Muchtar, Eli

Abstract We retrospectively reviewed all patients receiving bortezomib, lenalidomide and dexamethasone induction followed by autologous stem cell transplantation (ASCT) within 12 months of diagnosis for multiple myeloma at the Mayo Clinic. 243 patients treated between January 2010 and April of 2017 were included in the study. Median age was 61 (interquartile range, 55-67) with 62% of patients being male. High risk cytogenetic abnormalities (HRA) were present in 34% of patients. 166 (68%) patients received some form of maintenance/other therapy post transplant (no maintenance (NM, n=77), lenalidomide maintenance (LM, n=108), bortezomib maintenance (BM, n=39) and other therapy (OT, n=19)). Overall response rate was 99% with complete response (CR) rate of 42% and 62% at day 100 and time of best response post transplant respectively. The four cohorts categorized by post transplant therapy were well matched for age, gender and ISS stage. HRA were more common amongst patients receiving bortezomib maintenance or other therapy post transplant (NM 18% vs LM 22% vs BM 68% vs OT 79%, p<0.0001). Two year and five year overall survival rates were 90% and 67% respectively with an estimated median overall survival (OS) and progression free survival (PFS) of 96 months and 28 months respectively for the whole cohort. OS was not significantly different when stratified by post-transplant therapy (Median OS 96 months for NM vs not reached for LM vs 62 months for BM vs not reached for OT, p=0.61), however post-transplant therapy was predictive of PFS (median PFS 23 months for NM vs 34 months for LM vs 28 months for BM vs 76 months for OT, p=0.01). High risk cytogenetics was associated with a worse OS but not PFS when compared to patients with standard risk (median OS: not reached for standard risk vs 60 months for HRA, p=0.0006; median PFS: 27 months for standard risk vs 22 months for HRA, p=0.70). In patients that did not receive maintenance therapy presence of HRA was a strong predictor of OS and PFS (median OS: not reached for standard risk vs 36 months for HRA, p<0.0001; median PFS: 24 months for standard risk vs 7 months for HRA, p<0.0001). Patients receiving maintenance therapy appeared to have a similar PFS and OS irrespective of cytogenetics (median OS: not reached for standard risk vs 62 months for HRA, p=0.14; median PFS: 35 months for standard risk vs 34 months for HRA, p=0.79).On multivariable analysis ISS stage III and achieving CR/stringent CR predicted PFS whilst the only independent predictors of OS were presence of HRA and achieving CR/stringent CR. The combination of bortezomib, lenalidomide and dexamethasone followed by ASCT is a highly effective regimen producing deep and durable responses in many patients. Maintenance therapy in this cohort may overcome the poor prognostic impact of high risk cytogenetic abnormalities. Table Table. Disclosures Dispenzieri: Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Lacy:Celgene: Research Funding. Dingli:Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.. Kapoor:Celgene: Research Funding; Takeda: Research Funding. Kumar:KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gertz:Abbvie: Consultancy; Apellis: Consultancy; annexon: Consultancy; Medscape: Consultancy; celgene: Consultancy; Prothena: Honoraria; spectrum: Consultancy, Honoraria; Amgen: Consultancy; janssen: Consultancy; Ionis: Honoraria; Teva: Consultancy; Alnylam: Honoraria; Research to Practice: Consultancy; Physicians Education Resource: Consultancy.

Abstract Background: We previously reported successful treatment of myeloma with an oncolytic virus, MMV-NIS. Preexisting immunity against measles made use of that virus unsatisfactory. The Indiana strain of Vesicular Stomatitis Viruses (VSV) are being developed as anticancer drugs for the treatment of a variety of malignancies. To ensure tumor selective replication and spread, we designed the VSV to encode interferon beta. Expression of IFNβ also serves as a STING agonist to activate host immunity against the cancer. The sodium iodide symporter (NIS) is inserted as a reporter gene into the viral genome to enable noninvasive monitoring of viral spread using PET/CT imaging. We report a Phase I clinical trial of intravenous administration of VSV-IFNβ-NIS for relapsed hematological malignancies including MM, AML, and TCL. Methods: Arm A consisted of patients with low tumor burden. Arm B included patients with high tumor burden. Both arms consisted of a classical 3+3 phase I trial, starting at 5x10^9 TCID50 (dose level 1) through 5x10^11 TCID50 (dose level 4), given as a single IV dose. In order to obviate potential toxicity from high interferon levels, Arm B received ruxolitinib 15 mg twice daily for 10 days beginning on day -1. The primary objective was determining the maximum tolerated dose (MTD) of VSV-IFNβ-NIS alone and in combination with ruxolitinib; secondary objectives include estimating the safety profile and preliminary efficacy. Correlative objectives include monitoring the pharmacodynamics of viral replication through SPECT/CT imaging with NIS gene, viremia, virus shedding, changes in the immune profile of peripheral blood leukocytes, and immunohistochemistry for immune cell infiltrates in tumors. Adverse events (AEs) are reported herein based on CTCAE v4 with the exception of cytokine release syndrome (CRS) which is based on Lee (Blood 2014; 124(2):188-195) criteria. Results: To date, 10 patients have received IV VSV-IFNβ-NIS; 8 in Arm A and 2 in Arm B. In Arm A, 3 patients were treated at dose level 1, 3 at dose level 2 and 2 at dose level 3. At dose level 1, there were three grade 3 hematologic AEs (neutropenia [1], lymphopenia [2]), and no grade 3+ non-hematologic AEs. At dose level 2, there were two grade 3 hematologic AEs (anemia [1], lymphopenia [1]), and two grade 3 non-hematologic AEs (nausea [1], dehydration [1]). A grade 2 CRS by Lee criteria was also observed. At dose level 3, 2 patients have been enrolled and data are maturing for DLT evaluation. In Arm B (VSV + rux), 2 patients have been enrolled and data are maturing for dose limiting toxicity (DLT) evaluation. Other grade 1 and 2 toxicities have included fever, hypertension, headache, electrolyte abnormalities, nausea, vomiting, transient elevation of liver function tests and creatinine. All grade 1 and 2 toxicities resolved within 72 hours. Among the 6 patients evaluable for response, there was one partial remission (TCL patient treated at dose level 2), and 5 with progressive disease. Multiple cytokines increased at 4h post infusion of virus, but most returned to baseline levels by 24h.Viremia was detectable in all patients at the end of infusion, and to varying levels at 30 mins, 1, 2, 4, 24, 48h or 72 hours post virus infusion. No persistent viremia was observed. No infectious virus was recovered in buccal swabs or urine and neutralizing anti-VSV antibodies were present by day 29. Extensive immune phenotyping and ELIspot assays for shared antigens are ongoing. Conclusion: In the lowest dose levels tested to date, VSV-IFNβ-NIS has not led to any observed dose limiting toxicity. Dose escalation is ongoing and updated results will be reported. Disclosures Lacy: Celgene: Research Funding. Peng:Vyriad: Equity Ownership. Russell:Vyriad: Equity Ownership. Dueck:Bayer: Employment; Phytogine: Employment; Pfizer: Honoraria. Witzig:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Gertz:spectrum: Consultancy, Honoraria; Physicians Education Resource: Consultancy; Ionis: Honoraria; janssen: Consultancy; Medscape: Consultancy; celgene: Consultancy; Apellis: Consultancy; Prothena: Honoraria; Amgen: Consultancy; annexon: Consultancy; Abbvie: Consultancy; Research to Practice: Consultancy; Teva: Consultancy; Alnylam: Honoraria. Dingli:Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding. Kapoor:Celgene: Research Funding; Takeda: Research Funding. Al-Kali:Novartis: Research Funding. Naik:Vyriad: Equity Ownership. Kumar:AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract Clonal hematopoiesis of indeterminate potential (CHIP) is defined as somatic mutations in clonal blood cells of individuals without any other hematological abnormalities and have been identified using whole exome sequencing (WES) from pre-specified genes. CHIP is reportedly associated with aging, reduced overall survival, cardiovascular disease, and hematologic disease, mainly myeloid cancers. Additionally, whole genome sequencing and WES studies in CLL cases have identified putative CLL driver genes with recurrent somatic variants or copy number alterations. Here, we investigate the associations of CHIP and mutations in CLL somatic driver genes with risk of CLL and MBL, a precursor to CLL. Using WES, 571 individuals from 132 CLL families were sequenced from two different sites, Mayo Clinic (92 families) and National Cancer Institute (NCI, 40 families), including 251 CLLs, 74 MBLs, and 246 unaffected relatives. DNA was extracted from buccal cells (Mayo Clinic) and peripheral blood (NCI). Allele counts from gVCF files were extracted for specific genes and analyzed. Variants were annotated using the Variant Effect Predictor in Ensembl, genome build GRCh37 (http://useast.ensembl.org/index.html). Highly-sensitive flow cytometry of the blood was used to screen for MBL. CHIP was defined as in Genovese et al., 2014 as the presence of any of the following: A) disruptive mutations in ASXL1, TET2, or PPM1D; B) missense mutation p.617F in JAK2; C) disruptive or missense mutations in DNMT3Alocalized to exons 7 to 23D) any mutations reported at least 7 times in hematological malignancies in the Catalogue of Somatic Mutations in Cancer (COSMIC); and (E) No variant allelic fraction (VAF) threshold. CLL driver genes included disruptive or missense mutations in ATM, BIRC3, MYD88, NOTCH1, SF3B1, TP53, EGR2, POT1, NFKBIE, XPO1, or FBXW7with VAF greater than 0.1. Mutations from COSMIC and CLL driver genes were excluded if the minor allele frequency in 1000 Genomes was greater than 0.5%. Data was analyzed using logistic regression adjusting for age, sex, and site. Odds ratios (OR) and 95% confidence intervals (CI) were estimated. Median age for CLL, MBL, and unaffected was 63, 61.5, and 54, respectively. The unaffected relatives were significantly younger than both the CLL and MBL groups (p<0.0001), with no difference between CLL and MBL (p=0.46). A total of 70 (12%) individuals from 54 different families had CHIP. CHIP was characterized in the majority of samples as mutations in DNMT3A, ASXL1, and TET2with 43, 9 and 8 individuals, respectively. As expected, CHIP was associated with age (p<0.001) but not sex (p=0.87). CHIP was present in 42 (17%) CLLs, 9 (12%) MBLs, and 19 (8%) unaffected relatives. There was a significant association between the presence of CHIP and CLL risk compared to unaffected relatives (OR= 2.19, 95% CI: 1.20 - 4.13, p=0.013) but not with MBL risk (OR=1.34, 95% CI: 0.54 - 3.11, p=0.51). Using the CLL driver genes, we found mutations in 119 (47%) CLL, 20 (27%) MBL, and 70 (29%) unaffected relatives. Mutations in CLL driver genes were associated with CLL risk compared to unaffected relatives (OR = 2.51, 95% CI: 1.64 - 3.87, p<0.0001), but there was no evidence for increased MBL risk (OR = 1.00). These results held when we subset the analysis to the Mayo only data where the DNA was extracted from buccal cells. This study further supports the association between mutations in CHIP related genes and risk of hematologic malignancies, in particular CLL. This is the first report of the prevalence of CHIP in MBLs. Although MBL and CHIP represent clonal population of blood cells, our data suggest the clones are different. Mutations in CLL driver genes are also associated with CLL risk but show little to no evidence with increased MBL risk. Interestingly, our unaffected relatives of CLL cases also had a high frequency of CLL driver mutations. Future studies are needed to understand these acquired mutations (both in CHIP- and CLL driver- related genes) in the unaffected to MBL to CLL continuum. Disclosures Parikh: Abbvie: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; AstraZeneca: Honoraria, Research Funding; Gilead: Honoraria; Janssen: Research Funding. Ding:Merck: Research Funding. Cerhan:Jannsen: Other: Scientific Advisory Board; Celgene: Research Funding; Nanostring: Research Funding. Shanafelt:Jansen: Research Funding; Pharmacyclics: Research Funding; Genentech: Research Funding; GlaxoSmithKline: Research Funding. Kay:Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees; Cytomx Therapeutics: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Agios Pharm: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta: Research Funding; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.

Abstract Introduction: Prognosis of AL amyloidosis has improved in recent years; however for many patients prognosis remains poor. We aimed to define patient-, disease- and treatment characteristics which are associated with long-term survival. Method: A retrospective chart review of all patients with biopsy-proven systemic AL amyloidosis, who were seen within 90 days of the confirmed diagnosis. Long-term survival was defined as 5-year and 10-year survival from the time of diagnosis. For 5-year survival we selected patients seen between January 1, 2000 and December 31, 2012 (allowing a minimum of 5-year follow-up, n=1331) and for 10-year survival we screened patients seen between January 1, 2000 and December 31, 2007 (allowing a minimum of 10-year follow-up; n=779). Treatment allocation was defined as the first regimen given, irrespective of subsequent treatment modifications. Results: Of the screening population, 498 patients survived ≥5 years from diagnosis (37% of the 5-year screening cohort) and 168 patients survived 10 years or more (22% of the 10-year screening cohort). Five-year survivors and 10-year survivors as compared to their counterparts were (Table): younger, higher proportion of women, more likely to have single organ involvement, less heart/liver/nerve involvement and more kidney involvement. Long-term survivors also had lower bone marrow plasma cell percentage at the time of diagnosis and lower tumor burden measured by the difference between involved to uninvolved light chain (dFLC). Similarly, long-term survivors had lower Mayo stages and higher systolic blood pressure. No difference in light chain isotype was observed between long-term survivors to long term non-survivors. Long-term survivors were less likely to be seen within 30 days of diagnosis compared to their counterparts (52% among 5-year survivors vs 67% among 5-year non-survivor; P<0.001). FISH abnormalities (data available for 555/1331 patients, 42%) were comparable between groups with regard to t(11;14) (50% among 5-year survival compared to 50% among 5-year non-survivors; P=0.93) and 13q abnormalities (34% vs 36%, respectively; P=0.53). However, trisomies were less frequently encountered in the 5-year survivor group (20% vs 29%, respectively; P=0.01), and far less common among 10-year survivors (11% vs 26%, respectively; P=0.04). Autologous stem cell transplantation (ASCT) was more likely to be associated with long-term survival. Of all patients who underwent ASCT, 74% survived more than 5 years and 49% survived more than 10 years. In comparison, among the standard-intensity therapies, 5-year survival rates for melphalan-dexamethasone, bortezomib-based regimens, immunomodulatory drug-based regimens and single agent dexamethasone/ melphalan-prednisone were 29%, 28%, 30% and 10%, respectively. The corresponding 10-year survival rates were 15%, 20%, 20% and 5%, respectively. Conclusions: Long-term AL survivors have distinct favorable baseline characteristics (including those introduced by referral bias) and ASCT as their initial therapy. Identification of these patients, especially the Mayo 2004 stage III and the Mayo 2012 stage III-IV patients who unexpectedly survived 10 years, will allow for further study and insights. Disclosures Gertz: Teva: Consultancy; Prothena: Honoraria; Alnylam: Honoraria; celgene: Consultancy; Ionis: Honoraria; Physicians Education Resource: Consultancy; Research to Practice: Consultancy; Amgen: Consultancy; janssen: Consultancy; Apellis: Consultancy; Medscape: Consultancy; Abbvie: Consultancy; spectrum: Consultancy, Honoraria; annexon: Consultancy. Lacy:Celgene: Research Funding. Dingli:Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Russell:Vyriad: Equity Ownership. Kumar:KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Roche: Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding.

Abstract Introduction: Outcomes in multiple myeloma have significantly improved in recent times owing to the availability of newer more effective therapies. Autologous stem cell transplantation (ASCT) has been used for over three decades to treat multiple myeloma. We aimed to evaluate the outcome of patients receiving ASCT at our institution between 1990 and 2015. Patients and Methods: A total of 2025 patients received ASCT at Mayo Clinic Rochester between 1st January 1990 and 31st December 2015. The patients were divided in to three cohorts of approximately equal time period, Cohort 1 (1990-1999, n=144), Cohort 2 (2000-2009, n=909) and Cohort 3 (2010-2015, n=972). Outcomes of interest were early mortality, progression free survival (PFS) and overall survival (OS). Disease characteristics were documented from time of diagnosis and PFS and OS were calculated from date of ASCT unless otherwise stated. Results: Median age for the whole cohort was 60 years (range 24-77) and increased over time (55 Cohort 1 vs 59 Cohort 2 vs 61 Cohort 3, p<0.0001). The proportion of males (60% for whole cohort) was not significantly different between the 3 time periods. Almost all patients (99%, n=2018) received chemotherapy prior to transplantation (median lines of therapy 1, range 0-6). The number of patients receiving >1 line of therapy prior to transplantation decreased over time (67% Cohort 1 vs 27% Cohort 2 vs 34% Cohort 3, p<0.0001). The use of novel agents was congruous with their availability and increased over time (0% Cohort 1 vs 59% Cohort 2 vs 100% Cohort 3, p<0.000). After a median follow up of 84 months (95% CI, 78-91 months), median PFS and OS for the whole cohort were 24 and 66 months respectively. Both PFS and OS improved significantly over time (median PFS: 12 months Cohort 1vs 18 months Cohort 2 vs 33 months Cohort 3, p<0.0001; median OS: 26 months Cohort 1vs 63 months Cohort 2 vs 83 months Cohort 3, p<0.0001), Figure 1. The improvement in PFS and OS over the 3 time periods was seen in patients receiving early (≤ 12 months from diagnosis) and delayed (>12 months) ASCT, Table 2. OS from diagnosis was no different for early versus delayed transplant in Cohort 1 and Cohort 2 (Cohort 1: median OS 57 months for early vs 56 months for delayed, p=0.24 and Cohort 2: median OS 81 months for early vs 82 months for delayed, p=0.70) and showed a trend towards a marginal benefit for delayed transplant in Cohort 3 (median OS 105 months for early vs 109 months for delayed, p=0.046).Treatment related mortality (100 days post transplant) improved over time (7.6% Cohort 1 vs 1.8% Cohort 2 vs 0.7% Cohort 3, p<0.0001), Figure 2A. Mortality within 12 months of ASCT also improved over time (24% Cohort 1vs 8% Cohort 2 vs 6% Cohort 3, p<0.0001). A landmark analysis of OS from 12 months post ASCT continued to reveal improved survival over time(median OS 26 months Cohort 1vs 63 months Cohort 2 vs 83 month Cohort 3, p<0.0001), Figure 2B. Conclusion: ASCT remains an important therapeutic option for eligible patients with multiple myeloma. There has been a marked improvement over time in PFS and OS and reduction in treatment related mortality and early mortality in myeloma patients receiving ASCT. This is likely to reflect the addition of novel agents to induction regimens and improved post transplant therapies. Despite these improvements myeloma remains incurable with patients continuing to relapse and die many years after ASCT. Disclosures Dispenzieri: Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Lacy:Celgene: Research Funding. Dingli:Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Kumar:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gertz:Research to Practice: Consultancy; Physicians Education Resource: Consultancy; Amgen: Consultancy; spectrum: Consultancy, Honoraria; celgene: Consultancy; annexon: Consultancy; janssen: Consultancy; Alnylam: Honoraria; Abbvie: Consultancy; Ionis: Honoraria; Teva: Consultancy; Apellis: Consultancy; Medscape: Consultancy; Prothena: Honoraria.

Abstract Background: It is well known that the staging stratification at diagnosis predicts survival in immunoglobulin light chain (AL) amyloidosis, but there is a paucity of literature delineating the prognostic value of these systems at the time of 2nd-line therapy. Methods: We conducted a retrospective study to evaluate the prognostic value of AL staging among 563 patients with staging data, who initiated a 2nd-line therapy between 2000 and 2015. Both the Revised Mayo 2012 staging system and the European revision of the Mayo 2004 staging system were used. Results: The median time from initial treatment to 2nd-line therapy was 11.6 months. Median follow-up from institution of 2nd-line therapy was 54.1 months. The 1st-line therapy for patients was autologous stem cell transplant (ASCT) in 216 (38%) patients; and 2) non-ASCT therapies in 347 patients. Both staging systems were prognostic with a risk ratio of 9.4 (95%CI: 6.0, 15.1; p<0.0001) between stage IIIb and I, and of 12.2(8.1, 18.5; p<0.0001) between IV and I. At the time of 2nd-line therapy the staging systems' predictive values were independent of what the patients' 1st-line therapies had been despite the fact that the median time from initial treatment to 2nd-line therapy was 19.4 months in ASCT group and 8.0 months in non-ASCT group. Among the patients receiving 2nd-line therapy after ASCT, the 5-year overall survival (OS) from 2nd-line therapy for those with ≤ stage II versus >stage II was 65% and 31% (Mayo 2004) and 70% and 23% (Mayo 2012). The respective numbers for patients relapsing from a non-ASCT therapy were 57% and 26% (Mayo 2004) and 60% and 23% (Mayo 2012). Conclusions: This study indicates that the Mayo staging systems work well at the time of instituting 2nd-line therapy and is independent of whether 1st-line therapy was ASCT based. Figure. Figure. Disclosures Gertz: annexon: Consultancy; Medscape: Consultancy; Apellis: Consultancy; celgene: Consultancy; Prothena: Honoraria; Abbvie: Consultancy; Amgen: Consultancy; Physicians Education Resource: Consultancy; spectrum: Consultancy, Honoraria; Ionis: Honoraria; Research to Practice: Consultancy; Teva: Consultancy; janssen: Consultancy; Alnylam: Honoraria. Kumar:KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding. Lacy:Celgene: Research Funding. Dingli:Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Russell:Vyriad: Equity Ownership. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding.

Abstract Background: The presence of circulating plasma cells (CPCs) is associated with an adverse prognosis in multiple myeloma along the entire spectrum of disease. However, the impact of CPCs prior to autologous stem cell transplantation (ASCT) has not been defined in the era of novel agents. The objective of this study is to assess the impact of the presence and number of CPCs before transplant using 6-color multiparameter flow cytometry (MFC). We also explored the additional prognostic implications of CPCs over the current paradigm for risk stratification at transplant, including high-risk (HR) cytogenetics and disease status at transplant by the IMWG criteria. Methods: A total of 1113 consecutive patients transplanted between 2007 and 2015 in Mayo Clinic were included in the study. Flow-cytometry of peripheral blood to identify clonal CPCs is routinely performed in all patients before ASCT in Mayo Clinic, Rochester. The mononuclear cells from peripheral blood samples are isolated by Ficoll gradient and subsequently stained with antibodies to CD19, CD38, CD45, CD138 and cytoplasmic kappa (κ) and lambda (λ) immunoglobulin light chains. Clonality is assessed by light chain restriction (κ:λ expression ratio of 4:1 [κ restricted] or <1:2 [λ restricted]). The target for collection is >150,000 cellular events. For samples where less than 150,000 clonal events are examined, the number of final clonal events is adjusted to 150,000 events. HR cytogenetics by fluorescence in situ hybridization (FISH) on bone marrow (BM) plasma cells was defined by one of the following abnormalities: t(4;14), del(17p), t(14;16), t(14;20) or +1q, detected at any time point from diagnosis to transplant. Patients who had insufficient plasma cells for FISH analysis in BM specimens were not included in the denominator to calculate the percentage of patients with HR cytogenetics. The primary end-points of this study were post-transplant response, PFS and OS. Result: CPCs were detected in 238 out of 1113 (21.4%) patients, with the median number of CPCs being 82 (range, 1-102381) per 150,000 events. The median age of patients at transplant was 62 years. A total of 1097 (99%) patients had received novel agent based induction therapy with PIs and IMiDs, including 458 (41%) patients who had received both PIs and IMiDs. 401 (36%) patients had received post-transplant maintenance or consolidation therapy. The frequency of t(4;14) in BMPCs was significantly higher in patients with CPCs compared to those without [15.2 vs 7.0% for t(4;14); P<0.001]. The median follow-up from transplant for survivors was 45 months. The 5-year OS rate in patients with and without CPCs was 34% (95% CI, 27-42) and 70% (95% CI, 66-74) respectively (P<0.001). After exploring several cut-offs for the number of CPCs per 150,000 events, we chose a simple pre-transplant risk stratification model: No CPCs (n=874; 78.5%), 0<CPCs≤400 (n=188; 16.9%) and CPCs>400 (n=51; 4.6%). The number of patients achieving stringent complete response post-transplant in groups with no CPCs, 0<CPCs≤400 and CPCs>400 was 310 (36%), 31 (16%) and 3 (6%) respectively (P<0.001). The median PFS in the 3 groups was 27 months (95% CI, 25-30), 15 months (95% CI, 13-18) and 6 months (95% CI, 4-10) respectively (P<0.001) and 5-year OS rates were 70% (95% CI, 66-74), 42% (95% CI, 34-51) and 12% (95% CI, 5-26) respectively (P<0.001). Kaplan-Meier curves for PFS and OS are depicted in Figure I (A and B). In a multivariate model (Table I), the groups with 0<CPCs≤400 and CPCs>400 had an increased risk of death, independent of the presence of HR cytogenetics and disease status at transplant. Conclusion: Our study shows the strong negative prognostic impact of CPCs prior to transplant on post-transplant response and survival in MM in the era of novel agents. The proposed risk stratification model can be easily employed with simple equipment and should be routinely incorporated in the pre-transplant workup. Detailed epigenomic, genomic and transcriptomic analysis of CPCs is urgently needed to uncover the biological basis of resistance to both high-dose cytotoxic therapy and novel agents and identify potential avenues of targeted therapy against CPCs. Disclosures Kumar: Onyx: Consultancy, Research Funding; Kesios: Consultancy; Celgene: Consultancy, Research Funding; Glycomimetics: Consultancy; AbbVie: Research Funding; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding. Dispenzieri:Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Alnylam: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Jannsen: Research Funding. Kapoor:Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Gertz:Sandoz Inc: Honoraria; NCI Frederick: Honoraria; Celgene: Honoraria; Alnylam Pharmaceuticals: Research Funding; GSK: Honoraria; Novartis: Research Funding; Research to Practice: Honoraria, Speakers Bureau; Med Learning Group: Honoraria, Speakers Bureau; Ionis: Research Funding; Prothena Therapeutics: Research Funding; Annexon Biosciences: Research Funding.

Abstract AL amyloidosis is a systemic disease with profound effects on organ function. However, despite the broad array of disease manifestations, the effect of AL amyloidosis on thyroid function is underreported. We explored the frequency of thyroid function abnormalities in 961 untreated AL amyloidosis patients seen in our clinic between 8/2005-8/2015, with emphasis on association with other organ involvement and tumor burden. Thyroid function was assessed using the thyroid stimulating hormone assay (TSH, normal range 0.3-5 mIU/L). If TSH was abnormal, measurement of free thyroxine (FT4) and thyroid peroxidase (TPO) antibodies was routinely performed. Patients' median age was 62 [interquartile range (IQR) 56-69], 62% were male (Table). The median number of organs involved was 2 (IQR 1-3), 29% of patients had more than 2 involved organs. Seventy-seven percent of patients had cardiac involvement, 61% renal, 23% peripheral/autonomic neuropathy, 19% hepatic and 15% gastro-intestinal (GI) involvement. The median difference between involved and uninvolved light chains (dFLC) was 24.4 [interquartile range 10.6-65.2 mg/dL]. The median TSH was 3 mIU/L (range 0.1-50.1); 22% had levels above the normal range and 8% of patients had TSH greater than 7.5 mIU/L. Baseline characteristics by TSH ≤5 mIU/L and TSH >5 mIU/L subgroups can be viewed in Table. Patients with renal or hepatic involvement had higher TSH values compared to no renal or no hepatic involvement (3.2 vs 2.6 and 2.8 vs 3.8, respectively; P<0.001 for both comparisons). There was a borderline significance for higher TSH in patients with >2 organ involvement compared to 1-2 affected organs (3.3 vs 2.8; P=0.05), with a strong trend for higher TSH for dFLC ≥18 mg/dL compared to dFLC<18 mg/dL (P=0.07). In patients with renal involvement, presence of proteinuria > 2 grams/day was associated with a higher likelihood of TSH >7.5 mIU/L (13% vs 5%; P=0.003). Free thyroxine (FT4) measurements were performed in 214 (22%) of patients with a median value of 1.1 ng/dL(range 0.3-72), 6% had levels below the lower limit (0.8 ng/dL). One-hundred and sixty five patients (17%) were screened for TPO antibodies, of which 16% (n=27) had an elevated titer. L-thyroxine (median dose 100 mcg/d, range 25-350 mcg/d) was already prescribed to 157 of the patients (16%) at their first visit, but duration of treatment prior to AL amyloidosis diagnosis could not be determined. Seventeen patients (1.5%) were prescribed amiodarone (median dose 200mg/d, range 100-400 mg/d), and although numbers were low, patients with amiodarone treatment had a TSH twice as high as patients without this treatment (6 vs 2.9 mIU/L, P=0.006). In conclusion, thyroid function abnormalities are frequent at the time of AL amyloidosis diagnosis and are influenced by type of organ involvement as well as disease burden assessed by dFLC and/or number of affected organs. Amiodarone, although infrequently used in this disease, can cause a profound disturbance in thyroid function among these patients. Disclosures Dispenzieri: Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; pfizer: Research Funding; Celgene: Research Funding; Alnylam: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Jannsen: Research Funding. Kumar:AbbVie: Research Funding; Array BioPharma: Consultancy, Research Funding; Glycomimetics: Consultancy; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Kesios: Consultancy; BMS: Consultancy; Sanofi: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

Abstract The impact of fluorescence in-situ hybridization (FISH) on outcome in AL amyloidosis remains uncertain. We analyzed the response and overall survival (OS) of 692 AL amyloidosis patients with available FISH testing at diagnosis. First line treatment was categorized as autologous stem cell transplant or three non-transplant regimens (melphalan-based; bortezomib-based, and immunomodulatory drug (IMiD)-based). Forty-nine percent of patients had t(11;14), 37% del 13q/monosomy 13 and 19% had trisomy/tetrasomy. Analysis by abnormality type was restricted to t(11;14) and trisomy/tetrasomy sub-groups as chromosome 13 abnormalities were commonly associated with the other abnormalities. Patients with t(11;14) had lower rate of very good partial response or better (≥VGPR) compared to those lacking t(11;14) (56% vs 70%, P=0.001). By regimen stratification, this difference was maintained for bortezomib-based (52% vs 77%; P=0.004) and IMiD-based therapy (13% vs 54%; P=0.04) (Figure 1). Patients with trisomy/tetrasomy had no difference in the rate of ≥VGPR compared to those who did not (66% vs 63%, P=0.62), with no difference within regimen types. OS was similar between t(11;14)-positive and negative patients (median 43 vs 57 months; P=0.58). However, sub-analysis by regimen type showed a significantly inferior OS among t(11;14)-positive bortezomib-treated patients (median 15 vs 27 months; P=0.05) and t(11;14)-positive IMiD-treated patients (median 12 vs 32 months; P=0.05) (Figure 2). Among t(11;14)-positive bortezomib-treated patients, the OS difference was maintained among favorable-prognosis patients, but was absent for poor-prognosis sub-groups (Table). Trisomy/tetrasomy was associated with inferior OS (median 29 vs 69 months; P=0.001), a difference that was maintained for melphalan (median 15 vs 32 months; P=0.01) and borderline significance for bortezomib (median 14 vs 38 months; P=0.09). Multivariate analysis confirmed an independent effect on OS for trisomy/tetrasomy in the study cohort and for t(11;14) among bortezomib-treated patients. FISH analysis is essential in newly diagnosed AL amyloidosis, as it provides prognostic information among treatment groups and may influence the selection of induction treatment. Patients with t(11;14) should be considered for ASCT at diagnosis. Disclosures Dispenzieri: Celgene: Research Funding; Alnylam: Research Funding; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jannsen: Research Funding. Kumar:Glycomimetics: Consultancy; AbbVie: Research Funding; Array BioPharma: Consultancy, Research Funding; Kesios: Consultancy; Onyx: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; BMS: Consultancy; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Kapoor:Amgen: Research Funding; Takeda: Research Funding; Celgene: Research Funding.