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Background The American Registry for Migraine Research (ARMR) is a multicenter, prospective, longitudinal patient registry, biorepository, and neuroimaging repository that collects clinical data, electronic health record (EHR) data, blood samples, and brain imaging data from individuals with migraine or other headache types. In this manuscript, we outline ARMR research methods and report baseline data describing an initial cohort of ARMR participants. Methods Adults with any International Classification of Headache Disorders (ICHD) diagnosis were prospectively enrolled from one of the 8 participating headache specialty centers. At baseline, ARMR participants complete web‐based questionnaires, clinicians enter the participant’s ICHD diagnoses, an optional blood specimen is collected, and neuroimaging data are uploaded to the ARMR neuroimaging repository. Participants maintain the ARMR daily headache diary longitudinally and follow‐up questionnaires are completed by participants every 3 months. EHR data are integrated into the ARMR database from a subset of ARMR sites. Herein, we describe the ARMR methodology and report the summary data from ARMR participants who had, from February 2016 to May 2019, completed at least 1 baseline questionnaire from which data are reported in this manuscript. Descriptive statistics are used to provide an overview of patient’s sociodemographics, headache diagnoses, headache characteristics, most bothersome symptoms other than headache, headache‐related disability, comorbidities, and treatments. Results Data were available from 996 ARMR participants, enrolled from Mayo Clinic Arizona, Dartmouth‐Hitchcock Medical Center, University of Utah, University of Colorado, Thomas Jefferson University, University of Texas Health Science Center at Houston, Georgetown University Medical Center, and DENT Neurological Institute. Among ARMR participants, 86.7% (n = 864) were female and the mean age at the time of enrollment was 48.6 years (±13.9; range 18‐84). The most common provider‐reported diagnosis was chronic migraine (n = 622), followed by migraine without aura (n = 327), migraine with aura (n = 196), and medication overuse headache (n = 65). Average headache frequency was 19.1 ± 9.2 days per month (n = 751), with 68% reporting at least 15 headache days per month. Sensitivity to light was the most frequent (n = 222) most bothersome symptom overall, other than headache, but when present, cognitive dysfunction was most frequently (n = 157) the most bothersome symptom other than headache. Average migraine disability assessment (MIDAS) score was 52 ± 49 (n = 760), (very severe headache‐related disability); however, 17% of the ARMR population had MIDAS scores suggesting “no” or “mild” disability. The most common non‐headache health issues were allergies (n = 364), back pain (n = 296), neck pain (n = 296), depression (n = 292), and anxiety (n = 278). Nearly 85% (n = 695) of patients were using preventive medications and 24.7% were using non‐medication preventive therapy (eg, vitamins and neuromodulation). The most common preventive medication classes were neurotoxins, anticonvulsants, antidepressants, vitamins/supplements, and anticalcitonin gene‐related peptide ligand or receptor‐targeted monoclonal antibodies. Nearly 90% (n = 734) of ARMR participants was taking medications to treat migraine attacks, with the most common classes being triptans, non‐steroidal anti‐inflammatory drugs, antiemetics, acetaminophen, and combination analgesics. Conclusions ARMR is a source of real‐world patient data, biospecimens, and brain neuroimaging data that provides comprehensive insight into patients with migraine and other headache types being seen in headache specialty clinics in the United States. ARMR data will allow for longitudinal and advanced analytics that are expected to lead to a better characterization of patient heterogeneity, healthcare resource utilization, identification of endophenotypes, factors that predict treatment outcomes and clinical course, and ultimately advance the field toward precision headache medicine.

Abstract BACKGROUND: Burkitt Lymphoma (BL) represents approximately 40% of all childhood and adolescent non-Hodgkin lymphoma (Miles/Cairo, BJH 2012). Children with relapsed or progressive BL develop chemoimmunotherapy-resistant disease and can rarely be cured with salvage therapy (Cairo et al, JCO 2012). Bruton's tyrosine kinase (BTK) is a regulator of normal B-cell development and is activated upon B-cell receptor (BCR) stimulation. Chronic active BCR signaling through BTK activation can be inhibited by the selective and covalent BTK inhibitor, ibrutinib (Young/Staudt et al, Nat Rev Drug Dicov 2013). Preclinical studies of ibrutinib in chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL) suggest that its inhibitory effect on cell proliferation is in the range of 1.0uM to 25.0uM (Herman et al, Blood 2011; Cinar et al, Leuk Res 2013), which is higher than the typical plasma concentration range in patients at the recommended dose of 560mg (<0.6uM) (Advani et al, JCO 2013). Despite these relatively high IC50 values in vitro, ibrutinib has been highly effective in the treatment of patients with refractory CLL and MCL (Byrd et al, NEJM 2013 and Wang et al, NEJM 2013). Ibrutinib was initially approved by the FDA (IMBRUVICA, USPI) for patients with MCL in November 2013 and CLL in February 2014, who have received at least one prior therapy. BL, however, is associated with tonic vs chronic active BCR signaling; while, both CLL and MCL have chronic active BCR signaling. These findings suggest that the antitumor activity of ibrutinib in BL, which is associated with tonic BCR signaling, may be less pronounced than in Activated B cell-like diffuse large B-cell lymphoma (ABC-DLBCL), CLL or MCL. OBJECTIVES: We hypothesize that ibrutinib may be a potential adjuvant agent in the treatment of BL. Therefore, we investigated the in vivo anti-tumor activity of ibrutinib in BL xenografted NSG mice. METHODS: Raji Burkitt lymphoma (BL) cells (ATCC) were exposed to ibrutinib (0-10uM, generously provided by Janssen R&D LLC) alone and in combination with dexamethasone (1uM) for 5 days and then MTS cell proliferation assay (Promega) was performed. The IC50 values were determined with CompuSynTM software (Chou and Martin, ComboSyn, 2005) based on data derived from MTS assay. Raji BL cells were stably transfected with a firefly luciferase expression plasmid (ffluc-zeo), kindly provided by Laurence Cooper MD, PhD. NSG mice (NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ, 6-8 weeks old) from Jackson laboratory were irradiated (2.5 Gy) and then mice were subcutaneously injected with one million ffluc-zeo tumor cells. Tumor progression and tumor burden were monitored by Bioluminescent Imaging system using the Xenogen IVIS-200 (Caliper Life Sciences). Mice were orally gavaged with either vehicle or ibrutinib (12.5mg/kg) for 10 days (once a day) at post-tumor cells injection. Analysis of survival rates were determined by the Kaplan-Meier method and differences evaluated by log-rank test using the Prism Version 6.0 software. RESULTS: Ibrutinib compared to control induced a significant dose-dependent decrease in cell proliferation in Raji BL cells (5uM, 0.561 ± 0.170, p<0.03, IC50=5.20uM) following 120 hours (5 days) of ibrutinib treatment. Interestingly, we observed a significant decrease in cell proliferation in Raji BL cells (5uM, 0.213 ± 0.078, p<0.002, IC=0.50 ± 0.374uM) following ibrutinib and 1uM dexamethasone combination treatment following 120 hours (5 days) of treatment. We observed a significant decrease of tumor progression by tumor luminescence signal intensity following ibrutinib treated Raji BL xenografted NSG mice at day 20 (12.5mg/kg, p<0.001 and 25mg/kg, p<0.05) and day 25 (12.5mg/kg, p<0.05 and 25mg/kg, p<0.05) compared to control (Figure 1A).Ibrutinib (12.5 mg/kg) treated mice (n=39) significantly prolonged survival compared to vehicle controls (n=28) (p<0.0001) (Figure 1B). CONCLUSIONS: Ibrutinib (12.5mg/kg) significantly decreased tumor progression and significantly increased survival in Raji BL xenografted NSG mice, suggesting that ibrutinib may be a potential adjuvant agent for therapy in the treatment of BL. Future studies will investigate the efficacy of combination therapy with ibrutinib on survival in BL xenografted NOD/SCID mice. Disclosures Galardy: Mission Therapeutics: Research Funding.

Introduction Selective reporting bias, inconsistency in the chosen outcomes between trials and irrelevance of the chosen outcomes for women, limit the efficiency and value of research for prevention and treatment of gestational diabetes mellitus (GDM). One way to address these challenges is to develop core outcome sets (COSs). Methods and analysis The aim of this manuscript is to present a protocol for a study to develop COSs for GDM prevention and treatment. This is a three-phase project consisting of (1) a systematic review of the literature to create two lists of outcomes that have been reported in trials and systematic reviews of trials of interventions for the prevention and treatment of GDM, (2) a three-round, web-based e-Delphi survey with key stakeholders to prioritise these outcomes and (3) a consensus meeting to resolve any remaining disagreements and to agree on two COSs. Ethics and dissemination Ethical approval to conduct this study was obtained from the ethics committee at Galway University Hospitals on 13 December 2018 (Reference: C.A.2078). We will disseminate our research findings through peer-reviewed, open access publications and present at international conferences to reach a wide range of knowledge users.

Introduction: Abnormal metaphase cytogenetics are associated with inferior survival in newly diagnosed multiple myeloma (MM). These abnormalities are only detected in one third of cases due to the low proliferative rate of plasma cells. It is unknown if metaphase cytogenetics improve risk stratification when using contemporary prognostic models such as the revised international staging system (R-ISS), which incorporates interphase fluorescence in situ hybridization (FISH). Aims: The aims of this study were to 1) characterize the association between abnormalities on metaphase cytogenetics and overall survival (OS) in newly diagnosed MM treated with novel agents and 2) evaluate whether the addition of metaphase cytogenetics to R-ISS, age, and plasma cell labeling index (PCLI) improves model discrimination with respect to OS. Methods: We analyzed a retrospective cohort of 483 newly diagnosed MM patients treated with proteasome inhibitors (PI) and/or immunomodulators (IMID) who had metaphase cytogenetics performed prior to initiation of therapy. Abnormal metaphase cytogenetics were defined as MM specific abnormalities, while normal metaphase cytogenetics included constitutional cytogenetic variants, age-related Y chromosome loss, and normal metaphase karyotypes. Multivariable adjusted proportional hazards regression models were fit for the association between known prognostic factors and OS. Covariates associated with inferior OS on multivariable analysis included R-ISS stage, age ≥ 70, PCLI ≥ 2, and abnormal metaphase cytogenetics. We devised a risk scoring system weighted by their respective hazard ratios (R-ISS II +1, R-ISS III + 2, age ≥ 70 +2, PCLI ≥ 2 +1, metaphase cytogenetic abnormalities + 1). Low (LR), intermediate (IR), and high risk (HR) groups were established based on risk scores of 0-1, 2-3, and 4-5 in modeling without metaphase cytogenetics, and scores of 0-1, 2-3, and 4-6 in modeling incorporating metaphase cytogenetics, respectively. Survival estimates were calculated using the Kaplan-Meier method. Survival analysis was stratified by LR, IR, and HR groups in models 1) excluding metaphase cytogenetics 2) including metaphase cytogenetics and 3) including metaphase cytogenetics, with IR stratified by presence and absence of metaphase cytogenetic abnormalities. Survival estimates were compared between groups using the log-rank test. Harrell's C was used to compare the predictive power of risk modeling with and without metaphase cytogenetics. Results: Median age at diagnosis was 66 (31-95), 281 patients (58%) were men, median follow up was 5.5 years (0.04-14.4), and median OS was 6.4 years (95% CI 5.7-6.8). Ninety-seven patients (20%) were R-ISS stage I, 318 (66%) stage II, and 68 (14%) stage III. One-hundred and fourteen patients (24%) had high-risk abnormalities by FISH, and 115 (24%) had abnormal metaphase cytogenetics. Three-hundred and thirteen patients (65%) received an IMID, 119 (25%) a PI, 51 (10%) received IMID and PI, and 137 (28%) underwent upfront autologous hematopoietic stem cell transplantation (ASCT). On multivariable analysis, R-ISS (HR 1.59, 95% CI 1.29-1.97, p < 0.001), age ≥ 70 (HR 2.32, 95% CI 1.83-2.93, p < 0.001), PCLI ≥ 2, (HR 1.52, 95% CI 1.16-2.00, p=0.002) and abnormalities on metaphase cytogenetics (HR 1.35, 95% CI 1.05-1.75, p=0.019) were associated with inferior OS. IR and HR groups experienced significantly worse survival compared to LR groups in models excluding (Figure 1A) and including (Figure 1B) the effect of metaphase cytogenetics (p < 0.001 for all comparisons). However, the inclusion of metaphase cytogenetics did not improve discrimination. Likewise, subgroup analysis of IR patients by the presence or absence of metaphase cytogenetic abnormalities did not improve risk stratification (Figure 1C) (p < 0.001). The addition of metaphase cytogenetics to risk modeling with R-ISS stage, age ≥ 70, and PCLI ≥ 2 did not improve prognostic performance when evaluated by Harrell's C (c=0.636 without cytogenetics, c=0.642 with cytogenetics, absolute difference 0.005, 95% CI 0.002-0.012, p=0.142). Conclusions: Abnormalities on metaphase cytogenetics at diagnosis are associated with inferior OS in MM when accounting for the effects of R-ISS, age, and PCLI. However, the addition of metaphase cytogenetics to prognostic modeling incorporating these covariates did not significantly improve risk stratification. Disclosures Lacy: Celgene: Research Funding. Dispenzieri:Akcea: Consultancy; Intellia: Consultancy; Alnylam: Research Funding; Celgene: Research Funding; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding. Kapoor:Celgene: Honoraria; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Cellectar: Consultancy; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Glaxo Smith Kline: Research Funding. Leung:Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

Multiple myeloma (MM) is a neoplasm thought to arise from a damaged germinal center B-cell that progresses to a plasma cell clone arising in bone marrow. MM comprises 20% of all hematologic cancer deaths. Persons of African ancestry (AA) have a 1.5 to 2-fold higher risk compared to individuals of European ancestry (EA). Genetically driven differences in hematopoiesis may lead to variation in the levels white blood cell (WBC) subsets which could, in turn, be associated with MM etiology. There are differences in genetic determinants of WBC traits between EA and AA populations, with possible implications for the racial disparity in risk. We tested the above hypothesis using Mendelian randomization (MR), an approach that leverages genetic determinants of specific traits (i.e. WBC counts) to estimate their effects on the risk of an outcome; and a transcriptome-wide association study (TWAS), which utilizes genetic predictors of gene expression to identify susceptibility genes. These analytic approaches were applied to data from the African American Multiple Myeloma Study (AAMMS) consisting of 1813 cases and 8871 AA cancer-free controls to examine how differences in heritable WBC gene expression profiles influence MM risk. Genetic determinants of variation in WBC subsets in AA were obtained from the literature and supplemented with new genome-wide association findings in AA subjects from the UK Biobank cohort (n=6108). Odds ratios (OR) for MM per 1 standard deviation (SD) increase in each WBC phenotype were estimated using independent (linkage disequilibrium (LD) r2<0.10) variants with P<10-6 as genetic instruments. Analyses based on variants associated with WBC traits in AA populations did not identify any statistically-significant associations between MM risk and WBC overall (p=0.81, using 15 SNPs) or subsets (lymphocytes, monocytes, eosinophils, neutrophils and basophils, p>0.05 for each). However, when we applied genetic determinants of WBC identified in 330,000 cancer-free EA UK Biobank participants (P<10-8, replication P<0.05, LD r2<0.05), a statistically significant inverse relationship emerged between increasing lymphocyte counts and MM risk (OR=0.80, 95% CI: 0.66-0.97, p=0.02, using 385 SNPs), as well as increasing basophil counts (OR=0.63, 95% CI: 0.41-0.96, p=0.03, using 140 SNPs). Next, we examined the association between WBC gene expression profiles and MM risk in AAMMS data. We applied published and validated ancestry-specific models developed using the PrediXcan approach, which leverage germline genetic and transcriptomic data from the Multi-Ethnic Study of Atherosclerosis (MESA) (Mogil et al. PMID: 30096133). The primary TWAS used gene expression models trained in AA subjects (n=233), with sensitivity analyses using models developed in AA and Hispanic subjects (n=585). The TWAS significance threshold was based on the number of genes with significant germline prediction models (p<0.05 and R2 ≥0.05) in AA, corresponding to P < 0.05/2700 = 1.85×10-5. The expression of two genes was significantly associated with MM risk: KANK1at 9p24.3 (P = 1.01×10-5) and DNAJC27at 2p23.3 (P = 1.56×10-5). KANK1is a candidate tumor suppressor gene for renal cell carcinoma and has recently been associated with MM risk in AA [Du, Blood 2017 130:3058]. Here we provide additional evidence for its role in MM etiology via gene expression-mediated mechanisms. DNAJC27 (previously known as RBJ) is a novel MM risk gene linked to constitutive activation of ERK in solid tumors. We also identified two suggestively associated genes: PRR14 (P = 1.34×10-4; combined AA-Hispanic sample: P = 1.56×10-6), which has been linked to MM risk in EA populations, and PARP16 (P = 9.46×10-5). To our knowledge this is the first study to comprehensively examine variation in WBC traits and gene expression profiles with respect to MM risk in AA. Our TWAS analysis leveraged data from the largest collection of genetic and gene expression data in AA, enabling ancestry-matched inference and identification of two novel risk genes. Although the limited availability of genetic instruments for WBC limited the power of MR analysis, findings using variants identified in European populations may offer some insight into trans-ethnic etiologic pathways and contribute to risk stratification strategies using genetic and blood cell count biomarkers. Future studies, particularly with MGUS-free controls, are needed to validate these results. Disclosures Song: Millennium Pharmaceuticals Inc: Employment. Rand:Ancestry.com: Employment. Ailawadhi:Cellectar: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy. Nooka:Takeda: Honoraria, Other: advisory board participation; Janssen: Honoraria, Other: advisory board participation; GSK: Honoraria, Other: advisory board participation; Spectrum pharmaceuticals: Honoraria, Other: advisory board participation; Adaptive technologies: Honoraria, Other: advisory board participation; Amgen: Honoraria, Other: advisory board participation; Celgene: Honoraria, Other: advisory board participation; BMS: Honoraria, Other: advisory board participation. Singhal:Bureau of Millennium/Takeda, Celgene, Janssen, Celgene, Bristol-Myers Squibb and Bluebird: Speakers Bureau. van Rhee:Takeda: Consultancy; Sanofi Genzyme: Consultancy; Castleman Disease Collaborative Network: Consultancy; EUSA: Consultancy; Adicet Bio: Consultancy; Kite Pharma: Consultancy; Karyopharm Therapeutics: Consultancy. Mehta:Millennium/Takeda, Celgene; stock in Celgene, Bristol-Myers Squibb and Bluebird: Speakers Bureau. Wolf:Takeda: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Amgen: Consultancy. Martin:Roche and Juno: Consultancy; Amgen, Sanofi, Seattle Genetics: Research Funding. Fiala:Incyte: Research Funding. Terebelo:Jannsen: Speakers Bureau; Celgene: Honoraria; Newland Medical Asociates: Employment. Anderson:Bristol-Myers Squibb: Other: Scientific Founder; Oncopep: Other: Scientific Founder; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Sanofi-Aventis: Other: Advisory Board. Vij:Bristol-Myers Squibb: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Genentech: Honoraria; Janssen: Honoraria; Karyopharm: Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Research Funding. Bernal-Mizrachi:TAKEDA: Research Funding; Kodikas Therapeutic Solutions, Inc: Equity Ownership; Winship Cancer Institute: Employment, Patents & Royalties. Morgan:Amgen, Roche, Abbvie, Takeda, Celgene, Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Other: research grant, Research Funding. Zonder:Celgene Corporation: Consultancy, Honoraria, 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; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Intellia: Consultancy, Membership on an entity's Board of Directors or advisory committees; Caelum: Consultancy, Membership on an entity's Board of Directors or advisory committees; Alnylam: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees. Huff:Member of Safety Monitoring Board for Johnson and Johnson: Membership on an entity's Board of Directors or advisory committees; Karyopharm, Sanofi, MiDiagnostics: Consultancy. Lonial:Karyopharm: Consultancy; Takeda: Consultancy, Research Funding; Amgen: Consultancy; BMS: Consultancy; Janssen: Consultancy, Research Funding; GSK: Consultancy; Celgene Corporation: Consultancy, Research Funding; Genentech: Consultancy. Orlowski:Poseida Therapeutics, Inc.: Research Funding.

Background: A variety of risk factors have been described in multiple myeloma and current risk assessment incorporates ISS stage with specific FISH results and serum LDH (R-ISS). However, this model does not include all the current abnormalities described as prognostic for survival in multiple myeloma. Importantly, the impact of many of these high-risk abnormalities are not uniform. We examined if we can better integrate FISH results into a risk assessment tool to better predict the outcomes of newly diagnosed MM. Patients and methods: We studied a cohort of 1316 patients with FISH done within 6 months of diagnosis of MM, in whom results for commonly observed abnormalities were available. We specifically examined the individual impact of common translocations involving chromosome 14, MYC rearrangements, chromosome 1q gain (single or multiple duplication) and del13q/monosomy 13. A risk assessment system was developed, weighting each abnormality according to their Risk Ratio and integrating ISS stage and serum LDH into the final model construction. Overall survival was calculated from diagnosis, with those alive at last follow up being censored. Results: We first examined the impact of each of the above FISH abnormalities: 1) high risk translocations [t(4;14), t(14;16), or t(14,20)], 2) trisomies, 3) t(11;14), 4) MYCrearrangements, 5) del13q/monosomy 13, and 6) 1q gain . Each of the abnormalities, except for t(11;14), was prognostic for survival (Table 1 with the risk ratios). For 1q gain, the median OS was NR, 105 mos and 79 mos respectively for no abnormality, duplication of 1 copy and duplication of multiple copies, (p<0.001). On multivariate analysis, t(11;14) and trisomies were no longer prognostic for overall survival (Table 1). The cumulative impact of abnormalities demonstrated worsening survival in the presence of increasing numbers of abnormalities (Figure 1). Including ISS stage 3 and LDH > ULN as additional variables for prognostication indicated both were individually prognostic for OS. In a multivariate analysis, including these two and FISH abnormalities, 1q gain and LDH were not independently prognostic. The final model consisted of HR translocations, MYCrearrangements, del17p/monosomy 17, del13q/monosomy 13, and ISS stage 3. Each of these variables was weighted using their risk ratio and a composite score was developed using 998 patients for whom all variables were available (range: 0-7.9; median 1.8). Three patient groups were characterized: group 1 (0; 32%), group 2 (1-4; 58%) and group 3 (>4; 10%) with a median OS of 53 mos, 106 mos, and NR, respectively, p <0.001 (Figure 2). Conclusion: Using the most relevant FISH and laboratory factors, in a large cohort of patients, we refined the current system to develop a risk stratification system that predicts survival in patients with newly diagnosed MM treated with contemporary treatment regimens. This needs validation in future studies. Disclosures Kumar: Janssen: Consultancy, Research Funding; Takeda: Research Funding; Celgene: Consultancy, Research Funding. Gertz:International Waldenstrom Foundation: Research Funding; Annexon: Consultancy; Medscape: Consultancy, Speakers Bureau; Amyloidosis Foundation: Research Funding; Abbvie: Other: personal fees for Data Safety Monitoring board; i3Health: Other: Development of educational programs and materials; Springer Publishing: Patents & Royalties; Physicians Education Resource: Consultancy; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Proclara: Membership on an entity's Board of Directors or advisory committees; Ionis/Akcea: Consultancy; Alnylam: Consultancy; Prothena Biosciences Inc: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Appellis: Consultancy; Research to Practice: Consultancy; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Amgen: Consultancy. Dispenzieri:Akcea: Consultancy; Janssen: Consultancy; Intellia: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding. Lacy:Celgene: Research Funding. Dingli:alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Rigel: Consultancy; Karyopharm: Research Funding. Kapoor:Celgene: Honoraria; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Glaxo Smith Kline: Research Funding; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Cellectar: Consultancy. Leung:Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees. Bergsagel:Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; Janssen Pharmaceuticals: Consultancy.

Background: Lymphoma patients exposed to chest RT during adolescence/young adulthood are at increased risk for BC; the cumulative incidence exceeds 20% by age 45 and the BC risk is comparable to that in women with BRCA1 mutations. These findings present an urgent yet unmet need to reduce the risk of BC in RT-exposed lymphoma survivors. The risk of BC is 50% lower in chest RT-exposed survivors who also receive ovarian radiation, suggesting a critical role of endogenous estrogens in RT-related breast carcinogenesis, making tamoxifen (a selective estrogen receptor modulator) an attractive risk-reducing option. Tamoxifen administered at 20 mg/d is effective in BC prevention in other high risk populations, but severe adverse events (SAE: venous thromboembolism, endometrial cancer) have limited its broad use. Previous biomarker trials in the general population have shown that LDTam (5mg/d) is not inferior to tamoxifen at 20 mg/d in reducing BC risk, and is associated with a safer AE profile. Mammographic breast density (MBD) is an established biomarker of BC risk; high MBD is associated with a 4-fold higher risk of BC. We hypothesized that LDTam would be effective in reducing BC risk (using MBD as a primary endpoint) in chest RT-exposed lymphoma survivors. We used an investigator-initiated, multi-institutional, randomized phase IIb, double blind, placebo controlled trial (FDA IND 107367) to test this hypothesis. Methods: Female patients from 13 sites were ≥25y at enrollment, with a history of exposure to chest RT at ≥12 Gy by age 40 for their primary cancer, and were off therapy for ≥6 mo. Subjects with a prior history of BC/DCIS, B/L mastectomy, or baseline MBD <25% in both breasts were excluded. Tamoxifen 5mg or identical placebo tablets were provided by Sharp Clinical Services (Allentown, PA) under good manufacturing practice. Subjects were randomized 1:1 in a double-blinded fashion by a Web-based system to receive LDTam or placebo daily for 2y. MBD (in both breasts) was measured centrally on digital scans independently by 3 radiologists at baseline, 1y and 2y. Using an intention-to-treat analysis, the efficacy of LDTam in reducing MBD was compared between the LDTam and placebo arms by applying a linear mixed effects model for bivariate normally distributed data with random intercept and time*treatment arm effects. Correlations between the left and right breasts and within radiologists were accounted for in the model. Treating clinicians and all research staff were blinded to the treatment arm. Results: A total of 72 patients (LDTam: n=34; placebo: n=38) participated in the trial; primary diagnosis: Hodgkin lymphoma (86%); non-Hodgkin lymphoma (10%); other (3%); median age at diagnosis of primary cancer: 21.5y (IQR, 16-28), and at trial enrollment: 43.8y (35-49); median time from diagnosis of primary cancer to study: 17.0y (12-26). Median chest RT dose: 30.3 Gy (21-37.3); 11% had received pelvic radiation; 39% were post-menopausal at study. Participant characteristics were comparable between the two treatment arms, as was the mean baseline MBD (LDTam: 52.6% vs. placebo: 50.4%, p=0.6). The time*treatment arm effect was statistically significant (LDTam vs. placebo: estimate = -1.7, SE = 0.5, p = 0.001), indicating a significantly lower mean fitted MBD for LDTam (43.9%) vs. placebo (47.3%) at 2y (Figure). This represented a 16.5% relative reduction in MBD on the LDTam arm, corresponding to an estimated 33% lower risk of BC (assuming that reductions in MBD have the same benefit in lymphoma survivors as they do in the general population). There were no grade 3 or 4 AEs related to LDTam. Grade 2 AEs did not differ between treatment arms (LDTam: 44.1% vs. placebo: 36.8%, p=0.6). There was no difference in the prevalence of moderate-to-severe patient-reported outcomes between the treatment arms (Table). Conclusion: Low-dose tamoxifen was associated with a significantly steeper decline in MBD in chest RT-exposed lymphoma survivors, when compared with placebo, and was safe and well-tolerated. This is the first trial demonstrating efficacy of a pharmacologic intervention in reducing a biomarker strongly associated with breast cancer risk in lymphoma survivors with a past history of chest radiation. Disclosures Palomares: Covance: Other: Medical monitoring. Henderson:Seattle Genetics: Research Funding. OffLabel Disclosure: The drug is a low-dose tamoxifen, a selective estrogen receptor modulator. Tamoxifen in standard doses is used to reduce the risk of breast cancer in high risk populations. Tamoxifen in standard or low doses have not been tested before for chest-irradiated cancer survivors to reduce the risk of radiation-related breast cancer.

Purpose: Multiple myeloma (MM) is a plasma cell (PC) malignancy with an increasing incidence in the US. Epidemiological studies demonstrate a 2-3 fold higher incidence of the pre-malignant monoclonal gammopathy of undetermined significance (MGUS) and MM with a ~4-year younger age of onset among African Americans (AA) compared to European Americans (EAs) (Fonseca, Leukemia, 2017). With equal access to care, AAs have better overall survival compared to EAs (Waxman, Blood, 2010). This disparity may be explained by ancestral-associated genetic predisposition of AAs to development of monoclonal gammopathies and to specific acquired, cytogenetically-defined subtypes. Using calculated genetic ancestry data, we have previously identified a higher prevalence of IgH translocations t(11;14), t(14;16) and t(14;20) in individuals with >80% African ancestry (Baughn, BCJ, 2018). Since SNP rs9344 encoding the CCND1 870G>A polymorphism has been reported in association with increased risk of t(11;14) (Weinhold, Nature Genetics, 2013), we investigated whether rs9344 correlates with African ancestry and with t(11;14) in our cohort of patients with plasma cell dyscrasias. Methods: We studied 898 patients with monoclonal gammopathies who had undergone uniform testing to identify MM-specific cytogenetic abnormalities. DNA from bone marrow samples was genotyped on the Precision Medicine Research Array and biogeographical ancestry was assessed using the Geographic Population Structure Origins tool (Elhaik, Nat Commun, 2014). Plasma cell proliferative disorder FISH of immunoglobulin (cIg)-stained positive plasma cells was performed as described (Baughn, BCJ, 2018). Individuals were divided into three ancestral groups: 1. EAs (<0.1% African ancestry and <30% Asian ancestry); 2. AAs (> 80% African ancestry); and 3. Other. Chi-squared test was used to determine the overall comparison between the 3 ancestral groups and also between ancestral groups 1 vs 2, and 2 vs 3 using pairwise comparison. All tests were two-sided with alpha level set at 0.05 for overall statistical significance. Pairwise comparison was considered statistically significant when p<0.025 based on Bonferroni method for multiple comparisons. Results: We identify increased risk of development of either a t(11;14), t(14;16) or t(14;20) in AAs (48.8%) compared to EAs (33.6%) (p-value=0.0051). To explore the genetic basis of increased t(11;14) specifically (37.4% AAs vs. 27.3% p-value=0.049), we evaluated the frequency of the G risk allele of rs9344 in relation to African ancestry. The frequency of the G risk allele was higher in AAs (0.81) compared to EAs (0.59) (p-value <0.0001) and also higher in t(11;14) cases (0.73) compared to non-t(11;14) controls (0.58) (p-value <0.0001). A multivariate model identified only rs9344 as significantly associated with t(11;14) after adjusting for age, gender and race group suggesting that it plays a role in the development of t(11;14) (p-value <0.001 for GG, p-value=0.005 for AG). To test if these results are replicable, we studied the MMRF CoMMpass cohort. This cohort includes individuals with newly diagnosed MM along with self-report race information and translocation data from long insert whole genome sequencing. Although t(11;14) was not enriched in self-reported Black individuals from this cohort (17.5% Black vs. 20.4% White, p-value=0.47), there was association between the rs9344 and self-reported Black race (p-value <0.0001) and with the presence of t(11;14) when the t(11;14) was analyzed by long insert whole genome sequencing (p-value=0.0001). Conclusions: To our knowledge, this study includes the largest group of African individuals with an abnormal plasma cell clone along with uniformly collected FISH, genotyping and ancestry data. We have identified in this diverse population the association of the CCND1 870G>A polymorphism (rs9344) with African ancestry and with t(11;14) suggesting that it plays a role in the development of t(11;14) plasma cell dyscrasias. Disclosures Elhaik: DNA Diagnostics Center: Consultancy. Baird:DNA Diagnostics Center: Employment. Cerhan:Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; NanoString: Research Funding. Bergsagel:Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; Janssen Pharmaceuticals: Consultancy. Dispenzieri:Alnylam: Research Funding; Akcea: Consultancy; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Kumar:Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Research Funding.

Purpose: B-cell acute lymphoblastic leukemia/lymphoma (B-ALL/LBL) represents the most common childhood malignancy. Classification of recurrent genetic abnormalities in B-ALL/LBL is essential for risk stratification and patient management. Observed in approximately 5% of B-ALL/LBL cases, hypodiploidy is considered a poor prognostic finding and can be further characterized as near-haploidy (24-31 chromosomes), low hypodiploidy (32-39 chromosomes) and high hypodiploidy (40-43 chromosomes). Importantly, masked hypodiploid clones that have undergone endoreduplication can be mischaracterized as hyperdiploidy, a favorable prognostic finding in B-ALL/LBL. These "doubled" hypodiploid clones are termed pseudo-hyperdiploid and their accurate detection is critical. Mate-pair sequencing (MPseq) is a next-generation sequencing (NGS) technology designed to sequence larger DNA fragments (2000-5000bp) than paired-end sequencing. This allows for the detection of large genetic rearrangements (e.g. translocations, inversions, etc.) and copy number variants (CNVs) at a high resolution with low base coverage. It has demonstrated particular clinical utility for genetic characterization of hematologic malignancies. To expand the role of MPseq in the evaluation of hematologic neoplasms, we aimed to improve the analysis of MPseq results to allow for the detection of copy-neutral loss of heterozygosity (cnLOH) that would enable the differentiation between hyperdiploid and pseudo-hyperdiploid clones. Methods: A new algorithm was applied that statistically analyzes common SNP locations in MPseq data in order to detect both cnLOH regions, and provides global heterozygosity levels at a resolution that allows for the detection of hypodiploidy. This method accounts for the low base-coverage of MPseq data (<10x) in order to provide the highest possible accuracy and precision without increasing cost by requiring changes to the input or sequencing requirements. The algorithm was applied to 17 B-ALL samples classified by conventional chromosome analysis, FISH, and/or chromosomal microarray as either pseudo-hyperdiploidy (n=8) or hyperdiploidy (n=9). The cases were sequenced using MPseq with 101bp read lengths across a range of base coverages (1-10x; 30-135 million fragments) and tumor percentages (50-100%). Results: We demonstrate the method's ability to differentiate between hyperdiploidy and pseudo-hyperdiploidy in all cases without any changes to the MPseq input or sequencing requirements. We detected an average of 11.5 whole-chromosome cnLOH (range 8-20) in the pseudo-hyperdiploidy cases, compared to an average of 0.67 whole-chromosome cnLOH (range 0-2) in the hyperdiploidy cases. Additionally, the method allows for the detection of cnLOH regions across the genome. For example, we observed a recurrent cnLOH of chromosome 9 in the hyperdiploid subtype (3/9 hyperdiploid cases), which is a recurrent abnormality in the disease. The method provides an easy to read visual output that compares favorably to the output of chromosomal microarray, increasing its utility for clinical application. Conclusions: This advancement in the analysis of low-coverage sequencing data makes MPseq available for the genetic characterization of B-ALL/LBL, where hypodiploidy is a primary cytogenetic abnormality and is sometimes missed by conventional cytogenetic techniques. Additionally, the algorithm allows for the detection of cnLOH regions across the genome, which is important across many disease types for diagnosis, prognosis, and the detection of potential therapeutic targets. The addition of the algorithm to the MPseq analysis pipeline makes it a more complete genetic characterization tool and brings it closer to its promise as a potential single assay replacement for conventional cytogenetic techniques. Disclosures No relevant conflicts of interest to declare.

Abstract Pathogenic sequence variants (PSV) in BRCA1 or BRCA2 (BRCA1/2) are associated with increased risk and severity of prostate cancer. We evaluated whether PSVs in BRCA1/2 were associated with risk of overall prostate cancer or high grade (Gleason 8+) prostate cancer using an international sample of 65 BRCA1 and 171 BRCA2 male PSV carriers with prostate cancer, and 3,388 BRCA1 and 2,880 BRCA2 male PSV carriers without prostate cancer. PSVs in the 3′ region of BRCA2 (c.7914+) were significantly associated with elevated risk of prostate cancer compared with reference bin c.1001-c.7913 [HR = 1.78; 95% confidence interval (CI), 1.25–2.52; P = 0.001], as well as elevated risk of Gleason 8+ prostate cancer (HR = 3.11; 95% CI, 1.63–5.95; P = 0.001). c.756-c.1000 was also associated with elevated prostate cancer risk (HR = 2.83; 95% CI, 1.71–4.68; P = 0.00004) and elevated risk of Gleason 8+ prostate cancer (HR = 4.95; 95% CI, 2.12–11.54; P = 0.0002). No genotype–phenotype associations were detected for PSVs in BRCA1. These results demonstrate that specific BRCA2 PSVs may be associated with elevated risk of developing aggressive prostate cancer. Significance: Aggressive prostate cancer risk in BRCA2 mutation carriers may vary according to the specific BRCA2 mutation inherited by the at-risk individual.