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The Center for Disease Control and Prevention ranks diabetes mellitus (DM) as the seventh leading cause of death in the USA. The most prevalent forms of DM include Type 2 DM, Type 1 DM, and gestational diabetes mellitus (GDM). While the acute problem of diabetic hyperglycemia can be clinically managed through dietary control and lifestyle changes or pharmacological intervention with oral medications or insulin, long-term complications of the disease are associated with significant morbidity and mortality. These long-term complications involve nearly all organ systems of the body and share common pathologies associated with endothelial cell abnormalities. To better understand the molecular mechanisms underlying DM as related to future long-term complications following hyperglycemia, we have undertaken a study to determine the frequency that GDM did or did not occur in the second pregnancy of women who experienced GDM in their first pregnancy between 2013 and 2018 at Mayo Clinic, Rochester, MN. Within the five-year period of the study, the results indicate that 7,330 women received obstetrical care for pregnancy during the study period. Of these, 150 developed GDM in their first pregnancy and of these, 42 (28%) had a second pregnancy. Of these 42 women, 20 again developed GDM and 22 did not develop GDM in their second pregnancy within the study period. Following the occurrence of GDM in the first pregnancy, the study (1) established the number of women with and without GDM in the second pregnancy and (2) confirmed the feasibility to study diabetic metabolic memory using maternal placental tissue from GDM women. These studies represent Phase I of a larger research project whose goal is to analyze epigenetic mechanisms underlying true diabetic metabolic memory using endothelial cells isolated from the maternal placenta of women with and without GDM as described in this article.

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.

Abstract Motivation Functions of cancer driver genes vary substantially across tissues and organs. Distinguishing passenger genes, oncogenes (OGs) and tumor-suppressor genes (TSGs) for each cancer type is critical for understanding tumor biology and identifying clinically actionable targets. Although many computational tools are available to predict putative cancer driver genes, resources for context-aware classifications of OGs and TSGs are limited. Results We show that the direction and magnitude of somatic selection of protein-coding mutations are significantly different for passenger genes, OGs and TSGs. Based on these patterns, we develop a new method (genes under selection in tumors) to discover OGs and TSGs in a cancer-type specific manner. Genes under selection in tumors shows a high accuracy (92%) when evaluated via strict cross-validations. Its application to 10 172 tumor exomes found known and novel cancer drivers with high tissue-specificities. In 11 out of 13 OGs shared among multiple cancer types, we found functional domains selectively engaged in different cancers, suggesting differences in disease mechanisms. Availability and implementation An R implementation of the GUST algorithm is available at https://github.com/liliulab/gust. A database with pre-computed results is available at https://liliulab.shinyapps.io/gust. Supplementary information Supplementary data are available at Bioinformatics online.

Abstract PURPOSE Brain tumor related epilepsy (BTE) is a major co-morbidity in patients with glioma. It is difficult to determine whether the use of anti-epileptic drugs is necessary. We attempted to build a machine-learning model to predict the probability of seizure presentation (SP) with glioma. METHODS We trained a random forest classifier using the following variables: volumetric data of pre-treatment MR images (T1Gd and T2-FLAIR sequences), patient demographics (age; sex), and measurements of tumor proliferation (log(ρ)), invasiveness (log(D)) and their relative ratio (log(ρ/D)). Our cohort consisted of 221 patients total. Using an 80-20 ratio, we used 176 patients (76 SP, 100 nSP) for training and the remaining 45 patients (19 SP, 26 nSP) were used for testing. We also trained on male-only and female-only cohorts to evaluate any sex differences in prediction. For training, 108 males (53 SP, 55 nSP) were used and 28 for testing (14 SP, 14 nSP). We used 72 females (21 SP, 49 nSP) for training and 15 (7 SP, 8 nSP) for testing. We corrected for class imbalance in the female cohort before training. Using 10-fold cross-validation and a separate testing set, we measured performance by ROC curve (AUC), accuracy, sensitivity, and specificity of predictions (average of folds in cross validation). RESULTS The female model achieved the highest AUC (0.853) followed by the mixed model (0.726) and the male model (0.651). In the validation set, the accuracy/sensitivity/specificity of the three cohorts were as follows: mixed (0.726/0.696/0.750), female (0.853/0.830/0.875), and male (0.651/0.577/0.722). The performance of the testing set, in terms of accuracy/sensitivity/specificity were: mixed (0.733/0.74/0.73), female (0.8/0.57/1), and male (0.714/0.64/0.79). CONCLUSION We found a negative correlation between seizure probability and size and invasiveness of tumors. Our model shows promising performance on testing set data. Further cohort studies and training is warranted.

Abstract Sex differences in brain tumor related epilepsy (BTE) as an initial symptom of glioma are rarely investigated. Sex differences are being explored with increased interest more recently. Epidemiological studies have generally indicated overall incidence of epilepsy to be slightly higher in males than females, but a higher incidence of idiopathic generalized epilepsy has been seen in females in some studies. Clinicians regularly face the challenge of anti-epileptic drug prescription determination in patients with newly identified brain mass and would greatly benefit from knowing clinical characteristics in BTE. We analyzed clinical characteristics in patients with pathologically-determined glioma with known seizure status at clinical presentation using non-parametric and Fisher’s Exact tests with the entire cohort and male and female separately. From our clinical data repository, we identified 223 patients (females, n=86 (39%); males, n=137 (61%)) divided by those that presented with seizure (SP, n=96, 43%; F, n= 28; M, n= 68) and those that presented without seizure (nSP, n=127, 57%, F n=58, M n=69). In sex-specific analysis males had a significantly (x2=6.28, p=0.01) higher proportion of SP (49.6%) than females (32.6%). There was a dependence between seizure presentation status and tumor grade in males (x2=5.94, p=0.015). Tumor kinetics in the female cohort showed significantly (p< 0.0001) more diffuse tumors in SP compared to nSP. Right-sided tumors were predominantly nSP, while left-sided tumors were split more evenly between SP and nSP. The predominance of nSP among right-sided tumors seems to be driven by females (74%), male right-sided tumors were split more evenly between SP and nSP. Seizure status is dependent on tumor location for the combined cohort, however not for males (x2=5.23, p=0.16) or females (x2=4.34, p=0.23). Clearly there are sex differences and similarities in clinical characteristics at glioma presentation. Further characterization could lead to improved adherence of national standards for AED prescription.

Abstract Primary central nervous system lymphoma (PCNSL) is an aggressive and incurable variant of non-Hodgkin lymphoma (NHL) that is confined to the central nervous system. Most PCNSL (90%) are part of the immune-privileged site-associated diffuse large B-cell lymphomas (DLBCL). Unlike nodal DLBCL, only a limited number of genetic studies have been performed in PCNSL, partly due to lack of available tissue specimens. Because of the fragmented knowledge of the genomic basis, it is still a matter of debate whether they differ from systemic DLBCL with respect to their molecular features and pathogenesis and also if there is a CNS specific signature. We performed a comprehensive genomic study in a cohort of 22 immunocompetent (HIV- and EBV-) PCNSL. DNA was extracted from FFPE tissues (N=15) and frozen tissue (N=7). Samples were analyzed using a combination of aCGH (N=18), exome sequencing (N=10), mate-pair genome sequencing (N=2) and targeted sequencing (N=8). We found a complex karyotype with a median of 21 copy-number abnormalities (range 10–47), 6 structural abnormalities, 6 frameshift indels and 67 nonsynonymous mutations. By integrating mutation and copy number data we found a group of genes recurrently mutated and/or deleted in PNCSL. Remarkable findings were the high prevalence of MYD88 activating mutations (L265P/M232T/V217F), found in 69% of cases and the biallelic loss of CDKN2A (60%). A subset of recurrent abnormalities was exclusively found in PCNSL, and not being previously identified in systemic DLBCL. Thus, 11% of PCNSL have biallelic inactivation of TOX (a regulator of T-cell development) and PRKCD (protein kinase C delta), while another 17% of cases show focal monoallelic deletions/mutations in these genes. Finally, recurrent mutations have been identified in ATM, which have not been found in nodal DLBCL. Several other genes affected have been previously identified in nodal DLBCL, such as biallelic loss of TNFAIP3 (16%), PRDM1 (16%), GNA13, TMEM30A, B2M and CD58 (11% each), activating mutations of CD79B (28%) and CARD11 (19%) and translocations of BCL6 (22%). Components of the NF-kB pathways were altered in >90% of PNCSL. Pathway analysis also showed an enrichment of networks associated with immune response, proliferation, regulation of apoptosis and lymphocyte differentiation and activation. Finally, we searched for associations between genetic alterations and clinical outcome. We showed that deletions of 6q21 (PRDM1) and 6q23 (TNFAIP3) were both associated with shorter overall survival (p=0.007 and p=0.03, respectively). In summary, we report a genomic background in PCNSL similar to post-GC DLBCL but reinforcing the existence of a subset of abnormalities specific to PCNSL, suggesting their potential relevance in the disease pathogenesis. Additionally, the results obtained from FFPE samples are encouraging and larger archival tissue collections can now be analyzed in order to complement the still fragmented knowledge we have of the genetic basis of the disease. Disclosures: Stewart: Onyx: Consultancy, Research Funding; Millenium: Honoraria, Research Funding; Celgene: Honoraria; BMS: Honoraria. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy, Research Funding; Binding Site: Consultancy; Millennium: Consultancy; AMGEN: Consultancy; Cylene: Research Funding; Prognostication of MM based on genetic categorization of the disease: Patents & Royalties.

Abstract Abstract 2810 Poster Board II-786 We wished to explore the genetic events associated with disease progression and development of drug resistance in multiple myeloma (MM). To do so 11 patients were studied in whom at least two (range 2-3) temporally distinct samples of tumor DNA and RNA were available. The baseline genetic initiating event was defined for all patients (3 were genetic high risk; one with t(14;16) two with t(4;14)) as well as the gene expression profile (GEP) defined risk score using the Little Rock 70 or 17 gene panel (only one, the t(14;16) was GEP defined high risk). High resolution array CGH and gene expression were then performed on each sample. Of the 8 patients with a “low risk” tumor initiating event and low risk GEP score, 6 patients had no, or only one, copy number abnormality (CNA) change between the two temporally distinct MM samples. In stark contrast the 3 genetic high risk at baseline had between 17 and 40 distinct CNA changes at the time of progression. For all 11 patients 89 CNA were acquired with progression whereas 19 previously abnormal regions disappeared suggesting clones with these abnormalities were extinguished by the therapy received. In total we detected 0-40 CNA changes between the various timepoints, median 1, mean 10.7. The acquisition of new CNA was much more common than the loss of CNA. We then focused more specifically on the t(4;14) patient with the highest number of CNA changes. This patient has a well documented clinical course of having a sustained two year VGPR to Len/dex and then progressing while still taking Len/dex. Comparison of the pre and post-Len/dex samples identified 40 CNA changes(the most of any pair studied to date). Only six CNA were shared between the two samples, which included deletions of chr4, 9, 12, 13, and X plus a t(4;14) translocation. These likely represent the initiating “driver” tumor events. The new CNA we identified originated from both remodeled genomic changes and the emergence of unique changes, indicating a new tumor clone had emerged while the previously dominant clone had regressed (e.g. a deletion of a large segment of chromosome 8 at diagnosis was no longer observed in the relapse sample). The newly acquired CNA encompassed 3968 genes (13.7% of the genes in the genome), however, only 1235 of these genes (4%) were expressed in this patient at diagnosis (1188 in the typical myeloma patient). Since 1235 genes is still a large number we hypothesized that whole genome sequencing (WGS) would help elucidate the mechanism of lenalidomide resistance. We isolated DNA from germline tissue and CD138 purified tumor cells including: diagnostic, first relapse and second relapse samples. Utilizing SOLiD (Applied Biosystems, Foster City, CA) sequencing technology, we have completed fragment library WGS on both the germline and the final tumor samples. Quality control measures report the average number of sequence reads per start point to be less than 1.2, indicating the library is primarily composed of unique molecules. In addition, approximately 40% of the sequence reads map uniquely to the genome. Together these quality measures indicate our sample libraries are complex and provide good representation of the genome. Data on the whole genome sequence of myeloma at diagnosis and at the time of progression will be presented. Disclosures: Bergsagel: Celgene: Consultancy.

Abstract Abstract 420 Primary central nervous system lymphoma (PCNSL) is a rare and aggressive non-Hodgkin lymphoma that is confined to the CNS because of a poorly understood neurotropism. Most of PCNSL (90%) are part of the immune-privileged site-associated DLBCL (IPDLBCL). IPDLBCL consist in late–germinal center or post–germinal center lymphoid cells but that show very distinct characteristics that separate them from systemic DLBCL. It is still a matter of debate whether the PCNSL differ from nodal DLBCL with respect to molecular features and pathogenesis and also if there is a genomic signature specific of PCNSL. Only few genetic studies have been performed in PCNSL, partly due to the rarity of the tumors and the limited amount of available tissue. To gain insight into the genomic basis of PCNSL, we performed an integrated, high-throughput, genomic analysis in 17 immunocompetent, EBV- and HIV- cases. B-cell differentiation status was characterized by immunostains for CD10, MUM-1, and BCL-6. Either frozen samples or formalin fixed embedded paraffin sections from 17 PCNSL were studied by array-based comparative genomic hybridization (aCGH) using Sureprint G3 (1 million probes) array. Massively parallel whole-exome sequencing was performed in 4 of these cases. Additionally, 2 cases were analyzed by mate-pair whole genome sequencing searching for chromosomal breakpoints. Sanger DNA sequencing was used for validation. All cases were characterized by complex genomic aberrations with a median of 21 copy-number abnormalities (CNA, range 10–49), 4 structural abnormalities, 6 frameshift indels and 99 nonsynonymous exonic mutations. Focal deletion affecting CDKN2A (9p21) was the most common CNA, found in 14 of 17 cases (82%); with 6 of these cases (35%) having homozygous deletion. The second most frequent CNA involved the HLA genes (6p21), found in 11 of 17 (65%) cases; 4 of them (23%) with homozygous deletions. We identified recurrent CNA and mutations in several genes previously found in systemic DLBCL. Thus, PRDM1 (BLIMP1) was deleted or mutated in 47% of cases and the translocation IgH-BCL6 was found in 30% of PCNSL. Furthermore, recurrent mutations were found in NF-kB genes CD79B (75%, 3 of 4 cases analyzed), MYD88 (70%, 7 of 10), TNFAIP3 (50%, 2 of 4) and CARD11 (50%, 2 of 4). Additionally, recurrent abnormalities were found in B2M, BCL7A, CD58, CIITA, ETV6, GNA13, PAX5, TMEM30A and TP53. Nevertheless, we identified several recurrent genetic alterations not described in systemic DLBCL. TOX (a regulator of T-cell development) and TBL1XR1 (a negative regulator of the NF-kB and Wnt pathways) were either deleted or mutated in 30% of PNCSL, something not previously described in systemic DLBCL. Additionally, chromosomal breakpoints either in DLGAP1 or DLGAP2 (play a role in neuronal cell signaling) were found in 18% of PCNSL but not in systemic DLBCL. Moreover, mutations in ATM (master controller of cell cycle checkpoint), BAI3 (inhibitor of brain angiogenesis), BTG2 (cell cycle arrest), KDM6B (histone demethylase), PKC family members PRKCD/PRKCDE, genes from the histone cluster, the protocadherin family and the WD repeat domain were found in 10% to 50% of PCNSL. Pathway analysis including the most commonly affected genes in PCNSL showed an enrichment of networks associated with immune response, NF-kB pathway, proliferation, regulation of the apoptosis and lymphocyte differentiation and activation. In summary, we show evidence of a highly complex genome and identified a subset of genes with potential relevance in PCNSL pathogenesis. The genomic profile described here reinforces the existence of a specific molecular signature in PCNSL, thus helping to genetically differentiate this entity from the nodal DLBCL and related lymphomas. Disclosures: Stewart: Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy; Binding site: Consultancy; Millenium: Consultancy; AMGEN: Consultancy; Celgene : Research Funding; Onyx: Research Funding; prognostication of MM based on genetic categorization of the disease: Prognostication of MM based on genetic categorization of the disease Patents & Royalties.

Abstract Abstract 573 Using high throughput RNA interference screening on 6,722 druggable genes we previously identified XPO1/CRM1 as one of the 50 most vulnerable targets in Multiple Myeloma (MM)1. XPO1 knockdown proved lethal in MM cell lines, but had no effect on human embryonic kidney (293) cells or lung cancer (A549) cells, showing that XPO1 is a specific myeloma vulnerability, and that myeloma cell survival is dependent upon XPO1 expression. XPO1 encodes the protein exportin 1, a nuclear transport protein that exports tumor suppressor proteins from the nucleus, where they are active, to the cytoplasm, where they become inactive. We next analyzed XPO1 in MM via gene expression profiling (GEP). XPO1 expression is up-regulated as the disease progresses: patients with active MM have a higher level of XPO1 compared to normal plasma cells (p<0.04) and to patients with monoclonal gammopathy of undetermined significance or smoldering MM (p<0.0001). The highest levels were in human MM cell lines. TC classification revealed highest levels in t(11;14) and lowest levels in t(4;14) disease. Selective inhibitors of nuclear export (SINE) compounds have recently been developed that irreversibly inhibit XPO1/CRM1 and its nuclear export function. One such inhibitor, KPT-276, decreased the viability of all 12 MM cell lines tested in vitro, as shown by MTT assay. After 72 hours of drug treatment, a median IC50 value of approximately 175 nM (range 30–1000 nM) was observed. No synergy with other commonly used anti-MM therapeutics was observed in vitro. In contrast, the drug had little effect in 8 solid tumor cell lines with the exception of the B cell lymphoma line Ramos. KPT-276 was also consistently active in inducing apoptosis against MM primary patient samples. Using an IC80 dose of KPT-276, drug-treated samples had a reduced population of cells in S phase (8%) compared to cells treated with DMSO (21%). Using the vkappa*myc transgenic MM model, KPT-276 reduced monoclonal spikes (by a mean of 56%) in all mice treated orally with 150 mg/kg dose three times per week for 4 weeks. Furthermore, KPT-276 significantly reduced tumor growth in a xenograft MM1.S mouse model. GEP was performed in the presence or absence of drug in two different MM cell lines. Two genes of probable relevance, cell division cycle 25 homolog A (CDC25A) and Bromodomain-containing protein 4 (BRD4), were dysregulated by SINE treatment. Both are involved in cell cycle control and have been linked to MYC. RT-PCR and western blotting confirm that MYC, CDC25A and BRD4 are down-regulated, as soon as six hours, after treatment with KPT-276. KPT-276 has shown marked anticancer activities against B cell malignancies in vitro and is active and tolerated in Phase I canine studies. KPT-330, a close analog of KPT-276, is currently in Phase 1 studies in human with advanced hematological and solid tumors. Disclosures: Schmidt: Karyopharm: Research Funding. McCauley:Karyopharm Therapeutics Inc: Employment. Shacham:Karyopharm Therapeutics: Employment. Kauffman:Karyopharm Therapeutics Inc: Employment. Stewart:Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy.

Abstract Abstract 3968 To better understand the genetic events associated with extra-medullary multiple myeloma (MM) we completed whole exome, long-insert whole genome and RNA sequencing on a patient with t(14;16) and neck adenopathy, as well as whole genome sequencing on two additional patients with respectively: t(4;14) and plasma cell leukemia, and del 17 with chest wall mass. All patients had multi-drug resistant disease and del 13. The frequency of somatic non-synonymous single nucleotide variants (SNV) ranged from 119 to 498, including an average of 15 truncating SNV, as well an average of 75 structural variants (range 2–147). Importantly, in one patient a truncating mutation, Q99*, on one allele and minor clone point mutation, R283K, on the second allele was observed in CRBN, a gene whose expression is required for effective lenalidomide and pomalidomide anti-myeloma activity. In the same patient a non-synonymous mutation, E171K, was also observed in PSMG2, a proteasome assembly protein, and a non-synonymous mutation, G369A, in NR3C1, a glucocorticoid receptor. Subsequently we have sequenced CRBN in 27 patients and 7 cell lines and have found no further examples of mutation in CRBN but have previously reported a bi-alleleic focal deletion in the MM.1Sres cell line. Mutations in NR3C1 have not previously been described in other MM genomes. Other, potentially clinically relevant mutations in the three patients were observed in FGFR3, PRDM1, STAT5B, NRAS, KRAS, PIK3CA, NF1, ATM, NFKB2, CKS1B and ERBB4. Although the three patients did not share a unifying event, a number of mutated genes observed were shared with other published myeloma genomes including RB1, TP53, MLL3, JAG2, VAV3 and SETD2. We also looked at pathway activation across the three genomes with the most statistically mutated pathways including VEGF signaling and activation, cell adhesion and chemokines, cytoskeleton remodeling, integrins in carcinoma progression, TP53 signaling and NOTCH signaling. In conclusion, we have identified, for the first time, the presence of a mutation in CRBN in a myeloma patient as well as mutations in PSMG2 and NR3C1, likely associated with drug resistance. Disclosures: Schmidt: Karyopharm: Research Funding. Carpten:Life Technologies: Research Funding. Stewart:Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy.