Citations

Abstract MUC1 is over expressed and aberrantly glycosolated in >60% of pancreatic ductal adenocarcinomas. Over expression of MUC1 in pancreatic cancer is known, however the functional role has yet to be fully elucidated due to a dearth of appropriate models. In the present study, we have generated mouse models that spontaneously develop pancreatic ductal adenocarcinoma (KC), which are either Muc1 null (KCKO) or express human MUC1 as a self antigen (KCM). We show that PDA mice lacking Muc1 have significantly slower tumor progression, with tumor weight reaching up to a third of the KCM tumor and half of KC tumor. One out of 10 KCKO mice developed secondary metastasis versus 6 out of 10 and 3 out of 10 KCM and KC respectively. Cell lines derived from KCKO tumors have significantly lower tumorigenic capacity compared to cells derived from KCM tumors. Therefore, mice with KCKO tumors had a significant survival benefit compared to mice bearing the KCM tumors. In vitro, the KCKO cells have reduced proliferation and invasion compared to KCM cells and failed to respond to exogenous epidermal growth factor (EGF), platelet-derived growth factor (PDGF), or matrix metalloproteinase-9 (MMP9) stimuli. Further, significantly fewer KCKO cells entered the G2M phase of the cell cycle compared to the KCM cells, consequently more KCKO cells were observed at the S-phase of the cell cycle. Proteomics and western blotting analysis revealed a complete loss of cdc-25c expression, phosphorylation of MAPK, as well as a significant decrease in Nestin and Tubulin α-2 chain expression in KCKO cells. Treatment of the KCM cells with a MEK1/2 inhibitor, U0126, completely abrogated the enhanced proliferation of the KCM cells but had minimal effect on KCKO cells, strongly suggesting that MUC1 is necessary for MAPK activity and downstream oncogenic signaling. This is the first study to utilize a Muc1-null PDA mouse in order to fully elucidate the oncogenic role of MUC1, both in vivo and in vitro. 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 1070. doi:10.1158/1538-7445.AM2011-1070

Abstract Background: Alveolar rhabdomyosarcoma (ARMS) is an aggressive pediatric cancer showing skeletal muscle differentiation. New therapeutic targets are required to improve the dismal cure rates for patients with metastatic ARMS. Protein Kinase C iota (PRKCI) has been shown to play an important role in many cancers but little to date is known of this kinase's role in rhabdomyosarcoma. Materials and Methods: Human samples were obtained from the Pediatric Cooperative Human Tissue Network (Columbus, OH). Mouse samples were obtained from a Myf6Cre, Pax3: Fkhr, p53 conditional mouse model of ARMS and a Pax7CreER, Ptch1, p53 conditional model of embryonal rhabdomyosarcoma (ERMS). Expression of PKCι in tumors was evaluated by quantitative RT-PCR, western blotting and immunohistochemistry. To elucidate the functional role of PKCι in ARMS, we performed invasion assays, anchorage-independent colony formation assays and in vitro growth inhibition assays using primary cell lines obtained from mouse ARMS tumors, treating either with the PKCι specific inhibitor Aurothiomalate (ATM) or by PKCι RNA interference. Results: Over-expression of PKCι at the mRNA and protein level was confirmed in human and mouse ARMS and ERMS. Immunoblotting confirmed that PKCι and its downstream targets, mitogen-activated protein kinase and nuclear factor-kappa B were expressed and highly activated in primary cell cultures. Inhibition of PKCι by RNA interference resulted in a dramatic decrease in cell viability and colony formation. Treatment of primary cell culture using ATM resulted in decreased cell viability (IC50: 54.3 – 256.9 uM) and colony formation, and increased G2/M blockade. Co-treatment with ATM and vincristine, a microtubule inhibitor currently used in rhabdomyosarcoma treatment regimens, resulted in a Combination Index of 0.572 – 1.017, suggesting cooperativity between these agents. Conclusion: These results suggest that PKCι has an important function in proliferation of ARMS and that the PKCι specific inhibitor ATM shows activity in ARMS at clinically-feasible drug concentrations. Furthermore, these results suggest that combination therapy with vincristine and ATM should be investigated further in ARMS. Ken Kikuchi and Anuradha Soundararajan contributed this presentation equally. 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 1043. doi:10.1158/1538-7445.AM2011-1043

Abstract The Forkhead transcription factor, FoxO3a, is a known suppressor of primary tumor growth and is negatively regulated by growth factors via phosphorylation and mislocalization from the nucleus to the cytoplasm. Here we show for the first time that FoxO3a is nuclear in anaplastic thyroid carcinoma (ATC) and it transcriptionally upregulates cyclin A thereby promoting tumor growth in human ATC cells. Silencing FoxO3a in ATC cell lines leads to down-regulation of cyclin A mRNA and protein while over-expression of FoxO3a leads to upregulation of cyclin A protein. Transient co-transfection of cyclin A promoter linked to luciferase with FoxO3a leads to enhanced luciferase activity, which can be ablated when mutating the FoxO3a site on the cyclin A promoter. This combined data implicates an entirely novel function for FoxO3a in modulating cancer progression by promoting cell cycle progression and tumor growth. ATC is a poorly differentiated carcinoma with average survival upon diagnosis of 3–4 months with 99% lethality, notably the most aggressive and deadliest cancers known. This data also suggest that any therapies under development to inactivate FOXO3a may be effective at blocking tumor expansion. 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 1038. doi:10.1158/1538-7445.AM2011-1038

Abstract Lung adenocarcinoma is the most common type of primary lung cancer. Previous studies have shown that gene expression signatures may predict clinical outcome. In this study, we used a systems biology approach, weighted gene co-expression network analysis (WGCNA), to identify survival related networks and gene signatures. We first analyzed whole genome gene expression profiles in 82 lung adenocarcinoma tumor tissues from never smokers (smoked <100 cigarettes lifetime) and found a significant correlation of an expression module with tumor grade of differentiation (r=0.38, p=4×10−4) and overall survival (OS, p =0.027, HR, 1.71; 95% CI, 1.06-2.74) after adjusting for potential confounders (age and tumor grade). When this module signature was incorporated and compared to the conventional model consisting of clinical variables only, the survival prediction accuracy was increased from 0.70 to 0.75. Gene Ontology (GO) enrichment analysis indicated this module was significantly enriched in biological process GO term “cell cycle” (p = 2.1×10−53). To explore the effect of this network module at germline level, we performed the WGCNA on normal lung tissues derived from 78 of the 82 patients and observed significant association of an expression module with OS (adjusted p=3×10−4, HR=1.98; 95% CI, 1.36-2.87). Interestingly, this module was also significantly enriched in cell cycle-related genes (p=4.1×10−41). To further validate this result, we analyzed an independent microarray gene expression dataset including 442 lung adenocarcinoma patients from NCI Director's Challenge Consortium. We found the same association: the cell cycle-enriched module was correlated with tumor grade of cell differentiation (r=0.55, p-value=5×10−37) and OS (adjusted p=7.4×10−3; HR, 1.20; 95% CI, 1.05-1.37). We further identified 30 genes in the OS-related module that overlapped between the discovery and validation data sets. Furthermore, all these 30 genes were found to be up-regulated in adenocarcinoma compared to adjacent normal lung tissues in the discovery data set. Of the 30 genes, three key genes, UBE2C, TPX2 and MELK, were identified with highest connectivity in cell cycle-enriched module; their expression levels were significantly associated with OS in both discovery and validation sets. UBE2C and TPX2 have been reported as gene signatures for human lung cancer prognosis in vitro lung carcinogenesis system; MELK was identified as a key regulator of the proliferation of malignant brain tumors and malignant grade in human astrocytomas, and was also associated with breast cancer prognosis. Our results suggest that genes involved in cell-cycle are likely related with tumor aggressiveness and therefore can predict survival in lung adenocarcinoma. Further studies are needed to validate the key genes that could improve survival prediction and provide potential new targets to intervene progression of lung adenocarcinoma. 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 5060. doi:10.1158/1538-7445.AM2011-5060

Abstract Motivation: KRAS is commonly mutated in a variety of cancers including lung cancer. The KRAS gene is frequently mutated at codons 12 and 13 in lung adenocarcinomas in patients with a history of smoking. Tumors harboring an activating KRAS mutation are aggressive and are often resistant to available therapies. In the present study, we set out to identify pathways that are specifically altered in lung cancer patients whose tumors harbor a KRAS mutation using next generation sequencing technology. Methods: We performed 50nt paired-end RNA-sequencing in 15 lung adenocarcinoma samples (8 and 7 samples with and without KRAS mutation). Reads were aligned to genome and exon junctions using Illumina's alignment tool ELAND_RNA. CASAVA and Genome Studio data analysis software were used to obtain read counts for genes, exons and exon junctions. We applied a variety of computational methods (Casper R package, Bowtie, TopHat) and softwares (Partek, R statistical software, JMP, Ingenuity Pathway Anlaysis, DAVID) to carry out our analyses. Results: Differential gene expression and splicing analysis were performed between the two groups. We identified 115 genes that were differentially expressed and 112 genes that consist of splicing variants with at least 2 fold changes and p-value < 0.01. We randomly selected 6/15 samples and performed real-time qRT-PCR for 6 differentially expressed genes. Significant correlations were observed ranging from 0.44 to 0.83, when qRT-PCR results were compared with RNA-sequencing expression data. Pathway analysis with 115 differentially expressed genes and 112 splicing variants revealed that the most significant pathway is composed entirely of NFκB focus genes, suggesting that there is a direct connection between oncogenic KRAS and activation of the NFκB signaling pathway. Conclusions: NFκB has been implicated in KRas-mediated formation of early stage lung adenomas in the LSL-Kas mouse model. Our data indicate that this connection also occurs in human lung cancer and establish NFκB activation as a key manifestation of KRAS mutation in human lung cancer. Hence drugs targeting NFκB and NFκB related genes may potentially be helpful for the treatment of patients with oncogenic KRAS mutations. (Supported in part by grants from the 26.2 with Donna Foundation and the Florida Department of Health Bankhead/Coley program.) 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 4975. doi:10.1158/1538-7445.AM2011-4975

Abstract Pancreatic cancer is highly lethal with an estimated 5-year relative survival rate of less than 5%. A genome wide association study (GWAS) of pancreatic cancer (PanScan) conducted within the NCI Cohort Consortium and the Pancreatic Cancer Case-Control Consortium (PANC4) recently identified four common susceptibility loci for pancreatic cancer on chromosomes 1q32.1, 5p15.33, 9q34.2 and 13q22.1. To investigate how these germline variants influence pancreatic cancer risk, we are employing both genome wide and targeted approaches. For the former, we are characterizing the epigenome and transcriptome of pancreatic cell lines and tissue samples for genomic annotation and prioritization of methods to use in targeted approaches with the aim of directly linking pancreatic cancer risk variants to molecular phenotypes and mechanisms that underlie the association signals. As an example of our approach we will present results in a pancreatic cancer susceptibility locus on chromosome 1q32.2 marked by SNP (single nucleotide polymorphism) rs3790844. This SNP is located in the first intron of the NR5A2 gene that encodes a nuclear receptor of the Ftz-F1 family known to be involved in pancreatic development, cholesterol and bile acid homeostasis, steroidogenesis and cell proliferation. In ChIP-sequencing and MeDIP-chip experiments, we observed repressive histone modification marks (H3K27me3) and regions of DNA methylation in the NR5A2 gene locus in pancreatic cell lines whereas only a few weak positive histone modification marks were observed (H3K4me1 and H3K4me3). This pattern of epigenetic marks correlates well with low expression of NR5A2 in the same cell lines. Expression of the NR5A2 gene at the RNA level is high in normal pancreatic tissue samples as compared to stage I-III pancreatic adenocarcinoma, most islet cell and neuroendocrine tumors. Using immunohistochemistry, nuclear NR5A2 was detected in normal acinar cells and – at lower levels – in normal ductal cells. The protein was also expressed in low and high grade PanINs and in the majority of PDAC analyzed. Our analysis of the tissue specific expression of NR5A2 shows that it is mainly expressed in normal pancreas, colon, small intestine, liver and breast but detected at low levels or not at all in most other tissue types and cancer cell lines. Furthermore we have identified a novel NR5A2 transcript by rapid amplification of cDNA ends (RACE) and mapped a promoter in front of this transcript in the genomic region corresponding to first intron of the two annotated Refseq transcripts. Establishing a comprehensive catalog of epigenetic patterns coupled with targeted analysis to correlate risk variants to molecular phenotypes could provide functional plausibility for known pancreatic cancer association signals discovered by GWAS 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 4965. doi:10.1158/1538-7445.AM2011-4965

Abstract Background: Estrogen receptor (ER) expression in breast caner is an important biomarker for targeted therapy and outcome prediction. Nevertheless, the molecular mechanism that controls the phenotypic difference is little known. We used deep sequence technology to profile the transcriptome, gene copy number, and CpG island methylation simultaneously in eight commonly used breast cell lines to develop a model for how these genomic features are integrated in ER+ and ER- breast cancer. Materials and methods: Total mRNA sequence (mRNA-seq), gene copy number (DNA-seq), and genomic CpG island methylation (Methyl-seq) were carried out using the Illumina Genome Analyzer. Sequences were mapped to the human genome (hg18) to obtain digitized gene expression data, DNA copy number in reference to the non-tumor cell line (MCF10A), and methylation status of 21,570 CpG islands; differentially expressed genes between ER+ and ER- cell lines were selected and then correlated with methylation status of these genes’ CpG islands within 5kb of transcript start or copy number changes. The genes that appeared controlled by methylation or copy number changes in cell lines were further evaluated for their expression in the dataset of 129 primary breast tumors. Results: ER+ breast cancer cells had very different gene expression pattern from ER- cancer cells. The two cell line types formed two distinct clusters in unsupervised cluster and 1,873 genes were differentially expressed by moderated t statistics. We identified 149 differentially expressed genes that exhibited differential methylation of one or more CpG islands within 5kb of the 5’ end of the gene and for which mRNA abundance was inversely correlated with CpG island methylation status. Eighty nine of these 149 genes were also differentially expressed in the primary tumor samples and 84 of them were consistent with cell line gene expression and methylation data. The set of 149 genes were significantly enriched in the ER+ tumors by Gene Set Enrichment Analysis. Part of chromosome 8 was deleted in all ER- cells and part of chromosome 17 amplified in all ER+ cells. These loci encoded 30 genes that were overexpressed in ER+ cells; however, only 9 of these genes were overexpressed in ER+ tumors. Many of the methylation or CNA affected genes were functionally significant and some are known to be associated with breast cancer outcome such as GATA3 and LYN. Conclusions: A global pattern of differential CpG island methylation influences expression of a cohort of genes that contribute to the transcriptome landscape of ER+ and ER- breast cancer cells and tumors. The role of gene amplification/deletion in defining the transcriptome landscape of ER+ and ER- cells appears to more modest, although several potentially significant genes appear to be globally regulated by copy number aberrations. 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 4908. doi:10.1158/1538-7445.AM2011-4908

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 Epimorphin is a stromally produced factor that plays a role in normal mammary branching morphogenesis, but deregulated expression of epimorphin can have oncogenic consequences, although the oncogenic processes activated by epimorphin have not been elucidated. We had previously found that treatment of cultured mammary epithelial cells with epimorphin blocked activation of cell death pathways by a variety of apoptotic stimuli. These results implicated a potential role for epimorphin for inhibition of cellular apoptosis, a critical stage of tumor development. To identify potential mediators by which epimorphin could be affecting cell death pathways, we used a transcriptional profiling approach comparing mammary epithelial cells treated with epimorphin versus untreated cells. We found that epimorphin treatment led to significantly increased expression of IKBKE, which inhibits apoptosis through activation of NF-kappaB and which has recently been characterized as a key breast cancer oncogene. We found that epimorphin specifically blocks induction of apoptosis and activation of caspase-3 in cells treated with tumor necrosis factor-alpha, and that this activity was linked to epimorphin-mediated activation of IKBKE. We also found that knockdown of IKBKE blocked epimorphin-mediated induction of branching morphogenesis, implicating activation of IKBKE by epimorphin as a critical function for its normal morphogenic activities as well. These studies provide insight into an additional and unexpected linkage between mammary gland developmental processes and breast cancer progression. 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 4774. doi:10.1158/1538-7445.AM2011-4774

Abstract Introduction: Short constitutional telomere length is associated with aging and cancer, but the correlation of telomere length and age at diagnosis of CRC has not been evaluated. Methods: We measured telomere length using quantitative PCR of peripheral blood leukocyte DNA in 1026 individuals diagnosed with MSS CRC who were ≤60 years of age and were chemo-radiotherapy naïve at the time of blood draw. We compared telomere length with 1972 unrelated healthy controls who were frequency matched for gender and age at time of blood collection. We used constructed percentiles of telomere length using the data from the controls. Results: Overall, regardless of cancer status, there was a weak negative correlation of telomere length with age such that as age increased telomere length decreased (Pearson correlation coefficient =−0.1, p< 0.0001); and men had shorter telomeres than women (p=0.0002). The odds ratio (OR) for MSS CRC increased with longer telomere length (OR 1.62 [CI: 1.31-1.99] for those with telomere lengths in the 90th percentile compared to those with telomere lengths in the 50th percentile. In multivariate analysis with adjustment for gender, BMI, smoking, alcohol, and diabetes, telomere length remained an independent risk factor for CRC (p< 0.001), with interaction between telomere length and age (≤50, longer telomeres increased CRC risk; > 50 years old, increasing telomere length associated with decreased CRC risk). Risk was higher for MSS CRC ≤50 years for patients with telomere lengths in the 90th percentile compared to those in the 50th percentile (OR 2.31; CI:1.65-3.23). For subjects diagnosed 50-60 yrs, longer telomere length was associated with lower risk of CRC, and shorter telomere length was associated with the development of CRC (OR 1.22 for telomere lengths in the 10th percentile compared to those in the 50th percentile (OR 1.22:CI; 1.05-1.43). Conclusion: Telomere dynamics appear to influence MSS CRC risk and may differ on the basis of age of cancer diagnosis. 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 2994. doi:10.1158/1538-7445.AM2011-2994