Beiggi, Sara

Abstract Introduction: Several B-cell malignancies, including chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), are known to have a familial component to disease risk. Although several common inherited genetic variants have been found to be associated with risk of these malignancies, a large proportion of the heritability remains unexplained. Here we set out to identify rare high-penetrance susceptibility variants for CLL and MM using the established Mayo Clinic family study of B-cell malignancies. Methods: We performed exome sequencing on germ line DNA of 106 families with either two or more members with CLL (n=93 families) or two or more members with MM or monoclonal gammopathy of undetermined significance (MGUS) (n=13 families) using Aglient capture kits. All samples were sequenced on an Illumina HiSeq2000. Bioinformatics analyses leveraged the following software packages: Novoalign, Picard, The Genome Analysis Toolkit (GATK), and the Biological Reference Repository (bioR). Quality control filters were implemented; subjects with mis-specified relationships were removed as were variants with <95% call rate or <20x coverage, and those variants identified as sequencing artifacts. To identify potentially functional single nucleotide variants, the following was required a) uncommon in public databases, b) cosegregating variants in multiple families, c) variants to be highly conserved and in coding regions, and d) functional prediction status of deleterious (SIFT score), damaging (PolyPhen score), and a moderate, or high variant impact (SNPEffect). The association of these variants with risk was then evaluated in large samples of cases and controls in genome-wide association studies (GWAS). Results: In the CLL familial cohort, there were 443 individuals (160 with CLL, 73 with monoclonal B cell lymphocytosis (MBL), and 210 relatives without CLL or MBL) sequenced; and in the MM cohort, there were 39 individuals (13 with MM, 13 with MGUS and 13 without MM or MGUS) sequenced. A total of 61,992 single nucleotide variants passed quality control filters in the CLL cohort and 39,456 single nucleotide variants in the MM cohort. From these, we identified 32 variants in the CLL cohort and 39 variants in the MM cohort that were cosegregating in multiple CLL or MM families, respectively, and were predicted to affect protein structure or function. Of these, one CLL variant was within 1 Mb of a known GWAS-discovered locus. Moreover, there were seven CLL and four MM variants that were within 1 Mb of single nucleotide polymorphisms (SNPs) that had statistical significance between p<10-4 and p<10-6 in GWAS. Finally, there were 3 variants found to be common between CLL and MM families (see Table). Conclusions: Through whole exome sequencing, we identified a number of rare, highly penetrant predisposition variants for CLL and MM. Several of these variants were common to both B-cell malignancies providing evidence of shared genetic components; one variant may be a functional driver of the GWAS-discovered loci. These identified variants provide a list for future validation studies. Table: Exome variants common in both Chronic Lymphocytic Leukemia and Multiple Myeloma SNP ID rs41314099 rs61754114 rs143025033 Chromosome 17 6 7 Gene WSCD1 BACH2 TNS3 Penetrance (CLL) 0.70 0.75 0.80 Penetrance (MM) 1.00 0.80 0.75 Allele Frequency (CLL) 0.015 0.025 0.017 Allele Frequency (MM) 0.077 0.077 0.058 1000 Genome Frequency (European) 0.010 0.020 0.010 SIFT Term Deleterious Deleterious Deleterious PolyPhen Term Probably Damaging Probably Damaging Probably Damaging SNP: Single Nucleotide Polymorphism; CLL: Chronic Lymphocytic Leukemia; MM: Multiple Myeloma; Penetrance is defined as proportion of individuals carrying the alternate allele that are also affected; SIFT: Sorting Intolerant From Tolerant, predicts whether an amino acid substitution affects protein function; PolyPhen: Polymorphism Phenotyping, predicts possible impact of an amino acid substitution on the structure of a human protein Disclosures No relevant conflicts of interest to declare.

Abstract Background: Associations of medical history, lifestyle, and family history of hematological disorders with risk of chronic lymphocytic leukemia (CLL) have been previously established (1), but these exposures have not been well-studied as contributing factors to CLL prognosis. Here we investigate the association of these exposures with time to first treatment (TTFT) in 730 CLL patients. Methods: Newly diagnosed CLL patients seen at the Mayo Clinic between 2002 and 2012 were enrolled. CLL was defined according to the 1996 NCI-Working Group criteria (2). Risk factor data (including body mass index, smoking, alcohol use, sun exposure, having lived on a farm, any allergy, asthma, eczema, blood transfusion, diabetes, rheumatoid arthritis, and family history of hematological malignancy) were collected from self-administered questionnaires. Clinical and prognostic characteristics for CLL were extracted from medical records. Analyses were performed using Cox regression with first treatment as the event. Hazard ratios (HR) and 95% confidence intervals were estimated. We used Bonferroni correction for multiple testing with statistical significance at 0.004. Results: The median age at CLL diagnosis was 63 years (range 36 - 89); 65% were male, and 95% had a Rai stage&lt; III. The median follow up time was 6.3 years, and 40% received treatment. In unadjusted analyses, patients with any history of allergies had significantly longer TTFT (HR = 0.66, 95% CI: 0.51-0.85, P = 0.001). We also observed borderline significance with history of asthma (HR = 0.53, 95% CI: 0.34-0.85, P = 0.008). These associations held after adjusting for important prognostic factors including age, sex, Rai stage, and IGVH mutational status. The other risk factors had non-significant associations (P&gt;0.1). Conclusions: We observed an improved CLL prognosis in patients with a history of any allergies or asthma. These results were independent of other prognostic markers and suggest that an overactive IgE level from environmental exposures may provide insight into the progression of CLL. Literature Cited 1. Slager SL, Benavente Y, Blair A, Vermeulen R, Cerhan JR, Costantini AS, et al. Medical history, lifestyle, family history, and occupational risk factors for chronic lymphocytic leukemia/small lymphocytic lymphoma: the InterLymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr. 2014 Aug;2014(48):41-51. 2. Cheson BD, Bennett JM, Grever M, Kay N, Keating MJ, O’Brien S, et al. National Cancer Institute-sponsored Working Group guidelines for chronic lymphocytic leukemia: revised guidelines for diagnosis and treatment. Blood. 1996 Jun 15;87(12):4990-7. Citation Format: Sara Beiggi, James M. Foran, O’Byrne Megan, Celine M. Vachon, Timothy G. Call, Neil E. Kay, Tait D. Shanafelt, James R. Cerhan, Susan L. Slager. Medical history, lifestyle, and family history exposures and chronic lymphocytic leukemia outcome. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3453.

Abstract Introduction: Prognosis in CLL is heterogeneous with the elderly, males and those with multiple co-morbidities having the highest risk of poorer outcomes. Whether this reflects differences in the biology of CLL or the result of altered immunosuppression is unknown. In normal individuals, the telomeres in somatic cells shorten with age, predisposing those with shorter telomeres to death from infections, cancer and cardiovascular disease. In chronic lymphocytic leukemia (CLL), short telomere length in the leukemia cells predicts poor prognosis. The contribution of un-modifiable factors of age, sex or comorbidities to telomere shortening in CLL has not been elucidated. In the present study, we evaluated buccal cell (BC) telomere length in patients with CLL, to determine if this is predictive of survival, and can enhance the predictive value of leukemia cell telomere length. Methods: The Manitoba CLL tumor bank contains 168 samples from newly diagnosed CLL patients between 2007-2011; with a median follow-up of 4 years. Half of these patients required chemotherapy and one-tenth have died. Genomic DNA was extracted from purified CLL cells and buccal cells (BC) collected at diagnosis. Telomere length was established by multiplex quantitative real-time PCR. Telomere/standard (t/s) ratio was calculated using the beta-globulin gene as the standard. Statistical analysis was performed using Statistical Analysis Software (SAS) and Prism software. Results: The median adjusted telomere length was shorter in CLL cells than in BCs being 0.53 and 2.01, respectively. In BCs, telomere length significantly shortened with increasing age (p = 0.01) but was not reflective of the number of comorbidities or survival. In contrast, telomere length in CLL cells was independent of age (p = 0.44) and sex (p = 0.75). Short CLL telomere length correlated with other biological and clinical markers of poorer prognosis including un-mutated IGHV status (p&lt;0.0001), Zap70 positivity (p = 0.05), CD38 positivity (p = 0.003), short lymphocyte doubling time (p = 0.004), higher Rai stage (p = 0.02) and an earlier time to treatment (p&lt;0.0001). Patients with short CLL telomeres had also decreased survival at four years (p = 0.05); living 22 months less than those with normal telomeres. Adjusting for BC telomere length improved the prognostic value of CLL telomere length as an independent predictor of survival. Conclusions: These results demonstrate that BC telomere length in CLL patients shorten with age independent of co-morbidities, secondary malignancies and the respective CLL telomere length. CLL telomere shortening is strongly associated with biochemical and clinical markers of disease progression and survival. The predictive value for overall survival is enhanced by correcting for changes in buccal cell telomere length. Note: This abstract was not presented at the meeting. Citation Format: Lin Yang, Sara Beiggi, Yunli Zhang, Robert Schmidt, Spencer B. Gibson, James B. Johnston. Clinical impact of telomere shortening in normal and leukemia cells in chronic lymphocytic leukemia. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4624. doi:10.1158/1538-7445.AM2015-4624

Abstract Introduction Chronic lymphocytic leukemia (CLL) is a B-cell malignancy that is known to have a familial component to disease risk. Although 31 loci have been found to be associated with CLL risk, the functional variant(s) driving these associations is mostly unknown. Here we set out to identify rare, highly-penetrant, cosegregating, susceptibility variants within the known GWAS discovered loci using whole exome sequencing (WES) data in CLL families from the Mayo Clinic family study of B-cell malignancies. Methods We performed WES on germ line DNA of 93 CLL families with two or more members with CLL, using Agilent capture kits and Illumina HiSeq2000. Bioinformatics analyses leveraged the following software packages: Novoalign, Picard, The Genome Analysis Toolkit (GATK), and the Biological Reference Repository (bioR). Quality control filters were implemented; subjects with mis-specified relationships were removed, as were variants with &lt;75% call rate, &lt;8X coverage, and those identified as sequencing artifacts. Each GWAS locus was defined by +/- 1Mb of the top GWAS hit within the locus. Linkage disequilibrium (LD) was calculated among the single nucleotide variants (SNVs) located within each locus. Potentially functional SNVs were identified based on: a) uncommon in public databases (&lt; 5%), b) cosegregating in at least two CLL families, c) being highly conserved and in coding regions, and d) functional prediction status of deleterious (SIFT Score), damaging (PolyPhen Score), and a moderate, or high variant impact (SNP Effect). Results In our 93 CLL families, we sequenced 443 individuals: 160 with CLL, 73 with monoclonal B cell lymphocytosis (MBL), and 210 relatives that were not diagnosed with CLL or MBL at the time of sequencing. Median age of CLL diagnosis was 59 years (range 34-87), and 56% were male. Among the MBL individuals and relatives, the median age at recruitment was 55 years (range 18-93), and 40% were male. A total of 317,666 SNVs passed our sequencing quality control filters of which 10,731 were within +/- 1 Mb of known GWAS hits from 31 loci. Of these SNVs, 91% were in coding regions, 18% were reported to have high or moderate impact, 6% were estimated to be damaging and 6% were predicted to be deleterious. From these SNVs, we identified 76 putatively functional variants distributed across 25 GWAS loci that were cosegregating in the individuals with CLL or MBL in multiple CLL pedigrees. These SNVs were all located in coding regions with high or moderate impact and were predicted to be damaging and deleterious. Of these 76 variants, 56 had a frequency of &lt;0.005 in 1000 Genomes’ European population while the remaining 20 had a frequency of 1%. Conclusions Through WES, we identified a number of rare, penetrant and potentially predisposing SNVs located within 25 of the 31 CLL GWAS-discovered loci. These segregating variants provide a list for future validation and functional studies. Citation Format: Sara Beiggi, Daniel R. O'Brien, Sara J. Achenbach, Kari G. Chaffee, Timothy G. Call, Neil E. Kay, Tait D. Shanafelt, Julie Cunningham, James R. Cerhan, Celine M. Vachon, Susan L. Slager. Cosegregating variants in chronic lymphocytic leukemia (CLL) families that are located in loci discovered by genome wide association studies (GWAS). [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2764. doi:10.1158/1538-7445.AM2015-2764