Citations

Abstract Comparative data guiding initial therapy for Waldenström macroglobulinemia (WM), an infrequently encountered non‐Hodgkin lymphoma, are sparse. We evaluated three commonly used rituximab‐based frontline regimens: rituximab‐bendamustine (R‐Benda); dexamethasone, rituximab, cyclophosphamide (DRC); and bortezomib, dexamethasone, rituximab (BDR) in 220 treatment‐naïve patients with WM, seen at Mayo Clinic between November 1, 2000 and October 31, 2019. The median follow‐up was 4.5 (95%CI: 4–5) years. The R‐Benda cohort (n = 83) demonstrated superior overall response rate (ORR: 98%), in comparison to DRC (n = 92, ORR: 78%) or BDR (n = 45, ORR: 84%) cohorts, p = 0.003. Similarly, longer progression‐free survival (PFS) was evident with R‐Benda use [median 5.2 vs. 4.3 (DRC) and 1.8 years (BDR), p < 0.001]. The time‐to‐next therapy (TTNT) favored R‐Benda [median, not‐reached, 4.4 (DRC) and 2.6 years (BDR), p < 0.001). These endpoints were comparable between the DRC and BDR cohorts. Overall survival (OS) was similar across the three cohorts, p = 0.77. In a subset analysis of 142 patients genotyped for MYD88 L265P mutation, the ORR, PFS and TTNT were unaffected by the patients' MYD88 signature within each cohort. In conclusion, ORR, PFS and TTNT with R‐Benda are superior compared to DRC or BDR in treatment‐naïve patients with active WM. The patient outcomes with any one of these three regimens are unaffected by the MYD88 L265P mutation status.

Abstract Patients with immunoglobulin M (IgM) light chain (AL) amyloidosis have a distinct clinical presentation compared with those with non-IgM amyloidosis. We hypothesized that differential immunoglobulin light-chain variable region (IGVL) gene usage may explain the differences in organ involvement, because IGVL usage correlates with organ tropism. IGVL usage was evaluated by mass spectrometry of amyloid deposits (IgM, n = 45; non-IgM, n = 391) and differed across the 2 groups. In the λ family, LV2-08 (13% vs 2%; P &lt; .001) and LV2-14 (36% vs 10%; P &lt; .001) usage was more common in IgM vs non-IgM amyloidosis, whereas LV1-44 (0% vs 10%; P = .02) and LV6-57 (2% vs 18%; P = .004) usage was less common. In the κ family, there was a trend toward higher KV4-01 (11% vs 4%; P = .06) usage in IgM amyloidosis. IGVL usage correlated with disease characteristics/organ tropism. LV2-14 (more common in IgM amyloidosis) has historically been associated with peripheral nerve involvement and lower light chain burden, which were more frequent in IgM amyloidosis. LV1-44 (less common in IgM), associated with cardiac involvement, was less frequent in IgM patients. LV6-57 (less common in IgM) is associated with t(11;14), which was less frequent in IgM patients. In conclusion, IGVL gene usage differs in patients with IgM vs non-IgM amyloidosis and may explain the distinct clinical presentation.

Abstract Background Light chain (AL) amyloidosis is a plasma cell neoplasm associated with high early mortality and severe morbidity that can cause severe disability. We explored the impact of AL amyloidosis on symptoms and well-being from the perspectives of patients and health care providers who regularly care for AL patients. We intended to develop a conceptual understanding of patient-reported outcomes in AL amyloidosis to identify the context of use and concept of interest for a clinical outcome assessments tool in this disease.Method Twenty patients and 10 professionals were interviewed. Patient interviews captured the spectrum of amyloidosis experience including time from diagnosis, type of organ involvement, and presence and type of treatment received. Interviews with professionals included physicians, advanced practice providers, registered nurse, and a patient advocate; these interviews covered similar topics. Results The impact of AL amyloidosis on patients’ life was multidimensional, with highly subjective perceptions of normality and meaning. Four major themes from patients and experts included diagnosis of AL amyloidosis, living with AL amyloidosis, symptom burden, and social roles. Barriers to patient-reported outcomes data collection in patients were additionally explored from experts. The themes provide a comprehensive understanding of the important experiences of symptom burden and its impact on daily life from AL amyloidosis patients’ and from the perspectives of professionals who care for patients with AL amyloidosis. Conclusion These findings further the conceptual understanding and identification of a preliminary model of concept of interest for development of a clinical outcome assessments tool for AL amyloidosis.

Abstract The utility of systemic light chain (AL) amyloidosis staging systems has been validated for newly diagnosed patients, but their role in restaging after treatment has not been explored. We designed this study to evaluate whether the currently used systems are of prognostic value at 3 and 6 months of starting first-line treatment, and whether stage migration from diagnosis impacts survival. This is a retrospective study including Mayo Clinic patients with AL amyloidosis diagnosed between 1 January 2006 and 30 June 2019; 536 and 204 patients had restaging data for at least 1 system at 3 and 6 months, respectively. Using modified Mayo 2004 staging at 3 months, median overall survival (OSs) were 11.8, 10.8, 4.6, and 1.1 years for stage I, II, IIIa, and IIIb, respectively. Using Mayo 2012, median OSs were 11.8, 9.0, 5.2, and 0.8 years for stage I, II, III, and IV, respectively. Using modified Mayo 2004 staging at 6 months, median OSs were not reached (NR), NR, 5.4, and 0.9 years for stage I, II, IIIa, and IIIb, respectively. Using Mayo 2012, OSs were NR, NR, 4.6, and 0.9 years for stage I, II, III, and IV, respectively. Worsening stage at 3 or 6 months was associated with worse survival than retaining baseline stage. In conclusion, the current staging systems can be used for restaging at 3 and 6 months from treatment initiation. Migration to higher stage predicts poor prognosis.

Background: Light chain (AL) amyloidosis is a rare disease in which deposits of insoluble amyloid derived from immunoglobulin light chains accumulate and cause dysfunction of organs including the heart and kidneys. In order to reverse organ damage and improve overall survival, treatment must provide rapid, deep, and sustained hematologic responses. Although therapies approved for the treatment of multiple myeloma have demonstrated some efficacy, there are currently no health authority-approved treatments for AL amyloidosis. A retrospective observational study was undertaken to characterize patients and describe treatment patterns in patients with AL amyloidosis from real-world data in the US. Methods: Data were extracted from Optum Electronic Health Records (EHR) and Optum Clinformatics Data Mart (claims) databases. Eligible patients had (1) a diagnosis of AL amyloidosis (ICD-10 code E85.81) on or after January 1, 2008 or (2) a diagnosis of amyloidosis (ICD-9 codes 277.30, 277.39; ICD-10 codes E85.89, E85.9) on or after January 1, 2008 and at least one line of therapy (LOT) comprising one or more of the following treatments: bendamustine bortezomib, carfilzomib, cyclophosphamide, daratumumab, dexamethasone, doxorubicin, elotuzumab, etoposide, interferon alfa-2a, interferon alfa-2b, ixazomib, lenalidomide, melphalan, panobinostat, pomalidomide, prednisone/prednisolone, thalidomide, vincristine, or autologous stem cell transplant. Patients were required to have continuous medical enrollment during the 365 days prior to the index amyloidosis diagnosis date (claims data) or have first active date at least 365 days prior to index amyloidosis date (EHR data), must not have had prior cancer in the 365-day period prior to the index amyloidosis diagnosis date, and must have been age ≥18 years at time of amyloidosis diagnosis. Patients treated with dexamethasone only or dexamethasone and prednisolone only for ≤90 days and those treated with prednisone/prednisolone only irrespective of duration were excluded. LOTs were defined by a start date, an end date, and a distinct regimen made up of ≥1 drugs. Patients may have multiple sequential LOTs during the available follow-up period. Comorbidities were scored according to the Charlson Comorbidity Index (CCI). A score of 0 reflects no comorbidities; higher scores reflect increased mortality risk and the maximum score is 24. Descriptive statistics are provided for patient characteristics at index diagnosis date for patients who had ≥1 LOT, distribution of regimens in each LOT, treatment attrition, and duration of treatment in each line of therapy and by regimen. Results: Data from 1688 patients (Optum claims, n=624; Optum EHR, n=1064) were included in the analysis (Figure). Median age at diagnosis was 67 years and 55.7% of patients were male. Almost 70% of patients had an index diagnosis date between 2013 and 2019. The median CCI score at index diagnosis date (based on comorbidities in the 365-day pre-index diagnosis period) was 1 and 10.9% of patients had a stem cell transplant on or after the index diagnosis date. The three most common comorbidities were hypertension (50.8%), renal failure (26.2%), and congestive heart failure (24.6%). Median follow-up period was 28 months. Treatment information for regimens used by ≥5% of patients for LOT1 is summarized in the Table. The most common treatment regimen for LOT1 was a proteasome inhibitor (PI), an alkylating agent, and a steroid (n=392, 23.2%); this combination was used for an average of 111 days. Of patients treated with this combination, the most common regimen was bortezomib, cyclophosphamide, and dexamethasone (VCd), used by 358 patients. Steroid only (dexamethasone for ≥90 days) regimens accounted for 16.4% and a PI ± steroid for 13.2% of LOT1. A limitation of the study is that assumptions were used to classify AL amyloidosis vs other types of amyloidosis. Conclusions: VCd is the most commonly used regimen in patients with newly-diagnosed AL amyloidosis. This is consistent with clinical guidelines and real world data from Europe (Palladini et al, EHA 2020), supporting this regimen as the current standard of care for treatment of patients with newly-diagnosed AL amyloidosis. Disclosures Dispenzieri: Celgene: Research Funding; Pfizer: Research Funding; Alnylam: Research Funding; Intellia: Research Funding; Janssen: Research Funding; Takeda: Research Funding. Zonder:Intellia, Amgen, Takeda, Janssen, Regeneron, Alnylam, Caelum, Oncopeptides: Consultancy; BMS, Celgene: Research Funding. Hoffman:Loxo: Current equity holder in publicly-traded company; Celgene: Honoraria, Speakers Bureau. Wong:Sanofi: Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding; Fortis: Research Funding; Roche: Research Funding; GSK: Research Funding; Amgen: Consultancy; Bristol Myers Squibb: Research Funding. Liedtke:Adaptive: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria. Abonour:BMS: Consultancy, Research Funding; Takeda: Consultancy; Janssen: Honoraria, Research Funding; Celgene: Consultancy. D'Souza:Amgen, Merck, TenoBio: Research Funding; Akcea, Imbrium, Janssen, Pfizer: Consultancy. Lee:Janssen: Current Employment. Nair:Janssen: Current Employment. Potluri:SmartAnalyst Inc.: Current Employment. Weiss:Janssen: Current Employment, Current equity holder in publicly-traded company. Vermeulen:Janssen: Current Employment, Current equity holder in publicly-traded company. Lam:Janssen: Current Employment. Mehra:Janssen: Current Employment.

BACKGROUND: Advances in novel therapies and supportive care have contributed to improved outcomes for patients with Multiple myeloma (MM) and Light Chain Amyloidosis (AL). This progress comes at a high price; with high financial costs to patients increasing distress, decreasing compliance, and even decreasing survival. Our aim was to screen patients for financial distress and understand its impact on various domains of health-related quality of life (HRQOL). METHODS: We conducted a prospective study of adult patients with MM or AL that received follow-up care at Mayo Clinic, Rochester, MN. Financial distress was measured using the validated COmprehensive Score for financial Toxicity (COST) questionnaire; high financial distress was defined as a score of 23 or less. HRQOL was measured using the Patient Reported Outcome Measurement Information System (PROMIS)-29 questionnaire. Baseline demographic information and clinical characteristics were abstracted from the medical record. Statistical analysis included descriptive statistics, Spearman correlations, and comparison of COST scores between groups by Jonckheere-Terpstra, Kruskal-Wallis, and Wilcoxon rank-sum tests for ordered, unordered, and binary categorical variables, respectively. RESULTS: Patients: To date 77 patients (MM 64 [83%], AL 13 [17%]) have been enrolled, 55% male, 53% age 65 or older (18% &lt;55), 91% White (5% Black), 92% non-Hispanic, 56% at least some college, 47% income at least US$75K/year (25% &lt;US 50K/year), 36% employed (49% retired), 73% married (14% divorced) and 22% traveled at least 300 miles to clinic. Clinical characteristics included 45% newly diagnosed, 55% relapsed/refractory disease. 66% had been transplanted previously. Insurance types included 52% Medicare (44% private insurance) with 27% overall reporting supplemental insurance. Financial Distress: The mean COST score was 26.5 (SD 10.0) with 42% reporting high financial distress. PROMIS-29 domain descriptive statistics appear in Table 1. Higher financial distress was significantly associated with higher anxiety, depression, and pain (all p&lt;0.05). Group Differences: Financial distress significantly differed by gender, education, marital status, employment status, income, insurance type, and distance traveled reported in Table 2. Financial distress was higher: in women than men (p=0.003); in high school graduates vs those who attended some college or more (p=0.03); in divorced versus married individuals (p=0.02); among unemployed or disabled versus employed versus retired people (p=0.04); in those with income &lt;US$50K/year versus US$50K-&lt;$75K/year versus at least US$75K/year (p&lt;0.001); among those with Medicaid vs private insurance versus Medicare (p=0.02); and for those whose distance from Mayo was at least 300 miles vs &lt; 300 miles (p=0.03). Differences in age neared but failed to reach strict statistical significance (age 35-54: mean 22.4, SD 12.1; age 55-64: mean 26.5, SD 9.5; age 65+: mean 28.0, SD 9.2; p=0.051). Financial distress did not significantly differ by race, ethnicity, diagnosis, disease status (newly diagnosed/relapsed), prior transplant, or supplemental insurance, though some subgroups were small. CONCLUSION: Financial distress was prevalent in this well-educated and high earning MM and AL cohort that is able to receive tertiary care at Mayo Clinic. This financial distress was moderate to strongly associated with anxiety and pain intensity, and mild to moderately associated with depression and pain interference. Longitudinal assessment is ongoing. Disclosures Dispenzieri: Takeda: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Pfizer: Research Funding; Alnylam: Research Funding; Intellia: Research Funding.

Introduction: Cardiac involvement is one of the main predictors for survival in patients with light chain (AL) amyloidosis. Biomarkers such as Troponin T and N-terminal pro b-type natriuretic peptide (NT-proBNP) are used routinely for detecting cardiac involvement. In addition echocardiogram (ECHO) is used to determine septal and left ventricular wall thickness and strain. Most patients with AL present with preserved ejection fraction (EF) however, the outcomes of AL patients undergoing autologous stem cell transplantation (ASCT) with decreased EF are not very well described. Methods: We retrospectively reviewed patients who had a diagnosis of AL amyloidosis and received ASCT between March 1996 and September 2017. All patients had an ECHO done before ASCT and the EF was documented. In our practice, the threshold for performing ASCT is an EF &gt;40%. We evaluated the outcomes of patients who had an EF &lt;55% compared to patients with an EF ≥55%. The baseline characteristics were compared between patients with high and low EF. Progression-free survival (PFS) was defined as time from ASCT to disease progression, relapse, or death of any cause. Overall survival (OS) was calculated from time of ASCT to death of any cause. Univariate and multivariate analysis for PFS and OS were done using the following variables: age&gt;65 vs. ≤65 years, Mayo 2012 stage 3/4 vs. 1/2, bone marrow plasma cell percentage (BMPC) ≥ 10% vs. &lt;10%, organs involved &gt;2 vs. ≤2, melphalan conditioning 200mg/m2 vs. 140 mg/m2 ,ASCT year &gt;2010 vs. ≤2010, and EF &lt;55% vs. ≥55%. Results: We identified 716 patients and 69 (10%) had an EF&lt;55%, with most (n=63, 91%)having cardiac involvement . Compared to patients with EF ≥55%, patients with EF &lt;55% were more likely to have Mayo 2012 stage 3/4 (58% vs. 22%, P&lt;0.0001) and more likely to have thicker interventricular septum (median 14 vs. 12 mm, P&lt;0.0001). The day 100 transplant related mortality (TRM) was higher in patients with EF &lt;55% compared to EF ≥55% (19% vs. 6%, P=0.0006). In patients with Mayo 2012 stage 3/4, the day 100 TRM was higher in patients with an EF&lt;55% compared to EF ≥55% (27% vs. 7%, P=0.004). Overall, PFS and OS were significantly shorter in patients with EF &lt;55% compared to patients with EF ≥55% (Figure 1 A,B). Evaluating PFS and OS according to EF specifically in Mayo 2012 stage 3/4 patients is displayed in Figure 1 (C,D). Predictors for PFS included Mayo 2012 stage 3/4 vs. 1/2 (hazard ratio (HR): 1.4, P=0.006), BMPC ≥ 10% vs. &lt;10% (HR: 1.5,P=0.0005), melphalan conditioning 200mg/m2 vs. 140 mg/m2 (HR:0.7, P=0.01), ASCT year &gt;2010 vs. ≤2010 (HR: 0.7, P=0.01), and EF &lt;55% vs. ≥55% (HR: 1.5, P=0.02). For OS, age &gt;65 vs. ≤65 years (HR:1.4, P=0.04), Mayo 2012 stage 3/4 vs. 1/2 (HR: 1.96, P&lt;0.0001), melphalan conditioning 200mg/m2 vs. 140 mg/m2 (HR:0.5, P&lt;0.0001), BMPC ≥ 10% vs. &lt;10% (HR: 1.8, P=0.03), ASCT year &gt;2010 vs. ≤2010 (HR: 0.5, P&lt;0.0001), and EF &lt;55% vs. ≥55%(HR:1.9, P=0.003) were predictive. Conclusion: Having an EF &lt;55% is associated with a higher day 100 TRM and is an independent predictor for PFS and OS in patients with AL amyloidosis undergoing ASCT. Disclosures Sidiqi: Janssen: Honoraria; Amgen: Honoraria; Celgene: Honoraria, Other: Travel grant. Dingli:Alexion: Consultancy; Apellis: Consultancy; Sanofi-Genzyme: Consultancy; Millenium: Consultancy; Bristol Myers Squibb: Research Funding; Karyopharm Therapeutics: Research Funding; Janssen: Consultancy; Rigel: Consultancy. Kapoor:Janssen: Research Funding; GlaxoSmithKline: Research Funding; Cellectar: Consultancy; Sanofi: Consultancy, Research Funding; Celgene: Honoraria; Takeda: Honoraria, Research Funding; Amgen: Research Funding. Dispenzieri:Janssen: Research Funding; Pfizer: Research Funding; Alnylam: Research Funding; Intellia: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Kumar:AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Dr. Reddy's Laboratories: Honoraria; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Kite Pharma: Consultancy, Research Funding; Novartis: Research Funding; Sanofi: Research Funding; MedImmune: Research Funding; Karyopharm: Consultancy; BMS: Consultancy, Research Funding; Tenebio: Other, Research Funding; Genecentrix: Consultancy; Cellectar: Other; Carsgen: Other, Research Funding. Gertz:Spectrum: Other: personal fee, Research Funding; Janssen: Other: personal fee; Sanofi: Other; Research to Practice: Other; Celgene: Other; Medscape: Other: personal fee, Speakers Bureau; Proclara: Other; DAVA oncology: Speakers Bureau; Alnylam: Other: personal fee; Johnson and Johnson: Speakers Bureau; Physicians Education Resource: Other: personal fee; Teva: Speakers Bureau; Ionis/Akcea: Other: personal fee; Amgen: Other: personal fee; Springer Publishing: Patents & Royalties; Aurora Bio: Other; Appellis: Other: personal fee; Abbvie: Other; Annexon: Other: personal fee; Prothena: Other: personal fee.

Background: Bortezomib, a proteasome inhibitor, has shown efficacy in the treatment of newly diagnosed and relapsed light chain (AL) amyloidosis, and the combination of bortezomib, cyclophosphamide and dexamethasone is a commonly used regimen in AL. Ixazomib is the first oral proteasome inhibitor to be approved, and the combination of ixazomib with cyclophosphamide and dexamethasone is an all oral effective regimen for the treatment of multiple myeloma. This phase 2 trial was designed to evaluate the efficacy of this regimen in patients with AL, who have not received any therapy. Patients and methods: Newly diagnosed patients with biopsy proven AL amyloidosis, with organ involvement requiring therapy, were enrolled if they had measurable disease (Serum immunoglobulin free light chain ≥5 mg/dL AND abnormal serum free light chain ratio) and adequate organ function. Patients with severe organ involvement were excluded (Alkaline phosphatase &gt;750 U/L, creatinine clearance &lt;30 mL/min or NT-ProBNP ≥ 7500 ng/dL). Treatment consisted of ixazomib 4 mg days 1, 8, 15; cyclophosphamide 500 mg PO weekly and dexamethasone 40 mg, weekly for twelve 28-day cycles, followed by ixazomib maintenance (days 1, 8, 15) at the last tolerated dose till progression. The primary objective was to determine the hematologic response rate of ixazomib, used in combination with cyclophosphamide and dexamethasone in patients with previously untreated AL. A one-stage binomial design was utilized to test the null hypothesis that the hematologic response rate is at most 30% against the alternative hypothesis that it is at least 50%, with 85% power and 9% type I error. Results: Thirty-five patients were enrolled, median age was 67 (range 38-78) years; 69% were male. Organ involvement included cardiac in 23 (65.7%), renal in 19 (54.3%), and nervous system involvement in 5 (14.3%). At data cutoff 8 patients still remain on study with a median follow up of 4.4 months for those who are alive. Across the trial a median of 4 cycles (range 0-23) of treatment have been completed; the most common reason for going off study was institution of alternate therapy in 17 patients (63%). The overall hematologic response was 57% (20/35) and included amyloid CR in 5 (14%), VGPR in 9 (26%) and a PR in 6 (17%) patients. Confirmed organ responses have been observed in 5 patients so far, 2 each for cardiac and renal and 1 hepatic. The median PFS and OS have not been reached; 4 patients had hematological progression; 6 patients (17%) have died. Across 193 cycles of treatment administered, dose modification was required in 5, 3, and 10 patients, respectively, for ixazomib, cyclophosphamide and dexamethasone. A grade 3 or higher adverse event (AE), at least possibly attributed to the study drugs, was observed in 41% of patients. The figure shows the maximum grade of adverse events for individual patients seen in more than one patient across the study. Conclusions: The all-oral regimen of ixazomib, cyclophosphamide, and dexamethasone is active in patients with previously untreated AL amyloidosis with hematologic responses observed in 57% of patients, including complete responses. Organ response has been observed but will likely need longer follow up for accurate assessment, given the delay in organ responses in this disease. Further evaluation of this combination is warranted. Disclosures Gertz: Alnylam: Consultancy; Ionis/Akcea: Consultancy; Amgen: Consultancy; Medscape: Consultancy, Speakers Bureau; Physicians Education Resource: Consultancy; Data Safety Monitoring board from Abbvie: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Advisory Board for Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Advisory Board for Proclara: Membership on an entity's Board of Directors or advisory committees; i3Health: Consultancy; Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding; NCI SPORE MM: Research Funding; Prothena: Consultancy; Sanofi: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Annexon: Consultancy; Appellis: Consultancy. Kapoor:Celgene: Honoraria; GlaxoSmithKline: Research Funding; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Cellectar: Consultancy. Larsen:Janssen Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Dingli:Apellis: Consultancy; Janssen: Consultancy; Sanofi-Genzyme: Consultancy; Rigel: Consultancy; Bristol Myers Squibb: Research Funding; Karyopharm Therapeutics: Research Funding; Alexion: Consultancy; Millenium: Consultancy. Dispenzieri:Janssen: Research Funding; Intellia: Research Funding; Alnylam: Research Funding; Celgene: Research Funding; Pfizer: Research Funding; Takeda: Research Funding. Kumar:Adaptive Biotechnologies: Consultancy; Carsgen: Other, Research Funding; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; Dr. Reddy's Laboratories: Honoraria; Tenebio: Other, Research Funding; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; BMS: Consultancy, Research Funding; Sanofi: Research Funding; Novartis: Research Funding; Kite Pharma: Consultancy, Research Funding; Karyopharm: Consultancy; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Merck: Consultancy, Research Funding; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Cellectar: Other; MedImmune: Research Funding.