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Dispenzieri, Angela

https://orcid.org/0000-0001-8780-9512

Mayo Clinic

Mayo Clinic

Citations 1052

Utility of serum free light chain ratio in response definition in patients with multiple myeloma
Abdallah, Nadine , Kapoor, Prashant , Murray, David , Buadi, Francis K. , Dingli, David , Gertz, Morie A. , Hayman, Suzanne R. , Kourelis, Taxiarchis , Lacy, Martha Q. , Lust, John A., Muchtar, Eli , Warsame, Rahma , Kyle, Robert A. , Kumar, Shaji , Gertz, Morie A , Muchtar, E , Buadi, Francis K , Dingli, David , Dispenzieri, Angela , Go, Ronald S. , Gonsalves, Wilson I. , Leung, Nelson , Rajkumar, S. Vincent

Blood Advances | January 24, 2020 | Volume: 4 | Issue: 2 | Pages: 322-326

10.1182/bloodadvances.2019001099 Get It

Key PointsPatients with an abnormal sFLC ratio because of LC suppression have outcomes similar to those with a normal ratio. sFLC ratio has prognostic value in patients achieving CR who have an absence of clonal BMPCs assessed by MFC.
The use of PROMIS patient-reported outcomes (PROs) to inform light chain (AL) amyloid disease severity at diagnosis
D’Souza, Anita , Magnus, Brooke E. , Myers, Judith, D'Souza, Anita , Dispenzieri, Angela , Flynn, Kathryn E.

Amyloid | January 23, 2020 | Volume: 27 | Issue: 2 | Pages: 111-118

10.1080/13506129.2020.1713743 Get It

Enhancing the R‐ISS classification of newly diagnosed multiple myeloma by quantifying circulating clonal plasma cells
Gonsalves, Wilson I. , Jevremović, Dragan , Nandakumar, Bharat , Dingli, David , Lacy, Martha Q. , Hayman, Suzanne R. , Kapoor, Prashant , Leung, Nelson , Fonder, Amie , Hobbs, Miriam, Hwa, Yi L. , Muchtar, Eli , Warsame, Rahma , Kourelis, Taxiarchis , Russell, Stephen J. , Lust, John A., Lin, Yi , Siddiqui, Mustaqeem , Kyle, Robert A. , Kumar, Shaji , Dispenzieri, Angela , Leung, Nelson , Hwa, Yi Lisa, Warsame, Rahma , Kourelis, Taxiarchis , Russell, Stephen, Siddiqui, Mustaqeem A, Gertz, Morie A , Rajkumar, S Vincent , Muchtar, E , Gonsalves, Wilson , Russell, Stephen J , Jevremovic, Dragan , Siddiqui, Mustaqeem A , Dingli, David , Lin, Yi , Dispenzieri, Angela , Buadi, Francis K. , Go, Ronald S. , Gertz, Morie A. , Rajkumar, S. Vincent

American Journal of Hematology | December 23, 2019 | Volume: 95 | Issue: 3 | Pages: 310-315

10.1002/ajh.25709 Get It

AbstractOur prior studies identified the prognostic significance of quantifying cPCs by multiparametric flow cytometry (MFC) in newly diagnosed multiple myeloma (NDMM) patients. We evaluated if a similar quantification of cPCs could add prognostic value to the current R‐ISS classification of 556 consecutive NDMM patients seen at the Mayo Clinic, Rochester from 2009 to 2017. Those patients that had ≥5 cPCs/μL and either R‐ISS stage I or stage II disease were re‐classified as R‐ISS IIB stage for the purposes of this study. The median time to next therapy (TTNT) and overall survival (OS) for patients with ≥5 cPCs/μL at diagnosis was as follows: R‐ISS I (N = 110) ‐ 40 months and not reached; R‐ISS II (N = 69) ‐ 30 and 72 months; R‐ISS IIB (N = 96) ‐ 21 and 45 months and R‐ISS III (N = 281) ‐ 20 and 47 months respectively. Finally, ≥ 5 cPCs/μL retained its adverse prognostic significance in a multivariable model for TTNT and OS. Hence, quantifying cPCs by MFC can potentially enhance the R‐ISS classification of a subset of NDMM patients with stage I and II disease by identifying those patients with a worse than expected survival outcome.
Impact of MYD88L265P mutation status on histological transformation of Waldenström Macroglobulinemia
Zanwar, Saurabh , Abeykoon, Jithma P. , Durot, Éric , King, Rebecca L. , Burbano, Gabriela E. Perez, Kumar, Shaji , Gertz, Morie A. , Quinquenel, Anne , Gonsalves, Wilson I. , Cornillet‐Lefèbvre, Pascale , He, Rong , Warsame, Rahma , Novak, Anne J. , Greipp, Patricia T. , Inwards, David J. , Micallef, Ivana N. , Muchtar, Eli , Kourelis, Taxiarchis , Lacy, Martha Q. , Dingli, David , Nowakowski, Grzegorz S. , Thompson, Carrie A. , Johnston, Patrick B. , Thanarajasingam, Gita , Lin, Yi , Kyle, Robert A. , Ansell, Stephen M. , Kapoor, Prashant , Perez Burbano, Gabriela E, Gonsalves, Wilson , Warsame, Rahma , Inwards, David, Micallef, Ivana, Kourelis, Taxiarchis , Dispenzieri, Angela , Witzig, T.E. , Villasboas, Jose, Leung, Nelson , Rajkumar, S Vincent , Ansell, Stephen M , Kapoor, Prashant , Gertz, Morie A , Muchtar, E , Dingli, David , Greipp, Patricia T , Lin, Yi , Quinquenel, Anne , Burbano, Gabriela Perez , Delmer, Alain , Buadi, Francis K. , Habermann, Thomas M. , Go, Ronald S. , Dispenzieri, Angela , Bennani, N. Nora , Witzig, Thomas E. , Villasboas, José C. , Leung, Nelson , Rajkumar, S. Vincent , Le‐Rademacher, Jennifer

American Journal of Hematology | December 9, 2019 | Volume: 95 | Issue: 3 | Pages: 274-281

10.1002/ajh.25697 Get It

AbstractHistological transformation in Waldenström macroglobulinemia (WM) is an uncommon complication, with limited data, particularly regarding the impact of MYD88 L265P mutation on transformation. We examined risk factors and outcomes associated with transformation in WM, highlighting the role of MYD88 L265P mutation. Patients with WM seen at Mayo Clinic, Rochester, USA and University Hospital of Reims, France, between 01/01/1996 and December 31, 2017 were included; 50 (4.3%) of 1147 patients transformed to a high‐grade lymphoma, with median time‐to‐transformation of 4.5 (range 0‐21) years in the transformed cohort. The MYD88 L265P mutation status was known in 435/1147 (38%) patients (406 with non‐transformed WM and 29 patients in transformed cohort). On multivariate analysis, MYD88 WT status alone was an independent predictor of transformation (odds ratio, 7[95%CI: 2.1‐23]; P = .003). Additionally, the MYD88 WT status was independently associated with shorter time‐to‐transformation (HR 7.9 [95%CI: 2.3‐27; P = .001]), with a 5‐year transformation rate of 16% for MYD88 WT vs 2.8% with MYD88 L265P mutated patients. Patients with transformation demonstrated a significant increase in risk of death compared to patients who did not transform (HR 5.075; 95%CI: 3.8‐6.8; P < .001). In conclusion, the MYD88 WT status is an independent predictor of transformation and associated with a shorter time‐to‐transformation. Additionally, transformation conferred an inferior overall survival in patients with WM.
High Sensitivity Detection of Malignant-Specific M-Proteins Using Mass Spectrometry
Murray, David , Mills, John R. , Katzmann, Jerry A., Kyle, Robert A. , Barnidge, David R. , Rajkumar, S. Vincent , Dispenzieri, Angela

Blood | November 18, 2019 | Volume: 124 | Issue: 21 | Pages: 3419-3419

10.1182/blood.v124.21.3419.3419 Get It

Abstract Detection of an M-protein (monoclonal immunoglobulin) has been used to diagnose and monitor multiple myeloma (MM). As therapies for MM have improved, more sensitive methods have been used to define response: immunofixation electrophoresis (IFX) of serum and urine, normalization of the serum immunoglobulin free light chain (FLC) ratio, and high sensitivity flow cytometry to detect clonal plasma bone marrow cells. It is hoped that these more sensitive approaches will differentiate those patients with minimal residual disease (MRD) versus no residual disease (NRD), that later which could mean a cure. Flow cytometry of plasma cells requires bone marrow aspiration, which is inconvenient and expensive and is potentially limited by sampling bias. More sensitive methods to differentiate MRD from NRD using serum would be advantageous. We have developed a sensitive test for the presence of the monoclonal antibody produced by the plasma cells which may serve as a substitute for invasive bone marrow biopsy. Briefly, patient serum is enriched for immunoglobulins (Ig) and the Ig light chains are decoupled from the heavy chain by reduction with DTT. The mass distribution of the light chains is resolved using a micro LC-ESI-Q-TOF mass spectrometry and the presence of the M-protein is detected as a spike in the mass distribution. In addition to the detection, the accurate mass measurement of the light chain serves as a unique individualized marker which can aid in detection in subsequent patient monitoring. We have termed this method: monoclonal-immunoglobulin-Rapid-Accurate-Mass-Measurement (miRAMM). By spiking monoclonal immunoglobulins into human serum, we have demonstrated that miRAMM is approximately 1000x more sensitive than SPEP at detecting M-proteins. Initial results on 21 patients in stringent complete response (sCR) demonstrated that 67% (n=14) had detectable malignant specific clones by miRAMM. Given these promising results we have extended the method to a larger series of myeloma patients for whom we had long term follow-up and serum samples prior to treatment and at 6-12 months status post stem cell treatment. The results of this data will be correlated to the clinical outcomes for these patients. Early results demonstrate the potential of miRAMM to be a more sensitive, cost effective approach to detect MRD compared with current methods. Disclosures Murray: Mayo Clinic: Patent Application filed Patents & Royalties. Barnidge:Mayo Clinic: Patent filed Patents & Royalties.
Utility of Serum Free Light Chain Measurements in Multiple Myeloma Patients Not Achieving Complete Response
Lacy, Martha Q. , Kapoor, Prashant , Hayman, Suzanne R. , Kyle, Robert A. , Kumar, Shaji , Moustafa, Muhamad Alhaj , Rajkumar, S. Vincent , Dispenzieri, Angela , Buadi, Francis K. , Gertz, Morie A. , Dingli, David

Blood | November 17, 2019 | Volume: 124 | Issue: 21 | Pages: 3427-3427

10.1182/blood.v124.21.3427.3427 Get It

Abstract Background: Normalization of serum free light chain ratio (FLCr) following achievement of a complete response (CR) to therapy denotes a stringent CR in multiple myeloma, and is associated with improved overall survival (OS). However, its value in patients achieving less than a CR is not clear. We hypothesized that patients in whom FLCr normalizes with the initial anti-myeloma therapy will have an improved outcome, even in the absence of a CR. Methods: We analyzed the medical records of patients with MM who were evaluated at Mayo Clinic, Rochester, MN between January 2004 and December 2011, seen within 90 days of diagnosis. We selected patients with measurable disease on serum protein electrophoresis, defined as a serum M-spike ≥1 g/dl at the time of diagnosis. Then, we excluded all patients with negative immunofixation for monoclonal M-protein in serum and urine at their first response as well as those who did not have serum FLC results available from the time of their first best response. M protein measurements were collected serially from the time of diagnosis until the time of the first relapse or last follow up date if no relapse was recorded. Progression-free survival (PFS) and OS were analyzed using the Kaplan-Meier method. Results: Out of the 1354 MM patients seen at our institution during this period, a total of 453 patients were included in our study. The median age of the cohort at the time of diagnosis was 65 (range, 29-91); 49% were older than 65 years and 284 (63%) were male. The estimated median follow up for the whole cohort was 66 months (95% CI; 61, 71); 241 patients were alive with a median follow up of 4.7 years (range, 0.4 to 10). Three hundred and seventy three (82%) patients had relapsed following the initial therapy with a median time to progression (TTP) of 19.5 months (95% CI; 18, 22) and PFS of 19 months (95% CI; 17, 20). The median OS for the entire cohort is 67 months (95% CI; 59, 73). The median time to the best first response was 6.9 months (range: 0.3-83 months). At the time of the best first response 154 patients (34%) had normal FLCr. Patients with normal FLCr had a longer PFS (29 vs. 16 months, P< .0001) and OS (91 vs. 58 months, P= .0002). We then examined the impact of FLCr normalization on survival outcomes according to their IMWG response categories. We found that FLCr normalization had a favorable impact on PFS in each of the three groups [very good partial response (VGPR), Partial response (PR), and Stable disease (SD)], However, when looking at the OS, only patients with PR had a better OS associated with a normal sFLC κ/λ ratio (Table 1). Conclusions: Obtaining a normal sFLC ratio appears to confer a more favorable prognosis irrespective of the depth of the response, suggesting an important role for serial-sFLC measurements in disease monitoring even in patients who achieve only a PR to therapy as their best response. This supports the inclusion of sFLC at all levels of response included in the current International Myeloma Working Group (IMWG) criteria. Abstract 3427. Table 1 Effect of FLCr normalization according to IMWG response categories SD PR VGPR Normal FLCr Abnormal FLCr p-value Normal FLCr Abnormal FLCr p-value Normal FLCr Abnormal FLCr p-value Number of patients 7 70 62 157 85 60 PFS, month, median (95% CI) 27 (14, 36) 7 (5, 12) < .02 26 (20, 36) 17 (13, 20) .0005 29 (23, 32) 21 (18, 26) .03 OS, months, median (95% CI) 68 (49, 68) 41 (31, 61) > .1 NR (65, NR) 61 (50, NR) .004 74 (67, 107) 73 (59, NR) > .9 • Abbreviations: NR; statistically not reached •• Progressive disease (PD) was not included because none of the 12 patients achieved a normal FLCr. Disclosures No relevant conflicts of interest to declare.
Quality of Life and Outcomes in Multiple Myeloma Patients
Kochuparambil, Samith T. , Thompson, Carrie A. , Lacy, Martha Q. , Kapoor, Prashant , Hayman, Suzanne R. , Hwa, Yi L. , Case, Jane K., Kumar, Shaji , Paul, Shilpa , Shanafelt, Tait D. , Buadi, Francis K. , Gertz, Morie A. , Dispenzieri, Angela , Dingli, David , Rajkumar, S. Vincent

Blood | November 17, 2019 | Volume: 124 | Issue: 21 | Pages: 2605-2605

10.1182/blood.v124.21.2605.2605 Get It

Abstract Background: Multiple Myeloma (MM) patients have a substantially reduced Health related Quality of Life (HQOL) at diagnosis (dx) due to disease related symptoms like bone pain (58%) and fatigue (32%). HQOL monitoring is becoming increasingly important, owing to improved survival and the impact of treatment-related toxicity. As a result HQOL assessments are increasingly being used in clinical trials, but the literature regarding the relationship between HQOL and outcomes in MM is sparse. We used the Mayo Clinic “Hematology Patient Reported Symptom Screen” (HPRSS) to assess the impact of HQOL on outcomes in newly dx patients with MM. Methods:We retrospectively reviewed charts of 453 patients with newly dx MM seen at Mayo Clinic, Rochester from 2009 to 2014. All patients who visit Mayo clinic hematology clinic complete a 3-point questionnaire (HPRSS) on pain, fatigue and quality of life (QOL) (scored on a scale of 0-10; with 0 being the least fatigue or pain and 10 being the best QOL). Pain, fatigue and QOL scores documented at the time of dx and at 6 months were collected. JMP version 10 was used for the data analysis. Results: The median age at diagnosis was 67 years (range, 33-95); 60% were male. The estimated median OS for the cohort was 21 m (95% CI19, 23); 387 (85%) of the patients were alive at last follow up and the median OS for the population was not reached. The median (IQR) scores for pain, fatigue and QOL were 4 (2, 6), 3 (1, 5), and 7 (5, 9), respectively. First, we examined the relationship between each of the scores (dichotomized at the median) and the baseline characteristics. Higher fatigue scores were associated with lower Hb and serum albumin and higher beta 2 microglobulin, LDH and marrow plasmacytosis. Higher pain scores were seen in female patients, and associated with higher B2M, serum calcium and lytic bone lesions. Lower QOL scores were associated with lower absolute lymphocyte count and serum albumin levels. Next, we examined the relationship between the scores and the OS from diagnosis. The overall survival was inferior for patients with higher pain scores, fatigue scores and lower QOL scores (Figure). In a multivariable analysis, fatigue scores were most strongly associated with survival outcome. Patients with adverse scores in two or more of pain, fatigue and QOL had significantly inferior outcomes (Figure). In univariate analysis, age, B2M, LDH, FISH high risk and the presence of two or more adverse scores were all significantly associated with poorer OS. In a multivariable analysis, age, LDH and the presence >=2 adverse scores were all associated with shorter OS. Of the 453 patients included in the study, 222 patients had pain, fatigue and QOL scores at 6 month from diagnosis. At 6 months, the median (IQR) scores for pain, fatigue and QOL were 2 (1, 5), 4 (2, 5), and 7 (5, 9), respectively; suggesting improved pain, worsened fatigue and static QOL scores. Improvement in the scores by at least one point was seen in 50%, 49% and 38% for the fatigue, pain and QOL scores. While the pain and fatigue scores at 6 months correlated inversely with OS, improvements in the scores in any of the three were not associated with any improved outcomes. Conclusion: A simple, patient reported scoring system for pain, fatigue, and overall perceived QOL at the time of diagnosis is a powerful predictor of survival outcomes in patients with newly diagnosed MM and should be considered routinely in clinical practice. The results of these patient reported measures can be utilized to develop risk-adapted trials in patients with MM. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.
Disease and Outcome Disparities in Multiple Myeloma (MM): Exploring the Role of Race/Ethnicity and Obesity in Cooperative Group Clinical Trials
Jacobus, Susanna , Sexton, Rachael, Stewart, A. Keith, Hussein, Mohamad A., Zonder, Jeffrey A. , Crowley, John, Hoering, Antje , Barlogie, Bart , Ailawadhi, Sikander , Dispenzieri, Angela , Orlowski, Robert Z. , Rajkumar, S. Vincent

Blood | November 17, 2019 | Volume: 128 | Issue: 22 | Pages: 1192-1192

10.1182/blood.v128.22.1192.1192 Get It

Abstract Background: Race/ethnicity is associated with disparate incidence and outcomes in MM, as seen in population-based studies. Their effect on outcomes has not been reported in prospective studies. Obesity is the most consistently associated modifiable risk factor for MM and is influenced by race/ethnicity but its association with outcomes has not been explored. We analyzed patient-level data from published ECOG-ACRIN/SWOG clinical trials in newly diagnosed MM (NDMM) patients (pts) to explore the interplay of race/ethnicity, obesity and outcomes. Methods: Pooled data from 9 ECOG-ACRIN/SWOG clinical trials (E1A06, E4A03, E1A00, E2A02, E5A93, E9486, S0204, S0232, S9321) in NDMM (1988-2011) were analyzed. Pts were divided by race: White (W), African-American (AA), other (O); race/ethnicity: Hispanic (H), non-Hispanic White (NHW), non-Hispanic AA (NHAA), non-Hispanic other (NHO); and body mass index (BMI): <25, 25-29.9, ≥30. Associations between these and baseline pt/disease characteristics were assessed using chi-square (categorical) and Wilcoxon rank sum (continuous) tests. Survival distributions were estimated with Kaplan-Meier method and compared between groups using log-rank test. Cox proportional hazards regression was used to estimate hazard ratios in univariate and multivariate models. Time to event data was censored at 6 yrs. Results: Pt distribution by race, race/ethnicity and BMI is shown in Table 1. Race: AA were younger than W (median 59 vs 62 yr), had significantly more females (48% vs 40%; p=0.001) and had a smaller proportion of pts ≥70 yr (18% vs 26%; p<0.001). Median BMI was highest in AA (27.2) and lowest in O (24) (p=0.001) but not significantly different categorically between W and AA only (p=0.908). AA had significantly more pts with hemoglobin (Hb) ≤10 g/dL than W (55% vs 36%; p<0.001). Median creatinine (Cr) was 1.3 mg/dL in O and 1.1 mg/dL in W (p=0.03). There were no differences by race for ECOG performance status (PS), MM stage, lytic lesions, paraprotein subtype, serum calcium (Ca) or β2-microglobulin (β2M). Enrollment to clinical trials over years was significantly different by race (p=0.009). The only study design showing different enrollment by race was with/out stem cell transplant (SCT) (p=0.03; 37% of AA vs 31% of W got SCT trials). Race/Ethnicity: NHO were the youngest (median 58 yr) and NHW the oldest (median 62 yr) subgroup (p<0.001). NHAA had the highest proportion of pts with BMI ≥30 (16%) and NHO the lowest (7%) (p=0.018). H had the smallest proportion of females (33%) while NHO had the largest (54%) (p=0.002). H had the highest number of pts ≥70 yr (28%) and NHAA the smallest (18%) (p=0.003). Anemia rates were significantly different (p<0.001) with Hb ≤10 g/dL in 36% NHW vs 56% in NHAA. No significant differences were seen for PS, MM stage, lytic lesions, paraprotein subtype or other lab parameters. H and NHAA were enrolled in larger numbers in 1992-2011 rather than prior or later years (p<0.001). Among the subgroups, H had largest proportion of patients (75%) on trials without novel agent vs 61.5% for NHW (p=0.047). NHAA had the highest proportion of patients on trials with SCT (38%) while NHO had the smallest (27.3%) (p=0.034). BMI: By gender, 30% of males and 39% of females having BMI <25 (p<0.001). BMI <25 had the highest proportion of pts with ISS stage III (31%) vs 21.5% for ≥30 (p=0.001). A similar trend was seen for DS stage (p=0.005). 64% of ≥30 pts had Hb >10 while 51% of <25 did (p=0.003). There was significant difference in continuous Cr distribution by BMI (p=0.004). Efficacy analysis did not show any significant difference in response rate by race (p=0.132), race/ethnicity (p=0.286) or BMI (p=0.896). In univariate/multivariate analysis, significantly worse overall survival (OS) was seen in males, age ≥70 yr, ECOG PS >0, ISS and DS stage III, presence of lytic lesions, Cr ≥2 mg/dL, Ca >12 mg/dL, Hb ≤10 g/dL. No significant difference was seen in OS or progression free survival by race, race/ethnicity or BMI (Figure 1). Conclusions: Significant differences exist in demographic and clinical characteristics of NDMM pts by race/ethnicity. Median OS was significantly associated with these characteristics but not with race/ethnicity itself. Observed racial/ethnic disparity in outcomes for MM pts may be overcome by access to comparable therapeutic options as seen in clinical trials. Obesity, while associated with MM incidence, does not seem to influence outcomes. Figure 1 Figure 1. Disclosures Ailawadhi: Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Stewart:Janssen Pharmaceuticals: Consultancy; Takeda Oncology: Consultancy; Celgene: Consultancy; Bristol Myers Squibb: Consultancy. Hussein:Celgene: Employment. Zonder:Takeda: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Pharmacyclics: Other: DSMC membership; Prothena: Consultancy, Honoraria. Barlogie:Mount Sinai Hospital: Employment.
Prognostic Implications of Multiple Cytogenetic High-Risk Abnormalities in Patients with Newly Diagnosed Multiple Myeloma
Lacy, Martha Q. , Hayman, Suzanne R. , Hwa, Yi L. , Zeldenrust, Steven R., Lust, John A., Kapoor, Prashant , Kyle, Robert A. , Kumar, Shaji , Binder, Moritz , Rajkumar, S. Vincent , Ketterling, Rhett P. , Dispenzieri, Angela , Gertz, Morie A. , Buadi, Francis K. , Leung, Nelson , Go, Ronald S. , Gonsalves, Wilson I.

Blood | November 17, 2019 | Volume: 128 | Issue: 22 | Pages: 5615-5615

10.1182/blood.v128.22.5615.5615 Get It

Abstract Background: Cytogenetic evaluation using fluorescence in situ hybridization (FISH) at the time of diagnosis is essential for initial risk stratification in multiple myeloma. The presence of specific cytogenetic abnormalities is known to confer a poor prognosis, less is known about the cumulative effect of multiple cytogenetic high-risk abnormalities. We aimed to evaluate the prognostic implications of the presence of multiple cytogenetic high-risk abnormalities at the time of diagnosis. Methods: We studied 226 patients who were diagnosed with multiple myeloma between July 2004 and July 2014 at Mayo Clinic Rochester, underwent FISH evaluation within six months of diagnosis, and presented with cytogenetic high-risk abnormalities. High-risk cytogenetics were defined as t(4;14), t(14;16), t(14;20), del(17p), or gain(1q). Bone marrow aspirates were evaluated for deletions, monosomies, trisomies, and tetrasomies using chromosome- or centromere-specific FISH probes. IGH rearrangements were evaluated using an IGH break-apart probe and evaluating up to five potential partners (FGFR3, CCND1, CCND3, MAF, and MAFB). Kaplan-Meier overall survival estimates were calculated and the log-rank test was used to compare overall survival in patients with single and multiple cytogenetic high-risk abnormalities. A multivariable-adjusted Cox regression model was used to assess the effect of multiple cytogenetic high-risk abnormalities on overall survival adjusting for age, sex, and Revised International Staging System (R-ISS) stage. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis was 65 years (32 - 90), 129 (57%) of the patients were male. The median overall survival was 3.5 years (3.1 - 4.9) for the entire cohort (n = 226), 4.0 years (3.3 - 5.1) for those with one cytogenetic high-risk abnormality (n = 182, 80%), and 2.6 years (1.7 - 3.1) for those with two cytogenetic high-risk abnormalities (n = 44, 20%). There were no patients with more than two cytogenetic high-risk abnormalities. Ninety-eight patients (45%) had a high-risk translocation, 77 (35%) had del(17p), 39 (18%) had a high-risk translocation plus del(17p), and 5 (2%) had gain(1q) plus either a high-risk translocation or del(17p). Figure 1 shows the Kaplan-Meier overall survival estimates stratified by the number of cytogenetic high-risk abnormalities (n = 226). The presence of two cytogenetic high-risk abnormalities (compared to one) was of prognostic significance after adjusting for age, sex, and R-ISS stage (HR 2.01, 95% CI 1.27 - 3.19, p = 0.003, n = 205). Conclusions: Approximately one in five patients with newly diagnosed high-risk multiple myeloma presented with two high-risk abnormalities at the time of diagnosis. These patients experienced inferior overall survival suggesting a cumulative effect of multiple cytogenetic high-risk abnormalities. The relatively low number of observed gain(1q) was likely related to the fact that not all patients were evaluated for that abnormality. Therefore the presented hazard ratio represents a conservative effect estimate and may underestimate the true effect. Figure 1 Figure 1. Disclosures Dispenzieri: GSK: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding; Alnylam: Research Funding; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding. Kapoor:Takeda: Research Funding; Celgene: Research Funding; Amgen: Research Funding. Kumar:Janssen: Consultancy, Research Funding; BMS: Consultancy; AbbVie: Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy.