Go, Ronald S.

Background: The absence of residual monoclonal protein in the serum and urine by IFE using specific antibodies to individual heavy and light chains has been an important part of response assessment and is required for categorizing patients as in complete response. MASS FIX has been shown to be more sensitive in picking up small amounts of monoclonal protein and represents an advancement in the field. Ongoing studies are examining the clinical significance of this increased sensitivity. We designed the following study using clinically obtained test results to examine this question. Patients and methods: The clinical laboratory at Mayo Clinic changed the process from IFE to MASS FIX in July 2018. We identified patients who had sequential testing before and after this date and collected test results from the last IFE prior to the date of transition and the first MASS FIX after the date of transition. Patients were grouped based on the paired results and outcomes compared between groups. Time to next therapy (TTNT) was defined as the time from the first MASS FIX date to the start of next therapy. Survival was estimated by the Kaplan-Meier method and these curves were compared using log rank test. Results: Overall, 739 patients with MM, who had a MASS FIX within 12 months of the IFE were studied; 380 (51%) patients had a negative IFE prior to implementation of MASS FIX. These patients had a MASS FIX test performed at a median of 3.7 (0.03-12) months from the last available IFE. The gap between IFE and MASS FIX was <6 months and < 3 months in 71% and 54% of the patients. Among the patients with a negative IFE, 130 (34%) tested positive on the subsequent MASS FIX. Limiting the analysis to those with a MASS FIX within 6 and 3 months yielded 32% in each group that turned positive from previous negative IFE. The median TTNT from the MASS FIX date was significantly shorter for those who became positive on MASSFIX; median was not reached for either group (P=0.002) (Figure). We then limited the analysis to those patients with a gap of <6 months and <3 months between the tests. The results were consistent: P= 0.012 for those with a gap of < 6 months and P=0.01 for those with a gap < 3 months. Conclusion: The results suggest that the additional sensitivity offered by MASS FIX have clinical significance in patients with MM, given that patients with residual disease identified by MASS FIX have an earlier relapse. The data supports the use of the more sensitive MASS FIX in the laboratory compared to the conventional IFE approaches. The study has the disadvantage that the samples were not tested simultaneously and some of the samples turning positive may reflect an early evidence of relapse, but the relative consistency of the finding irrespective of the gap between the tests argues against that. Ongoing studies are examining MASS FIX on the samples that were called to be negative by IFE initially. Figure Disclosures Murray: The Binding Site: Patents & Royalties: Patent Use of Mass Spec to identify monoclonal proteins licensed to The Binding Site. Dispenzieri:Takeda: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Intellia: Research Funding; Pfizer: Research Funding; Alnylam: Research Funding. Kapoor:Cellectar: Consultancy; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Celgene: Honoraria; Takeda: Honoraria, Research Funding; GlaxoSmithKline: Research Funding; Amgen: Research Funding. Gertz:Janssen: Other: personal fee; Spectrum: Other: personal fee, Research Funding; Springer Publishing: Patents & Royalties; Abbvie: Other; Appellis: Other: personal fee; Annexon: Other: personal fee; Celgene: Other; Amgen: Other: personal fee; Physicians Education Resource: Other: personal fee; Medscape: Other: personal fee, Speakers Bureau; Research to Practice: Other; Sanofi: Other; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Proclara: Other; Aurora Bio: Other; Prothena: Other: personal fee; Alnylam: Other: personal fee; Ionis/Akcea: Other: personal fee. Dingli:Karyopharm Therapeutics: Research Funding; Bristol Myers Squibb: Research Funding; Rigel: Consultancy; Sanofi-Genzyme: Consultancy; Millenium: Consultancy; Alexion: Consultancy; Janssen: Consultancy; Apellis: Consultancy. Lin:Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Takeda: Research Funding; Gamida Cells: Consultancy; Sorrento: Consultancy, Membership on an entity's Board of Directors or advisory committees; Vineti: Consultancy; Legend BioTech: Consultancy; Merck: Research Funding; Novartis: Consultancy; Celgene: Consultancy, Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy. Kumar:Dr. Reddy's Laboratories: Honoraria; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Carsgen: Other, Research Funding; BMS: Consultancy, Research Funding; Karyopharm: Consultancy; Tenebio: Other, Research Funding; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Adaptive Biotechnologies: Consultancy; Kite Pharma: Consultancy, Research Funding; Sanofi: Research Funding; 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; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; MedImmune: Research Funding; Cellectar: Other; Genecentrix: Consultancy; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Novartis: Research Funding.

Background: The combination of a proteasome inhibitor (PI), an immunomodulatory drug (IMiD), and dexamethasone is the current standard induction therapy for myeloma. Daratumumab (Dara), a monoclonal antibody directed against CD38, is highly effective in treating myeloma and improves response rates and progression free survival (PFS) when added to PI or IMiD. Ixazomib, lenalidomide and dexamethasone (IRd) is an effective, all oral, induction regimen that has been studied in phase 2 and 3 trials. We designed this trial to examine the feasibility and efficacy of adding daratumumab to the IRd regimen as well as early discontinuation of dexamethasone in two sequential cohorts of patients. Patients and Methods: Patients with previously untreated MM who had measurable disease and adequate organ function were enrolled, irrespective of their autologous stem cell transplant eligibility. The primary objective was to determine the rate of complete response to IRD-Dara combination. A one-stage binomial design was utilized in each cohort independently to test the null hypothesis that the complete response rate is at most 25% against the alternative hypothesis that it is at least 45%, with 89% power and 9% type I error. Treatment involved 28-day cycles consisting of ixazomib 4 mg days 1, 8, 15; lenalidomide 25 mg days 1-21, dexamethasone 40 mg, weekly and Dara 16 mg/kg, weekly for two cycles, every other week during cycles 3-6 and then every 4 weeks thereafter during induction (12-cyles) followed by Dara-ixazomib maintenance (maximum 24 cycles). Cohorts A (n=38) and B (N=40) comprised the study population, with dexamethasone discontinued after two cycles in Cohort B. Results: Baseline demographics and patient disposition are outlined in the table. Among those who have gone off study, 9 and 5 patients, respectively in Cohort A and B went off for progression, while 11 and 8 patients in the respective arms discontinued treatment for an alternative therapy, most frequently a transplant. Responses were rapid and deepened over the duration of treatment as shown in the figure; 32% of patients in Cohort A and 28% of patients in Cohort B achieved a complete response; 29% and 23%, respectively, achieved a marrow minimal residual disease (MRD) negative status. After a median follow up was 31.4 months for Cohort A and 18.2 months for Cohort B, median PFS has not been reached in either cohort. A grade 3 or higher adverse event at least possibly attributed to the study drugs was seen in 58% of patients in Cohort A (hematologic in 47% and non-hematologic in 26%) and 50% of patients in Cohort B (hematologic 43%, non-hematologic 20%). The most common toxicities included fatigue, neutropenia, lymphopenia, peripheral neuropathy and nausea. Stem cells were collected in 30 and 31 patients in Cohorts A and B respectively; median (range) of CD34 cells/kg were 8.5 (2.8, 15.9) x 106and 7.0 (2.9, 12.1) x 106, with plerixafor used in 83% and 94% of patients, respectively, in Cohorts A and B as per our standard of care "on-demand" approach based on blood CD34 count. Conclusion: Dara-IRd is an active regimen in newly diagnosed MM, with high overall rates of response and deep responses that improved over time with therapy. Early discontinuation of dexamethasone does not appear to impact the depth, rate or kinetics of response. The toxicities were manageable, with dose modifications. All patients were able to collect stem cells when required, though majority needed plerixafor. Disclosures Kumar: Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Kite Pharma: Consultancy, Research Funding; Carsgen: Other, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Cellectar: Other; Dr. Reddy's Laboratories: Honoraria; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: 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; Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Tenebio: Other, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; Sanofi: Research Funding; Novartis: Research Funding; MedImmune: Research Funding; Karyopharm: Consultancy; BMS: Consultancy, Research Funding. Kapoor:GlaxoSmithKline: Research Funding; Celgene: Honoraria; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Cellectar: Consultancy. Dingli:Apellis: Consultancy; Karyopharm Therapeutics: Research Funding; Janssen: Consultancy; Bristol Myers Squibb: Research Funding; Alexion: Consultancy; Rigel: Consultancy; Millenium: Consultancy; Sanofi-Genzyme: Consultancy. Dispenzieri:Pfizer: Research Funding; Takeda: Research Funding; Alnylam: Research Funding; Janssen: Research Funding; Celgene: Research Funding; Intellia: Research Funding. Gertz:Abbvie: Other; Sanofi: Other; Celgene: Other; Research to Practice: Other; Physicians Education Resource: Other: personal fee; Amgen: Other: personal fee; Medscape: Other: personal fee, Speakers Bureau; Appellis: Other: personal fee; Annexon: Other: personal fee; Alnylam: Other: personal fee; Spectrum: Other: personal fee, Research Funding; Janssen: Other: personal fee; Teva: Speakers Bureau; Aurora Bio: Other; Springer Publishing: Patents & Royalties; Proclara: Other; DAVA oncology: Speakers Bureau; Johnson and Johnson: Speakers Bureau; Ionis/Akcea: Other: personal fee; Prothena: Other: personal fee.

Background: Newly diagnosed patients with AL Amyloidosis are a heterogeneous population, ranging from incidentally found nephrotic syndrome to delayed advanced cardiac disease. For the purposes of trials, patients with the highest-risk disease are often excluded from trial participation. An NT-proBNP of 8500 or higher is the criterion most often used for exclusion from clinical trials due to high rates of early death. It is well documented that overall survival is improving over time, in part due to earlier diagnosis and in part due to more effective therapies. It is our aim to describe outcomes of patients with very high (NT-proBNP >=8500) and advanced stage amyloidosis excluding very high (VH) NT-proBNP. Methods: To address this need, we examined the outcomes of AL patients diagnosed between 1/2012 and 7/2020 and seen at our institution within 90 days of diagnosis. Of the 1290 patients, 291 were seen beyond the 90 day threshold and were thus excluded. Another 170 patients were excluded due to missing biomarkers to calculate stage, leaving 829 patients for our analysis. Thresholds for troponins and BNPs were used according to Muchtar Blood 133(7):2019 to correct for assay used. The vast majority of patients had troponin T measured, and for them the 0.025 mcg/L and the 0.035 mcg/L cut-points were used for the 2012 and 2004 staging systems. A minority of patients did not have troponin T, but rather high sensitivity troponin T (n=129) or troponin I (n=23). For patients with high sensitivity troponin T, cut-points of 41 and 50 ng/L were used, respectively, for the 2012 and 2004 systems, and for patients with troponin I only, a cut-point of 0.1 mcg/L was used for both systems. In the 3 patients with no NT-proBNP but with BNP, 400 and 81 ng/L were used respectively for the 2012 and 2004 systems; otherwise, the 1800 ng/L and 332 ng/L cut-offs were used. A BNP of > 700 ng/L was considered equivalent to NT-proBNP greater than or equal to 8500 ng/L. For the 2012 system, the dFLC of 18 mg/dL was used as a cut-off. Survival estimates were done using the method of Kaplan-Meier, and differences in survival were by determined by Log-Rank. Results: The median age of patients was 65 (range 29, 89), and 65% were male. 148 (17%) of these newly diagnosed patients had a VH (>=8500) NT-proBNP. Patients with VH NT-proBNP were older (67 versus 64 years, p=0.004). Only 4% of the VH NT-proBNP patients received an ASCT in contrast to 34% without VH NT-proBNP. With a median follow-up of 30 months for surviving patients, median OS for VH NT-proBNP patients was 3.3 months in contrast to patients without VH NT-proBNP at 68.4 months (Figure). Breakdown of early death for patients with VH NT-proBNP by stage is shown in Table. Of Mayo 2012 patients staged I, II, III, and IV, the percent of patients with VH NT-proBNP was 0, 3, 20, and 45%. In contrast, for the European modification of the Mayo 2004 system, the percent with VH NT-proBNP by stage was 0, 6, 0, 100 for stages I, II, IIIa, and IIIb, respectively. Among the VH NT-proBNP patients, there was stage discrimination using the Mayo 2012 system (6-month death rates were 17, 45, and 66% for patients with stages II, III, and IV, respectively, p=0.02). In contrast, using the Mayo 2004 system in the patients with VH NT-proBNP, 6-month death rates were 45 and 60% for stage II and IIIb patients, respectively (p= 0.12). Among patients without VH NT-proBNP, rates of death in the first year were 21% including stage I patients whose death rates were well under 10%. Patients without VH NT-proBNP but Mayo 2012 Stage III and IV had 1-year mortalities of 28 and 43% respectively. Using the modified Mayo 2004 system, excluding the VH NT-proBNP 1-year mortality was 19 and 37% for patients with stage II and IIIa, respectively. Discussion: Establishing expected outcomes for the sickest AL amyloidosis patients is a means by which trials can be designed for these patients with an unmet need. Patients with VH NT-proBNP should be considered for specially designed trials, and patients without VH NT-proBNP and advanced stage should be included in trials for newly diagnosed patients regardless of stage as long as there is appropriate stratification. Disclosures Dispenzieri: Janssen: Research Funding; Pfizer: Research Funding; Intellia: Research Funding; Alnylam: Research Funding; Celgene: Research Funding; Takeda: Research Funding. Kumar:AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Tenebio: Other, Research Funding; BMS: Consultancy, Research Funding; Sanofi: Research Funding; Carsgen: Other, Research Funding; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; 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; Adaptive Biotechnologies: Consultancy; Dr. Reddy's Laboratories: Honoraria; Novartis: Research Funding; MedImmune: Research Funding; Genecentrix: Consultancy; Kite Pharma: Consultancy, Research Funding; Cellectar: Other; Karyopharm: Consultancy; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments. Dingli:Karyopharm Therapeutics: Research Funding; Bristol Myers Squibb: Research Funding; Millenium: Consultancy; Janssen: Consultancy; Alexion: Consultancy; Rigel: Consultancy; Apellis: Consultancy; Sanofi-Genzyme: Consultancy. Kapoor:Celgene: Honoraria; Cellectar: Consultancy; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; GlaxoSmithKline: Research Funding. Lin:Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Novartis: Consultancy; Celgene: Consultancy, Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy; Legend BioTech: Consultancy; Merck: Research Funding; Takeda: Research Funding; Gamida Cells: Consultancy; Sorrento: Consultancy, Membership on an entity's Board of Directors or advisory committees; Vineti: Consultancy. Gertz:Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding; NCI SPORE MM: Research Funding; Ionis/Akcea: Consultancy; Alnylam: Consultancy; Prothena: Consultancy; Sanofi: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Annexon: Consultancy; Appellis: 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.

Background: Primary myelofibrosis (PMF) has the worst prognosis of the classical BCR-ABL1 negative myeloproliferative neoplasms, with a median overall survival of six years. Factors affecting survival include age, symptom burden, cytopenias, mutation profile, and development of second malignancies including transformation to acute myeloid leukemia (AML). Ruxolitinib, a selective JAK1 and JAK2 inhibitor, was granted approval by the United States (US) Food and Drug Administration for treatment of intermediate and high-risk PMF in November 2011 based on reduction in spleen volume and demonstration of symptom improvement. The impact of ruxolitinib on PMF survival is unknown. In this study, we aimed to evaluate whether there has been a change in survival and patterns of second primary malignancies (SPMs) including AML transformation among PMF population in US after ruxolitinib approval. Methods: Using the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-18 survival and Multiple Primary Standardized Incidence Ratio (MP-SIR) registries, we conducted a retrospective study with patients diagnosed with PMF between the years of 2007 and 2016. We divided these patients into two five-year cohorts, pre-ruxolitinib approval (2007-2011) and post-ruxolitinib approval (2012-2016), and compared relative survival rates (RSRs) and standardized incidence ratios (SIRs) of SPMs between the cohorts. SIRs were calculated as the ratio of observed to expected malignancy cases over the specified time periods. Median follow-up duration was five years for each cohort. RSRs and SIRs were compared between cohorts using two-proportion Z-tests. Results: We included 2164 patients diagnosed with PMF between 2007 and 2016 with data available in the SEER-18 survival and MP-SIR registries. Of these, 1051 (49%) patients were included in the pre-ruxolitinib cohort and 1113 (51%) patients were included in the post-ruxolitinib cohort. There was no significant difference in the four-year RSRs between the pre-ruxolitinib and post-ruxolitinib cohorts (55% vs. 56%, p = 0.719). A higher proportion of SPMs occurred in the post-ruxolitinib cohort when compared with the pre-ruxolitinib cohort (60% vs. 40%, p < 0.001). Hematologic malignancies comprised a majority of all SPMs (AML 39% and non-Hodgkin lymphoma 16%). A higher incidence of AML transformation occurred in the post-ruxolitinib cohort when compared with the pre-ruxolitinib cohort (SIR 121.48 vs. 72.22, p = 0.037). Non-hematologic malignancies were also more common in the post-ruxolitinib cohort when compared with the pre-ruxolitinib cohort (SIR 1.09 vs. 0.94, p < 0.001). The most common non-hematologic malignancies were cancers of the respiratory tract, urinary tract, and prostate gland, though their SIRs were not significant in either cohort. Conclusions: Our study results suggest that despite improvements in prognostication and the approval of ruxolitinib, the prognosis of PMF remains poor in the US. These results may be due to low uptake of ruxolitinib in practice or a lack of benefit from the drug itself. Additionally, for reasons that are unclear, SPM incidence has increased in the five years following the approval of this drug. Further studies should be conducted to determine the cause of these findings. Figure Disclosures Shah: Dren Bio: Consultancy. Vachhani:astellas: Speakers Bureau; agios, blueprint medicines, jazz pharmaceuticals, daiichi sankyo: Membership on an entity's Board of Directors or advisory committees; incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

Introduction: Langerhans cell histiocytosis (LCH) is a rare MAPK-ERK pathway driven histiocytic neoplasm that occurs in pediatric as well as adult population. Despite improvement in clinical outcomes, there is some data to suggest an increased propensity to develop second primary malignancies (SPMs) in LCH patients. However, population-based studies analyzing the incidence and spectrum of SPMs in pediatric and adult LCH patients are lacking. In this study, we utilized the Surveillance, Epidemiology and End Results (SEER) database to examine the various SPMs occurring among pediatric and adult LCH cases. Methods: We used the November 2018 submission of the SEER 18 registry, which covers ~27.8% of the US population based on the 2010 census, as our database. We used the SEER*Stat version 8.3.6 statistical software to analyze data. We identified cases diagnosed with LCH as their first primary malignancy between 2000 and 2016 using International Classification of Diseases for Oncology edition 3 (ICD-O-3) codes, including LCH NOS (not otherwise specified) (9751/1), LCH (9751/3), LCH, unifocal (9752/1), LCH, multifocal (9753/3), LCH, disseminated, borderline (9754/1) and Disseminated LCH (9754/3). These cases were followed for 180+months, and the standardized incidence ratio (SIR) or relative risk and absolute excess risk (AER) were calculated. We examined the differences in occurrence of SPMs among the pediatric (Age <18 years) and adult population (Age ≥18 years). Additionally, we evaluated the concurrent and prior cancers in LCH patients as an exploratory objective. Results: The study included 1392 cases with LCH (Table 1), with median age at diagnosis 8 years (range newborn - 86 years). Out of these cases, 1205 (87%) were diagnosed as LCH and 186 (13%) as disseminated LCH. 936 cases (67%) were diagnosed at age <18 years (pediatric LCH), while 456 cases (33%) were diagnosed at age ≥18 years (adult LCH). The overall age-adjusted incidence rate for LCH was found to be 1 per 1,000,000. The incidence rate was 2.6 per 1,000,000 in pediatric LCH group and 0.4 per 1,000,000 in the adult LCH group. Out of the entire cohort, 20 (1.4%) cases developed a total of 21 SPMs [SIR 2.07; 95% Confidence Interval (CI): 1.28-3.16]. Median latency period to development of SPMs was 28 months. The pediatric LCH group had an overall higher risk of developing SPMs [SIR 6.42, 95%CI 2.08-14.97] than the general population, especially for hematologic malignancies [SIR 18.76, 95%CI 6.09-43.78], mainly, nodal Hodgkin lymphoma [SIR 60.93, 95%CI 7.38-220.12] and extranodal non-Hodgkin lymphoma [SIR 60.88, 95%CI 1.54-339.2]. No solid tumors were seen in this group. The adult LCH group did not have an overall increased risk of developing SPMs than the general population [SIR 1.71, 95%CI 0.98-2.77], except for Acute Lymphocytic Leukemia (ALL) [SIR 66.29, 95%CI 1.68-369.36] especially 60-119 months from diagnosis of LCH and miscellaneous cancers [SIR 11.43, 95%CI 2.36-33.39] especially 12-59 months after diagnosis of LCH. 62.5% of SPMs that developed in the adult LCH group were solid tumors, however, the overall risk for developing solid tumors was not higher than the general population [SIR 1.2, 95%CI 0.58-2.2], except for carcinoma in-situ of vulva [SIR 62.72, 95%CI 1.59-349.45] 2-11 months from diagnosis of LCH. Overall, tumors of the respiratory system (21%), female breast (13%) and prostate (9%) were the most common malignancies occurring prior to development of LCH whereas tumors of the respiratory system (28%), non-Hodgkin lymphoma (20%) and endocrine system (13%) occurred concurrent to LCH. Conclusion: To our knowledge, this is the first comprehensive population-based study assessing the incidence of SPMs in pediatric and adult LCH. Our study shows that the incidence of LCH is higher in the pediatric age group compared to adults. We found an increased risk for hematologic malignancies, specifically for Hodgkin and non-Hodgkin lymphoma in pediatric LCH compared to the general population. Among adult LCH, however, the risk was higher for development of ALL and carcinoma in-situ of vulva when compared to the general population. Our results may help guide survivorship and surveillance strategies among LCH patients. More studies are needed to understand the molecular underpinning leading to increased SPM formation in LCH patients. Disclosures No relevant conflicts of interest to declare.

Introduction: Polycythemia Vera (PV), Essential Thrombocythemia (ET), and Primary Myelofibrosis (PMF) are BCR/ABL1-negative myeloproliferative neoplasms (MPN) that are associated with morbidity and increased mortality. Limited data regarding population-based outcomes for these MPNs have been reported. Our aim was to use the Surveillance, Epidemiology, and End Results (SEER) registry to investigate population based outcomes for PV, ET, and PMF. Methods: The SEER 18 registries were used to identify patients with ICD-O-3 diagnosis codes for PV (9950/3), ET (9962/3), and PMF (9961/3) from 2001-2015. For ET and PMF, histologic diagnosis was required for inclusion. Incidence was age-adjusted to the U.S. 2000 standard population. Causes of death were obtained and MPN-related death was defined as death from any myeloid disorder (ET, PV, PMF, acute myeloid leukemia [AML], acute monocytic leukemia, other myeloid/monocytic leukemia, and aleukemic, subleukemic and NOS). Relative survival (RS) was defined as the ratio of the proportion of observed survivors in a cohort of PV, ET, PMF patients to the proportion of expected survivors in a comparable set of individuals that did not respectively have PV, ET, or PMF, adjusting for the general survival of the US population for race, sex, age, and time when the diagnosis was established. Time to leukemic transformation was calculated using the left-truncated life tables session with a 3-month latency period used to prevent misattribution. Overall survival (OS) was calculated between the date of diagnosis and the date of death, date last known to be alive, or date of the study cut-off (31 December 2018). Variables significant in univariate analysis were included in a multivariate analysis. The Kaplan-Meier method was used to calculate overall survival (OS), and Cox regression model was used to identify predictors of survival. Statistical analyses were performed using JMP version 14.0. Results: 10,988 patients with PV, 9,146 with ET, and 4,022 with PMF were identified in SEER. The median age of diagnosis (interquartile range [IQR]) was 65 years (IQR 54-76), 67 years (IQR 54-77), and 69 years (IQR 60-78) for PV, ET, and PMF respectively. Overall incidence rates (cases/100,000) were 0.86 for PV, 0.72 for ET, and 0.30 for PMF. With a median follow up (in years, 95% confidence interval [CI]) of 7.6 (7.4-7.8), 7.9 (7.8-8.2), and 7.25 (7.0-7.5), the median OS was 11.4 (11.2-11.7), 11.75 (11.3-12.0), and 3.5 (3.3-3.7), for PV, ET, and PMF respectively. RS was better than expected survival for PV and ET, while less than expected survival for PMF (Figure 1). 3853 of PV patients died (35.1%) by the end of the study period, with 4.1% and 34.1% of deaths from PV-related and cardiovascular disease respectively (Table 1). 3142 of ET patients died (34.4%), with 7.2% and 32.2% of deaths from ET-related and cardiovascular disease respectively. 2578 patients with MF died (64.1%), with 13.2%, and 51.9% of deaths from PMF-related and other malignancies respectively. 106 patients (1.0%) with PV, 135 patients (1.5%) with ET, and 127 patients (3.2%) with PMF transformed to AML. Median time to transformation was 4.8, 6.3, and 2.3 years for PV, ET, and PMF respectively. Factors indicating inferior OS on multivariate analysis (Table 2) included age ≥ 65, female sex, and year of diagnosis for PV, age ≥ 65, male sex, and year of diagnosis for ET, and age ≥ 65, and male sex for PMF. Conclusion: Incidence rates for PV, ET, and PMF were similar to previous reports. RS was better than expected survival for PV and ET, while less than expected survival for PMF. The majority of deaths in ET and PV occurred from cardiovascular disease; a finding likely related to these MPNs. Patients with PMF were more likely to die from their disease or a subsequent malignancy. Transformation to AML occurred less frequently than prior large case series, noting a limitation in the current study. Patients with PMF were more likely to transform to AML with a shorter time interval. Older age was associated with worse OS in all patients. Male sex was predictive of worse survival for ET and PMF, while female sex was associated with worse survival in PV. Over the years, survival has improved for PV and remained essentially unchanged for ET and PMF. Figure Disclosures Shah: Dren Bio: Consultancy.

Background: Langerhans cell histiocytosis (LCH) is the most common histiocytic disorder that is now recognized as a neoplasm by the World Health Organization. It is generally classified based on the site and extent of disease involvement (single system or multisystem). Pulmonary LCH (pLCH), an uncommon interstitial lung disease associated with smoking, often presents as isolated pulmonary disease. It is unclear whether patients with clinically isolated pLCH have extra-pulmonary lesions at diagnosis or during the course of their disease. The role of [18F] fluorodeoxyglucose positron emission tomography-computed tomography (FDG-PET-CT) in the staging of pLCH remains unclear. Our study aims to better characterize the utility of radiographic staging studies at time of diagnosis and prevalence of extrapulmonary disease at follow up in pLCH. Methods: We conducted a retrospective study of patients presenting with clinical findings consistent with isolated pLCH seen at the Mayo Clinic from January 2000 to January 2020. All patients had a diagnosis of pLCH determined by chest imaging studies [computed tomography (CT) or high-resolution CT (HRCT)] or by histopathologic findings from surgical or transbronchial lung biopsy. Histopathologic findings for the diagnosis of pLCH required the presence of Langerhans cells (S100+/CD1a+/Langerin+). Patients were excluded if they had clinically apparent extra-pulmonary organ involvement at the time of diagnosis. BRAF V600E mutation was determined by immunohistochemistry (IHC) or cell-free DNA (cfDNA). Staging was defined as FDG-PET-CT or whole body CT imaging obtained within 3 months of diagnosis of pLCH. Extra-pulmonary LCH involvement was determined by imaging characteristics or by histopathologic findings. Descriptive statistics and overall survival (OS) were analyzed with JMP software, version 14 (SAS Institute Inc., Cary, NC). Results: A total of 112 patients with clinically isolated pLCH were identified. The median age at diagnosis was 45 years (range 21-73), and 48 (43%) were male. The majority (n=110, 99%) were former or current smokers with a median pack year of 25 (range 1-57). Three (3%) patients were noted to have occupational industrial exposure. Nine patients had a history of another cancer prior to their diagnosis and staging of pLCH [lung (n=4), breast (n=2), neuroendocrine (n=2), thyroid (n=1)]. Presenting symptoms included dyspnea on exertion 49 (44%), cough 18 (16%), chest pain 14 (13%), and 29 (28%) were incidentally discovered on imaging studies. On HRCT, the following characteristics were observed: 42 (38%) cystic, 32 (29%) cystic and nodular, 37 (33%) nodular, 1 (<1%) ground glass opacities. Seventy (63%) patients had lung biopsy confirmation, of which 11 (16%) patients underwent BRAF V600Emutation testing (7 by IHC, 4 by cfDNA). Six (55%) of these 11 patients were positive for BRAF V600E mutation. 34 (30%) patients underwent radiographic staging studies within 3 months of diagnosis of pLCH (25 FDG-PET-CT and 9 whole-body CT), and none of these imaging studies showed evidence of extra-pulmonary disease. Of the patients who had at least one year of follow-up (n=52), one (2%) developed extra-pulmonary disease. This patient did not undergo initial staging studies, developed headaches and was found to have a large calvarial lytic lesion within 2 months of pLCH diagnosis (BRAF V600E+). Among those who did not undergo staging at diagnosis (n=78), long term (>5 years) follow up data were available for 23 (29%), and none developed extra-pulmonary disease as determined by clinical notes or imaging studies. No patient had evidence of new extra-pulmonary involvement or second malignancy at the time of last known follow-up. After a median follow-up duration of 2.4 years (95% CI: 1.5-3.6, range: 0.1-17) ten (9%) patients died, of which 5 died of pLCH related complications. The median OS for entire cohort was 15 years (95% CI 9.1-not reached, Figure 1). Conclusion: Our study shows that adult patients with clinically isolated pLCH rarely present with extra-pulmonary manifestations at diagnosis or at follow up. These findings suggest a limited role of routine radiographic staging studies in pLCH unless clinically indicated. Studies on longer follow up of this cohort would provide further insights into the natural history of pLCH and are underway. Disclosures Bennani: Purdue Pharma: Other: Advisory Board; Verastem: Other: Advisory Board; Kite/Gilead: Research Funding; Affimed: Research Funding. Shah:Dren Bio: Consultancy.

Background Eculizumab, a monoclonal antibody targeting C5, is an effective treatment for complement-mediated thrombotic microangiopathy (CM-TMA), also known as atypical hemolytic uremic syndrome. Although lifelong therapy has been suggested, the optimal treatment schedule is unknown, while eculizumab discontinuation does not universally lead to relapse. Data evaluating risk factors associated with an increased risk of CM-TMA recurrence following eculizumab withdrawal are scarce. Prior to the eculizumab era, complement genetic studies have been used to assess morbidity and mortality in patients with CM-TMA. Our aim was to assess the impact of complement gene variants on CM-TMA relapse rate (RR) after eculizumab discontinuation. Methods Search protocols were developed for the Ovid and PubMed databases to identify existing reports on CM-TMA and eculizumab withdrawal published before February 1st 2020. Cases were cross-referenced to eliminate duplicates. Inclusion criteria included patients diagnosed with CM-TMA who had undergone eculizumab discontinuation. Reasons for exclusion were patients with no follow-up after eculizumab withdrawal and patients lacking complement gene testing. Patients undergoing eculizumab dose extension, but not discontinuation, were not included. Results Fifteen studies including 557 individuals were retrieved. Of these, 363 (65.2%) were excluded as outlined in Figure 1 and 194 cases were included in the final analysis with a global RR of 28.9% (n=56). Distribution based on gene impacted and variant type are presented in Table 1. RR was highest among patients with CFH variants (52.5% to 60%) -particularly if involving exon 22 or nonsense mutations-, MCP/CD46 variants (38.9% to 45%) -particularly if affecting splice regions-, and cases with multiple concomitant variants (57.1%) -particularly those including CFH or a CFH-CFHR1 Hybrid (Table 2). Patients with relapse were more likely to have the presence of a complement variant (p<0.001), history of previously resolved CM-TMA events (p=0.022), younger age (mean age 22.4 years for patients with relapse vs. 32.33 years for patients without relapse; p=0.002) and, within those with detected variants, multiple vs. single variants (p=0.002) and CFH-inclusive variants (p=0.003). On univariate analysis, complement gene variants (OR 4.217 95%CI 1.97-9.026; p<0.001), age <30 years (OR 2.346 95%CI 1.159-4.749; p=0.018), and presence of multiple variants (OR 2.06 95%CI 1.172-3.621; p=0.012) or CFH-inclusive variants (OR 3.111 95%CI 1.443-6.71; p=0.004) were associated with increased odds of CM-TMA relapse, while no prior history of additional CM-TMA events was the only factor associated with lower RR (OR 0.327 95%CI 0.123-0.87; p=0.025). Presence of complement variants (OR 4.48 95%CI 1.132-17.724; p=0.033) and CFH-inclusive variants (OR 3.045 95%CI 1.136-8.159; p=0.027) were independently associated with increased RR on multivariate analysis (Table 3). Conclusion Relapse after eculizumab discontinuation is rare in cases with no genetic variants identified but can increase to more than 80% in high-risk subgroups. Complement genetic testing is not required for CM-TMA diagnosis or for initiation of complement inhibiting therapy; however, our results demonstrate the value of complement genetic testing when stratifying risk of patients for consideration of eculizumab discontinuation. Disclosures Sridharan: Alexion: Honoraria.

Introduction Immune-mediated hematologic disorders are relatively rare but potentially life-threatening immune-related adverse events (irAE) with immune checkpoint inhibitor (ICI) therapy (Shiuan, Beckermann et al 2017). The management strategy often relies on systemic corticosteroids and other immunosuppressant agents in steroid-refractory cases (Brahmer, Lacchetti et al 2018). We hereby describe our institution's experience in diagnosing and managing immune-related hematologic adverse events (ir-h-AE). Methods We retrospectively searched the electronic health record for all ir-h-AE diagnosed by treating providers and confirmed by study authors between 2015 and 2020. The search included patients on ICI and the following conditions: immune-related neutropenia (IRN), autoimmune hemolytic anemia (AIHA), cold agglutinin disease (CAD), immune thrombocytopenia (ITP), immune-related pancytopenia, aplastic anemia (AA), and pure red cell aplasia (PRCA). For AIHA, PRCA, and CAD, partial response (PR) was defined as hemoglobin greater than 10 g/dL but < 12 g/dL and 2 g/dL above the nadir without blood product transfusion. Complete response (CR) was defined as hemoglobin of ≥ 12 g/dL and 2 g/dL above the nadir without blood product transfusion (Peñalver, Alvarez-Larrán et al. 2010). For ITP, CR was defined as platelet count ≥ 100 × 109/L and absence of bleeding. PR was defined as platelet count ≥ 30 × 109/L and ≥ two-fold increase from the baseline count and absence of bleeding (Gómez-Almaguer, Tarín-Arzaga et al. 2013). For IRN, CR was defined as absolute neutrophil count (ANC) ≥ 1500/ mm3 on 2 consecutive measurements separated by 7 days; PR was defined as ANC ≥ 500/ mm3 sustained over 7 days. JMP® 14.1 was used for data analysis. Results Seventeen patients were identified, 9 (52.9%) of whom were female (table 1). Median age was 68 years (range 26-78). The most common pre-existing malignancies were melanoma (6 patients, 35.3%), non-small cell lung cancer (4 patients, 23.5%), and gastrointestinal cancer (3 patients, 17.6%). The ir-h-AE included 7 patients (41.2%) with warm AIHA, 4 (23.5%) with ITP (1 had immune-related pancytopenia that resolved with ITP persisting), 3 (17.6%) with IRN, 1 with AA, 1 with CAD, and 1 with PRCA and mild ITP. All patients had received an ICI dose within 60 days of diagnosis (range 3-52 days, median 18 days). Only 1 patient had a concomitant chronic autoimmune disorder (antinuclear antibody-positive arthritis). Four patients (23.5%) were receiving chemotherapy. Sixteen patients (94.1%) required treatment and received corticosteroids. Eight out of 15 evaluable patients (53.3%) responded to corticosteroids only. Another 4 responders (26.7%) required additional therapies including intravenous immunoglobulins (IVIG) (4, 23.5%) and/or rituximab (4, 23.5%). Overall response rate was 71.4% for AIHA and 100% for IRN. ITP was likely underrepresented in our cohort, and the response rate of 66.7% is likely lower than the response rate in clinical practice. This could be related to the fact that many mild thrombocytopenia cases are not further evaluated in clinical practice. None of our patients died from the sequelae of an ir-h-AE. Two patients (11.8%) died within 30 days of ir-h-AE diagnosis (disseminated intravascular coagulation likely due to the underlying malignancy and sepsis from bacterial pneumonia). At the time of ir-h-AE diagnosis, the malignancy was showing evidence of response in 9 patients (52.9%), progression in 6 patients (35.3%), and stability in 2 patients (11.8%). ICI therapy was permanently discontinued in 9 patients (52.9%) and temporarily held in 6 patients (35.3%). Three of the 5 patients (60%), who were rechallenged with ICI therapy, had recurrence of the same ir-h-AE (AIHA) with adequate response to therapy. Non-hematologic irAE (7 patients, 41.2%) included 3 patients with hepatitis, 2 with thyroiditis, 2 with pneumonitis, 1 with colitis, and 1 with dermatitis. Conclusion Our clinical experience with ir-h-AE highlights the importance of exercising vigilance in assessing the hematologic parameters of patients receiving ICI therapy. While relatively rare, ir-h-AE may impact the clinical course of patients with cancer and their eligibility for therapies that have the potential of offering durable control of the underlying malignancy. ir-h-AE respond to classical therapies including corticosteroids, IVIG, and rituximab. Disclosures Block: Merck: Research Funding; Bristol-Myers Squibb: Research Funding; Genentech: Research Funding; Pharmacyclics: Research Funding; Marker Therapeutics: Research Funding; Transgene: Research Funding; Immune Design: Research Funding. Kottschade:Bristol-Myers Squibb: Consultancy, Research Funding.