Citations

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.

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.

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.

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.

Abstract Background: Venous thromboembolism (VTE) contributes to significant morbidity, mortality, and socioeconomic burden. Though male sex is a known risk factor for recurrent VTE, there is a paucity of literature regarding sex-based sociodemographic differences as well as differences in VTE outcomes including hospital length of stay and mortality rates. Methods: We conducted a retrospective analysis from the National Inpatient Sample (NIS) database from 2012-2013. Inclusion criteria were age 18 years and older and primary discharge diagnosis of VTE Sociodemographic features and medical comorbidities were analyzed, as were hospital length of stay and in-hospital mortality rates. Results: 107,896 patients in the NIS, representing a national estimate of 539,480 patients hospitalized for VTE between 2012 and 2013, met inclusion criteria. 53% were female and 47% were male. Mean age was 63 years and on average women were older than men (65 years versus 62 years, p<0.001). There were significant differences between men and women with respect to race, primary insurance payor, and VTE location as well as medical comorbidities (Table 1). Median overall length of stay (LOS) was 4 days and in-hospital mortality rates were 2.1%. Female sex was associated with a small but significantly longer hospital LOS (RR 1.04, CI 1.03-1.05, p<0.001) which was also seen in subgroup analyses of lower extremity DVT (RR 1.05, CI 1.03-1.06, p<0.001) and pulmonary embolism (RR 1.03, CI 1.02-1.05, p<0.001) but not upper extremity (RR 1.04, CI 0.96-1.12, p=0.36). There were no significant sex-based differences in in-hospital mortality (2.2% in women versus 2.1% in men, p=0.15). In a multivariate model correcting for sociodemographic differences and medical comorbidities, there were no significant differences between women and men with respect to hospital LOS or in-hospital mortality (Table 2). Conclusion: We used data from the NIS to study a large number of patients hospitalized for VTE, and identified several sex-based disparities in sociodemographic factors and location of VTE. However, in a multivariable analysis correcting for these factors, sex was not associated with significant differences in hospital LOS or inpatient mortality rates. Disclosures Kapoor: Celgene: Research Funding; Takeda: Research Funding; Amgen: Research Funding.

Abstract Background: Hemophagocytic lymphohistiocytosis (HLH) is a severe clinical syndrome characterized by the activation of mononuclear phagocytic system. Patients (pts) typically present with fever, cytopenias, splenomegaly, hyperferritinemia and hemophagocytosis. There are two categories of HLH: primary (familial) and secondary (acquired). Primary HLH (FHL) is caused by genetic defects in proteins involved in cytotoxic function in T and NK cells, and occurs most commonly in children; though hypomorphic mutations in the same genes may cause adult-onset FHL. In contrast, secondary HLH typically occurs in adults, and is due to underlying infectious, autoimmune, and malignant disorders. The limited knowledge about secondary adult HLH is derived from case reports or case series involving few pts. The current study is the first collaborative effort to describe the etiology, clinical characteristics and outcomes in a large cohort of adult HLH pts. Methods: All adult (≥18 years) pts with a diagnosis of HLH according to the HLH-04 criteria seen at Barnes Jewish Hospital, St. Louis, MO (from October 2003 through June 2014) and at Mayo Clinic, Rochester, MN (from January 1996 through May 2014) were identified. Five of the following eight criteria are considered diagnostic of HLH according to the HLH-04 criteria: 1) fever ≥38.50C; 2) splenomegaly; 3) cytopenia of two or three lines: ANC <1 × 109/L, hemoglobin <9 g/dL, platelet count <100 × 109/L; 4) serum triglycerides ≥265 mg/dL or serum fibrinogen ≤150 mg/dL; 5) serum ferritin ≥500 mcg/L; 6) soluble IL-2 receptor ≥2400 U/mL; 7) low/absent NK cell activity; and 8) biopsy-proven hemophagocytosis. Pts who were treated as HLH but did not fulfill the diagnostic criteria were excluded. The most likely etiology of HLH (malignancy, infection, autoimmune, and idiopathic) was assigned for each patient based on standard diagnostic criteria. Clinical characteristics were compared using Chi-square, student’s t-test and Mann-Whitney test, as appropriate. Overall survival (OS), defined as time from HLH diagnosis to death from any cause, was assessed using Kaplan-Meier survival analysis and log-rank tests. The Institutional Review Boards of both institutions approved this study. Results: One hundred and sixteen adult pts with HLH were identified. Their median age at diagnosis was 50 years (range, 18-82); 69 (58%) pts were male. The clinical and laboratory findings of pts according to HLH-04 criteria are summarized in Table 1. At diagnosis, the median serum ferritin was 18510 mcg/L (range, 561-684,000), median serum fibrinogen was 169 mg/dL (range, 50-766), and median serum triglycerides was 307 mg/dL (range, 68-1475). Ninety-one (78%) pts had transaminitis; 97/106 (92%) pts had hypoalbuminemia; 86/114 (75%) pts had elevated PT and/or aPTT; and 51 (44%) pts had renal insufficiency. The causes of HLH were as follows: 43 (37%) malignancies, 42 (36%) infections, 15 (13%) attributed to autoimmune disorders and primary immunodeficiencies, and 16 (14%) were idiopathic. After a median follow-up of 1.5 months, 70 (60.3%) pts have died. The median OS of the entire cohort was 2.8 months (range, 0.1-73.1 months), with a 5-year overall survival of 20%. Pts with malignancy-associated HLH had a markedly worse survival (median=1.2 months) compared to pts with non-malignancy-associated HLH (median=13.8 months, p < 0.0001, Figure 1). In a multivariable analysis, malignancy-associated HLH (hazard ratio [HR] = 4.4; 95% CI: 1.7-11.3; p = 0.002) and male gender (HR = 2.8, 95% CI: 1.2-6.5; p = 0.02) were independently associated with shorter survival. Conclusions: The triad of fever, cytopenias and elevated ferritin (present in >80% of pts in this series) should alert physicians to a possible diagnosis of adult HLH. Survival after a diagnosis of HLH is dismal, especially among those with malignancy-associated HLH. The development of a national registry for adults with HLH will be beneficial to further our understanding of this condition and develop effective treatment strategies. Table 1: Clinical and laboratory findings according to the HLH-04 criteria Characteristic No. (%) of patients Fever 112/116 (97) Splenomegaly 75/116 (65) Bicytopenia or pancytopenia 95/116 (82) Hypertriglyceridemia 71/107 (66) Hypofibrinogenemia 50/107 (47) Hemophagocytosis 95/111 (86) Hyperferritinemia 115/115 (100) Elevated soluble IL-2 33/40 (82) Absent or decreased NK cell function 12/22 (54) Disclosures No relevant conflicts of interest to declare.

Abstract Introduction Patients with hematologic malignancies are at higher risk for infection due to the nature of their immunocompromised status, therapy-related complications, and numerous other factors. Multiple myeloma (MM) is the second most common hematologic malignancy after non-Hodgkin's lymphomas. Current literature on bone and joint infections (BJI) in MM is limited to case reports, and this study aims to identify the frequency and characteristics of BJI in MM. Methods We retrospectively reviewed 4607 patients within the MM database at Mayo Clinic from 1/1/2005 through 1/1/2015. A computerized search of the electronic medical record using diagnosis codes, pathology reports, and free text searches, followed by manual chart review, identified 39 unique patients with BJI as depicted in Figure 1. Results Of the 39 patients with BJI and a diagnosis of multiple myeloma, 28/39 (72%) were male, and median age was 70 years-old (range 39-86). 35/39 (90%) had IgG subtype MM, and 21/39 (54%) were in remission from MM while 4/39 (10%) were neutropenic at the time of BJI. 14/39 (36%) occurred after hematopoietic stem cell transplant, and the median duration from transplant to BJI was 45.0 months (range 1.0-88.7). 11/39 (28%) had chronic kidney disease on chart review, and 8/39 (21%) were on corticosteroids. 32/39 (82%) had prior exposure to chemotherapy, and median duration from most recent chemotherapy to BJI was 32 days (range 0-1559). Septic arthritis (9/39, 23%) and osteomyelitis (9/39, 23%) occurred most frequently followed by prosthetic joint infection (PJI) (8/39, 21%). Pathogens were primarily Gram positive organisms (20/39, 51%), and 7/20 (35%) had polymicrobial infections. All patients received culture-guided induction antimicrobial therapy. 27/39 (69%) underwent surgical intervention. Treatment and outcomes by infection can be seen in Figure 1. Of the 5 (13%) treatment failures (TF), 3 (60%) had PJI while 1 (20%) had osteomyelitis with necrotizing fasciitis, and 1 (20%) had septic arthritis. Median time from diagnosis of BJI to TF was 6.3 months (range 0.0-13.5), and none of the TF were neutropenic at the time of BJI. 26/39 (67%) were alive one year after BJI, and at latest chart review, 8/39 (21%) were alive, of whom 7 were treated successfully. Median overall survival from diagnosis of BJI was 34.3 months for all cases. Conclusions BJI are uncommon in MM, and pathogens are similar to patients without MM, though with polymicrobial infections occurring frequently. Treatment is successful in the majority of cases, but PJI appear to have higher TF rates. However, TF may not necessarily correlate with hematologic status or survival. Figure 1 Flowchart of the multiple myeloma study cohort, BJI, treatment, and outcomes MM = Multiple Myeloma; BJI = Bone and Joint Infection; PJI = Prosthetic Joint Infections; VO = Vertebral Osteomyelitis; I&D = Irrigation & Debridement; Abx = Antibiotic Therapy Alone; DAIR = Debridement and Implant Retention; TF = Treatment Failure; CHF = Congestive Heart Failure Figure 1. Flowchart of the multiple myeloma study cohort, BJI, treatment, and outcomes. / MM = Multiple Myeloma; BJI = Bone and Joint Infection; PJI = Prosthetic Joint Infections; VO = Vertebral Osteomyelitis; I&D = Irrigation & Debridement; Abx = Antibiotic Therapy Alone;. / DAIR = Debridement and Implant Retention; TF = Treatment Failure; CHF = Congestive Heart Failure Disclosures Kapoor: Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding.

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.

BACKGROUND: pPCL is a rare and aggressive form of multiple myeloma (MM) with poor survival outcomes compared to that experienced by MM patients. It has been traditionally defined by the presence of an absolute plasma cell count of > 2000/microL or >20% circulating plasma cells (cPCs) in the peripheral blood. However, several recent studies have validated the optimal cutoff for defining pPCL to be >5% cPCs on a peripheral blood smear due to equally poor outcomes in this less restrictive cohort. Hence, given the rarity of this disease entity, we evaluated the clinical outcomes and cytogenetic features of patients diagnosed with pPCL at our institution with the new proposed definition of pPCL by >5% cPCs on peripheral blood smear that were treated with novel agent induction therapies. METHODS: We evaluated all patients with pPCL diagnosed between 2000 - 2018 evaluated at Mayo Clinic in Rochester, Minnesota. Data regarding these patients were extracted from a prospectively maintained database and from the review of the electronic medical records. Patients were categorized as having high risk cytogenetics if any of the following abnormalities were present: del 17p, t(4;14), t(14;16) or t(14;20). Chi-square tests and Fisher exact tests were used to compare differences between the sub-groups of interest. Survival analysis was performed by the Kaplan-Meier method and differences assessed using the log rank test. RESULTS: This cohort consisted of 71 patients with pPCL with a median age of 62 years (range: 34-91) of which 33 (46%) were male. The median follow up was 46 months (95% CI: 41 - 90). The median bone marrow plasma cell content was 84% (Range: 10 - 100) and the median plasma cell percentage on the peripheral smear was 23% (range: 5 - 93). There were 48 (68%) patients with >20% cPCs in their peripheral blood smear. Only 23 (32%) patients had concurrent information on the number of cPCs by multiparametric flow cytometry at diagnosis and the median number of cPCs detected was 32,807 per 150,000 events analyzed (Range: 354 - 132,256). There were 15/54 (28%) patients who presented with a creatinine of 2 mg/dL or greater and 17/55 (31%) pts who presented with hypercalcemia (11 mg/dL or greater). Data for ISS classification was available in 45 patients and is as follows: Stage 1- 3 (7%) patients, Stage 2- 10 (22%) patients and Stage 3- 32 (71%) patients. Data on the presence of primary cytogenetic abnormalities were available in 60 (85%) patients of which 29 (49%) had high risk cytogenetics. The distribution of primary cytogenetic abnormalities among this cohort was as follows: t(11;14) - 27 (45%), t(4;14) - 5 (8%), t(14;16) - 8 (13%), t(14;20)- 3(5%) and del 17p- 15(25%). All patients received novel agent induction therapy with 40 (57%) of them having received at least one autologous stem cell transplant and 1 patient undergoing an allogeneic stem cell transplant. The median overall survival (OS) for all pPCL patients in this cohort was 23 months (95% CI: 19 - 38). The OS was similar in patient with 5-19% cPCs vs. >20% cPCs (24 vs. 23 months, P = 0.999). However, when the entire cohort was stratified by cytogenetic risk, the median OS was 51 months for standard risk vs. 19 months for high risk (P = 0.005) (FIGURE). There were only 17 (30%) patients in this cohort who were alive for 48 months or longer since diagnosis (i.e. twice the median OS of this cohort) and they were more likely to not have high risk cytogenetics at diagnosis (P = 0.05). CONCLUSION: In this analysis of one of the largest contemporary cohorts of pPCL patients, the outcomes of patients diagnosed with pPCL remain poor despite the use of novel agent induction therapy. However, some patients appear to do better than expected and this phenomenon may be influenced by the absence of high risk cytogenetics. Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Dispenzieri:Akcea: Consultancy; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding. Dingli:Karyopharm: Research Funding; Rigel: Consultancy; Millenium: Consultancy; Janssen: Consultancy; alexion: Consultancy. Lacy:Celgene: Research Funding. Kapoor:Glaxo Smith Kline: Research Funding; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; Cellectar: Consultancy; Celgene: Honoraria; Janssen: Research Funding. Russell:Imanis: Equity Ownership. Leung:Omeros: Research Funding; Takeda: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Aduro: Membership on an entity's Board of Directors or advisory committees. Gertz:Celgene: Consultancy; Prothena Biosciences Inc: Consultancy; Appellis: Consultancy; Amgen: Consultancy; Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding; Janssen: Consultancy; Ionis/Akcea: Consultancy; Alnylam: Consultancy; Annexon: Consultancy; Abbvie: Other: personal fees for Data Safety Monitoring board; Research to Practice: Consultancy; Teva: Speakers Bureau; Medscape: Consultancy, Speakers Bureau; Physicians Education Resource: Consultancy; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Proclara: Membership on an entity's Board of Directors or advisory committees; Spectrum: Consultancy, Research Funding; i3Health: Other: Development of educational programs and materials; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau.