Towards a Network-Based Molecular Taxonomy of Newly Diagnosed Multiple Myeloma

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 840-840
Author(s):  
Alessandro Lagana ◽  
Ben Readhead ◽  
Deepak Perumal ◽  
Brian Kidd ◽  
Hearn Jay Cho ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Research Funding ◽  
Somatic Mutations ◽  
Molecular Taxonomy ◽  
Network Biology ◽  
Cellular Systems ◽  
Biological Processes ◽  
Institutional Research ◽  
Newly Diagnosed ◽  
Integrative Network

Abstract Recent advances in computational biology have led to the development of novel and sophisticated methods to model large datasets measured from complex organisms based on integrative network biology. Networks can provide valuable insight into key biological processes and allow for a deeper understanding of the complexity of cellular systems and disease mechanisms. We developed and applied a network biology approach to infer an improved molecular model and understanding of newly diagnosed multiple myeloma (MM). We constructed the first co-expression network of MM based on RNA-seq data from the current release (IA4) of the Multiple Myeloma Research Foundation (MMRF) CoMMpass Study dataset. The data set consists of 92 samples from newly diagnosed MM patients. Whole Exome Sequencing (WES) data available for 77 out of 92 samples allowed the integration of somatic mutations into the network. Our analysis organized 23,033 genes into 50 co-expression modules. We then evaluated the molecular activity of co-expression modules for concordance with molecular traits. We performed module enrichment analysis against Gene Ontology terms, pathways, chromosome locations, protein-protein interaction networks, MM-associated gene sets and drug-target databases. Analysis of the newly diagnosed multiple myeloma network model (MMNet) revealed known and novel molecular features of multiple myeloma. The integration of MMNet with somatic mutations data unveiled a significant association between mutation burden and the activation of several modules. Fundamental biological processes such as DNA repair, cell cycle, signal transduction, NK-kappaB cascade and MAPK signaling characterized such modules. Interestingly, a number of mutated genes demonstrated pluripotent associations with co-expression module activity. For example, FGFR3 was correlated with expression of several modules, including one enriched for RNA processing and translation-related processes and included the known MM-associated genes FRZB and CCND3. Similarly, the frequently mutated gene DIS3 was significantly associated to five different modules, including the translation-related module and a module enriched for the 1q locus. Our results have identified novel key driver genes that may inform therapy prioritization. The MMNet topology revealed a far greater molecular heterogeneity in primary MM underscoring opportunities to improve the molecular taxonomy of this disease. We identified several modules associating with previously described MM classes, including a module enriched for genes up regulated in the UAMS MS class characterized by spiked expression of WHSC1 and FGFR3. Module connectivity confirmed the central role of both genes, WHSC1 being the top hub gene, i.e. the most connected gene in the module, and FGFR3 being among the top 10 hubs. Consistent with previous findings, this module was characterized by negative correlation with aneuploidy. We found other modules enriched for genes dysregulated in other UAMS classes, such as MF, CD1 and CD2. We also identified several modules associating with relevant biological processes such as apoptosis, cell communication, Wnt and Toll-like receptor signaling. Correlation of modules expression with clinical traits identified insights into genetic subgroups of MM that are not previously described. For examples, we found a module positively correlated to the African American ethnicity. This module was also characterized by enrichment for genes in the fragile regions 5q31 and 6q21. These findings may provide important and exciting insights into the biology of MM among African Americans as they are at increased risk for MM. Our integrative network analysis of the CoMMpass dataset uncovers novel and complex patterns of genomic perturbation, key drivers and associations between clinical traits and genetic markers in newly diagnosed MM patients. Disclosures Chari: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Consultancy, Research Funding; Biotest: Other: Institutional Research Funding; Array Biopharma: Consultancy, Other: Institutional Research Funding, Research Funding; Novartis: Consultancy, Research Funding; Onyx: Consultancy, Research Funding. Jagannath:BMS: Honoraria; MERCK: Honoraria; Novartis Pharmaceuticals Corporation: Honoraria; Celgene: Honoraria; Janssen: Honoraria. Dudley:Ayasdi, Inc: Other: Equity; Personalis: Patents & Royalties; NuMedii, Inc: Patents & Royalties; GlaxoSmithKline: Consultancy; Janssen Pharmaceuticals: Consultancy; Ecoeos, Inc: Other: Equity.

scholarly journals Utilization of Autologous Stem Cell Transplantation in Older Patients with Newly Diagnosed Multiple Myeloma

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5701-5701
Author(s):  
Justin King ◽  
Mark A. Fiala ◽  
Scott R. Goldsmith ◽  
Keith E. Stockerl-Goldstein ◽  
Mark A. Schroeder ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Stem Cell ◽  
Older Patients ◽  
Research Funding ◽  
Small Sample ◽  
Poor Performance Status ◽  
High Dose ◽  
Cell Transplant ◽  
Newly Diagnosed ◽  
Equity Ownership

Historically, high-dose therapy in combination with autologous stem cell transplants (ASCT) for multiple myeloma (MM) was reserved for younger patients. In more recent years, the use of ASCT has expanded in the older population. However, there is still limited data on the utilization and efficacy of ASCT in older patients, particularly those over the age of 75. To further evaluate this issue, we retrospectively analyzed all patients with newly diagnosed MM between the ages of 75-78, the institutional cutoff for ASCT eligibility, that were referred to the stem cell transplant unit at our institution for consultation from the years 2012-2018. Baseline characteristics, anti-myeloma treatments, and patient outcomes were abstracted through chart review. Seventy-five patients were referred to our institution. 71% were male, 29% female. 39% patients were considered ineligible for ASCT by the consulting transplant physician. Most patients were considered transplant ineligible due to comorbidities or poor performance status. Of the 46 patients eligible for ASCT, 52% underwent the procedure during their first-line therapy. The majority of those patients received reduced intensity melphalan (140 mg/m2) while 2 patients received conventional dosing (200 mg/m2). The other 22 patients eligible for ASCT declined or elected to defer the procedure and to be treated with conventional therapy. The characteristics of these three groups were similar and are detailed in Table 1. After a median follow-up of 30 months, 25% of the patients had expired. Estimated median overall survival (OS) was 71.3 months (unable to quantitate 95% CI) for all patients. Compared to transplant eligible patients, regardless of transplant receipt, those who were transplant ineligible had a 186% increase risk for death (HR 2.86; 95% CI 1.12-7.35; p = 0.029). There was also a notable trend for longer OS in those who underwent ASCT compared to those who were eligible but declined the procedure, but it was not statistically significant (HR 0.36; 95% CI 0.10-1.28; p = 0.114). At a transplant center, two-thirds of patients referred for newly diagnosed MM between the ages 75-78 were considered eligible for ASCT and one-third underwent the procedure. Outcomes were better for patients eligible for ASCT, regardless of whether they underwent the procedure. There was also a trend for better OS in patients who underwent the procedure compared to those who declined. While small sample sizes and the retrospective nature of the study limit our ability to draw conclusions, it appears that ASCT has an OS benefit among patients age 75-78. Disclosures Fiala: Incyte: Research Funding. Stockerl-Goldstein:AbbVie: Equity Ownership; Abbott: Equity Ownership. Vij:Genentech: Honoraria; Janssen: Honoraria; Bristol-Myers Squibb: Honoraria, Research Funding; Sanofi: Honoraria; Karyopharm: Honoraria; Takeda: Honoraria, Research Funding; Celgene: Honoraria, Research Funding. Wildes:Janssen: Research Funding; Carevive: Consultancy.

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

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

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

scholarly journals The Necessary for Long-Term Follow-up of Mutated Genes and Clonal Evolutions in Multiple Myeloma Combined with cfDNA Assay

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 5515-5515
Author(s):  
Yuko Mishima ◽  
Yuji Mishima ◽  
Masahiro Yokoyama ◽  
Noriko Nishimura ◽  
Yoshiharu Kusano ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Genomic Dna ◽  
Research Funding ◽  
Somatic Mutations ◽  
Clinical Course ◽  
Bone Marrow Aspiration ◽  
Long Term Follow Up

Introduction)Somatic mutations in multiple myeloma (MM) are strongly related to the clinical outcome and clonal evolution over the clinical course, and are a major problem. From a clinical viewpoint, although numerous novel drugs have been utilized, achieving long-lasting and complete remission remains difficult. Recent studies have elucidated the mutated genes using next-generation sequencing, and have examined how clonal change can be acquired in myeloma. In this study, we traced the transition of the somatic mutations of bone marrow tumor cells in patients with MM over a long-term follow-up. Furthermore, we compared the somatic mutations found in serum cell-free DNA (cfDNA) and mutated genes obtained from bone marrow myeloma cells. Material and Methods)Patients diagnosed with multiple myeloma who provided written informed consent to participate in the study were enrolled. Patients were treated by immuno-chemotherapy with or without radiation between 2000 and 2017 at our institute. Bone marrow aspiration and biopsy were performed at the time of diagnosis and upon disease progression. Around the time of bone marrow aspiration, serum was obtained from a peripheral blood sample for cfDNA analysis. Myeloma cells were separated from bone marrow samples with MicroBeads of CD138 antibody and genomic DNA was extracted. The peripheral blood samples derived from myeloma patients. The cfDNA was extracted from the serum using a Maxwell RSC cfDNA Plasma kit. Using genomic DNA derived from cfDNA and bone marrow, multiplex polymerase chain reaction (PCR) was performed, and a sequence library was then constructed with an Ion Custom Amplicon panel. The panel for the sequence library was designed using an Ion AmpliSeq DesignerTM. 126 targeted genes were selected. The genomes were sequenced using the Ion ProtonTM System. This protocol was approved by the institutional review board and the Genomic Review Board of the Japanese Foundation for Cancer Research. Result)We followed 7 patients' long term-clinical course and the transition of mutations (8.5 year average). The expression of myeloma driver genes, such as RAS, BRAF, and MYC, were not critical. We did, however, detect a relationship between an increase in the dominant mutated gene, such as TP53, DIS3, FAM46C, KDM6B, and EGR1 and poor prognosis in patients with myeloma. Next, we calculated the cfDNA concentrations from 34 cases. The cfDNA concentrations were significantly higher than 10 control cases (average 62.0 ng/mL (0-200 ng/mL) and 8.18 ng/mL (4.3-14.1 ng/mL), P=0.0046). The 2.5 year-progression free survival (PFS) during the first treatment of MM were tend to be poorer in the group with cfDNA>50 ng/mL (72.9%) than the group with cfDNA<50 ng/mL(25.9%), however there are no statistical significance (P = 0.15).We caluculated concordance rate of derived mutations from bone marrow MM cells and cfDNA in 7 cases. The somatic mutations found in serum cell-free DNA (cfDNA) and bone marrow MM cells were determined the correlation coefficients. However, there are few difference expression pattern in each source. In cfDNA assay, CREEP, EGR1, HDAC4, HDAC6, and JMJD1C were highly expressed as 57.1% (4/7) - 85.7% (6/7), and these results were almost the same as those for bone marrow MM cells. On the other hand, KDM1A (85.7%), PI3KCD (71.4%), and KDM3B (57.1%) were highly detected in cfDNA, although those were not frequently expressed in bone marrow. Discussion)Our data demonstrate the importance of the long-term follow-up of somatic mutations during the clinical course of myeloma. Serum cfDNA is a useful alternative source for detecting somatic mutations in MM patients during long-term follow-up. Disclosures Mishima: Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy. Yokoyama:Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy. Nishimura:Chugai-Roche Pharmaceuticals Co.,Ltd.: Consultancy; Celgene K.K.: Honoraria. Hatake:Celgene K.K.: Research Funding; Janssen Pharmaceutical K.K.: Research Funding; Takeda Pharmaceutical Co.,Ltd.: Honoraria. Terui:Bristol-Myers Squibb K.K.: Research Funding; Bristol-Myers Squibb, Celgene, Janssen, Takeda, MSD, Eisai, Ono, and Chugai-Roche Pharmaceuticals Co.,Ltd.: Honoraria.

scholarly journals Metaphase Cytogenetics for Risk Stratification in Newly Diagnosed Multiple Myeloma

Blood ◽  
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.

Chromosome 1q Amplification Is Associated with a History of Prior Malignancies Among Patients Newly Diagnosed with Multiple Myeloma

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2193-2193
Author(s):  
Elizabeth B Lamont ◽  
Andrew J. Yee ◽  
Stuart L. Goldberg ◽  
Andrew D Norden
Keyword(s):  
Prostate Cancer ◽  
Multiple Myeloma ◽  
Clinical Trials ◽  
Usual Care ◽  
Real World ◽  
Research Funding ◽  
Newly Diagnosed ◽  
History Of ◽  
Equity Ownership ◽  
Prior Malignancy

Background: Over the past 20 years, observational data from usual care clinical oncology settings has been leveraged to inform estimates of cancer treatment-associated benefits and risks among patients not treated on clinical trials. Increasing genomic testing to inform treatment decisions in usual care settings now meaningfully augments traditional observational data, positioning it to provide insights beyond clinical care into tumor biology. We studied patients with newly diagnosed multiple myeloma (MM), comparing cytogenetic test patterns according to history of prior malignancy. Methods: In this retrospective cohort study, we identified 2,380 patients from the COTA real-world database (RWD) who were newly diagnosed with MM in the years 2010-2018. The COTA RWD is a de-identified composite of both abstracted electronic health record and administrative data pertaining to patients receiving their cancer care at one of COTA's clinical oncology practice partners. Among these patients, 1769 (74%) had evidence of MM-associated cytogenetic testing with fluorescent in-situ hybridization (FISH) within the 120 days surrounding their date of diagnosis. The 1,769 patients form the analytic cohort. We compared patients' FISH results for t(4;14), deletion(17p), t(14;16), deletion(13), t(14;20), t(6;14), t(11;14), deletion (1p), and amplification(1q) according to their history of prior malignancy. Results: Within the cohort, 263 prior malignancies were identified in 241 patients (14%, 241/1,769). Two-hundred and twenty-one patients (92%) had one prior malignancy, 28 (7.9%) had two prior malignancies, and one (<1%) had four prior malignancies. The most common prior malignancies were prostate (n=50), breast (n=19), melanoma (n=14), skin (n=13), and cervix (n=6). Amplification of the long arm of chromosome one (amp(1q)) was noted in 31% of patients (75/241) with a prior malignancy vs. 24% of patients (370/1,528) without (chi2 test p=0.02). Overall 25% of patients had amp(1q). No other translocations, amplifications, deletions were associated with prior cancers. A non-parametric test for trend revealed a strong positive association between patients' malignancy count (range 0-4) and amp1q (p<0.01). MM patients with prior lymphomas and prior melanomas also had high rates of amp(1q), though these were not significantly different from patients without these prior malignancies. In a multivariable logistic regression model that adjusted for patient demographic attributes, other known potentially collinear MM poor prognostic factors (i.e., revised ISS stage, IgA sub-type, lambda light chains) and adjusted standard errors for clustering of patients within treatment settings, a history of prostate cancer remained clinically and statistically significantly positively associated with amp(1q) (OR 2.1, 95% CI: 1.9-2.2) as did history of two or more prior malignancies (OR 2.8, 95% CI: 2.3-3.3). Of note, amp(1q) was positively associated with IgA subtype (OR 1.5, 95% CI: 1.3-1.6) and the presence of lambda subtype (OR 1.3, 95%CI: 1.3-1.4). Conclusions: Using RWD, we found that newly diagnosed MM patients with histories of prostate cancer and those with two or more prior malignancies were more likely to have amp(1q), a poor prognostic marker in MM. Gains in 1q have previously been identified among patients with prostate and lymphoid cancers, but to our knowledge this is the first study to identify an association with a prior history of cancer, especially prostate cancer, and amp(1q) in MM. This relationship is worth further exploration of whether there is a common pathway associated with for example risk of prostate cancer and amp(1q) in MM. Clinical trials are less likely to answer this question as patients with prior malignancies are often excluded from enrollment. Overall, the results reported suggest that RWD is an efficient and comparatively inexpensive tool to support research in cancer biology through hypothesis generating and testing analyses of linked real-world phenotypic and genotypic data. Disclosures Lamont: COTA: Employment. Yee:Celgene: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Takeda: Consultancy; Adaptive: Consultancy; Amgen: Consultancy, Honoraria. Goldberg:Cancer Outcomes Tracking and Analysis (COTA) Inc.: Equity Ownership; COTA: Equity Ownership; Bristol-Myers Squibb: Consultancy. Norden:COTA: Employment, Equity Ownership.

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

Blood ◽  
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.

Bendamustine, Bortezomib and Dexamethasone (BBD) As First-Line Treatment of Patients with Multiple Myeloma Who Are Not Candidates for High Dose Chemotherapy: Toxicity Comparison of Two Dose Schedules

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4047-4047 ◽  
Author(s):  
Jesus G. Berdeja ◽  
Michael R. Savona ◽  
James Essell ◽  
Patrick Murphy ◽  
Luis Chu ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Herpes Zoster ◽  
Research Funding ◽  
High Dose Chemotherapy ◽  
High Dose ◽  
Newly Diagnosed ◽  
Off Label Use ◽  
First Line ◽  
Off Label ◽  
Grade 3

Abstract Abstract 4047 Background: Despite significant advances, multiple myeloma is an incurable plasma cell disorder with an eventual fatal outcome. In newly diagnosed MM, combinations of bortezomib, steroids and alkylating agents, such as melphalan and prednisone, have achieved response rates in excess of 70% and have been established as a standard of care in patients (pts) who are ineligible for high dose chemotherapy. Bendamustine is a bi-functional alkylating agent with a purine-like benzimidazole ring effective as a single agent and in various combinations for the treatment of relapsed/refractory MM (Poenisch et al, 2007, Fenk et al, 2007). In this study, the combination of bendamustine, bortezomib and dexamethasone (BBD) was evaluated as a first-line therapy for patients with MM. Methods: Patients with newly diagnosed active multiple myeloma who were not candidates for high-dose chemotherapy and met standard eligibility criteria with regards to renal, hepatic and hematologic function were enrolled. The original treatment schema (schema A) consisted of: bendamustine 80 mg/m2 IV on days 1, 4; bortezomib 1.3 mg/m2 IV on days 1, 4, 8, 11; and dexamethasone 40 mg on days 1, 2, 3, 4 with cycles repeating every 28 days. Patients had the option to continue on maintenance bortezomib. An interim analysis found this combination to be efficacious but relatively toxic. As a result the treatment schema was amended to the following (schema B): bendamustine 80 mg/m2 IV on days 1, 2; bortezomib 1.3 mg/m2 IV on days 1, 8, 15; and dexamethasone 20 mg on days 1, 2, 8, 9, 15, 16 every 28 days for a total of 8 cycles or 2 cycles beyond documented CR, whichever occurred first. Again, patients had the option to continue maintenance bortezamib. Acyclovir or equivalent viral prophylaxis was recommended on schema A and became required on schema B. Responses were assessed using the IMWG criteria. AEs were assessed using the CTCAE Version 4.0. We report the results of an interim safety assessment of the amended BBD combination and compare the results to those seen with the original regimen. Results: Treatment schema A accrued 18 patients between 5/2010 and 2/2011. Ten patients were accrued from 10/2011 and 4/2012 and treated on treatment schema B. The median ages of treatment schemas A and B were 75 and 72.5 respectively, with all other characteristics within expected distributions and no major differences between the groups. No grades 4 hematologic Adverse Events (AEs) were seen. Grade 3 hematologic AEs were similar in both arms seen in 33% of patients on treatment schema A and 40% of patients on treatment schema B. Grade 3/4 non-hematologic AEs were seen in 72% of patients on treatment schema A and 60% of patients on treatment schema B. Although the preliminary Serious Adverse Events (SAEs) were similar with 39% of patients on treatment schema A compared to 30% of patients on treatment schema B, a large proportion of patients on treatment schema A (39%) were unable to complete the study due to toxicity or related issues. The incidence and severity of neuropathy and herpes zoster infections were significantly different between the two schemas. Schema A had 72% of patients with any grade neuropathy, with 56% being grade 2 or worse while schema B had 40% of the patients with any grade neuropathy, all but one grade 1. Likewise, 44% of patients on the original treatment reported herpes zoster while there were no cases of herpes zoster reported for patients on the revised treatment schema. Thus far, the early response rates appear similar. Schema A had an ORR of 78% (56% >vgPR) while schema B had an ORR of 90% (40% >vgPR). Conclusions: The combination of bendamustine, bortezomib and dexamethasone is feasible and efficacious in an elderly patient population. Using the revised schema, we were able to lower treatment toxicity without adversely impacting initial efficacy. Updated results will be presented at the meeting. Disclosures: Off Label Use: Off-label use of Bendamustine in the treatment of Multiple Myeloma. Chu:Millennium: Research Funding; Cephalon: Research Funding.

Identification Of Novel Alternative Splice Variants Of Sirtuins In Multiple Myeloma: Therapeutic Implications

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3121-3121
Author(s):  
Antonia Cagnetta ◽  
Michele Cea ◽  
Sophia Adamia ◽  
Yu-Tzu Tai ◽  
Teru Hideshima ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Cell Lines ◽  
Splice Variants ◽  
Expression Patterns ◽  
Critical Role ◽  
Sequencing Analysis ◽  
Biological Processes ◽  
Newly Diagnosed ◽  
Cloning And Sequencing ◽  
Aberrant Expression

Abstract Background Alternative splicing (AS) is a normal epigenetic event with a critical role in the regulation of gene expression. Previous studies showed increased AS in Multiple Myeloma (MM) cells, suggesting the need to assess both expression level of genes and post translational modifications, mediating overall gene function. The NAD-dependent deacetylases Sirtuins (SIRTs), mammalian homologues of the yeast Sir2, modulate various biological processes including metabolism, cell survival, development, chromatin dynamics, or DNA repair. Recent microarray profiling data using newly diagnosed patients with MM, suggests clinical relevance of such deacetylases since their level predicts for both progression free and overall survival. Among SIRTs family membersSIRT-5, SIRT-6 and SIRT-7 transcript levels positively correlated with disease progression (from MGUS to active MM). These studies provide the rationale for further examining the biological processes including epigenetic changes, mutations, or AS events that contribute to aberrant expression of SIRTs in MM. Methods Purified RNA from MM cell lines, newly diagnosed MM patient cells, as well as peripheral blood mononuclear cells (PBMCs) from normal healthy donors was subjected to SIRT expression analysis. Specifically, SIRTs-specific primers were developed and optimized using standard RT-PCR conditions. RNA integrity was confirmed using Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) as an endogenous control. Aberrant splicing of SIRT-5, SIRT-6, and SIRT-7 was confirmed by cloning and sequencing, followed by analysis of their expression patterns in MM patients versus normal PBMCs. Results We found that SIRTs genes are frequently miss-spliced in MM patients. To our knowledge, this is the first report showing SIRTs miss-splicing event in MM. Through cloning and sequencing analysis, we identified novel spliced isoforms of SIRT-5, SIRT-6 and SIRT-7; these occurred as a result of aberrant AS within exon-12, exon-4 and and exon-5, respectively. Specifically, exon skipping was noted in SIRT-6 and SIRT-7 variants, via cryptic 5 prime or 3 prime splice sites on exon 12 and/or through partial retention of an intron created SIRT-5 variants. The novel spliced forms were widely expressed in MM cell lines and primary cells, without significance occurrence in normal PBMCs. Our preliminary data show that even though these novel isoforms exhibit reduced deacetylase activity versus full-length variants, this characteristic may impart distinct functional outcome. Finally, in support of above studies, our analysis of MM patient samples suggest that AS among SIRTs is associated with poor clinical outcome in MM patients. Conclusion In the current study, we have identified novel transcript variants of SIRT-5, SIRT-6 and SIRT-7 in MM cells. These aberrant isoforms allow for generating transcripts that encode for dysfunctional proteins, which in turn, may contribute to the genetic heterogeneity in MM. Ongoing studies are delineating the function of these newly identified splice variants of SIRTs and their association with MM progression. Overall, our studies will provide basis for utilizing SIRTs variants as prognostic markers and/or as novel therapeutic targets in MM. Disclosures: Hideshima: Acetylon Pharmaceuticals: Consultancy. Chauhan:Vivolux: Consultancy.

Interim Analysis Of The Mmrf Commpass Trial, a Longitudinal Study In Multiple Myeloma Relating Clinical Outcomes To Genomic and Immunophenotypic Profiles

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 532-532 ◽  
Author(s):  
Jonathan J Keats ◽  
David W Craig ◽  
Winnie Liang ◽  
Yellapantula Venkata ◽  
Ahmet Kurdoglu ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Personalized Medicine ◽  
Interim Analysis ◽  
Research Funding ◽  
Residual Disease ◽  
Fusion Gene ◽  
Eligible Patient ◽  
Comprehensive Analysis ◽  
Newly Diagnosed ◽  
Fusion Transcripts

Abstract The Multiple Myeloma Research Foundation (MMRF) CoMMpass trial is the cornerstone of the MMRF Personalized Medicine Initiative. The accrual goal is 1000 patients with newly-diagnosed active multiple with sufficient tumor material for the comprehensive analysis of each tumor genome. Each eligible patient will be followed from initial diagnosis longitudinally for a minimum of 8 years. Additional tumor samples will be collected and comprehensively analyzed when possible for each patient at time of suspect CR, recurrence or progression of disease. The clinical study (NCT0145429) opened in July 2011 and now includes 56 sites in the US and Canada that have enrolled over 300 patients as of Aug. 1, 2013. The frontline treatments permitted in this study include current standard of care therapies containing a proteasome inhibitor, an IMiD or both. The comprehensive analysis of each tumor and matched normal genome involves; Long-Insert Whole Genome Sequencing (WGS) to identify somatic copy number alterations and structural changes, Whole Exome Sequencing (WES) to identify somatic single nucleotide variants and indels, and RNA sequencing (RNAseq) to define transcript expression levels and fusion transcripts. In addition, BRAF pyrosequencing and immunophenotyping analysis are being done in CAP-CLIA certified labs. An extensive, open-access, public clinical and molecular database, the CoMMpass Researcher Gateway (RG) (https://research.themmrf.org), is being developed to facilitate the rapid dissemination of the results and provides the myeloma community with a mechanism to analyze the results. The clinical endpoints and outcomes also include Quality of Life measures and health care resource utilization. An initial interim analysis on the first 178 cases has just been completed and made publicly available through the CoMMpass RG. At the molecular level, BRAF analysis on this serial sample set of newly diagnosed patients identified V600E mutations at rate of 5.7%, confirming our previous observations from a mixture of non-consecutive treated and untreated patient samples in our previous genomic efforts. The flow cytometry panel was designed to provide a comprehensive immunofingerprint of each patient that could be used for minimal residual disease monitoring and to monitor potentially therapeutic options; MS4A1/CD20, CD52, KIT/CD117, and FGFR3. These studies have identified tumors which are 100% positive for these actionable antigens at frequencies of; 16.0% for CD20, 5.7% for CD52, 49.7% for CD117, and 8.5% for FGFR3. Of the 178 cases, 34 were profiled through WGS, WES and RNAseq before this interim analysis. We identified 553 variants (median 19 per patient, range 11-55) were the variant allele detected by WES was also detected by RNAseq, suggesting the variant is potentially biologically relevant. Of these genes, 36 were seen more than once and 7 were identified in three or more patients. This includes NRAS (23.5%), KRAS (14.7%), BRAF (8.8%), DIS3 (8.8%), FAM46C (8.8%), TRAF3 (8.8%), and ZNF100 (8.8%). Interestingly, all three ZNF100 variants show preferential expression of the mutant allele. Within this cohort the only recurrent fusion gene identified is the classic IgH-MMSET fusion transcripts associate with t(4;14). The MMRF CoMMpass is providing unprecedented molecular characterization and correlating clinical datasets that will help define the determinants of response to anti-myeloma agents, reveal new, actionable targets and/or those shared with other cancers and facilitate future clinical trial designs, thus serving as a stepping stone toward personalized medicine for myeloma patients. Disclosures: Auclair: MMRC: Employment. Harrison:MMRC: Employment. Jagannath:Celgene: Honoraria; Millennium: Honoraria. Siegel:Celgene: Honoraria, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria, Speakers Bureau. Vij:Celgene: Honoraria, Research Funding, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria, Research Funding, Speakers Bureau. Zimmerman:Celgene: Honoraria; Millenium: Honoraria; Onyx: Honoraria. Capone:MMRC: Employment. Lonial:Millennium: Consultancy; Celgene: Consultancy; Novartis: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Onyx: Consultancy.

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

Blood ◽  
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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