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Zeldenrust, Steven R.

Mayo Clinic

Mayo Clinic

Citations 212

Characterization of Exceptional Responders to Autologous Stem Cell Transplantation in Multiple Myeloma
Chaudhry, Hafsa, Kumar, Shaji , Hwa, Yi L. , Fonder, Amie , Hobbs, Miriam, Hayman, Suzanne R. , Zeldenrust, Steven R., Lust, John A., Kapoor, Prashant , Kourelis, Taxiarchis , Warsame, Rahma , Kyle, Robert A. , Paquin, Ashley R. , Gertz, Morie A. , Buadi, Francis K. , Dispenzieri, Angela , Dingli, David , Leung, Nelson , Go, Ronald S. , Lin, Yi , Gonsalves, Wilson I. , Rajkumar, S. Vincent

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 4615-4615

10.1182/blood-2018-99-119623 Get It

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

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 4497-4497

10.1182/blood-2018-99-118084 Get It

Abstract Background: The introduction of novel therapeutics has led to improved outcomes in patients with multiple myeloma (MM). MM and its precursor lesion smoldering multiple myeloma (SMM) have traditionally been associated with increased mortality despite treatment. We aimed to assess the impact of a diagnosis of SMM and MM compared to the general population in the context of established prognostic factors. Methods: We studied the overall survival of 1697 patients with smoldering multiple myeloma (SMM, n = 582) and multiple myeloma (MM, n = 1115) diagnosed at Mayo Clinic between 01/2005 and 12/2015. Expected survival accounting for age and sex was calculated using the United States general population (US) as the reference group. Observed and expected overall survival was expressed as the standardized mortality ratio (SMR) of observed to expected deaths. Kaplan-Meier overall survival estimates were calculated and the log-rank test was used to compare overall survival in subgroups. The subgroups of interest were based on the International Staging System (ISS) and the presence of fluorescence in situ hybridization (FISH) high-risk cytogenetics: t(4;14), t(14;16), t(14;20), and del(17p). Proportional hazards regression models were used to assess the associations between the aforementioned prognostic factors and overall survival. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis in patients with SMM and MM was 65 (32 - 92) and 63 years (24 - 90), respectively. Two hundred forty-nine patients (57%) and 663 (60%) were male. The median follow-up in patients with SMM and MM was 4.7 (0.1 - 11.0) and 2.6 years (0.2 - 9.5). The median overall survival for patients with SMM and MM was 9.0 (95% CI 8.4 - 9.7) and 7.9 years (6.4 - 8.7). With age- and sex-matched population controls as the reference, the SMRs in patients with SMM and MM were 2.6 (95% CI 2.2 - 3.0) and 4.6 (4.1 - 5.2). Among those MM patients with available data on ISS staging and FISH cytogenetics, 30% (236/780) had ISS III and 21% (188/878) had high-risk cytogenetics. Patients with MM (compared to SMM) experienced worse overall survival (HR 1.5, 95% CI 1.2 - 1.8, p < 0.001, n = 1697). Patients with ISS I/II MM (compared to SMM) experienced similar survival (HR 1.0, 95% CI 0.8 - 1.3, p = 0.698, n = 1131). Patients with ISS III MM (compared to MM with high-risk cytogenetics) experienced similar survival (HR 1.3, 95% CI 0.9 - 2.0, p = 0.128, n = 329). Conclusions: Patients with SMM and MM in this cohort experienced excess mortality compared to the general population. In the absence of universal screening the true morbidity and mortality of patients with SMM and MM remains unknown and is likely overestimated in hospital-based cohorts. Overall survival in patients diagnosed with SMM and patients with ISS I/II MM receiving contemporary anti-myeloma therapy was clinically indistinguishable. Patients treated for ISS III MM experienced overall survival similar to patients with cytogenetic high-risk disease. MM remains associated with excess mortality, the magnitude of which varies considerably based on the presence of additional tumor and host factors. The outcomes with modern therapy among the ISS I/II patients highlight the potential for improving outcomes of SMM by early intervention, especially for the higher risk patients. Figure. Figure. Disclosures Lacy: Celgene: Research Funding. Gertz:Medscape: Consultancy; Alnylam: Honoraria; janssen: Consultancy; spectrum: Consultancy, Honoraria; Ionis: Honoraria; annexon: Consultancy; celgene: Consultancy; Teva: Consultancy; Prothena: Honoraria; Apellis: Consultancy; Abbvie: Consultancy; Physicians Education Resource: Consultancy; Amgen: Consultancy; Research to Practice: Consultancy. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Russell:Vyriad: Equity Ownership. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Kumar:Roche: Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; 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; 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; Novartis: Research Funding; Celgene: 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; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding.
Phase I Trial of Systemic Administration of Vesicular Stomatitis Virus Genetically Engineered to Express NIS and Human Interferon, in Patients with Relapsed or Refractory Multiple Myeloma (MM), Acute Myeloid Leukemia (AML), and T-Cell Neoplasms (TCL)
Lacy, Martha Q. , Peng, Kah-Whye , Patnaik, Mrinal M. , Ginos, Brenda, Hayman, Suzanne R. , Lust, John A., Warsame, Rahma , Kourelis, Taxiarchis , Muchtar, Eli , Kapoor, Prashant , Kyle, Robert A. , Zeldenrust, Steven R., Al‐Kali, Aref , Litzow, Mark R. , Kumar, Shaji , Muchtar, E , Dueck, Amylou C. , Witzig, Thomas E. , Buadi, Francis K. , Dispenzieri, Angela , Gertz, Morie A. , Go, Ronald S. , Dingli, David , Rajkumar, S. Vincent , Leung, Nelson , Gonsalves, Wilson I. , Broski, Stephen M. , Murphy, Robert C. , Naik, Shruthi , Federspiel, Mark J.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 3268-3268

10.1182/blood-2018-99-119444 Get It

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.
Long-Term AL Amyloidosis Survivors Among Non-Selected Referral Population
Muchtar, Eli , Lacy, Martha Q. , Grogan, Martha , Ezzeddine, Omar F. Abou, Hayman, Suzanne R. , Kapoor, Prashant , Fonder, Amie , Hobbs, Miriam, Hwa, Yi L. , Warsame, Rahma , Kourelis, Taxiarchis , Lust, John A., Zeldenrust, Steven R., Kyle, Robert A. , Kumar, Shaji , Muchtar, E , Gertz, Morie A. , Dingli, David , Buadi, Francis K. , AbouEzzeddine, Omar F. , Leung, Nelson , Gonsalves, Wilson I. , Lin, Yi , Go, Ronald S. , Rajkumar, S. Vincent , Dispenzieri, Angela

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 3226-3226

10.1182/blood-2018-99-117802 Get It

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.
Long Term Response To Lenalidomide With and Without Continuous Therapy Among Patients With Newly Diagnosed Multiple Myeloma
Kourelis, Taxiarchis , Kumar, Shaji , Srivastava, Geetika , Lacy, Martha Q. , Hayman, Suzanne R. , Zeldenrust, Steven R., Kyle, Robert A. , Lust, John A., Kapoor, Prashant , Gertz, Morie A. , Buadi, Francis K. , Leung, Nelson , Dingli, David , Lin, Yi , McCurdy, Arleigh , Rajkumar, S. Vincent , Dispenzieri, Angela

Blood | October 14, 2019 | Volume: 122 | Issue: 21 | Pages: 3209-3209

10.1182/blood.v122.21.3209.3209 Get It

Abstract Introduction Lenalidomide is an immunomodulatory drug that is active in newly diagnosed as well as relapsed multiple myeloma (MM). The goal of this study is to describe patients with newly diagnosed MM remaining on lenalidomide for more than 3 years (long term responders) as well as patients that after discontinuing lenalidomide were able to maintain disease control while only on observation (LenO group). Methods We retrospectively reviewed 283 patients with newly diagnosed MM that were treated with lenalidomide between January 2003 and January 2011. We excluded patients that underwent early autologous stem cell transplant (n=102) or had less than 3 years of follow-up (n=6), leaving 175 patients for the current analysis. Results Long term responders Thirty-three patients (19%) received lenalidomide for more than 3 years. When compared to patients receiving lenalidomide for less than 3 years, at baseline, long term responders were more likely to have standard risk disease (64% versus 44%, p=0.03) and less likely to have high risk disease (18% versus 4%, p=0.04). They were more likely to have achieved a deeper response (VGPR versus PR, p<0.001) and had a longer median time to best response (6 versus 4 months, p<0.001). When considering the 12 patients who received lenalidomide for more than 5 years, this group was more likely to have achieved a deeper response (CR versus PR, p<0.0001) and had a longer median time to achieving best response (9 versus 4 months, p<0.0001) than those 163 patients who remained on lenalidomide for fewer than 5 years. Observation group Thirty-three patients (19%) discontinued lenalidomide for reasons other than progression and were observed without receiving further treatment (LenO group). Prior to moving to observation, five patients had received lenalidomide for more than three years. Indications for stopping in the LenO group included: prolonged disease stability (n= 20); and toxicity (n=13). The only differences in baseline characteristics between the LenO group and patients that were not observed off any treatment was depth of response, with 61% (n=20) of LenO in VGPR or better versus 23% (n=23) in the remainder, p=0.0003. Median PFS from the time of discontinuing lenalidomide was significantly longer in those patients who took lenalidomide for more than 1 year (n=24) when compared to patients taking it for less than one year (n=9) (median PFS off therapy was 38.5 months versus, 14.9 months log rank 0.08; Wilcoxon p<0.05), figure 1a; PFS for those treated for 1-2 years (n=11) as compared to 2 years or greater (n= 13) were comparable to each other (data not shown). Among those taking lenalidomide for at least a year, PFS from time of discontinuing lenalidomide was superior in patients who had achieved a VGPR/CR (n=20) as compared to those who achieved only a PR (n=13) (Median 48.4 months versus 14.8 months, log-rank p<0.05; Wilcoxon p=0.01), figure 1b. Conclusion Approximately one out of five patients with newly diagnosed MM can achieve responses lasting more than three years while on treatment with lenalidomide. Patients with standard risk FISH and those achieving at least VGPR are more likely be long-term responders. Furthermore, long-term responders were more likely to be slow responders. We also demonstrate that suspension of lenalidomide therapy after 1 year among those patients achieving a VGPR or better can result in long-term disease control and can be considered as a therapeutic strategy. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding. Gertz:Celgene: Honoraria. Lacy:Celgene: Honoraria. Dispenzieri:Celgene: Research dollars Other.
Early Prediction of Treatment Response in Newly Diagnosed Multiple Myeloma
Lacy, Martha Q. , Hwa, Yi L. , Fonder, Amie , Hobbs, Miriam, Hayman, Suzanne R. , Zeldenrust, Steven R., Lust, John A., Kapoor, Prashant , Kourelis, Taxiarchis , Warsame, Rahma , Kyle, Robert A. , Kumar, Shaji , Binder, Moritz , Rajkumar, S. Vincent , Gertz, Morie A. , Buadi, Francis K. , Dispenzieri, Angela , Leung, Nelson , Go, Ronald S. , Gonsalves, Wilson I.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 3159-3159

10.1182/blood-2018-99-111624 Get It

Abstract Background: The introduction of several novel agents has led to an improvement in response rates and survival outcomes in patients with newly diagnosed multiple myeloma. Despite significant therapeutic advances a subset of patients with multiple myeloma do not achieve a deep response to first-line treatment and biomarkers are needed to identify those at risk. Methods: We studied 472 patients with newly diagnosed multiple myeloma who were treated in clinical practice (n = 280, training cohort) or on prospective clinical trials (n = 192, validation cohort) at Mayo Clinic between 12/2003 and 12/2015. All patients had measurable disease (M-spike ≥ 1.0 g/dL) and received treatment with novel agents. Serum M-spike and free light chains (FLC) were measured before and after the first treatment cycle. The outcome of interest was the best response to first-line treatment (evaluated using the International Myeloma Working Group Uniform Response Criteria). Failure to achieve a deep response was defined as not achieving a very good partial response or better. The serum parameters of interest were the relative decrease in M-spike and absolute free light chain difference (ΔFLC). The Wilcoxon signed-rank test was used to compare the serum parameters before and after the first treatment cycle. Logistic regression models were used to assess the associations between the change in serum parameters after the first treatment cycle and best response to first-line treatment. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis in the training and the validation cohort were 67 (32 - 94) and 66 years (41 - 86), respectively. One hundred eighty one (65%) and 103 patients (54%) were male, respectively. The three most common regimens in the training cohort were lenalidomide + dexamethasone, lenalidomide + cyclophosphamide + dexamethasone, and bortezomib + lenalidomide + dexamethasone. In the validation cohort, the three most common regimens were carfilzomib + thalidomide + cyclophosphamide, lenalidomide + cyclophosphamide + dexamethasone, and ixazomib + cyclophosphamide + dexamethasone. In the two cohorts, the median baseline M-spike decreased from 3.1 g/dL (1.0 - 10.0) to 1.7 g/dL (0.0 - 6.6) and 3.2 g/dL (1.0 - 8.5) to 1.4 g/dL (0.0 - 4.5) after the first treatment cycle, respectively (p < 0.001 for both comparisons). The median baseline ΔFLC decreased from 31.1 mg/dL (0.0 - 2269.7) to 5.4 mg/dL (0.0 - 785.8) and from 23.3 mg/dL (0.1 - 3579.6) to 4.3 mg/dL (0.0 - 1139.3) after the first treatment cycle, respectively (p < 0.001 for both comparisons). M-spike reduction < 50% during the first treatment cycle was associated with failure to achieve a deep response: OR 4.54 (95% CI 2.72 - 7.58, p < 0.001) in the training cohort and OR 6.68 (95% CI 3.42 - 13.03, p < 0.001) in the validation cohort. Patients with reduction in M-spike < 10% during the first treatment cycle experienced failure to achieve a deep response in 86% (25/29) and 100% (10/10), respectively. ΔFLC reduction < 50% during the first treatment cycle was associated with treatment failure to achieve a deep response: OR 4.83 (95% CI 2.83 - 8.25, p < 0.001) in the training cohort and OR 5.09 (95% CI 2.37 - 10.92, p < 0.001) in the validation cohort. Patients with reduction in ΔFLC < 10% during the first treatment cycle experienced failure to achieve a deep response in 83% (34/41) and 91% (19/21), respectively. Conclusions: Early changes in M-spike and ΔFLC are strong predictors of response to treatment. We established and prospectively validated two readily available biomarkers that can identify patients at risk for treatment failure and may inform treatment decisions in newly diagnosed multiple myeloma. Disclosures Lacy: Celgene: Research Funding. Gertz:Physicians Education Resource: Consultancy; janssen: Consultancy; Teva: Consultancy; Alnylam: Honoraria; Research to Practice: Consultancy; Apellis: Consultancy; Medscape: Consultancy; annexon: Consultancy; Abbvie: Consultancy; celgene: Consultancy; Prothena: Honoraria; Ionis: Honoraria; Amgen: Consultancy; spectrum: Consultancy, Honoraria. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Russell:Vyriad: Equity Ownership. Kapoor:Takeda: Research Funding; Celgene: Research Funding. Kumar:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: 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.
Prognostic Restaging at the Time of 2nd-Line Therapy in Patients with AL Amyloidosis
Hwa, Yi L. , Kumar, Shaji , Lacy, Martha Q. , Kapoor, Prashant , Zeldenrust, Steven R., Hayman, Suzanne R. , Kourelis, Taxiarchis , Warsame, Rahma , Muchtar, Eli , Hobbs, Miriam, Fonder, Amie , Kyle, Robert A. , Muchtar, E , Gertz, Morie A. , Buadi, Francis K. , Dingli, David , Leung, Nelson , Gonsalves, Wilson I. , Go, Ronald S. , Rajkumar, S. Vincent , Dispenzieri, Angela

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 5594-5594

10.1182/blood-2018-99-113805 Get It

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.
Soluble ST2 (sST2) Is a Novel Valuable Prognostic Marker Among Patients With Immunoglobulin Light Chain (AL) Amyloidosis
Saenger, Amy K., Kumar, Shaji , Lacy, Martha Q. , Hayman, Suzanne R. , Zeldenrust, Steven R., Kyle, Robert A. , Kapoor, Prashant , Jaffe, Allan S. , Dispenzieri, Angela , Gertz, Morie A. , Buadi, Francis K. , Leung, Nelson , McCurdy, Arleigh , Dingli, David , Lin, Yi , Go, Ronald S. , Jaffe, Allan S.

Blood | October 14, 2019 | Volume: 122 | Issue: 21 | Pages: 3095-3095

10.1182/blood.v122.21.3095.3095 Get It

Abstract The use of soluble cardiac biomarkers such as NT-proBNP and troponin has revolutionized prognostication for patients with AL amyloidosis and led to their use in the Mayo 2004 and 2012 staging systems. Novel soluble markers with different phenotypic targets may further improve this approach. Soluble ST2 (sST2), which is the circulating form of the IL-33 receptor, has been shown to be a marker of cardiac remodelling and fibrosis, is predictive of mortality in patients with congestive heart failure, and is predictive of risk of GVHD and GVHD mortality. Samples of blood of patients with AL amyloidosis collected and frozen at -20C under a biobank IRB protocol were retrieved and sST2 measured. Patients were eligible for present study if they had a research sample collected within 90 days of their AL amyloidosis diagnosis. We have validated that values do not change significantly with storage at -20C over a 90 day period. Concentrations of sST2 were determined using a novel high-sensitivity sandwich immunoassay (Presagew ST2; Critical Diagnostics, San Diego, CA, USA). The sST2 assay had within-run and total coefficients of variation of <7.5% and 13.0% across its measurement range. Samples from 273 consecutive patients meeting diagnostic criteria for AL amyloidosis seen at our institution from 1/9/2010 to 12/22/2011 were evaluated. Median age was 63. 58% were male. One hundred and thirty have died over 33.9 months. Correlation between sST2 and the other biomarkers was modest with correlation coefficients of 0.48 and 0.20 for NT-proBNP and Troponin T, respectively. Patients with sST2 above and below the median of 27.2 ng/mL (6.3-596) had significant differences in 2 year overall survival: 71.2% to 39% (figure). In multivariate modeling sST2’s prognostic value was independent of the Mayo 2004 and the Mayo 2012 cardiac biomarker staging systems, the latter of which also includes prognostic information relating to plasma cell burden. In these multivariate models, sST2 median had a RR of 2.4, (95%CI 1.6, 3.6 p<0.001) with the Mayo 2004 Staging system (RR of 2.9, 95%CI 2.1, 4.1p<0.001); and sST2 median had a RR of 2.2 (95%CI 1.5, 3.4, p<0.001) with the Mayo 2012 staging system (RR 1.9, 95%CI 1.6, 2.3, p<0.001). A larger cohort including patients with longer follow up will be presented at the meeting as will gender specific cut off values and a comparison of our values with those previously used to prognosticate in patients with heart failure. sST2 appears to be a novel powerful prognostic factor for patients with AL amyloidosis. Because sST2 functions as a decoy receptor, which neutralizes the benefits of IL-33, it may play a role in the deleterious phenotype seen in patients with AL, i.e. myocardial hypertrophy and reduction of contractility. Disclosures: Saenger: Critical Diagnostics : Research Funding; Roche: Research Funding. Jaffe:Critical Diagnostics: Consultancy, Research Funding; Roche: Consultancy.
Therapy Related MDS/AML In Multiple Myeloma Patients In The Era Of Novel Agents
Hayman, Suzanne R. , Kapoor, Prashant , Kumar, Shaji , Lacy, Martha Q. , Lust, John A., Zeldenrust, Steven R., Kyle, Robert A. , Gertz, Morie A. , Dingli, David , Dispenzieri, Angela , Leung, Nelson , Lin, Yi , Mıkhael, Joseph , Rajkumar, S. Vincent , Buadi, Francis K.

Blood | October 14, 2019 | Volume: 122 | Issue: 21 | Pages: 3117-3117

10.1182/blood.v122.21.3117.3117 Get It

Introduction With the introduction of novel agents, survival in multiple myeloma has successively increased in the past decade. This improved survival increases the risk for late complications. Patients continue to receive melphalan therapy as a standard induction for those over the age of 65. Lenalidomide is considered a standard component of induction therapy in the United States for patients who are transplant candidates. Stem cell transplantation remains the standard of care for patients eligible to receive it. As a consequence of exposure to lenalidomide, stem cell transplant, and melphalan, the risk of late myelodysplasia and acute leukemia remains significant. We reviewed the Mayo Clinic experience with therapy-induced myelodysplasia beginning with the advent of novel agents. Patients and Methods All patients that carry the diagnosis of multiple myeloma between January 1, 2000, and September 1, 2011, were included. Patients with a synchronous diagnosis of a myeloproliferative or a myelodysplastic disorder or those who developed the myelodysplastic disorder within 15 months of first chemotherapy exposure were excluded. The date of diagnosis for the purpose of this abstract was based on first exposure to chemotherapy and not first detection of a monoclonal protein or smoldering multiple myeloma. All patients had to have morphologic verification in the bone marrow of dysplastic change consistent with therapy-related myelodysplasia. Results Of 3111 patients who had a myeloma diagnosis and first treatment after January 1, 2000, through September 1, 2011, 22 patients were identified to fulfill the criteria of myelodysplasia. There were 13 men and 9 women with a median age of 67 (46 to 82). At the time of this report, 17 have died. Prior to the development of myelodysplasia, exposure to an alkylating agent, lenalidomide, or an auto stem cell transplant was seen in 13, 15, and 10, respectively. Only one patient had been exposed to lenalidomide alone. Eighteen patients were classified as myelodysplasia. Four had acute non-lymphocytic leukemia. Metaphase cytogenetics was available in 19 and only one was normal. Twelve were hypodiploid. Trisomy 8 or abnormalities of chromosome 5 and 7 were present in 13. Seven patients received a hypomethylating agent with no clear evidence of response in any. Four patients had an allotransplant to manage the MDS/AML and only one survives 487 days after a matched-related donor allogeneic transplant. The median time from initial therapy of multiple myeloma to recognition of MDS or AML was 50.9 months (range: 15.2-146.5 months) fig 1. The median overall survival of the 22 patients is 6.5 months. Fig 2 Six of the 22 had active myeloma at the diagnosis of MDS/AML. Conclusion Myelodysplasia during the era of novel agents is a devastating complication of therapy with a very short survival and low response rate. As a time-dependent complication, the overall risk cannot be accurately estimated but has occurred in <1% of our patient population to date. Hypomethylating agents were ineffective in the seven that received it. One of four allotransplant patients remains alive. Ongoing surveillance for MDS/AML in this population is warranted and more effective therapies are needed. Disclosures: Kumar: Onyx: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding.
The Utility of High Sensitivity Cardiac Troponin Among Patients with Immunoglobulin Light Chain Amyloidosis
Saenger, Amy K., Grogan, Martha , Kumar, Shaji , Lacy, Martha Q. , Kyle, Robert A. , Zeldenrust, Steven R., Hayman, Suzanne R. , Greipp, Philip R., Lust, John A., Jaffe, Allan S. , Dispenzieri, Angela , Gertz, Morie A. , Leung, Nelson , Buadi, Francis K. , Rajkumar, S. Vincent , Dingli, David , Jaffe, Allan S.

Blood | October 14, 2019 | Volume: 118 | Issue: 21 | Pages: 2887-2887

10.1182/blood.v118.21.2887.2887 Get It

Abstract Abstract 2887 Introduction: Cardiac involvement is the major cause of death in patients with immunoglobulin light chain amyloidosis (AL). Detection of cardiac involvement and risk stratification has been facilitated by cardiac biomarkers like troponin T (cTnT) and N-terminal brain natriuretic peptide (NT-proBNP). A novel high sensitivity cTnT (hs-cTnT) assay has been developed, and we evaluated its diagnostic use with three questions in mind: 1) How do the cTnT and hs-cTnT perform in the AL amyloid staging system? 2) Does higher sensitivity add significant additional value in terms of prognosticating outcomes for patients with AL amyloidosis? 3) Can the current AL amyloidosis staging system be further improved upon? Methods: Stored serum samples (-20°C) from 224 pts with AL were analyzed for concentrations of hsTnT, TnT, and NT-proBNP on the E170 Modular analyzer (Roche Diagnostics, Penzberg, Germany). 99th percentile reference limits were <0.014 and <0.010 mcg/L for hsTnT and TnT, respectively. Results: Median values for hsTnT, TnT, and NT-proBNP were 38 ng/L (range 0–075.4), 0.017 mcg/L (<0.0–0.904), and 1230 ng/L (0–32, 226), respectively. The correlation coefficient between hsTnT and TnT was 0.972. Those classified by echocardiographic parameters as having (n=143) or not having (n=81) cardiac involvement had TnT concentrations of 0.04 and 0.01 mcg/L and hsTnT levels of 52.2 and 15.6 ng/L, respectively. The direct numeric result from the hs-cTnT result CANNOT merely be substituted for a cTnT result in the Mayo AL staging system since 14% of patients would be misclassified. The performance of the receiver operation curve derived hs-cTnT cut-point of 54 ng/L is a slight improvement over the direct substitution of 35 ng/L if replacement of one assay for another is required. An alternate staging option using hs-cTnT alone—using the two thresholds14 ng/L and 54 ng/L (figure)—performs as well as either the original Mayo AL staging system or a derivative system incorporating hs-cTnT with respective relative risks of death (95%CI) of 3.6 (2.3, 5.7), 3.8 (2.5, 5.9), and 3.3 (2.2, .50). On multivariate analysis, our newly described alternate 3 level, hs-cTnT alone staging system is independent of other factors including period of diagnosis, type of therapy, and NT-proBNP value, the last of which dropped out of the model. Alternate models using NT-proBNP and cTnT were explored, but none performed better than the original staging system or the new hs-cTnT system. Conclusion: The direct numeric result from the hs-cTnT result cannot merely be substituted for a cTnT result in the Mayo amyloid staging system. Consideration could be made for AL staging systems using hs-cTnT alone and relegating the NT-proBNP for measuring cardiac response. Disclosures: Jaffe: Roche: Consultancy.