Citations

Abstract Background: Non-Hodgkin lymphoma (NHL) is a malignancy of lymphocytes, and there is growing evidence for a role of germline genetic variation in immune genes in NHL etiology. Methods: To identify susceptibility immune genes, we conducted a 2-stage analysis of single-nucleotide polymorphisms (SNP) from 1,253 genes using the Immune and Inflammation Panel. In Stage 1, we genotyped 7,670 SNPs in 425 NHL cases and 465 controls, and in Stage 2 we genotyped the top 768 SNPs on an additional 584 cases and 768 controls. The association of individual SNPs with NHL risk from a log-additive model was assessed using the OR and 95% confidence intervals (CI). Results: In the pooled analysis, only the TAP2 coding SNP rs241447 (minor allele frequency = 0.26; Thr655Ala) at 6p21.3 (OR = 1.34, 95% CI 1.17–1.53) achieved statistical significance after accounting for multiple testing (P = 3.1 × 10−5). The TAP2 SNP was strongly associated with follicular lymphoma (FL, OR = 1.82, 95%CI 1.46–2.26; p = 6.9 × 10−8), and was independent of other known loci (rs10484561 and rs2647012) from this region. The TAP2 SNP was also associated with diffuse large B-cell lymphoma (DLBCL, OR = 1.38, 95% CI 1.08–1.77; P = 0.011), but not chronic lymphocytic leukemia (OR = 1.08; 95% CI 0.88–1.32). Higher TAP2 expression was associated with the risk allele in both FL and DLBCL tumors. Conclusion: Genetic variation in TAP2 was associated with NHL risk overall, and FL risk in particular, and this was independent of other established loci from 6p21.3. Impact: Genetic variation in antigen presentation of HLA class I molecules may play a role in lymphomagenesis. Cancer Epidemiol Biomarkers Prev; 21(10); 1799–806. ©2012 AACR.

AbstractSTAT3 regulates cell growth by up-regulating downstream targets, such as Myc. The frequency of phosphorylated STAT3 (pSTAT3) and Myc expression and their prognostic relevance is unknown within diffuse large B-cell lymphoma (DLBCL) germinal center B-cell (GCB) and non-GCB subtypes. pSTAT3 and Myc were studied by immunohistochemistry (IHC) on tumors from 40 DLBCL patients uniformly treated on a clinical trial of epratuzumab/rituximab-CHOP. A total of 35% of cases were pSTAT3-positive, and pSTAT3 positivity was more frequent in the non-GCB (P = .06) type but did not correlate with event-free survival (EFS). Myc expression was observed in 50% of cases and was more frequent in non-GCB type (P = .07). Myc-positive cases had inferior EFS in all patients, including the GCB and pSTAT3-positive cases, were more likely to express Myc (P = .06). Myc translocations involving the major breakpoint regions were found in 10% (3 of 29) of cases, and all 3 cases were GCB and had an inferior EFS (P = .09). pSTAT3, but not Myc expression, was correlated with elevated pretreatment serum cytokines, such as IL-10 (P = .05), G-CSF (P = .03), and TNF-α (P = .04). pSTAT3 IHC in DLBCL tumors has the potential to identify patients for STAT3 pathway–directed therapy; Myc IHC is a potential marker for inferior EFS in GCB patients.

AbstractGenetic aberrations, including trisomies 3 and 18, and well-defined IGH translocations, have been described in marginal zone lymphomas (MZLs); however, these known genetic events are present in only a subset of cases. Here, we report the cloning of an IGH translocation partner on chromosome X, t(X;14)(p11.4;q32) that deregulates expression of an poorly characterized orphan G-protein–coupled receptor, GPR34. Elevated GPR34 gene expression was detected independent of the translocation in multiple subtypes of non-Hodgkin lymphoma and distinguished a unique molecular subtype of MZL. Increased expression of GPR34 was also detected in tissue from brain tumors and surface expression of GPR34 was detected on human MZL tumor cells and normal immune cells. Overexpression of GPR34 in lymphoma and HeLa cells resulted in phosphorylation of ERK, PKC, and CREB; induced CRE, AP1, and NF-κB–mediated gene transcription; and increased cell proliferation. In summary, these results are the first to identify a role for a GPR34 in lymphoma cell growth, provide insight into GPR34-mediated signaling, identify a genetically unique subset of MZLs that express high levels of GPR34, and suggest that MEK inhibitors may be useful for treatment of GPR34-expressing tumors.

Abstract Diffuse Large B cell lymphoma (DLBCL) is the most common form of non-Hodgkin's lymphoma, and is associated with variable clinical presentation as well as variable response to standard chemotherapy regimens. Most significant advances in the treatment of DLBCL over the last 15 years, has been the addition of rituximab to standard chemotherapy. However, still 40% of patients relapse and succumbing to the disease. To improve clinical outcomes for DLBCL patients, it is urgent to identify novel molecular targets and stratify patients according to the expression of specific biomarkers that predict outcomes for the individual patient. Recently, it has been reported that the Signal transducer and activator of transcription 3 (STAT3) is over expressed in DLBCL human cell lines. However, no study has reported the STAT3 expression in DLBCL patient samples or its molecular subtypes (germinal centre B cell type (GCB) and Non-GCB cell type). The phosphorylation of STAT3 (pSTAT3) at its Tyr-705 residue (pSTAT3Tyr705) leads to its activation, followed by dimerization and translocation to the nucleus. Constitutively active STATs (particularly STAT3 and STAT5) contribute to the malignant phenotype in both human cancer cell lines and primary tumors. We hypothesize that constitutive STAT3 activity might be associated with drug resistance and adverse outcome in DLBCL patients. We determined whether STAT3 is constitutively active in patients with DLBCL, and whether activated STAT3 levels correlate with disease severity. Expression of total (tSTAT3) or tyrosine phosphorylated STAT3 (pSTAT3) was determined by in 40 DLBCL tumors. pSTAT3 was found in 52% (21/40) of cases with variable expression {18% low, (+); 25% moderate, (++); and 10% very high (+++)}. However 80% (32/40) of patients expressed tSTAT3. pSTAT3 was expressed in both germinal centre B cells (GCB) (46%) and Non-GCB (69%) DLBCL cases which were molecular subtyped by the Hans method. Furthermore in-vitro inhibition of STAT3 dephosphorylated STAT3 and caused an inhibitory effect on phospho-STAT3 positive DLBCL cells; there was minimal effect on phospho-STAT3 negative cells. Event free survival was lower in pSTAT3 positive compared to pSTAT3 negative DLBCL patients. In summary, our data provide the first evidence that over-expression of pSTAT3 is common in DLBCL, this expression does not clearly relate only to non-GCB tumors and therefore STAT3 inhibitors should be tested in all DLBCL. Pre-treatment assessment of pSTAT3 tumor status will be important to understand whether this IHC marker can preselect patients for response or lack of response to new JAK/STAT targeted agents such as TG101348 (Sanofi Aventis) and BMS-911543 (Bristol-Myers Squibb). Our findings suggest a potential novel therapeutic approach of targeting the inhibition of STAT3 activity in a majority of DLBCL patients. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2576. doi:1538-7445.AM2012-2576

Abstract Purpose: Pancreatic adenocarcinoma is among the most lethal forms of all malignancies. While significant research has implicated multiple genes in disease pathogenesis, identification of therapeutic leads has been difficult. The majority of currently available therapies provide only marginal benefit. To address this issue, our goal was to assess global somatic events across multiple pancreatic tumors by using next-generation sequencing technologies (NGS). Experimental Design: We performed whole genome sequencing (WGS) on paired tumor and normal samples from 3 pancreatic adenocarcinoma patients. Additionally, we performed whole transcriptome sequencing (WTS) on 2 of these patients’ tumors for which tumor RNA was available. Results: We generated on average 132 billion mappable bases across all patients using WGS, and identified 140 somatic coding events including point mutations, insertion/deletions, and chromosomal copy number variants. Data from WGS and WTS were integrated and analyzed to identify the most heavily affected pancreatic cancer pathways across all patients. The KRAS signaling pathway was identified as the most significant map. Unbiased global pathway analysis was also performed to identify processes that may be impacted. Consistent with the previous analysis, the most significant pathway from this analysis is also KRAS signaling. This integrated analysis specifically identifies heavily affected pathways in pancreatic cancer and pinpoints genes and processes that may be considered as targets for more effective therapies. Conclusions: While sequencing of additional patients is necessary to strengthen selection of key pathways, we demonstrate the utility of using NGS to understand the processes driving pancreatic adenocarcinoma so that standardized treatments for patients may be improved. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5104. doi:1538-7445.AM2012-5104

Abstract Peripheral T-cell lymphomas (PTCLs) are aggressive malignancies of mature T lymphocytes with 5-year overall survival rates of only ∼ 35%. Improvement in outcomes has been stymied by poor understanding of the genetics and molecular pathogenesis of PTCL, with a resulting paucity of molecular targets for therapy. We developed bioinformatic tools to identify chromosomal rearrangements using genome-wide, next-generation sequencing analysis of mate-pair DNA libraries and applied these tools to 16 PTCL patient tissue samples and 6 PTCL cell lines. Thirteen recurrent abnormalities were identified, of which 5 involved p53-related genes (TP53, TP63, CDKN2A, WWOX, and ANKRD11). Among these abnormalities were novel TP63 rearrangements encoding fusion proteins homologous to ΔNp63, a dominant-negative p63 isoform that inhibits the p53 pathway. TP63 rearrangements were seen in 11 (5.8%) of 190 PTCLs and were associated with inferior overall survival; they also were detected in 2 (1.2%) of 164 diffuse large B-cell lymphomas. As TP53 mutations are rare in PTCL compared with other malignancies, our findings suggest that a constellation of alternate genetic abnormalities may contribute to disruption of p53-associated tumor suppressor function in PTCL.

Abstract Background: In order to understand the genetic events associated with disease progression and the development of drug resistance in multiple myeloma, we studied four longitudinally collected samples from a single, high risk, t(4;14) multiple myeloma patient. Samples over a four-year period were available from diagnosis, at time of first progression on lenalidomide, second progression while on bortezomib, at time of relapsed refractory disease and with end stage plasma cell leukemia. To better understand these genetic events, we utilized DNA extracted from germline tissue and CD138 purified bone marrow tumor cells to conduct whole genome sequencing (WGS) utilizing the Life Technologies SOLiD™ platform. Results: We have sequenced over 100 billion bases per sample with whole genome fragment library sequencing providing an average of 30X aligned coverage at all four time points studied. Each sample was aligned to the reference genome (NCBI36/hg18) with BFAST and post-alignment removal of duplicates and recalibration performed with Picard and Genome Analysis Toolkit (GATK) respectively. We then called point mutations with SolSNP and compared the germline sample to each tumor sample utilizing the Paired Mutation Walker. To date, we have identified 224 nonsynonymous point mutations within 217 genes. We then utilized the Sorting Intolerant from Tolerant (SIFT) algorithm and identified 109 potentially damaging point mutations which include 108 novel mutations in coding exons. Of the 224 somatic mutations observed, only 20 of these mutations are common to all tumor time points. Interestingly, the diagnostic and bortezomib refractory (second progression) samples had 11 mutations in common while the lenalidomide refractory (first progression) sample shared only 4 mutations in common with the bortezomib refractory sample. This suggests the presence of multiple clones at diagnosis that, due to treatment selection pressure, may emerge or regress as the dominant clone. Preliminary pathway analysis reveals the presence of mutations in genes regulating NFKB and Akt, whose pathways are often dysregulated in cancer. Conclusions: Whole genome sequencing has revealed evidence of mutational differences in exons between tumor and germline DNA indicative of the presence of multiple clones at diagnosis and evolution of these clones over time. This data supports the use of multiple drug therapies that target multiple clones and challenges the long held assumption that a patient who becomes refractory to a particular treatment will always be refractory to that treatment. Additional evaluation in a larger population is needed to confirm these findings. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4838. doi:10.1158/1538-7445.AM2011-4838

Abstract Background: NHL is a malignancy of lymphocytes, and there is growing evidence for a role of immune dysfunction in the etiology of this malignancy. We conducted a 2-stage analysis of single nucleotide polymorphisms (SNPs) from 1,253 genes using the ParAllele (now Affymetrix) Immune and Inflammation Panel with risk of NHL. Methods: In Stage 1, we successfully genotyped 7,670 SNPs in a clinic-based study of 425 NHL cases and 465 frequency matched controls seen at the Mayo Clinic. Genes were tagged with SNPs from HapMap to provide coverage at r2 = 0.8 and minor allele frequency (MAF) >0.05. In Stage 2, we genotyped the top 768 SNPs on an additional 584 cases and 768 controls from the Mayo Clinic Study, and then conducted a pooled analysis of all 1009 cases and 1233 controls. The association of individual SNPs with NHL risk was assessed using the Odds Ratios (ORs) and 95% confidence intervals, adjusted for age and gender. The most prevalent homozygous genotype was used as the reference group, and each SNP was modeled individually as having a log-additive effect. Results: Overall, the mean age at diagnosis was 62.0 years for cases and the mean age at enrollment for controls was 61.1 years. The most common subtypes were chronic lymphocytic leukemia (CLL, N=343), follicular lymphoma (FL, N=245), and diffuse large B-cell lymphoma (DLBCL, N=178). In the pooled analysis, there were 3 SNPs at p<0.0004. The top SNP was rs241447 (MAF=0.26) from TAP2 at 6p21.3 (OR=1.34, 95% CI 1.17-1.53, p=0.00003). This SNP is a cSNP that leads to a missense change (Ala→Thr). The second SNP was rs2857597 (MAF=0.26) from AIF1, also at 6p21.3 (OR=0.77, 95% CI 0.67-0.88, p=0.0002). The region spanning these two SNPs had multiple risk SNPs with p<0.01, including SNPs in BAT2 (rs3132453), BAT3 (rs2242656), C2 (rs7746553), HLA-DRA (rs8084, rs7192), and TAP2 (rs1894408). Of these SNPs, only rs241447 (TAP2) and rs7192 (HLA-DRA) displayed any substantial LD (r2=0.84, all other r2<0.25). The third SNP was rs754505 (MAF=0.07) from NFATC1 at 18q23 (OR=0.63, 95% CI 0.49-0.81, p=0.0003). There were 4 additional SNPs in this gene with a p<0.05 (rs7240932, rs396127, rs177820, rs183374). In subtype analysis, the SNPs from 6p21.3 showed the strongest associations with FL (including the TAP2 SNP rs241447, p=6.9 × 10−8), although there were also associations with CLL (except for the TAP2 and C2 SNPs) and DLBCL (except for the HLA-DRA SNPs). For NFATC1 the associations were similar across the main NHL subtypes. Conclusions: We identified strong associations with NHL risk in the 6p21.3 region, which includes the MHC locus. Our results were particularly striking for FL and supports recent GWAS and candidate gene studies that implicate this region. We also identified NFATC1 as a susceptibility gene. NFATC1 is known to regulate the expression of growth and survival genes including MYC, TNF, CD40L, and BAFF, all of which have also been linked to lymphomagenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2761. doi:10.1158/1538-7445.AM2011-2761

Abstract The longitudinal evolution of a myeloma genome from diagnosis to plasma cell leukemia has not previously been reported. We used whole-genome sequencing (WGS) on 4 purified tumor samples and patient germline DNA drawn over a 5-year period in a t(4;14) multiple myeloma patient. Tumor samples were acquired at diagnosis, first relapse, second relapse, and end-stage secondary plasma cell leukemia (sPCL). In addition to the t(4;14), all tumor time points also shared 10 common single-nucleotide variants (SNVs) on WGS comprising shared initiating events. Interestingly, we observed genomic sequence variants that waxed and waned with time in progressive tumors, suggesting the presence of multiple independent, yet related, clones at diagnosis that rose and fell in dominance. Five newly acquired SNVs, including truncating mutations of RB1 and ZKSCAN3, were observed only in the final sPCL sample suggesting leukemic transformation events. This longitudinal WGS characterization of the natural history of a high-risk myeloma patient demonstrated tumor heterogeneity at diagnosis with shifting dominance of tumor clones over time and has also identified potential mutations contributing to myelomagenesis as well as transformation from myeloma to overt extramedullary disease such as sPCL.

To gain insight into the genomic basis of diffuse large B-cell lymphoma (DLBCL), we performed massively parallel whole-exome sequencing of 55 primary tumor samples from patients with DLBCL and matched normal tissue. We identified recurrent mutations in genes that are well known to be functionally relevant in DLBCL, including MYD88 , CARD11 , EZH2 , and CREBBP . We also identified somatic mutations in genes for which a functional role in DLBCL has not been previously suspected. These genes include MEF2B , MLL2 , BTG1 , GNA13 , ACTB , P2RY8 , PCLO , and TNFRSF14 . Further, we show that BCL2 mutations commonly occur in patients with BCL2 / IgH rearrangements as a result of somatic hypermutation normally occurring at the IgH locus. The BCL2 point mutations are primarily synonymous, and likely caused by activation-induced cytidine deaminase–mediated somatic hypermutation, as shown by comprehensive analysis of enrichment of mutations in WRCY target motifs. Those nonsynonymous mutations that are observed tend to be found outside of the functionally important BH domains of the protein, suggesting that strong negative selection against BCL2 loss-of-function mutations is at play. Last, by using an algorithm designed to identify likely functionally relevant but infrequent mutations, we identify KRAS , BRAF , and NOTCH1 as likely drivers of DLBCL pathogenesis in some patients. Our data provide an unbiased view of the landscape of mutations in DLBCL, and this in turn may point toward new therapeutic strategies for the disease.