of NT pts (156/499) and 38% of TT pts (73/194). Within the NT group, pts given triplet Tx had a lower risk of death than those who did not receive triplet Tx (P = .0013). The multivariable analysis found triplet Tx to be associated with a 36% reduced risk of death (hazard ratio [HR] = 0.64 [95% CI, 0.50-0.82]; P = .001). ISS disease stage (HR = 1.43 [95% CI, 1.21-1.69]; P < .001) and history of diabetes (HR = 1.38 [95% CI, 1.08-1.78]; P = .012) were negative prognostic factors for OS. Within the TT group, pts who received triplet Tx did not attain an OS benefit (P = .8993), and no baseline characteristics were significantly associated with OS. These results may be limited by other factors not considered that may have influenced physicians' choice of treatment, including the use of maintenance therapy and a short follow-up period of 33.8 months. Conclusions: Triplet Tx as a first regimen is associated with longer OS in pts without transplant intent who did not receive a transplant. RVd and Vd were the most common first Tx regimens, respectively. Continued follow-up of these pts and enrollment of an additional cohort will provide additional data with mature follow-up. Table 1. Table 1. Disclosures Shah: Bristol-Myers Squibb: Research Funding; Array: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Onyx: 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; Millenium: Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees. Abonour:Celgene: Research Funding, Speakers Bureau. Narang:Celgene: Speakers Bureau. Mehta:Celgene Corporation: Speakers Bureau. Terebelo:Millenium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pharmacylics: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Gasparetto:Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millennium: Honoraria, Other: Export Board Committee, Speakers Bureau. Toomey:Celgene: Consultancy. Hardin:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees. Srinivasan:Celgene Corporation: Employment, Equity Ownership. Larkins:Celgene Corporation: Employment, Equity Ownership. Nagarwala:Celgene Corporation: Employment, Equity Ownership. Rifkin:Onyx Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millennium Pharmaceuticals, Inc., Cambridge, MA, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees.

scholarly journals Genomic Profiling of Smoldering Multiple Myeloma Classifies Molecular Groups with Distinct Pathogenic Phenotypes and Clinical Outcomes

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 723-723
Author(s):  
Shankara Anand ◽  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Robert A. Redd ◽  
Eileen M Boyle ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Molecular Classification ◽  
Intermediate Risk ◽  
Advisory Committees ◽  
Increased Risk ◽  
Risk Of Progression ◽  
Over Time

Abstract Introduction: Multiple Myeloma (MM) is an incurable plasma cell malignancy commonly preceded by the asymptomatic stage smoldering multiple myeloma (SMM). MM is characterized with significant genomic heterogeneity of chromosomal gains and losses (CNVs), translocations, and point mutations (SNVs); alterations that are also observed in SMM patients. However, current SMM risk models rely solely on clinical markers and do not accurately capture progression risk. While incorporating some genomic biomarkers improves prediction, using all MM genomic features to comprehensively stratify patients may increase risk stratification precision in SMM. Methods: We obtained a total of 214 patient samples at SMM diagnosis. We performed whole-exome sequencing on 166 tumors; of these, RNA sequencing was performed on 100. Targeted capture was done on 48 additional tumors. Upon binarization of DNA features, we performed consensus non-negative matrix factorization to identify distinct molecular clusters. We then trained a random forest classifier on translocations, SNVs, and CNVs. The predicted clinical outcomes for the molecular subtypes were further validated in an independent SMM cohort of 74 patients. Results: We identified six genomic subtypes, four with hyperdiploidy (&gt;48 chromosomes, HMC, HKR, HNT, HNF) and two with IgH translocations (FMD, CND) (Table 1). In multivariate analysis accounting for IMWG (20-2-20) clinical risk stages, high-risk (HMC, FMD, HKR) and intermediate-risk (HNT, HNF) genetic subtypes were independent predictors of progression (Hazards ratio [HR]: 3.8 and 5.5, P = 0.016 and 0.001, respectively). The low-risk, CND subtype harboring translocation (11;14) was enriched for the previously defined CD-2 MM signature defined by the B cell markers CD20 and CD79A (FDR = 0.003 ), showed upregulation of CCND1, E2F1, and E2F7 (FDR = 0.01, 0.0004, 0.08), and was enriched for G2M checkpoint, heme metabolism, and monocyte cell signature (FDR = 0.003, 0.003, 0.003, respectively). The FMD subtype with IgH translocations (4;14) and (14;16) was enriched for P53, mTORC1, unfolded protein signaling pathways and plasmacytoid dendritic cell signatures (FDR = 0.01, 0.005, 0.008, respectively). The HKR tumors were enriched for inflammatory cytokine signaling, MYC target genes, T regulatory cell signature, and the MM proliferative (PR) signatures (FDR = 0.02, 0.03, 0.007, 0.02, respectively). The APOBEC mutational signature was enriched in HMC and FMD tumors (P = 0.005), while there was no statistical difference across subtypes in the AID signature. The median follow-up for the primary cohort is 7.1 years. Median TTP for patients in HMC, FMD, and HKR was 3.8, 2.6, and 2.2 years, respectively; TTP for HNT and HNF was 4.3 and 5.2, respectively, while it was 11 years in CND patients (P = 0.007). Moreover, by analyzing the changes in MM clinical biomarkers over time, we found that patients from high-risk subgroups had higher odds of developing evolving hemoglobin and monoclonal protein levels over time (P = 0.01 and 0.002, respectively); Moreover, the absolute increase in M-protein was significantly higher in patients from the high-risk genetic subtypes at one, two, and five years from diagnosis (P = 0.001, 0.03, and 0,01, respectively). Applying the classifier to the external cohort replicated our findings where intermediate and high-risk genetic subgroups conferred increased risk of progression to MM in multivariate analysis after accounting for IMWG staging (HR: 5.5 and 9.8, P = 0.04 and 0.005, respectively). Interestingly, within the intermediate-risk clinical group in the primary cohort, patients in the high-risk genetic subgroups had increased risk of progression (HR: 5.2, 95% CI 1.5 - 17.3, P = 0.007). In the validation cohort, these patients also had an increased risk of progression to MM (HR: 6.7, 95% CI 1.2 - 38.3, P = 0.03), indicating that molecular classification improves the clinical risk-stratification models. Conclusion: We identified and validated in an independent dataset six SMM molecular subgroups with distinct DNA alterations, transcriptional profiles, dysregulated pathways, and risks of progression to active MM. Our results underscore the importance of molecular classification in addition to clinical evaluation in better identifying high-risk SMM patients. Moreover, these subgroups may be used to identify tumor vulnerabilities and target them with precision medicine efforts. Figure 1 Figure 1. Disclosures Bustoros: Janssen, Bristol Myers Squibb: Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria. Casneuf: Janssen: Current Employment. Kastritis: Amgen: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Genesis Pharma: Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Walker: Bristol Myers Squibb: Research Funding; Sanofi: Speakers Bureau. Davies: Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Dimopoulos: Amgen: Honoraria; BMS: Honoraria; Takeda: Honoraria; Beigene: Honoraria; Janssen: Honoraria. Bergsagel: Genetech: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: human CRBN mouse; GSK: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Yong: BMS: Research Funding; Autolus: Research Funding; Takeda: Honoraria; Janssen: Honoraria, Research Funding; Sanofi: Honoraria, Research Funding; GSK: Honoraria; Amgen: Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Getz: IBM, Pharmacyclics: Research Funding; Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees. Ghobrial: AbbVie, Adaptive, Aptitude Health, BMS, Cellectar, Curio Science, Genetch, Janssen, Janssen Central American and Caribbean, Karyopharm, Medscape, Oncopeptides, Sanofi, Takeda, The Binding Site, GNS, GSK: Consultancy.

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