Eckel‐Passow, Jeanette E.

Abstract Abstract 1265 Poster Board I-287 Introduction Fluorescence in situ hybridization (FISH), in combination with other markers, is used as a prognostic tool for CLL patients at diagnosis. The presence or absence of trisomy 12 and deletions at 13q, 11q, and 17p helps to predict disease progression and to stratify patients for therapeutic decisions. We hypothesized that whole genome single nucleotide polymorphism (SNP)-based copy number variation (CNV) analysis would capture all of the information in current CLL FISH panels and would reveal new CNV features in the CLL genome. Patients and Methods Nineteen early-intermediate clinical stage, untreated CLL patients aged 29 to 77 were determined to be at high risk for disease progression by FISH, IgVH mutation status, ZAP-70, and CD38 prognostic markers. CLL cells and normal cells were separated by magnetic bead selection from patient peripheral blood samples with absolute lymphocyte counts that ranged from 7.4 to 162 × 109/L. CNV analysis was performed on purified genomic DNA from the CLL cells and from normal cells for each patient in order to distinguish acquired CNVs in malignant cells from polymorphic CNVs in the human genome. We used the Illumina human660w-quad beadchip, a SNP-based microarray for whole-genome genotyping and CNV analysis that contains more than 550,000 tag SNPs and approximately 100,000 additional markers that target regions of common CNV. CNV data was analyzed using CNV partition (Illumina Genome Studio software) and PennCNV. Results 100% concordance is found between del(13q), del(11q), and del(17p) FISH abnormalities and loss of heterozygosity (LOH) at 13q, 11q, and 17p by CNV analysis. All three patients with trisomy 12 by FISH show copy number(CN)=3 of chromosome 12 by CNV analysis. Of 15 patients with del(13q) by FISH, 12 out of 15 have regions of hemizygous deletion on 13q that vary from ∼830 Kb to ∼38 Mb. The smallest region of LOH is located within 13q14.3. Three out of 15 patients show homozygous deletion within 13q14.3. One of these 3 patients has copy-neutral LOH of the entire 13q arm with an embedded 835 Kb segment of homozygous deletion at 13q14.3. Two patients have large discontinuous segments of LOH on 13q, indicating complex interstitial deletion events. Two out of 5 patients with del(13q) as a sole FISH abnormality show additional CNV events in the CLL genome. One of these patients has copy neutral LOH at 2q33.1-telomere(tel). One other patient with sole del(13q) FISH shows LOH events at 10q23.31-23.33 and at 15q15.1. Five out of six patients with del(11q) by FISH have either 13q LOH (n=4) or chromosome 12 CN=3 (n=1) without any other CNV events detected in the CLL genome. One patient with trisomy 12 and del(11q) by FISH has three additional acquired CNV abnormalities in the CLL genome: LOH at 7p15.2-tel, LOH at 11p13, and CN=3 at 3q24-tel. In contrast to patients with del(11q), del(13q), and trisomy 12, patients with del(17p) by FISH have numerous acquired CNV abnormalities in the CLL genome. These include LOH events at 1p34.3-p34.2, 2q34-q36.3, 3p21.31-tel, 4p13, 4p15.1-tel, 15q11.2-q14 and 15q14-q15.3, 16p13.3-tel, 16p13.11, 16p13.2, 18p11.21-tel, 20p11.21-tel, and 20q13.2-q13.31. CN=3 at 2p12-tel is detected in 2 out of 5 patients with 17p hemizygous deletion. One out of 5 patients with 17p hemizygous deletion shows CN=3 at 10q22.2-tel. One other patient also with 17p hemizygous deletion shows CN=3 at 22q12.2-tel. Conclusions Whole genome CNV analysis by SNP-based microarrays greatly expands our ability to detect acquired genomic events in CLL cells. These events include hemizygous deletion, homozygous deletion, copy-neutral LOH, and CN=3 duplication. Detection of copy-neutral LOH is not possible by FISH or array comparative genomic hybridization technology. The current study reveals a high number of acquired CNV events in earlier stage, untreated CLL patients with 17p hemizygous deletion. This observation, indicative of genomic instability, is consistent with the known poor prognosis of del(17p) patients. The new somatic CNV abnormalities detected in CLL cells may help to discover additional genes or signaling pathways involved in CLL initiation and progression. In addition, the new CNV markers may be used in larger clinical studies to improve CLL prognosis and patient stratification for therapy. Disclosures Shanafelt: Genentech: Research Funding; Hospira: Membership on an entity's Board of Directors or advisory committees, Research Funding; Polyphenon E International: Research Funding; Celgene: Research Funding; Cephalon: Research Funding; Bayer Health Care Pharmaceuticals: Research Funding. Kay:Genentech, Celgene, Hospira, Polyphenon Pharma, Sanofi-Aventis: Research Funding; Biogenc-Idec, Celgene, Genentech, genmab: Membership on an entity's Board of Directors or advisory committees. Zent:Genentech, Bayer, Genzyme, Novartis: Research Funding.

Abstract Abstract 669 Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in the Western world but its pathogenesis remains largely unknown. More recently, a widely prevalent premalignant condition termed monoclonal B cell lymphocytosis (MBL) has been defined and similarly involves expansion of a CD19+CD5+ population of B cells. MBL has been the focus of a wide number of recent studies in hopes it can provide insight into the early pathological events that lead to clonal expansion of a pre-leukemic CLL-like clone. Previously, we and others identified the transcription factor lymphocyte enhancer-binding factor-1 (LEF-1) as one of several genes significantly over expressed in CLL B cells relative to blood CD19+ B cells from healthy adults. LEF-1 is crucial for the proliferation and survival of pro-B cells during B cell development and deregulated LEF-1 activation has been directly linked with leukemogenesis in a transgenic murine model. In the present study, we addressed three critical questions concerning LEF-1 and CLL: 1) do CD5+ normal B cells express LEF-1; 2) at what stage of transformation does LEF-1 expression first appear; and 3) what mechanism(s) underlies LEF-1 expression in leukemic B cells. Methodology: The goals of our study were to: 1) determine the LEF-1 expression status of normal CD 19+/CD5+ human B cells; 2) determine the expression status of LEF-1 in clonal B cells present in patients with MBL; and 3) identify regulatory mechanisms that control aberrant expression of LEF-1 in CLL B cells. In order to achieve the first two goals, a 3-color flow cytometry assay for CD19, CD5, and intracellular LEF-1 was developed. To achieve the third goal, we performed in silico analysis of the LEF-1 locus and correlated this with publicly available genome wide methylated CpG island recovery assay (MIRA) data describing the methylome of normal human B cells (Rauch, T. A. Proc Natl Acad Sci U S A. 2009; 106(3): 671-8). Results: Analysis of human umbilical cord blood B cells, a rich source of the CD19+/CD5+ B cell subset, revealed that all normal CD 19+/CD5+ human B cells are negative for LEF-1 protein expression. These data demonstrate LEF-1 expression by CLL B cells is truly aberrant and does not simply reflect the phenotype of CD5+ lineage B cells. We next tested if the CD19+/CD5+ cells obtained from patients with MBL express LEF-1 protein. In these analyses, we restricted our study to MBL patients with absolute B cell counts of less than 2.5 ×10 9 cells/(L) (range: 0.756 - 2.44 × 10 9 cells/(L)), which is significantly below the upper limit that defines the MBL to CLL transition. Of interest, each MBL sample analyzed (n=6) revealed the presence of two populations of cells: 1) CD19+/CD5+ B cells expressing LEF-1; and 2) CD19+/CD5- B cells lacking expression of LEF-1. To confirm the clonal nature of the CD19+/CD5+ cells from MBL patients we demonstrated that the cells were light chain restricted. These data clearly indicated that LEF-1 expression becomes deregulated in the premalignant state of MBL and may therefore represent an early event in CLL leukemogenesis. In order to identify differential pathways of LEF-1 regulation that may be altered in CLL and MBL B cells, in silico promoter analysis of LEF-1 was performed. We identified a number of potential transcription factor binding sites as well as a putative CpG island in the 5' promoter region of LEF-1. Using data from a human B cell genome wide methylation array, we were able to determine that this same putative LEF-1 promoter CpG island was highly methylated in normal human B cells. Methylation of promoter region CpG islands is known to play an important role in developmental regulation of gene expression and may be the operative mechanism underlying silencing of LEF-1 expression in normal B cells. Conclusions: LEF-1 expression is deregulated in MBL and appears to be an early and possibly key event in the transition of normal B cells into a premalignant/malignant state. Our data suggest that loss of epigenetic regulation of this developmentally important locus may play a role in aberrant LEF-1 expression in MBL and CLL B cells. Ongoing studies are aimed at determining the methylation status of the LEF-1 promoter in CLL B cells and the functional role of this protein in transcriptional regulation and survival of CLL and MBL cells. Disclosures: No relevant conflicts of interest to declare.

Abstract BACKGROUND: Approximately 5% of gliomas occur in individuals with a family history of glioma, and first-degree relatives of brain tumor cases have a two-fold increase in risk of brain tumor. Recent somatic characterization has shown that tumors from familial cases are indistinguishable from sporadic cases, suggesting that familial cases may arise through similar mechanisms of gliomagenesis, and therefore may be associated with common variants as well as rare mutations. In this analysis, we assessed whether previously identified common risk variants are associated with familial glioma. METHODS: Data were obtained from the Glioma International Case Control (GICC) and Gliogene studies for 448 cases with reported family history, 4,405 cases without reported family history, and 3,288 controls. We assessed 25 risk loci previously identified by glioma GWAS, and odds ratios (OR) and 95% confidence intervals (95%CI) were calculated using an additive genetic logistic regression model adjusted for age, sex, and the first two principal components for familial cases versus unaffected controls, and non-familial cases versus controls. Results were considered significant at p<0.002 (Bonferroni correction for 25 tests). RESULTS: Significant associations were detected at 5/25 loci, including TERT, EGFR, CCDC26, CDKN2B, and RTEL1. The strongest association was at rs55705857 (CCDC26, OR=2.7, p=7.49x10-17). For GBM (222 familial cases), significant associations were detected at 6/26 loci (TERT, EGFR, CDKN2B, TP53 and RTEL1), while in non-GBM (205 familial cases) significant associations were detected at 3/25 loci (LRIG1, CCDC26, PHLDB1). These SNPs were further examined using a case-only approach comparing familial to non-familial cases, and there was no significant difference in allele frequencies by family history status. There was a strong correlation between log(OR) for familial cases only versus non-familial cases (adjusted R2=0.88). CONCLUSIONS: In this analysis we identified a significant association between familial glioma and five common risk loci previously identified by glioma GWAS. This provides further evidence of shared pathways of genetic risk and gliomagenesis between familial and non-familial glioma. Further exploration is necessary to determine the overall contribution of common genetic variation to risk of familial glioma. Citation Format: Quinn T. Ostrom, Georgina Armstrong, Christopher I. Amos, Jonine L. Bernstein, Elizabeth B. Claus, Jeanette E. Eckel-Passow, Dora Il'yasova, Christoffer Johansen, Daniel H. Lachance, Rose K. Lai, Ryan T. Merrell, Sara H. Olson, Joellen H. Schildkraut, Sanjay S. Shete, Richard S. Houlston, Robert B. Jenkins, Margaret R. Wrensch, Beatrice Melin, Jill S. Barnholtz-Sloan, Melissa L. Bondy. Previously identified common glioma risk SNPs are associated with familial glioma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4173.

AbstractBackgroundGlioblastoma (GBM) represents an aggressive cancer type with a median survival of only 14 months. With fewer than 5% of patients surviving 5 years, comprehensive profiling of these rare patients could elucidate prognostic biomarkers that may confer better patient outcomes. We utilized multiple molecular approaches to characterize the largest patient cohort of isocitrate dehydrogenase (IDH)–wildtype GBM long-term survivors (LTS) to date.MethodsRetrospective analysis was performed on 49 archived formalin-fixed paraffin embedded tumor specimens from patients diagnosed with GBM at the Mayo Clinic between December 1995 and September 2013. These patient samples were subdivided into 2 groups based on survival (12 LTS, 37 short-term survivors [STS]) and subsequently examined by mutation sequencing, copy number analysis, methylation profiling, and gene expression.ResultsOf the 49 patients analyzed in this study, LTS were younger at diagnosis (P = 0.016), more likely to be female (P = 0.048), and MGMT promoter methylated (UniD, P = 0.01). IDH-wildtype STS and LTS demonstrated classic GBM mutations and copy number changes. Pathway analysis of differentially expressed genes showed LTS enrichment for sphingomyelin metabolism, which has been linked to decreased GBM growth, invasion, and angiogenesis. STS were enriched for DNA repair and cell cycle control networks.ConclusionsWhile our findings largely report remarkable similarity between these LTS and more typical STS, unique attributes were observed in regard to altered gene expression and pathway enrichment. These attributes may be valuable prognostic markers and are worth further examination. Importantly, this study also underscores the limitations of existing biomarkers and classification methods in predicting patient prognosis.

Abstract Background: The incidence of renal cell carcinoma (RCC) in the United States (U.S.) continues to rise and this trend cannot be fully attributed to incidental detection via increased use of abdominal imaging. Related to this, obesity rates have been rising steadily in the U.S. for several decades and obesity is one of the most widely accepted risk factors for the development of RCC. Interestingly, to date there are limited data regarding the molecular mechanisms that link obesity with an increased risk of RCC. Moreover, the few studies that have investigated the molecular underpinnings that link obesity and RCC have all used a candidate gene approach focusing exclusively on evaluation of germline genetic alterations (i.e., host genetics) and not somatic alterations in the tumor itself. Motivated by this, we used a multi-stage design to identify and validate genes that are associated with obesity-related clear cell RCC (ccRCC). Methods: We conducted a gene-expression microarray study of ccRCC and compared gene expression between 19 obese and 46 non-obese patients in both ccRCC tumors and patient-matched normal kidney tissues. Analyses were first stratified by smoking status, the other widely acceptable risk factor for RCC, and subsequently performed on the pooled cohort. To identify genes that are specific to obesity-related ccRCC, we identified Affymetrix probesets that had a tissue type-by-obesity status interaction p-value <0.01 amongst non-smokers (stage 1), an interaction p-value <0.05 in patients with a history of smoking (stage 2) and an interaction p-value<0.01 in the pooled analysis (stage 3). Lastly, targeted validation was performed via RT-PCR on an independent cohort of 19 obese and 54 non-obese patients in both ccRCC tumors and patient-matched normal kidney tissues (stage 4). In addition to evaluating differential expression, an enrichment analysis was performed using DAVID and the results were compared to the Genetic Association Database. Results: From our microarray analyses, we identified two genes and one non-coding RNA as having candidate associations with obesity-related ccRCC: EFCAB6, ENRAGE and NCRNA00263, respectively. Using RT-PCR, we validated that while expression of ENRAGE is similar in normal kidney tissue across obese and non-obese subjects, ENRAGE is significantly over expressed in ccRCC tissues from obese patients compared to non-obese subjects. Others have shown that ENRAGE is a useful biomarker of inflammation and has a positive association with visceral fat adiposity, which provides further credence to our observations. As an alternative analysis approach, using the Genetic Association Database to identify medically-relevant somatic features, we also observed a putative relationship between GAL, IL6R, NMB and SORBS1 with obesity. Although the results of this alternative analysis approach are exploratory and thus need to be validated, there are some interesting relationships to note. Particularly, several variants in IL6R have been previously linked to obesity, diabetes and fat mass. Also, GAL is thought to play a role in drug resistance to chemotherapy in cell lines, warranting continued investigation to see if obese individuals with high or low expression show differential drug response. Conclusions: We provide evidence that overexpression of ENRAGE in ccRCC tumor tissue is an obesity-associated alteration. Up regulation of ENRAGE could lead to local, autocrine stimulation of the RAGE receptor and thus support cancer progression. Additionally, we show evidence of a putative relationship between GAL, IL6R, NMB and SORBS1 with obesity; however, these results need to be validated. Citation Format: Jeanette E. Eckel-Passow, Daniel J. Serie, Brian M. Bot, Richard W. Joseph, Steven N. Hart, John C. Cheville, Alexander S. Parker. Overexpression of ENRAGE is an obesity-related alteration in clear cell renal cell carcinoma. [abstract]. In: Proceedings of the Twelfth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2013 Oct 27-30; National Harbor, MD. Philadelphia (PA): AACR; Can Prev Res 2013;6(11 Suppl): Abstract nr B42.

Glioma incidence is highest in non‐Hispanic Whites, and to date, glioma genome‐wide association studies (GWAS) to date have only included European ancestry (EA) populations. African Americans and Hispanics in the US have varying proportions of EA, African (AA) and Native American ancestries (NAA). It is unknown if identified GWAS loci or increased EA is associated with increased glioma risk. We assessed whether EA was associated with glioma in African Americans and Hispanics. Data were obtained for 832 cases and 675 controls from the Glioma International Case–Control Study and GliomaSE Case–Control Study previously estimated to have <80% EA, or self‐identify as non‐White. We estimated global and local ancestry using fastStructure and RFMix, respectively, using 1,000 genomes project reference populations. Within groups with ≥40% AA (AFR ≥0.4 ), and ≥15% NAA (AMR ≥0.15 ), genome‐wide association between local EA and glioma was evaluated using logistic regression conditioned on global EA for all gliomas. We identified two regions (7q21.11, p = 6.36 × 10 −4 ; 11p11.12, p = 7.0 × 10 −4 ) associated with increased EA, and one associated with decreased EA (20p12.13, p = 0.0026) in AFR ≥0.4 . In addition, we identified a peak at rs1620291 ( p = 4.36 × 10 −6 ) in 7q21.3. Among AMR ≥0.15 , we found an association between increased EA in one region (12q24.21, p = 8.38 × 10 −4 ), and decreased EA in two regions (8q24.21, p = 0. 0010; 20q13.33, p = 6.36 × 10 −4 ). No other significant associations were identified. This analysis identified an association between glioma and two regions previously identified in EA populations (8q24.21, 20q13.33) and four novel regions (7q21.11, 11p11.12, 12q24.21 and 20p12.13). The identifications of novel association with EA suggest regions to target for future genetic association studies.