scholarly journals African-American Patients with Monoclonal Gammopathy Have a Reduced Risk of Transformation to Clinical Myeloma: Results of a Prospective Study SWOG S0120

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1877-1877 ◽  
Author(s):  
Madhav V Dhodapkar ◽  
Rachael Sexton ◽  
Antje Hoering ◽  
Bart Barlogie ◽  
Robert Z. Orlowski
Keyword(s):  
Multiple Myeloma ◽  
African American ◽  
Board Of Directors ◽  
Monoclonal Gammopathy ◽  
Research Funding ◽  
Chromosome 1 ◽  
Optimal Management ◽  
Advisory Committees ◽  
Risk Of Progression ◽  
The Impact

Abstract Introduction: Both multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) are associated with marked racial disparities; incidence of both MM and MGUS is increased nearly 3-fold in African American (AA) compared to Caucasian/European American (EA) cohorts. Current estimates of the risk of progression to clinical malignancy in MGUS and asymptomatic myeloma (AMM) are at 1% and 10% per year respectively, based on data from EA cohorts such as from the Olmstead county in Minnesota. Risk estimates from prospective studies in AA cohorts are urgently needed to guide optimal management of these patients. Methods: Between 2003 and 2011, 331 eligible patients with IgG/A monoclonal gammopathy were enrolled in a prospective observational trial (SWOG S0120). All patients underwent uniform staging evaluation at baseline and follow up monitoring for progression to clinical myeloma (CMM). This analysis is focused on the impact of race on clinical and biologic features and risk of progression. Results: Of 331 eligible patients, 57 (17%) were of AA descent. Clinical features of the AA cohort were comparable to the non-AA counterparts, with the exception of higher proportion of females (61% versus 43%; p=0.01) and hemoglobin < 12 g/dl (37% versus 23%; p=0.04) in the AA cohort. Among 126 patients with available data on gene expression profile (GEP) of CD138-purified plasma cells, the proportion of patients with GEP-defined subsets was similar between AA and non-AA cohorts. The risk of transformation to clinical malignancy in AA patients was significantly lower than in non-AA cohort (2 year risk 5% vs 15%; 5 year risk 13% versus 24%; log rank p 0.04). Differences in risk were evident for both MGUS (2 year risk 0% versus 2 %) and AMM (2 year risk 13% versus 25%). The proportion of patients with high risk GEP signature (GEP-70 gene risk > -0.26) in purified tumor cells was markedly lower in the AA cohort (0% versus 33%, p=0.01). Unbiased analysis of which genes in the AA cohort predict risk of progression is ongoing. Conclusions: Together these data provide the first prospective evidence that AA patients with myeloma precursor states carry significantly lower risk of progression to CMM compared to non-AA counterparts. This may be explained in part by the finding that precursor lesions in AA patients have markedly lower proportion of genomic changes (such as GEP70-risk signature derived predominantly from chromosome 1) previously associated with higher risk of malignancy in EA cohorts. The mechanisms underlying the transformation to CMM may therefore differ between AA and EA cohorts, which in turn may impact optimal management of these patients. Disclosures Barlogie: Dana Farber Cancer Institute: Other: travel stipend; Celgene: Consultancy, Research Funding; ComtecMed- World Congress on Controversies in Hematology: Other: travel stipend; European School of Haematology- International Conference on Multiple Myeloma: Other: travel stipend; International Workshop on Waldenström's Macroglobulinemia: Other: travel stipend; Millenium: Consultancy, Research Funding; Myeloma Health, LLC: Patents & Royalties: : Co-inventor of patents and patent applications related to use of GEP in cancer medicine licensed to Myeloma Health, LLC; Multiple Myeloma Research Foundation: Other: travel stipend. Orlowski:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioTheryX, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy; Poseida: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy; Millenium Pharmaceuticals: Consultancy, Research Funding.

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.

scholarly journals Prospective Study Reveals Increased Platelet Function Associated with Multiple Myeloma and Its Treatment

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 21-21
Author(s):  
Dalia Khan ◽  
Joanne Mitchell ◽  
Rekha Rana ◽  
Neline Kriek ◽  
Amanda Unsworth ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Platelet Function ◽  
Research Funding ◽  
Platelet Reactivity ◽  
Immunoblot Analysis ◽  
Healthy Controls ◽  
Advisory Committees ◽  
Fibrinogen Binding ◽  
The Impact

Background: Multiple Myeloma (MM) is a rare incurable bone marrow cancer characterised by a malignant proliferation of plasma cells. MM is usually preceded by a premalignant and benign Monoclonal Gammopathy of Undetermined Significance (MGUS). The incidence of arterial and venous thrombosis in MM is substantially higher than in the normal population, however the cause of this increased thrombosis risk and the impact of MM on platelet function is unclear. Treatments for both newly diagnosed and relapsed/refractory patients with MM include Immunomodulatory drugs (IMiDs) such as thalidomide/lenalidomide-based combinations. These treatments improve considerably patient outcomes, however iMiD treatment also increases the risk of thrombotic complications in these patients. Aims: In this prospective study we explored the impact of MM and its treatment on platelet function. Methods: High throughput functional analysis was performed using platelets from normal healthy controls (n=31) and patients with MGUS (n=18), smouldering multiple myeloma (SMM, n= 20), and MM (26). The MM group was further divided into 3 treatment cohorts; (1) no treatment, (2) treatment with proteasome inhibitor (PI) and dexamethasone (Dex), and (3) treatment with PI, Dex, immunomodulatory drug (iMiD) and direct oral anticoagulant. Platelet aggregation and activation (fibrinogen binding and P-selectin exposure) were measured in response to a concentration range of agonists including ADP, the thrombin receptor agonist TRAP-6, collagen, collagen-related peptide (CRP), a thromboxane receptor agonist U46619 and epinephrine. Cereblon protein was detected in platelet protein extracts by immunoblot analysis. Results: Consistent with previous reports, modestly increased VWF and factor VIII levels were detected in MM patients, but no additional differences in coagulation parameters were detected in patient groups compared to normal healthy controls (other than expected due to anticoagulant usage). Platelet aggregation in response to each agonist was increased significantly in the MM patient group compared to the normal healthy controls, suggesting that platelet reactivity is elevated in MM patients through a common mechanism that is shared by different activation pathways or the involvement of multiple mechanisms. P-selectin exposure on platelets from MM patients was not significantly different from normal healthy donors, indicating that enhanced platelet reactivity in MM is specifically through modulation of integrin αIIbβ3 activation, fibrinogen binding and therefore enhanced aggregation. The effects of treatment on platelet function in patients on iMiD vs. non iMiD treatment were assessed. In the iMiD treatment group, patient platelets aggregated in response to lower concentrations of ADP, collagen, epinephrine and CRP in samples taken post-treatment compared to those taken before and during treatment. This demonstrates an increased sensitivity to platelet activation in these patients induced by treatment. Immunoblot analysis revealed that platelets contain cereblon, a therapeutic target of lenalidomide. The potential direct effects of iMiDs on platelets in vitro was therefore explored. Lenalidomide treatment (10mM) increased the ability of platelets to aggregate in response to low concentrations of each agonist tested when compared to normal controls. Conclusions: Platelet reactivity is increased in multiple myeloma and increased further upon iMiD treatment. The presence of the key therapeutic target for iMiDs in platelets and the ability of lenalidomide to modulate platelet function directly, reveals new avenues for investigation to determine the underlying mechanism of action. Disclosures Laffan: CSL: Consultancy; Pfizer: Consultancy; Sobi: Consultancy; Roche: Consultancy; LFB: Consultancy; Shire: Consultancy; Octapharma: Consultancy; Bayer: Speakers Bureau; Roche-Chugai: Speakers Bureau; Takeda: Speakers Bureau; Leo-Pharma: Speakers Bureau; Pfizer: Speakers Bureau. Shapiro:Bayer: Consultancy, Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; NovoNordisk: Consultancy, Speakers Bureau; Sobi: Consultancy, Speakers Bureau; Chugai/Roche: Consultancy, Speakers Bureau; Shire/Takeda: Consultancy, Speakers Bureau. Thakurta:Oxford University: Other: visiting professor; Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Ramasamy:Takeda: Research Funding; Janssen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Research Funding; Amgen: Research Funding; Amgen: Honoraria; Takeda: Honoraria; Sanofi: Honoraria; Oncopeptides: Honoraria; Takeda: Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Bristol Myers Squibb: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Bristol Myers squibb: Membership on an entity's Board of Directors or advisory committees. Gibbins:Bristol Myers Squibb: Research Funding; Arena Pharmaceuticals: Research Funding.

Obesity In Young Adulthood Is Associated With Early Onset Multiple Myeloma In African Americans

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1872-1872
Author(s):  
Amie E. Hwang ◽  
Sikander Ailawadhi ◽  
Leon Bernal-Mizrachi ◽  
Todd M Zimmerman ◽  
Christopher Haiman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multiple Myeloma ◽  
African American ◽  
African Americans ◽  
Board Of Directors ◽  
Research Funding ◽  
Clinical Characteristics ◽  
Age At Diagnosis ◽  
Advisory Committees ◽  
Younger Age

Abstract Introduction African-American ethnicity, male sex, older age and obesity are accepted risk factors for multiple myeloma (MM). Obesity early in life is a risk factor for many cancers, including MM; most studies have focused on populations of European origin. African-Americans have a higher prevalence of obesity than other populations, and may have a distinct genetic contribution to this condition. We established a multi-center collaborative study to investigate possible explanations for the excess risk of MM among African-Americans. The aim of the present case-case analysis was to determine whether body mass index (BMI) was associated with risk factors and clinical characteristics at presentation in African-American MM patients. Methods Patients diagnosed with active MM since January 1, 2009 were recruited from nine outpatient centers and three Surveillance, Epidemiology, End-Results Program (SEER) population-based cancer registries. Information on weight and height at 20 years of age and at 5 years prior to diagnosis was obtained from questionnaires. Clinical information collected included age at diagnosis, stage, percent plasmacytosis on bone marrow biopsy, β2 microglobulin level, Ig serotype, light vs. heavy chain disease, and presence of lytic bone lesions. BMI (ht/wt2) was categorized into 3 levels (normal <25, overweight 25-29, obese >30) according to World Health Organization standard. The Pearson chi-square test was used to test the association between BMI category, and risk factors and clinical characteristics. Mean ages at diagnosis across BMI categories were compared using linear regression and a t-test for trend calculated. Results To date, 1,044 African-American MM patients have been enrolled and of those, 1,014 provided a DNA sample. At present, 970 patients have completed a questionnaire, clinical records have been abstracted for 823 patients, and 509 patients have some information on gender, age at diagnosis, weight, height and clinical characteristics.The mean age at diagnosis was 59. Increasing BMI at age 20 was associated with younger age at diagnosis (p= 0.0004), whereas BMI at 5 years prior to diagnosis was not associated with age at diagnosis (p=0.9477). Among men, mean age at diagnosis decreased with increasing BMI at age 20 (p= 0.0125) (Table 1a) and at 5 years prior to diagnosis (p=0.0252) (Table 1b). Among women, the trend was signficant at age 20 (p=0.0018) (Table 1a) but not at 5 years prior to diagnosis (p= 0.7094) (Table 1b). Increasing BMI was not significantly associated with any other clinical characteristics. Conclusion/Discussion In a large collection of African-American MM patients, we observed a strong association between increasing BMI at age 20 and younger age at diagnosis. A similar trend was observed in men only at 5 years prior to diagnosis, consistent with previous reports. Obesity is one of the few known potentially modifiable risk factors for MM. Younger age at diagnosis reflects an earlier accumulation of either or both genetic and environmental risk factors. Obesity at an early age may influence MM risk through shared biological pathways such as interleukin-6 and insulin-like growth factor, by contributing to chronic B-cell activation, thereby increasing susceptibilty for MM later in life. The significance of the gender difference for the association closer to diagnosis is unclear and requires additional study. Disclosures: Terebelo: Amgen: Honoraria; Millennium: Honoraria. Mehta:Celgene: Speakers Bureau; Millennium: Speakers Bureau. Zonder:Skyline: Consultancy. Orlowski:Bristol-Myers Squibb: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Millennium: The Takeda Oncology Company: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Onyx: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Resverlogix: Research Funding; Array Biopharma: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Genentech: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Merck: Membership on an entity’s Board of Directors or advisory committees. Lonial:Celgene Corporation: Consultancy; Millennium: Consultancy; Novartis: Consultancy; Bristol Myers Squibb: Consultancy; Sanofi: Consultancy; Onyx: Consultancy.

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 Subcutaneous Versus Intravenous Bortezomib in Two Different Induction Therapies for Newly Diagnosed Multiple Myeloma – Subgroup Analysis from the GMMG-MM5 Trial

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3475-3475 ◽  
Author(s):  
Maximilian Merz ◽  
Hans Salwender ◽  
Mathias Hänel ◽  
Uta Bertsch ◽  
Christina Kunz ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Induction Therapy ◽  
Research Funding ◽  
Group Iv ◽  
Route Of Administration ◽  
Prolonged Treatment ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
The Impact

Abstract Background: In patients with relapsed multiple myeloma (MM), Moreau and colleagues (Lancet Oncol, 2011) demonstrated that subcutaneous (SC) administration of bortezomib (BTZ) significantly reduced rates of adverse events (AE) compared to the intravenous (IV) formulation without loss of efficacy. Prospective data on SC BTZ in newly diagnosed MM are limited. We investigated the impact of SC versus IV BTZ in two different induction therapies for patients with newly diagnosed MM treated within the multicenter, prospective randomized MM5 trial of the German Myeloma Multicenter Group (GMMG). Methods: From 06/2010 until 11/2013, 604 patients were randomly assigned to receive 3 cycles of PAd (BTZ 1.3 mg/m2, days 1, 4, 8 and 11; Doxorubicin 9 mg/m2 IV, days 1-4; Dexamethasone 20 mg/d, orally, days 1-4, 9-12 and 17-20) or 3 cycles VCD (BTZ 1.3 mg/m2, days 1, 4, 8 and 11; Cyclophosphamide 900 mg/m2IV; day 1, Dexamethasone 40 mg/d, orally, days 1-2, 4-5, 8-9 and 11-12) for induction therapy. In the MM5 trial, induction therapy is followed by stem cell mobilization and harvest, high-dose therapy and Lenalidomide-based consolidation/maintenance therapy. Primary end points of the ongoing study are response to treatment after induction therapy and progression-free survival. Due to improved AE profile of SC compared to IV BTZ reported by Moreau, the administration of BTZ was changed from IV to SC in 02/2012. Therefore, we were able to perform an explorative analysis of 598 patients who received at least one dose of trial medication (PAd: n=150 IV / 140 SC; VCD: n=154 IV / 140 SC). 14 patients were excluded from the analysis because administration of BTZ was changed after start of induction therapy. We analyzed whether the route of administration influenced the applied cumulative BTZ dose, toxicity and efficacy of PAd and VCD. Results: The cumulative applied BTZ dose was significantly higher in patients treated with SC BTZ (PAd: 28.9 mg; VCD: 28.8 mg) compared to IV-treated patients (PAd: 27.6 mg; VCD: 27.9 mg; p = 0.007). Analysis of reported AEs associated to induction therapy revealed a significantly higher rate in patients treated with IV BTZ (65.1%) compared to SC-treated patients (55.7%, p = 0.02). AE > °II were reported more frequently in the IV group (IV: 52.0%; SC: 43.9%, p = 0.004). In detail, abnormal laboratory findings including leucopenia and thrombocytopenia (IV: 23.0%; SC: 16.4%, p = 0.05), metabolism and nutrition disorders (IV: 12.5%; SC: 5.4%, p = 0.004) and gastrointestinal disorders (IV: 9.9%; SC: 3.9%, p = 0.006) occurred more often in IV-treated patients. Analysis of peripheral neuropathy (PN) ≥ °II revealed no significant differences between IV and SC BTZ during the first two cycles of induction therapy (cycle 1: IV: 1.6%; SC: 2.5%; cycle 2: IV: 2.3%; SC: 3.6%) but PN occurred more often in IV-treated patients during the third cycle of induction therapy compared to the SC group (IV: 7.6%; SC: 1.8%, p = 0.001). Overall response rates (partial response or better) were not influenced by the route of administration in patients treated with PAd (IV: 72.7%; SC: 70.7%; p = 0.79) or VCD (IV: 77.9%; SC: 82.1%; p = 0.39). Analysis of the VCD arm showed that rates of VGPR or better were significantly higher in patients treated with IV BTZ compared to SC-treated patients (IV: 41.6%; SC: 28.6%, p = 0.02). Rates of VGPR or better were also higher for IV-treated patients in the PAd arm but did not reach statistical significance (IV: 36.7%; SC: 31.4%, p=0.39). Patient characteristics including baseline creatinine levels > 2 mg/dl, obesity or age at inclusion > 65 years did not influence efficacy of IV or SC BTZ in both arms. Conclusion: Last year we reported on the favorable toxicity profile and equal efficacy of VCD compared to PAd. With the current analysis we demonstrate that toxicity is further reduced with SC BTZ compared to IV. We therefore recommend VCD as induction therapy. However, we show for the first time a possible loss of efficacy in SC-treated patients. Therefore it remains unclear whether the reduced toxicity justifies the general application of SC BTZ in newly diagnosed, transplant-eligible patients or whether a prolonged treatment (4 x VCD SC) may reduce toxicity while achieving similar efficacy. Further studies are warranted since our results are partially in contrast with the previously presented data in relapsed MM and the ongoing MM5 trial was initially not designed to prospectively investigate the effect of SC or IV BTZ. Disclosures Salwender: 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; Binding site: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Scheid:Celgene: Honoraria; Janssen: Honoraria. Mai:Janssen: Travel support Other. Hose:Novartis: Research Funding. Schmidt-Wolf:Janssen: Consultancy, Honoraria. Weisel:Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Onyx: Consultancy, Honoraria; BMS: Consultancy; Noxxon: Consultancy. Duerig:Janssen: Consultancy, Honoraria; Celgene: Honoraria. Goldschmidt:Janssen-Cilag: Honoraria, Research Funding, Speakers Bureau; Polyphor: Research Funding; Celgene: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Chugai: Research Funding, Speakers Bureau; Onyx: Consultancy, Speakers Bureau; Millenium: Consultancy, Speakers Bureau.

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.

scholarly journals A Novel Approach to Risk Stratification in Multiple Myeloma Using ISS Stage and FISH

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1800-1800 ◽  
Author(s):  
Shaji K. Kumar ◽  
Patricia Greipp ◽  
Morie A Gertz ◽  
Angela Dispenzieri ◽  
Linda B Baughn ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Final Model ◽  
Survival Table ◽  
The Impact ◽  
1Q Gain

Background: A variety of risk factors have been described in multiple myeloma and current risk assessment incorporates ISS stage with specific FISH results and serum LDH (R-ISS). However, this model does not include all the current abnormalities described as prognostic for survival in multiple myeloma. Importantly, the impact of many of these high-risk abnormalities are not uniform. We examined if we can better integrate FISH results into a risk assessment tool to better predict the outcomes of newly diagnosed MM. Patients and methods: We studied a cohort of 1316 patients with FISH done within 6 months of diagnosis of MM, in whom results for commonly observed abnormalities were available. We specifically examined the individual impact of common translocations involving chromosome 14, MYC rearrangements, chromosome 1q gain (single or multiple duplication) and del13q/monosomy 13. A risk assessment system was developed, weighting each abnormality according to their Risk Ratio and integrating ISS stage and serum LDH into the final model construction. Overall survival was calculated from diagnosis, with those alive at last follow up being censored. Results: We first examined the impact of each of the above FISH abnormalities: 1) high risk translocations [t(4;14), t(14;16), or t(14,20)], 2) trisomies, 3) t(11;14), 4) MYCrearrangements, 5) del13q/monosomy 13, and 6) 1q gain . Each of the abnormalities, except for t(11;14), was prognostic for survival (Table 1 with the risk ratios). For 1q gain, the median OS was NR, 105 mos and 79 mos respectively for no abnormality, duplication of 1 copy and duplication of multiple copies, (p<0.001). On multivariate analysis, t(11;14) and trisomies were no longer prognostic for overall survival (Table 1). The cumulative impact of abnormalities demonstrated worsening survival in the presence of increasing numbers of abnormalities (Figure 1). Including ISS stage 3 and LDH > ULN as additional variables for prognostication indicated both were individually prognostic for OS. In a multivariate analysis, including these two and FISH abnormalities, 1q gain and LDH were not independently prognostic. The final model consisted of HR translocations, MYCrearrangements, del17p/monosomy 17, del13q/monosomy 13, and ISS stage 3. Each of these variables was weighted using their risk ratio and a composite score was developed using 998 patients for whom all variables were available (range: 0-7.9; median 1.8). Three patient groups were characterized: group 1 (0; 32%), group 2 (1-4; 58%) and group 3 (>4; 10%) with a median OS of 53 mos, 106 mos, and NR, respectively, p <0.001 (Figure 2). Conclusion: Using the most relevant FISH and laboratory factors, in a large cohort of patients, we refined the current system to develop a risk stratification system that predicts survival in patients with newly diagnosed MM treated with contemporary treatment regimens. This needs validation in future studies. Disclosures Kumar: Janssen: Consultancy, Research Funding; Takeda: Research Funding; Celgene: Consultancy, Research Funding. Gertz:International Waldenstrom Foundation: Research Funding; Annexon: Consultancy; Medscape: Consultancy, Speakers Bureau; Amyloidosis Foundation: Research Funding; Abbvie: Other: personal fees for Data Safety Monitoring board; i3Health: Other: Development of educational programs and materials; Springer Publishing: Patents & Royalties; Physicians Education Resource: Consultancy; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Proclara: Membership on an entity's Board of Directors or advisory committees; Ionis/Akcea: Consultancy; Alnylam: Consultancy; Prothena Biosciences Inc: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Appellis: Consultancy; Research to Practice: Consultancy; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Amgen: Consultancy. Dispenzieri:Akcea: Consultancy; Janssen: Consultancy; Intellia: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding. Lacy:Celgene: Research Funding. Dingli:alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Rigel: Consultancy; Karyopharm: Research Funding. Kapoor:Celgene: Honoraria; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Glaxo Smith Kline: Research Funding; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Cellectar: Consultancy. Leung:Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees. Bergsagel:Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; Janssen Pharmaceuticals: Consultancy.

scholarly journals Short-Term Risk for Progression in Patients with Smoldering Multiple Myeloma: The Impact of CD56 Expression

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 11-11
Author(s):  
Laura Notarfranchi ◽  
Rosanna Vescovini ◽  
Roberta Segreto ◽  
Sabrina Bonomini ◽  
Paola Storti ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Clinical Study ◽  
Board Of Directors ◽  
Research Funding ◽  
Prognostic Score ◽  
Short Term ◽  
Advisory Committees ◽  
Risk Of Progression ◽  
Cd56 Expression

The identification of risk factors for progression is critical in the clinical management and appropriate follow up of patients with Smoldering Multiple Myeloma (SMM). The early identification of patients with possible short-term progression to Multiple Myeloma (MM) could lead to anticipate the treatment. Several prognostic score identify in SMM patients the main risk factors for progression to MM. The two most used risk stratification models in SMM are the Mayo Clinic model, based on the tumor burden and the free light chains ratio, and the Spanish PETHEMA group model based on the immunophenotyped to identify abnormal plasma cells (PCs) and the reduction of the unevolved immunoglobulins. However, significant discrepancies between these two clinical models currently used in clinical practice has been recently underlined. For this reason, new parameters to identify possible new parameters for progression in SMM need to be defined. The aim of this study was to validate the main prognostic score and to investigate the possible role of the immunphenotype as risk factor for progression in a monocentric cohort of patients with SMM. We retrospectively evaluated a cohort of SMM patients admitted to a single haematological center (Hematology and BMT Unit, University Hospital of Parma) between 2014 and 2018. We analyzed a total cohort of 80 patients diagnosed with SMM according to the IMWG recently updated diagnostic criteria. All patients analysed underwent to Bone Marrow (BM) examination and imaging evaluation was performed in order to exclude the presence of bone disease and/or focal lesions. Both immunophenotypic and FISH analysis were performed of BMPCs. The median age of the SMM patients analysed was 68 years (range 36-93 years). Median percentage of BMPCs was 15% (range 10-40%) in the entire population. Median serum M-protein was 2 g/dL (range: 0.17-4.5). FLC ratio value was available in 66 patients: in 47 (71%) the ratio was unbalanced, 26 (39%) had a FLC ratio ≤ 0.125 or ≥ 8 and in 6 (9%) it was &gt; 20. The presence of a reduction of one or two uninvolved immunoglobulins occurred in 61% of the entire population. The median follow up time was 27 months (range 0 - 76 months) for whole population. Overall 22 patients of the entire cohort progressed to MM with a median the time to progression (TTP) of 22 months. Firstly, we validated the currently score of progression in our cohort of SMM patients. By univariate analysis we found that percentage of BMPCs, abnormal FLC ratio and presence of immunoparesis were significantly correlated with progression to active MM (p&lt;0.005 for each variable). Any significant correlation was not observed with age, sex, Ig isotype and light chain's type (p=NS). Afterwards, we study and confirm the significance of the risk stratification models. "Pethema" (p=0.0002), "20-2-20" Mayo score (p=0.0005) and also the "Danish score" (p= 0.0173) turned out statistically significant. Then, we investigate the possible role of immunophenotype in the risk of progression. Dividing the population-based on CD56 expression, we found that the median TTP in CD56- SMM patients was 21 months as compared to 34 months in CD 56+ SMM patients (p= 0.08). Moreover CD56- patients progressed without a significant increase of the monoclonal component (p=0.48) as compared to those CD56+ SMM patients (p=0.023). Finally, a relationship between CD56 expression and the hyperdiploidy was wound finding that CD56- SMM patients had a significant lower presence of hyperdiploidy as compared to those with CD56+ BMPCs (p=0.024) In conclusion, our data indicate that in SMM patients the factors, which mostly impact on the short-term risk of progression to active MM, are the entity of the PCs infiltrate, the immunoparesis and abnormal FLC ratio. Therefore, we identified the absence of CD56 expression by BMPCs as a possible factor for a more aggressive disease regardless to the tumoral burden. Disclosures Giuliani: Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Participation in congresses, Research Funding; Janssen Pharmaceutical: Membership on an entity's Board of Directors or advisory committees, Other: Clinical study sponsorship; participation in congresses, Research Funding; Millennium Pharmaceutical: Other: Clinical study sponsorship, Research Funding; GSK: Other: Clinical study sponsorship, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Other: Participation in congresses.

scholarly journals Characterization of Rare Germline Variants in Familial Multiple Myeloma

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 45-46
Author(s):  
Calogerina Catalano ◽  
Joanna Blocka ◽  
Stefanie Huhn ◽  
Nagarajan Paramasivam ◽  
Matthias Schlesner ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Medicinal Product ◽  
Board Of Directors ◽  
Research Funding ◽  
High Impact ◽  
Investigational Medicinal Product ◽  
Genome Wide Association Studies ◽  
Whole Genome ◽  
Advisory Committees ◽  
The Impact

Introduction: The risk of developing Multiple Myeloma (MM) is 2-4 fold higher in first-degree relatives of patients with MM compared to the general population, suggesting genetic predisposition to this cancer. Indeed, recent genome-wide association studies have identified common risk alleles that predispose for MM. Yet, the impact of these variants on MM risk is too low to explain familial aggregation of MM. High-impact alleles have been identified for other cancers such as ovarian and breast cancer (BRCA1,-2) and melanoma (CDKN2A) but the search for such alleles in MM is still in its infancy. In order to identify high-impact alleles in MM we have performed whole genome/exon sequencing (WGS/WES) in members of MM high risk families. Methods: We included 21 families with multiple cases of MM/MGUS. Whole genome/exome sequencing was performed on a total of 46 affected and 20 unaffected family members. Filtering and prioritization of the variants were performed in accordance with the criteria of our in-house familial cancer variant prioritization pipeline version 2 (FCVPPv2). Loss-of-function variants were further screened using MutPred-LOF, Translate tool and IntOGen/c-BioPortal in order to discriminate pathogenic and neutral variants, to translate a nucleotide sequence to a protein sequence and to visualize the domain affected by the variant and the portion of the protein lost after the newly formed stop codon. Variants were analyzed for predicted effects on splicing by using Human Splicing Finder. Results: We found a total of 148 potentially pathogenic variants, 109 non-synonymous and 39 LOF, in 18 out of 21 MM families. Among our genes, many affect protein metabolism, immune system, and other have known links to carcinogenesis. Additionally, some of them are known to interact with key signaling pathways in MM, including PI3K/Akt/mTOR, Ras/Raf/MEK/MAPK, JAK/STAT, NF-κB, Wnt/β-catenin, and RANK/RANKL/OPG, showing congruency with previously reported literature. Interestingly, we also found different missense variants in the same two genes in two unrelated families. Conclusions: We have identified potentially pathogenic gene variants in 85% of MM/MGUS families. Our results can offer a useful reference to gene finding efforts by others in order to improve screening, early diagnosis and personalized therapy of individuals at risk of developing MM. Disclosures Durie: Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Goldschmidt:Merck Sharp and Dohme (MSD): Research Funding; Molecular Partners: Research Funding; Incyte: Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Johns Hopkins University: Other: Grants and/or provision of Investigational Medicinal Product; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Dietmar-Hopp-Foundation: Other: Grants and/or provision of Investigational Medicinal Product:; Chugai: Honoraria, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; University Hospital Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany: Current Employment; GlaxoSmithKline (GSK): Honoraria; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product, Research Funding; Novartis: Honoraria, Research Funding; Mundipharma GmbH: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding.

scholarly journals Disparities in Healthcare Resource Utilization for Multiple Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4793-4793
Author(s):  
Mark A. Fiala ◽  
Tanya M. Wildes ◽  
Mark A. Schroeder ◽  
Armin Ghobadi ◽  
Keith E. Stockerl-Goldstein ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
African American ◽  
African Americans ◽  
Board Of Directors ◽  
Research Funding ◽  
Outpatient Services ◽  
Advisory Committees ◽  
Inpatient Settings ◽  
White Patients

Abstract Background: Nearly half of older African-Americans who develop multiple myeloma (MM) do not receive systemic treatment. Those who do are less likely to receive newer treatments, such as novel agents and stem cell transplant, than their peers. In this study, we sought to determine if disparities in resource utilization exist even among patients receiving similar treatment. Methods: All newly diagnosed MM cases from 2007-2013 in the SEER-Medicare dataset were reviewed along with their corresponding claims data through 2014. We excluded cases 1) not enrolled in Medicare Part A, B, and D; 2) HMO enrollees; 3) those diagnosed prior to age 65; 4) all patients who did not receive a proteasome inhibitor and/or an immunomodulatory drug within 6 months; 5) those who underwent stem cell mobilization or transplantation; or 6) died within 12 months of MM diagnosis. All reported medical costs including both those paid by Medicare and patient copays for the first 12 months post-diagnosis were captured and adjusted for inflation. Results: 2,841 patients were included. The median age was 74 at diagnosis (range 65-96) and 51% were male. 79% (n = 2,247) were white, 14% (n = 403) African-American/Black, and 7% (n = 191) were another race. Overall, the median expenditure was $127,054 in the 12 months post-diagnosis; $121,400 for African-Americans, $127,810 for whites, and $119,209 for other races. After controlling for age, gender, comorbidities, a proxy measure of performance status, and MM related renal impairment and bone disease, African-American patients had $10,524 less in overall expenditures on average than white patients. This can partly be attributed to lower expenditures on MM drugs. On average African-American patients had $5,520 less in MM drug expenditures (p = 0.0062). African-Americans also had 9.3 less days of interaction with outpatient services compared to their white peers (p < 0.0001), but 4.6 more days in inpatient settings (p = 0.0208). There was no statistically significant difference between white patients and patients of races other than white or African-American in overall expenditure or MM drug expenditure but members of other races had 8.2 less days of interaction with outpatient services (p = 0.0004) and 5.7 less days in inpatient settings (p = 0.0350). The estimated median overall survival for African-American patients was 44 months (95% CI 40-51) compared to 47 (45-50) for white patients and 57 (44-66) for patients of other races (p = 0.097). Race was not associated with overall survival in multivariate analysis. Conclusion: Minority patients with MM received fewer services during the 12 months post-diagnosis. It is currently unclear if this is due to inferior care, overuse among white patients, or related to the clinical needs of the patients. Disclosures Schroeder: Amgen Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees. Vij:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Honoraria, 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; Jansson: Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharma: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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