Clonal Hematopoiesis Prevalence Increases throughout Treatment of Newly Diagnosed Multiple Myeloma Patients

Abstract Background: Recent studies have identified clinical and genomic factors contributing to worse clinical outcomes in patients with multiple myeloma (MM). Clonal hematopoiesis (CH) reflects the presence of somatic driver mutations in the blood or marrow of otherwise asymptomatic individuals. Using a variant allele frequency (VAF) cutoff of 2%, we recently reported CH in 21.6% of MM patients at the time of autologous stem cell transplant (ASCT) and found it was associated with shorter overall survival (OS) and progression-free survival (PFS) in those who did not receive maintenance therapy with an immunomodulatory drug (IMiD). However, this finding was based on a single tertiary center and only included MM patients who received ASCT. Methods: We studied a larger cohort of 986 newly diagnosed MM cases. Whole-exome sequencing (WES) data of peripheral blood and bone marrow samples of 986 MM patients (523 transplanted and 463 non-transplanted) from the Multiple Myeloma Research Foundation (MMRF) Clinical Outcomes in MM to Personal Assessment of Genetic Profile (CoMMpass, NCT0145429) study were analyzed. Both peripheral blood and tumor samples were analyzed to filter out myeloma mutations that could be contaminating the peripheral blood. Given the lower depth of coverage compared to prior targeted sequencing studies, small clones with a VAF below 2% were not detected. Altogether, the WES samples had a total depth of coverage of 117.68X. All data were analyzed using R version 3.5.0 (R Core Team). Results: Among the total cohort, 113 CH mutations were detected in 101/986 (10.24%) patients. CH was detected in 42/523 (8.03%) transplanted patients, compared to 59/463 (12.74%) non-transplanted patients. The most commonly mutated genes were DNMT3A, TET2, ASXL1, PPM1D, and TP53. The median age of the cohort was 63 years (range: 27 - 93), 60% were male, and median follow-up was 3.9 years (95% CI: 3.7 - 4.0). The presence of CH was associated with age (69 vs. 62 years, P < 0.001). As expected, the median age of transplanted patients was lower (60 vs. 67 years) than in the non-transplanted group, which likely explains the higher prevalence of CH detected in the non-transplanted group. CH was associated with recurrent bacterial infections (P = 0.01) and increased cardiovascular disease (P = 0.006), but not with cerebrovascular disease (P = 0.74) or coagulopathies (P = 0.65). There was a trend towards worse PFS in non-ASCT patients with CH who were not treated with IMiDs (1.8 years) compared to non-CH IMiD-treated patients (2.7 years) (P < 0.001). A CH effect on PFS was not detected in ASCT patients. OS was not different in those with or without CH in both ASCT and non-ASCT groups. 8 (0.8%) patients developed a second hematologic malignancy. CH at the time of MM diagnosis was not associated with an increased risk of developing a second hematologic malignancy (P = 0.58). To determine whether CH clones emerged or evolved during treatment, we examined serial samples from 52 patients (36 ASCT patients and 16 non-transplanted patients) with sequential samples. The median time between the first and second time point was 3.1 years (range: 1.0 - 5.4 years). At the first time point, only 3/52 (5.8%) patients had CH, but that number increased to 13/52 (25.0%) at the second time point. Five out of the 13 (38%) were non-transplanted patients. All but 1 patient were exposed to IMiDs. The most common emerging mutated gene was DNMT3A, found in 7 patient samples at the second time point, compared to 2 patients at the first time point. Conclusion: Using WES in a large cohort of newly diagnosed MM patients, we detected CH in 10.2% (VAF ≥ 2%) of patients. CH and non-IMiD treatment confers a shorter PFS in non-transplanted MM patients. However, throughout IMiD-based treatment, MM patients tend to acquire and/or expand previously undetected CH clones, particularly DNMT3A. The clinical significance of this clonal expansion during therapy is yet to be elucidated, and for now, this observation does not yet change clinical management. Figure 1 Figure 1. Disclosures Steensma: Novartis: Current Employment. Ebert: Deerfield: Research Funding; GRAIL: Consultancy; Exo Therapeutics: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Skyhawk Therapeutics: Membership on an entity's Board of Directors or advisory committees. Soiffer: NMPD - Be the Match, USA: Membership on an entity's Board of Directors or advisory committees; Gilead, USA: Other: Career Development Award Committee; Rheos Therapeutics, USA: Consultancy; Kiadis, Netherlands: Membership on an entity's Board of Directors or advisory committees; Juno Therapeutics, USA: Other: Data Safety Monitoring Board; Precision Biosciences, USA: Consultancy; Jazz Pharmaceuticals, USA: Consultancy; Jasper: Consultancy; Takeda: Consultancy. Sperling: Adaptive: Consultancy. Getz: Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees; IBM, Pharmacyclics: Research Funding. 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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Characterization of Exceptional Responders to Autologous Stem Cell Transplantation in Multiple Myeloma

Blood ◽

10.1182/blood-2018-99-119623 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4615-4615

Author(s):

Ashley Paquin ◽

Morie A. Gertz ◽

Hafsa Chaudhry ◽

Shaji K. Kumar ◽

Francis K. Buadi ◽

...

Keyword(s):

Multiple Myeloma ◽

Overall Survival ◽

Maintenance Therapy ◽

Board Of Directors ◽

Mayo Clinic ◽

Research Funding ◽

Complete Response ◽

Newly Diagnosed ◽

Advisory Committees ◽

Time Point

Abstract Aims: Autologous stem cell transplantation (ASCT) is an important component in the treatment of newly diagnosed multiple myeloma (MM). However, relapse following ASCT is considered almost inevitable, with a median time to progression (TTP) of approximately 23-26 months (without maintenance) and 40-46 months (with maintenance)(Attal MA et al. N Engl J Med 2012; 366:1782-1791; McCarthy PM et al. N Engl J Med 2012; 366:1770-1781). However, some patients can experience a prolonged period of remission with ASCT. The purpose of this study was to identify and characterize patients who have an exceptional response to upfront ASCT without maintenance therapy, and to determine the frequency of relapse in such patients. Methods: We searched the Mayo Clinic Multiple Myeloma bone marrow transplant database for patients who were diagnosed with MM between Aug 1, 1988 to Jan 3, 2006, and underwent ASCT within 12 months of initial diagnosis. For the purposes of this study, we defined exceptional responders as patients who were free of progression for 96 months or more, which is 2-3 fold more than the median TTP expected in this population. Since maintenance therapy was not standard of care at the time, only a small minority (6) of patients with prolonged TTP had received maintenance therapy; these patients were excluded since the study was focused on exceptional response with ASCT alone. One patient who had a tandem autologous transplant was excluded. Results: 509 patients underwent transplant during the study period. Of those, 46 (9%) met criteria for exceptional response. Twenty seven (59%) were female, 19 (41%) were male. Median age was 57.28 years, range, 31.9-73.0. Of 45 patients with response data available, the best response status was complete response or better in 32 patients (73.3%), VGPR in 4 patients (8.9%), and PR in 8 patients (17.7%). FISH data were available during the disease course for 41 patients. Of these, the majority, 28 patients (68.3%), had no abnormalities detected by the probes used; 3 patients (7.3%) had high risk cytogenetics (t(4;14) in 2 patients and t(14;16) in one patient) , 4 (9.8%) had trisomies; 6 patients had other isolated abnormalities. At last follow up, 23 patients have progressed (50%); 14 (30.4%) have died, including one who died without progression to MM. The median overall survival from time of diagnosis of the exceptional responders was 18.5 years, range 9.2-22 years. From the landmark time of 96 months, the median TTP was 6.2 years, range, 0.4-10.6 years (Figure 1); No plateau was seen in the TTP curve. From the landmark time of 96 months, the median OS was 10.5 years, range, 0.4-14 years. Conclusions: We conclude that approximately 10% of patients with newly diagnosed myeloma have an exceptional response to a single ASCT without maintenance therapy. These patients have a remarkable overall survival, both from diagnosis and from the landmark time point where they are classified as having achieved an exceptional response. Although TTP from the landmark time point is excellent, with median TTP of 6.2 years, there appears to be no plateau in the curve indicating ongoing risk of relapse despite a prolonged period of disease stability. Exceptional responders tended to have normal FISH studies (likely an indicator of responsive, low-tumor burden disease), and nearly 20% achieved this state despite not attaining a complete response. Figure. Figure. Disclosures Gertz: Research to Practice: Consultancy; Apellis: Consultancy; spectrum: Consultancy, Honoraria; Medscape: Consultancy; celgene: Consultancy; janssen: Consultancy; Teva: Consultancy; Abbvie: Consultancy; annexon: Consultancy; Ionis: Honoraria; Alnylam: Honoraria; Prothena: Honoraria; Amgen: Consultancy; Physicians Education Resource: Consultancy. Kumar:KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: 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, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Research Funding; AbbVie: 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. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Dingli:Millennium Takeda: Research Funding; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.. Russell:Vyriad: Equity Ownership. Kapoor:Takeda: Research Funding; Celgene: Research Funding.

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Prognostic Significance of Early Immune Reconstitution in Newly Diagnosed Multiple Myeloma

Blood ◽

10.1182/blood-2018-99-113970 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3158-3158

Author(s):

Moritz Binder ◽

S. Vincent Rajkumar ◽

Martha Q. Lacy ◽

Morie A. Gertz ◽

Francis K. Buadi ◽

...

Keyword(s):

Multiple Myeloma ◽

Overall Survival ◽

Board Of Directors ◽

Peripheral Blood ◽

Research Funding ◽

Immune Reconstitution ◽

Immune Dysregulation ◽

Blood Parameters ◽

Newly Diagnosed ◽

Advisory Committees

Abstract Background: Peripheral blood biomarkers of tumor microenvironment and immune surveillance such as absolute lymphocyte (ALC) and monocyte (AMC) counts are independent prognostic factors in several hematologic malignancies including multiple myeloma. The timing and prognostic impact of immune reconstitution has been studied after autologous hematopoietic stem cell transplantation, less is known about its significance in newly diagnosed multiple myeloma prior to transplantation. Methods: We studied 771 patients with newly diagnosed multiple myeloma who were treated with novel agents at Mayo Clinic between 01/2004 and 12/2015. Peripheral blood absolute lymphocyte and monocyte counts were measured at the time of treatment initiation and one month thereafter in all patients (including data obtained between 14 and 42 days after treatment initiation). The outcome of interest was overall survival. The peripheral blood parameters of interest were abnormal ALC (reference range 800-2400/µL) and AMC (reference range 500-1500/µL) at baseline and at one month. Immune dysregulation was defined as both abnormal ALC and AMC. Immune reconstitution was defined as recovery of both normal ALC and AMC. The Wilcoxon signed-rank test was used to compare the peripheral blood parameters before and after the first month of treatment. Multivariable-adjusted proportional hazards regression models were used to assess the associations between changes in peripheral blood parameters and overall survival. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis was 65 years (27 - 90) and 459 patients were male (60%). The three most common first-line regimens were lenalidomide + dexamethasone, bortezomib + cyclophosphamide + dexamethasone, and bortezomib + lenalidomide + dexamethasone. Two hundred and eighty patients (36%) went on to undergo autologous hematopoietic stem cell transplantation as part of their first-line therapy. The median ALC decreased from 1100/µL (range 60 - 5590) at baseline to 850/µL (range 60 - 5590) at one month (p < 0.001). The median AMC increased from 330/µL (range 0 - 1840) at baseline to 420/µL (range 0 - 1840) at one month (p < 0.001). The median time between re-assessment of ALC and AMC was 25 days (range 15 - 42). Two hundred and thirty-four patients (31%) had evidence of immune dysregulation at baseline (both abnormal ALC and AMC). Eighty-seven of these 234 patients (37%) recovered normal ALC and AMC at one month (early immune reconstitution). One hundred and thirty-seven of the 537 patients with normal ALC and AMC at baseline (26%) developed new immune dysregulation at one month. The absence of immune dysregulation at baseline (compared to the presence thereof) was associated with better overall survival (HR 0.77, 95% CI 0.61 - 0.97, p = 0.025, n = 771). The absence of immune dysregulation at one month (compared to the persistence or development thereof) was associated with better overall survival (HR 0.63, 95% CI 0.50 - 0.80, p < 0.001, n = 771). Early immune reconstitution (compared to the persistence or development of immune dysregulation) was associated with better overall survival (HR 0.62, 95% CI 0.43 - 0.92, p = 0.016, n = 771). Both associations remained statistically significant after adjusting for age at diagnosis, sex, International Staging System stage, and eligibility for transplantation: HR 0.70 (95% CI 0.54 - 0.90, p = 0.006, n = 612) and HR 0.59 (95% CI 0.39 - 0.90, p = 0.014, n = 612), respectively. Conclusions: Peripheral blood biomarkers of immune dysregulation vary over time and have prognostic significance both at baseline and during follow-up. The presence or development of immune dysregulation in newly diagnosed multiple myeloma is an independent risk factor. The favorable impact of early immune reconstitution suggests that immune dysregulation is a potentially modifiable risk factor that may be exploited for therapeutic benefit. Figure. Figure. Disclosures Lacy: Celgene: Research Funding. Gertz:celgene: Consultancy; Medscape: Consultancy; janssen: Consultancy; Prothena: Honoraria; Apellis: Consultancy; Ionis: Honoraria; annexon: Consultancy; spectrum: Consultancy, Honoraria; Amgen: Consultancy; Physicians Education Resource: Consultancy; Abbvie: Consultancy; Research to Practice: Consultancy; Teva: Consultancy; Alnylam: Honoraria. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Russell:Vyriad: Equity Ownership. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Kumar:AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: 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; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding.

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JAK2V617F Clonal Hematopoiesis Stratifies By Peripheral Blood Counts.

Blood ◽

10.1182/blood-2019-129639 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1203-1203

Author(s):

Andrew Sochacki ◽

Shilin Zhao ◽

Cosmin Adrian Bejan ◽

Travis Spaulding ◽

Shannon Stockton ◽

...

Keyword(s):

Board Of Directors ◽

Peripheral Blood ◽

Research Funding ◽

Who Classification ◽

Hematologic Malignancy ◽

Deficiency Anemia ◽

Advisory Committees ◽

Normal Peripheral Blood ◽

Clonal Hematopoiesis

Background:Patients with clonal hematopoiesis (CH) in the absence of WHO-classified myeloid disease are of special interest given their increased prevalence with age, predisposition to morbid cardiovascular complications, and amplified risk of overt hematologic malignancy. Pts are often stratified by normal peripheral blood counts into clonal hematopoiesis of indeterminate potential (CHIP), or those with unexplained cytopenias as clonal cytopenias of undetermined significance (CCUS). However, less is known about pts with elevated counts and clonal hematopoiesis who do not fulfill WHO criteria for any myeloproliferative neoplasia (MPN). We leveraged Vanderbilt University Medical Center's unique biobank, BioVU, to identify the prevalence of JAK2V617Facross 48,000 pts to evaluate the clinical changes in progression from CH to overt myeloid disease. Methods:To develop a reference JAKV617Ftraining set, next generation sequencing via Illumina Trusight Myeloid Panel (NGS) was performed on BioVU samples (N=133) from pts with confirmed myeloproliferative malignancy. Of those pts, 78 harbored JAK2V617Fwith a range of variant allele frequencies (VAF). Matched samples in this training set (N=133) were also analyzed via Infinium® Expanded Multi-Ethnic Genotyping Array (MEGAEX). SNP array JAK2V617Fvariant intensity was extracted (rs77375493; NM_004972.3(JAK2): c.1849G>T (p.Val617Phe). A regression model was built using NGS VAF as a dependent variable and MEGAEX intensity data as independent variable (r2=0.9931).Based on this model, we imputed JAK2V617FVAF for all 48,000 pts in our cohort. Pts with JAK2V617Fwere subdivided into: clinically confirmed myeloid disease, or JAK2V617Fwithout a diagnosis of MPN. Upon review of the EMR, the latter group was further dived into: 1) probable undiagnosedMPN, 2) CHIP, 3) CCUS, or 4) CH with associated elevated peripheral blood counts (CHAPbc). Only lab values after the date of JAK2V617Fdetection were included. Confirmed malignancy was defined by WHO classification of disease. Pts with evidence of possible WHO classified PV or ET with Hgb >18.5g/dl in men, >16.5g/dl in women, or PLT count >450k/mcl regardless of gender were classified as probable undiagnosedMPN. CHIP was defined as JAK2V617Fwithout abnormal counts across a patient's EMR lifetime, except when confounding events, e.g. trauma surgery or overt iron deficiency anemia, incorrectly skewed values. CCUS was defined as JAK2V617Fin the presence of unexplained cytopenias; hemoglobin (Hgb) <13.5g/dl men or <12g/dl women, leukocyte count (WBC) <3.9x10^3/uL or platelet (PLT) <135 x10^3/mcL. We classified pts with elevated blood counts who did not meet the WHO classification of MPN [e.g. WBC >10.7 regardless of gender, Hgb 18-18.5 g/dL in men or 16.0-16.5 g/dL in women with maximum Hgb no greater than 18.5g/dl in men and 16.5g/dl in women, or PLT count between 371-450k/mcl regardless of gender (and no values >450k/mcl)] as CHAPbc. Results:We identified 410 of 48,000 pts who harbored JAK2V617F(0.85% prevalence). Of those, 270/410 had clinically diagnosed hematologic malignancy including primary myelofibrosis (PMF) (79), ET (48), PV (43) and Ph-MPN NOS (29). MDS (29), AML (15), NHL (16), plasma cell dyscrasias (5), CML (3), other (3). There were 19/410 with insufficient clinical data to determine diagnosis. The remaining 121/410 JAK2V617Fpts did not have a related diagnosis. Figure 1a demonstrates imputed VAF differences in JAK2V617Fbetween known MPN vs. CH (including undiagnosed MPN) by age (mean VAF 0.44 vs. 0.17 respectively P<0.001). We identified several undiagnosed MPNs (22), which subdivided into polycythemia predominant (1), thrombocythemia predominant (16) or a combination of polycythemia and thrombocythemia (5). The remaining 99/410 cases were CH,with CHIP (55), CCUS (29), and CHAPbc (15). Ranges of blood counts appear to be a continuous variable among JAK2V617Fpts with CH or undiagnosed MPN (Fig 1b-1d). Summary: We used an unbiased approach to identify the prevalence of JAK2V617Facross all pts at a single institution. In this cohort, hematologic malignancy and CH did stratify by imputed VAF. Further, within JAK2V617FCH, CHAPbc may be differentiated from CHIP by clinical phenotype and further investigation will be required to determine its impact on patient outcomes. Disclosures Savona: Sunesis: Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte Corporation: 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; Boehringer Ingelheim: Patents & Royalties; Selvita: Membership on an entity's Board of Directors or advisory committees; Karyopharm Therapeutics: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: 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.

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Clonal Hematopoiesis Is Frequent and Associated with Inferior Survival Irrespective of Transplantation Strategy in Patients with Newly Diagnosed Multiple Myeloma

Blood ◽

10.1182/blood-2021-148050 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1127-1127

Author(s):

Adam S. Sperling ◽

Robert Redd ◽

Christopher J. Gibson ◽

Peter G. Miller ◽

Jill Corre ◽

...

Keyword(s):

Multiple Myeloma ◽

Overall Survival ◽

Board Of Directors ◽

Research Funding ◽

Autologous Transplantation ◽

Newly Diagnosed ◽

Relapse Free Survival ◽

Advisory Committees ◽

Free Survival ◽

Clonal Hematopoiesis

Abstract Background: The acquisition of somatic clonal mutations in the blood of healthy individuals is referred to as clonal hematopoiesis (CH) and is associated with increased age, risk of hematologic malignancy, and non-malignant inflammatory outcomes. The presence of CH in patients with non-Hodgkin lymphoma (NHL) has been associated with adverse outcomes and decreased overall survival (OS) especially in the setting of autologous transplantation. In multiple myeloma (MM), the presence of CH at the time of stem cell collection was associated with decreased OS only in those patients who did not receive thalidomide analog maintenance. However, the clinical significance of CH in patients with newly diagnosed MM undergoing autologous transplant has not been assessed. We sought to determine the frequency and clinical outcome of CH in patients with newly diagnosed MM. The IFM 2009 study randomized 700 newly diagnosed patients with MM to lenalidomide, bortezomib and dexamethasone (RVd) versus RVd plus high-dose therapy (HDT). This patient cohort provides a unique opportunity to examine the prevalence of CH in newly diagnosed MM patients and assess its influence on clinical outcomes, including early transplantation, in a homogeneously treated population of MM patients. Methods: We performed targeted error-corrected next generation sequencing of 100 genes recurrently mutated in hematologic malignancies in 377 patients with newly diagnosed MM who were part of the IFM 2009 study (additional patient samples are pending analysis). CH was defined as the presence of any pathogenic mutation with a variant allele fraction (VAF) ≥ 0.005. Sample DNA was collected from peripheral blood of subjects at the time of screening/diagnosis. The median age at sample collection was 59 years. Median follow-up was 7.8 years. Results: We identified CH in 188 (48%) patients with VAF ≥ 0.005, in 119 (32%) patients with VAF ≥ 0.01 and in 59 (16%) patients with VAF ≥ 0.02. Because prior studies have primarily assessed clinical significance of VAF ≥ 0.02, further analysis was restricted to this threshold. Consistent with prior reports DNMT3A (30 patients), TET2 (11 patients) and ASXL1 (3 patients) were the most commonly mutated genes. The presence of CH was associated with increased median age (61 vs 59 years, p = 0.003), ISS stage III (p = 0.007) and increased LDH (p = 0.006), but not with sex, monoclonal protein isotype, b2-microglobulin level, or assignment to RVd or HDT arms. As previously reported, randomization to the early transplant arm was associated with increased relapse free survival but not with improved OS. Across the entire cohort, the presence of CH was associated with inferior OS (p = 0.003), but had no association with relapse-free survival or time to relapse. The decrement in OS was seen equally in both the RVd and HDT arms of the study. The presence of mutant clones smaller than a VAF < 0.02 was not associated with adverse clinical outcomes. Fourteen patients developed a second primary malignancy (SPM), only two of which were hematologic neoplasms. There was no difference in the frequency of SPM development in those patients with or without CH. Conclusions: In patients with newly diagnosed multiple myeloma, the presence of CH at a VAF ≥ 0.02 is frequently observed and is associated with decreased overall survival regardless of transplantation strategy. The presence of CH did not affect the risk of developing an SPM. Taken together, these data suggest that while CH is associated with decreased survival the presence of CH should not alter eligibility of patients for autologous transplantation. Figure 1 Figure 1. Disclosures Sperling: Adaptive: Consultancy. Miller: Foundation Medicine: Consultancy. Moreau: Amgen: Honoraria; Celgene BMS: Honoraria; Abbvie: Honoraria; Janssen: Honoraria; Sanofi: Honoraria; Oncopeptides: Honoraria. Neuberg: Pharmacyclics: Research Funding; Madrigal Pharmaceuticals: Other: Stock ownership. Ebert: Celgene: Research Funding; Skyhawk Therapeutics: Membership on an entity's Board of Directors or advisory committees; GRAIL: Consultancy; Exo Therapeutics: Membership on an entity's Board of Directors or advisory committees; Deerfield: Research Funding. Munshi: Amgen: Consultancy; Abbvie: Consultancy; Takeda: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Oncopep: Consultancy, Current equity holder in publicly-traded company, Other: scientific founder, Patents & Royalties; Pfizer: Consultancy; Adaptive Biotechnology: Consultancy; Karyopharm: Consultancy; Celgene: Consultancy; Legend: Consultancy; Bristol-Myers Squibb: Consultancy.

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

Blood ◽

10.1182/blood-2019-124403 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1835-1835 ◽

Cited By ~ 4

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.

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Metaphase Cytogenetics for Risk Stratification in Newly Diagnosed Multiple Myeloma

Blood ◽

10.1182/blood-2019-122291 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4396-4396

Author(s):

Patrick Mellors ◽

Moritz Binder ◽

Rhett P. Ketterling ◽

Patricia Griepp ◽

Linda B Baughn ◽

...

Keyword(s):

Multiple Myeloma ◽

Risk Stratification ◽

Board Of Directors ◽

Research Funding ◽

Multivariable Analysis ◽

Risk Modeling ◽

Newly Diagnosed ◽

Advisory Committees ◽

Cytogenetic Abnormalities ◽

Improve Risk Stratification

Introduction: Abnormal metaphase cytogenetics are associated with inferior survival in newly diagnosed multiple myeloma (MM). These abnormalities are only detected in one third of cases due to the low proliferative rate of plasma cells. It is unknown if metaphase cytogenetics improve risk stratification when using contemporary prognostic models such as the revised international staging system (R-ISS), which incorporates interphase fluorescence in situ hybridization (FISH). Aims: The aims of this study were to 1) characterize the association between abnormalities on metaphase cytogenetics and overall survival (OS) in newly diagnosed MM treated with novel agents and 2) evaluate whether the addition of metaphase cytogenetics to R-ISS, age, and plasma cell labeling index (PCLI) improves model discrimination with respect to OS. Methods: We analyzed a retrospective cohort of 483 newly diagnosed MM patients treated with proteasome inhibitors (PI) and/or immunomodulators (IMID) who had metaphase cytogenetics performed prior to initiation of therapy. Abnormal metaphase cytogenetics were defined as MM specific abnormalities, while normal metaphase cytogenetics included constitutional cytogenetic variants, age-related Y chromosome loss, and normal metaphase karyotypes. Multivariable adjusted proportional hazards regression models were fit for the association between known prognostic factors and OS. Covariates associated with inferior OS on multivariable analysis included R-ISS stage, age ≥ 70, PCLI ≥ 2, and abnormal metaphase cytogenetics. We devised a risk scoring system weighted by their respective hazard ratios (R-ISS II +1, R-ISS III + 2, age ≥ 70 +2, PCLI ≥ 2 +1, metaphase cytogenetic abnormalities + 1). Low (LR), intermediate (IR), and high risk (HR) groups were established based on risk scores of 0-1, 2-3, and 4-5 in modeling without metaphase cytogenetics, and scores of 0-1, 2-3, and 4-6 in modeling incorporating metaphase cytogenetics, respectively. Survival estimates were calculated using the Kaplan-Meier method. Survival analysis was stratified by LR, IR, and HR groups in models 1) excluding metaphase cytogenetics 2) including metaphase cytogenetics and 3) including metaphase cytogenetics, with IR stratified by presence and absence of metaphase cytogenetic abnormalities. Survival estimates were compared between groups using the log-rank test. Harrell's C was used to compare the predictive power of risk modeling with and without metaphase cytogenetics. Results: Median age at diagnosis was 66 (31-95), 281 patients (58%) were men, median follow up was 5.5 years (0.04-14.4), and median OS was 6.4 years (95% CI 5.7-6.8). Ninety-seven patients (20%) were R-ISS stage I, 318 (66%) stage II, and 68 (14%) stage III. One-hundred and fourteen patients (24%) had high-risk abnormalities by FISH, and 115 (24%) had abnormal metaphase cytogenetics. Three-hundred and thirteen patients (65%) received an IMID, 119 (25%) a PI, 51 (10%) received IMID and PI, and 137 (28%) underwent upfront autologous hematopoietic stem cell transplantation (ASCT). On multivariable analysis, R-ISS (HR 1.59, 95% CI 1.29-1.97, p < 0.001), age ≥ 70 (HR 2.32, 95% CI 1.83-2.93, p < 0.001), PCLI ≥ 2, (HR 1.52, 95% CI 1.16-2.00, p=0.002) and abnormalities on metaphase cytogenetics (HR 1.35, 95% CI 1.05-1.75, p=0.019) were associated with inferior OS. IR and HR groups experienced significantly worse survival compared to LR groups in models excluding (Figure 1A) and including (Figure 1B) the effect of metaphase cytogenetics (p < 0.001 for all comparisons). However, the inclusion of metaphase cytogenetics did not improve discrimination. Likewise, subgroup analysis of IR patients by the presence or absence of metaphase cytogenetic abnormalities did not improve risk stratification (Figure 1C) (p < 0.001). The addition of metaphase cytogenetics to risk modeling with R-ISS stage, age ≥ 70, and PCLI ≥ 2 did not improve prognostic performance when evaluated by Harrell's C (c=0.636 without cytogenetics, c=0.642 with cytogenetics, absolute difference 0.005, 95% CI 0.002-0.012, p=0.142). Conclusions: Abnormalities on metaphase cytogenetics at diagnosis are associated with inferior OS in MM when accounting for the effects of R-ISS, age, and PCLI. However, the addition of metaphase cytogenetics to prognostic modeling incorporating these covariates did not significantly improve risk stratification. Disclosures Lacy: Celgene: Research Funding. Dispenzieri:Akcea: Consultancy; Intellia: Consultancy; Alnylam: Research Funding; Celgene: Research Funding; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding. Kapoor:Celgene: Honoraria; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Cellectar: Consultancy; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Glaxo Smith Kline: Research Funding. 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. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

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Timing of Daratumumab Administered Pre-Mobilization in Multiple Myeloma Impacts Pre-Harvest Peripheral Blood CD34+ Cell Counts and Plerixafor Use

Blood ◽

10.1182/blood-2020-140811 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 15-16

Author(s):

Danny Luan ◽

Paul J Christos ◽

Michael Ancharski ◽

Danielle Guarneri ◽

Roger Pearse ◽

...

Keyword(s):

Stem Cell ◽

Board Of Directors ◽

Peripheral Blood ◽

Research Funding ◽

Stem Cell Mobilization ◽

Newly Diagnosed ◽

Advisory Committees ◽

Peripheral Blood Cd34 ◽

Hematopoietic Recovery ◽

Cell Mobilization

Background: Daratumumab (DARA) is a monoclonal antibody which targets CD38 on plasma cells and B cell progenitors. DARA has been effectively combined with other therapies in newly diagnosed and relapsed/refractory multiple myeloma (RRMM), while DARA-based induction regimens in transplant-eligible patients (pts) are increasingly being used in clinical practice. Given that hematopoietic stem cells also express CD38, DARA may potentially affect stem cell mobilization and hematopoietic reconstitution following autologous stem cell transplant (ASCT). Although no clinically significant impact of DARA on stem cell mobilization or hematopoietic recovery was described in large phase 3 trials of triplet induction regimens +/- DARA in newly diagnosed MM, stem cell yields were lower and plerixafor more commonly used in the DARA-containing arms [Moreau et al, Lancet 2019; Voorhees et al, Blood 2020]. Significantly longer time to neutrophil (PMN) engraftment was also reported in pts receiving DARA-based induction who underwent upfront ASCT [Al Saleh et al, Am J Hematol 2020]. In this study, we examine the impact of timing of DARA administration pre-mobilization on day 4 pre-harvest peripheral blood CD34 cell count, stem cell apheresis yield, and post-ASCT engraftment. Methods: Between 1/1/2016 and 12/31/2019, newly diagnosed and RRMM pts receiving DARA-based induction regimens with ≥1 dose of DARA administered within 1 month prior to stem cell mobilization were identified retrospectively and compared to matched controls receiving similar induction regimens without DARA. Granulocyte colony-stimulating factor (G-CSF) was administered per institutional standards and plerixafor added based on day 4 pre-harvest peripheral blood CD34 counts. PMN and platelet engraftment post-ASCT was defined as the first of 3 consecutive days with sustained PMN count >500 x 106/L and independence from platelet transfusion in the preceding 7 days with a count >20 x 109/L, respectively. Pre-harvest peripheral blood CD34 counts and stem cell apheresis yields were obtained from the Cellular Therapy Laboratory at NewYork-Presbyterian Hospital. The study was approved by the Weill Cornell Medicine IRB. Results: We identified 16 pts who received DARA-based induction with ≥1 dose of DARA administered within 1 month of apheresis (DARA group) and 16 non-DARA-containing regimen-matched controls (non-DARA group). Demographics of the DARA and non-DARA groups were well matched (Table 1). DARA pts received their last dose of DARA a mean of 17.3 days prior to the first day of apheresis, with 8 pts receiving their last dose within 2 weeks and the remaining 8 pts between 2 weeks and 1 month prior. Overall, mobilization outcomes were inferior in the DARA group (Table 2). DARA pts had significantly lower day 4 pre-harvest peripheral blood CD34 counts compared to non-DARA pts (17.2 vs 35.4 cells/µL; P=0.0146). Institutional algorithm required plerixafor to be given for day 4 CD34 count ≤40 cells/µL. Fifteen of the 16 DARA pts received plerixafor vs. 11 non-DARA pts (P=0.07). Additionally, DARA pts required significantly more apheresis days (2.4 vs 1.6 days; P=0.0279). Differences in stem cell yield were not significant (8 vs 10 x106cells/kg; P=0.1391). Hematopoietic recovery post-ASCT was not affected by DARA administered in the month preceding mobilization. Conclusions: In summary, we report lower day 4 pre-harvest peripheral blood CD34 count, increased requirement for plerixafor, and longer apheresis duration in newly diagnosed and RRMM pts receiving DARA within 1 month ofstem cell mobilization. These limitations are largely overcome by plerixafor usage which, combined with G-CSF, resulted in successful stem cell collection in all patients. Limitations in our study include small sample sizes, retrospective control selection, and fewer pts in the DARA group achieving ≥VGPR prior to mobilization. Nevertheless, our findings are consistent with inferior mobilization outcomes reported in the DARA-containing arms of phase 3 trials of triplet induction +/- DARA and highlight the nearly universal requirement for plerixafor usage when DARA is administered within a month prior to apheresis. Prospective study of day 4 pre-harvest peripheral blood CD34 counts and other predictors of stem cell yield should be incorporated into future clinical trials of CD38 monoclonal antibody-based induction regimens for transplant-eligible MM pts. Disclosures Rossi: Janssen: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees. Niesvizky:GSK: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Rosenbaum:Amgen: Research Funding; GlaxoSmithKline: Research Funding; Akcea: Honoraria; Celgene: Honoraria; Janssen: Research Funding.

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Analysis of Serial Patient Samples Reveals a Variety of Clonal Dynamics In Multiple Myeloma

Blood ◽

10.1182/blood.v116.21.1923.1923 ◽

2010 ◽

Vol 116 (21) ◽

pp. 1923-1923

Author(s):

Jonathan J Keats ◽

Esteban Braggio ◽

Scott Van Wier ◽

Patrick Blackburn ◽

Angela Baker ◽

...

Keyword(s):

Gene Expression ◽

Multiple Myeloma ◽

Board Of Directors ◽

Research Funding ◽

Cell Leukemia ◽

Advisory Committees ◽

Tumor Mass ◽

Time Points ◽

Tumor Genome ◽

Time Point

Abstract Abstract 1923 Our understanding of the genetic abnormalities associated with the development of multiple myeloma has increased significantly in the last decade. However, very little is known about how, or if, myeloma tumor genomes change with time and if therapeutic interventions influence these events. To address these issues we studied a cohort of 29 patients for whom at least two serial samples (1-65 months, median 19 months) were available for analysis. Each serial pair was analyzed by both array-based comparative genomic hybridization (aCGH) and microarray gene expression profiling (GEP) to identify DNA copy number abnormalities (CNA) at a 25kb resolution and gene expression differences present in the bulk of the tumor mass. Though this does not address the intra-clonal heterogeneity that may exist at a given time point, it does answer if the bulk of the tumor mass is changing with time. This study has unearthed several surprising and clinically relevant findings. First, myeloma tumor genomes are not as unstable as previous cytogenetic analyses suggest. In 40% of patients we observed no detectable CNA changes (1-37 months, median 12 months). In 24% of patients we observed the exclusive acquisition of new CNA (1-12, median 3.5) (3-22 months, median 18 months). In 36% of patients we observed both the loss (1-20, median 3) and gain (1-33, median 21) of CNA (5-43 months, median 20 months). Because time was not a significant influence on the detection of stable or unstable genomes we compared CNA changes with TC class and found patients with the high-risk 4p16 and maf IgH translocations were over-represented in the latter subset of patients. These observations raise the question of what happens between multiple rounds of therapy and if different regimens influence these phenotypes differently. For two patients with no CNA changes between the first two time points there was an additional sample that extended the follow-up by 52 and 12 months. Again no CNA changes were seen between diagnosis and these final samples taken 63 and 50 months later. For one patient with CNA changes (5 shared, 29 lost, and 32 gained) we have a detailed time course of 5 samples from diagnosis through to end-stage plasma cell leukemia. This patient received continuous lenalidomide-dexamethasone (Rd) for 20 months and progessed with a clone containing a BIRC2/3 deletion, which activates the NFKB pathway. The patient received single agent PR-171 and a bortezomib containing regimen and unexpectedly, the tumor genome observed in the third sample was almost identical (32 shared, 2 lost, and 4 gained CNA) to the first time point, including two copies of BIRC2/3. Subsequently, the patient received melphalan-prednisone-bortezomib (MPV) and the tumor genome observed in the fourth and fifth samples, which were identical, were similar to that seen in the second sample (24 shared, 13 lost, and 39 gained CNA). To understand these observations better we performed FISH to ascertain if the observed clones were detectable earlier, albeit at a low frequency. These experiments proved that the two dominant subclones observed at time points 1 and 3 versus 2, 4, 5 were mutually exclusive at the single cell level. Moreover, both of these clones were detectable at diagnosis with 12% of the tumor mass being the second subclone that eventually evolved into plasma cell leukemia. Interestingly, we assayed 5 of the 39 unique CNA observed in the final two samples and only one, the 17p13 deletion, was detectable earlier. This suggests the MPV regimen effectively eliminated a clone that was previously sensitive to Rd and selected for a dramatically evolved subclone that was previously sensitive to two different proteasome inhibitors. Although it is clear that the high-risk patients are enriched in the subset with the most changes, it is not clear if the specific drugs used (Melphalan vs IMID vs proteasome inhibitor) or intervention strategy (Cycled vs continuous/maintenance) and perhaps the response achieved (PR vs CR) influences these events. These observations do highlight two important clinical concepts that need to be considered in the future. First, the meaning of a partial response needs further investigation as this may reflect effective elimination of one subclone but not another. Second, because some patients are not changing or can revert back to a previous subclone we need to consider re-chanllenging patients with previously effective regimens when patients progress. Disclosures: Fonseca: Genzyme: Consultancy; Medtronic: Consultancy; BMS: Consultancy; AMGEN: Consultancy; Otsuka: Consultancy; Celgene: Consultancy, Research Funding; Intellikine: Consultancy; Cylene: Research Funding; Onyx: Research Funding; FISH probes prognostication in myeloma: Patents & Royalties. Stewart:Millennium: Consultancy; Celgene: Honoraria. Bergsagel:Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; Millennium: Speakers Bureau; Novartis: Speakers Bureau.

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New US Myeloma Registry (Connect MM® – The Multiple Myeloma Disease Registry): Features of Newly Diagnosed Patients In 2010

Blood ◽

10.1182/blood.v116.21.5032.5032 ◽

2010 ◽

Vol 116 (21) ◽

pp. 5032-5032

Author(s):

Brian G. M. Durie ◽

Jatin J. Shah ◽

Rafat Abonour ◽

Cristina Gasperetto ◽

Jayesh Mehta ◽

...

Keyword(s):

Multiple Myeloma ◽

Board Of Directors ◽

Research Funding ◽

Staging System ◽

Bone Lesions ◽

Case Report Form ◽

Newly Diagnosed ◽

Community Based ◽

Advisory Committees ◽

Prior Therapy

Abstract Abstract 5032 Background: In the past decade, with the availability of novel therapies, the paradigm for myeloma management has changed. In 2010 it is especially important to understand baseline features and initial treatment decisions. The goal of the Connect MM® registry is to characterize patients with newly diagnosed active myeloma from 200 US sites. Approximately 80% of the patient population will be enrolled from community-based practices and 20% from academic centers. An electronic case report form was developed to collect clinical data, physician choices, patient health-related quality of life (HRQoL) and response, as well as data on survival end points. This is a prospective, observational, longitudinal study with a target accrual of 1,500 patients in 3 years, with a 5 year follow-up from the time of informed consent. There are no mandated treatments or clinical assessments. However, there are data collection requirements for diagnosis and disease monitoring. Results: Since late 2009, 340 patients from 135 sites have been accrued and were included in this interim analysis. Current study demographics include: 60% male, 83% white, and 14% black, with a median age of 67 years. Thus far, 97% have been enrolled from community-based practices. All patients met study enrollment criteria and had active myeloma at entry; prior monoclonal gammopathy of unknown significance (MGUS) was reported in 13% and smoldering MM in 8%. International Staging System (ISS) staging for evaluable patients were 26.3%, 36.4%, 37.3% for stages I, II, and III, respectively. Durie-Salmon Stage (A or B) were 13%, 35%, 52% for stages I, II, and III, respectively. Staging procedures included 82% skeletal survey; 44% computed tomography (CT); 40% magnetic resonance imaging (MRI); 7% positron emission tomography (PET); 2% PET/CT; and 4% had no imaging. International Myeloma Working Group (IMWG) CRAB criteria were assessed in all enrolled patients; 9% had hypercalcemia, 18% renal insufficiency, 36% anemia, and 66% had bone lesions. Median values were: calcium 9.5 mg/dL; serum creatinine 1.1 mg/dL; hemoglobin 10.9 gm/dL. Only 9% of patients had 3 or 4 CRAB features, while 49% had only 1 feature and 26% were asymptomatic (ECOG=0). The incidence of baseline peripheral neuropathy was 6%. Initial pain led to radiation therapy for 10% of patients, with 16% having vertebroplasty or kyphoplasty. Cytogenetic studies were performed at baseline in 64% of patients and fluorescence in situ hybridization (FISH) studies in 54%. Cytogenetics and FISH were normal in 27% of patients, while in 20% both were abnormal in patients who had both performed. FISH was abnormal with normal cytogenetics in 41% and only 2% had normal FISH but abnormal cytogenetics. The most common FISH abnormalities were: 13 q- (31%), 17 p- (28%), t(4; 14) (16%). Freelite® testing was performed in 56% of patients with an abnormal ratio in 94% [rFLC]. Of evaluable patients receiving frontline therapy 98% of patients received a novel agent and only 3 patients (1.4% of treated patients) received melphalan/prednisone. Two drug combinations were used in 53%, 3 drugs in 26%, 4 drugs in 1.3%, and single agents were used in 21% of the patients. The most common regimens were: bortezomib+dexamethasone (28%), lenalidomide+dexamethasone (20%), and bortezomib+lenalidomide+ dexamethasone (15%). Conclusion: These baseline features and treatment choices characterize myeloma patients primarily in community-based practices in the US in 2010. As academic centers enroll more patients, we will be able to further characterize that population. Of particular note, 26% of patients were asymptomatic at baseline but had biochemical evidence of myeloma and met enrollment criteria; conversely 95% had an abnormal rFLC and 73% had abnormal chromosome results. The Connect MM® registry will provide data regarding patient features as they pertain to patterns in testing and treatment in the clinical practice setting, as well as response and survival outcomes. Disclosures: Durie: Celgene & Millennium: Consultancy. Off Label Use: Revlimid (lenalidomide) in combination with dexamethasone is indicated for the treatment of multiple myeloma patients who have received at least one prior therapy. Shah:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millennium: Research Funding; Novartis: Research Funding. Abonour:Celgene & Millennium: Honoraria. Gasperetto:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Speakers Bureau. Mehta:Celgene: Consultancy, Speakers Bureau; Takeda/Millennium: Speakers Bureau; Onyx: Research Funding. Pashos:Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding. Toomey:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees. Swern:Celgene: Employment. Street:Celgene: Employment. Sullivan:Celgene: Employment, Equity Ownership. Rifkin:Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Speakers Bureau; Amgen: Speakers Bureau; Cephalon: Speakers Bureau; Dendreon: Speakers Bureau.

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The Ki67/CD138 Ratio Independently Predicts Overall Survival in the Upfront Treatment of Newly Diagnosed Multiple Myeloma

Blood ◽

10.1182/blood.v124.21.2016.2016 ◽

2014 ◽

Vol 124 (21) ◽

pp. 2016-2016

Author(s):

Tomer M Mark ◽

Peter Forsberg ◽

Ihsane Ouansafi ◽

Adriana C Rossi ◽

Roger N Pearse ◽

...

Keyword(s):

Multiple Myeloma ◽

Bone Marrow ◽

Overall Survival ◽

Board Of Directors ◽

Research Funding ◽

Complete Response ◽

Newly Diagnosed ◽

First Line ◽

Advisory Committees ◽

Line Therapy

Abstract Background: Assessment of malignant plasma cell cycling via plasma cell labeling index (PCLI) has been a validated prognostic tool in multiple myeloma (MM) but the test requires specialized technical expertise and is not widely available. Ki67 is a well-known protein marker of cellular proliferation on immunohistochemical (IHC) staining with prognostic utility in other malignancies. In an effort to develop a simpler system to provide analogous information to PCLI, we used a novel IHC co-staining technique for CD138 and Ki67 to quantify plasma cells in active cycling. We then performed a retrospective analysis of the ratio of Ki67/CD138 (Ki67%) in newly diagnosed patients with multiple myeloma receiving 1st-line therapy to correlate with clinical outcomes. Methods: A retrospective cohort study of patients (pts) with treated symptomatic MM was performed by interrogation of the clinical database at the Weill Cornell Medical College / New York Presbyterian Hospital. For inclusion in the analysis, subjects must have started first-line treatment in the period of 2005-2010, and had available bone marrow biopsies. Double-staining with Ki67 and CD138 was performed by IHC. The Ki67% was calculated as the percent of plasma cells expressing CD138 that were also found to express Ki67. Treatment outcomes were stratified and compared based on %Ki67. Response was determined by monthly serum protein electrophoresis / immunofixation (IFX) with free light chain analysis according to International Multiple Myeloma Working Group (IMWG) guidelines. Pts who were IFX negative but had no subsequent bone marrow biopsy were classified as being in unconfirmed complete remission. Results: We identified 151 patients with newly diagnosed MM and available %Ki67 expression who received first-line therapy over the period of 2005-2010. Patient were subdivided into two groups based on %Ki67: Low: %ki67 <= 5%, n = 87; and High: %Ki67 >5, n=64, to allow for comparison of treatment response and survival analysis. Specific therapeutic agent exposure history did not differ significantly between patients. Both groups had similar depth of response rates (ORR) to front-line therapy, Table 1. Median progression-free survival for the high versus low %Ki67 groups approached statistical significance at 54 months (95% CI 30.8,67.4) versus 26.9 months (95% CI 21.6,40.2), respectively (P = 0.083). At data cut-off, there were 30 deaths in the low %Ki67 group (1-yr OS 93%, 5-yr OS 71%) and 36 deaths in the high %Ki67 group (1-yr OS 94%, 5-yr OS 62%). Median overall survival (OS) was not reached for Ki67% <= 5% (95% CI 97.3,NR) vs. 78.9 months (95% CI 55.9,93.1) for Ki67% > 5%, (P = 0.0434), Figure 1. Multivariate cox regression for factors with influence on OS showed that only high-risk cytogenetics (HR 2.05, 95% CI 1.17, 2.92, P = 0.027), ISS (HR 1.835, 95% CI 1.33, 3.60, P = 0.000), and %Ki67 group status had an independent effect on survival outcome. Low (<=5%) versus high (>5%) %Ki67 influenced overall survival with a hazard ratio of 1.76 (CI 1.07,2.92, P = 0.027). Survival after ASCT was significantly longer in the low %Ki67 group with median OS not reached (95%CI, 97.3, NR) versus 86.9 months (95% CI 43.9, NR) for high %Ki67 group (P = 0.04). Discussion: The ratio of IHC double positive Ki67 and CD138 of > 5% is an independent prognostic marker for overall survival in newly diagnosed MM undergoing 1st line therapy. The %Ki67 serves as a simpler and widely available analog to PCLI that can be presently performed in most hematopathology laboratories. Table 1: First Line Treatment and Best Response (modified IMWG Criteria) Ki67% <= 5(N = 87)n (%) Ki67% > 5(N = 64)n (%) P Treatment Exposure* Lenalidomide 59 (67.8) 48 (75) 0.34 Thalidomide 30 (34.5) 14 (21.9) 0.09 Bortezomib 25 (28.7) 14 (21.9) 0.34 Alkylating agent 11 (12.6) 4 (6.3) 0.19 ASCT 27 (31) 22 (34.4) 0.66 Best Response Overall Response (>= Partial response) 77 (88.4) 57 (89.1) 0.41 Complete response 15 (17.2) 22 (34.4) Unconfirmed complete response** 14 (16.1) 8 (12.5) Very good partial response 23 (26.4) 15 (23.4) Partial response 25 (28.7) 12 (18.8) Stable disease 9 (10.3) 5 (7.8) Progressive disease 1 (1.2) 2 (3.1) * Percentages do not add to 100% due to instances of concurrent therapy use ** Unconfirmed complete response: immunofixation negative, but no confirmatory bone marrow biopsy available Figure 1 Overall Survival by %Ki67 Figure 1. Overall Survival by %Ki67 Disclosures Mark: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx: Research Funding, Speakers Bureau. Rossi:Celgene: Speakers Bureau. Pekle:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Perry:Celgene: Speakers Bureau. Coleman:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx: Honoraria. Niesvizky:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Millennium: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Onyx: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.

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