Hostetter, Galen H.

Abstract Abstract 3527 Increasing evidence compiled from our lab and several others is illuminating the importance of epigenetic mechanisms in the pathogenesis of multiple myeloma (MM). The biochemical modifications that govern epigenetics are DNA methylation, and post-translational modifications of histone proteins on arginine and lysine residues. Modifications are generally associated with activation or repression of gene transcription depending upon the specific position of the modification. Histone methylation, catalyzed by histone methyltransferases (HMT) and histone demethylases (HDMT) are crucial for the proper programming of the genome during development. Deregulation of the methylation machinery can alter chromatin configuration and disrupt normal transcriptional programs, both features of cancer cells. Misregulated methylation may result from several genetic alterations in chromatin-modifying enzymes, which can include mutations, over-expression or chromosomal abnormalities. Indeed, genomic alterations of MLL, NSD1, CREBBP(CBP) MMSET and UTX, all encoding proteins involved in post-translational histone modifications, have been implicated in MM. The purpose of our study was to interrogate existing genomics datasets to identify additional HMT or HDMT genes that may be important in the pathogenesis of MM and, thus could become potential therapeutic targets. To identify novel HMT or HDMT in MM we mined existing expression, copy number and whole genome sequencing data generated as part of the Multiple Myeloma Research Consortium Genomics Initiative. Collectively, the datasets converged on numerous alterations involving histone methylation on lysine 9 (H3K9). One of these genes, a HDMT called JMJD1C, was over-expressed in approximately 15% of MM samples examined. We validated over-expression of JMJD1C expression by RT-PCR in over 50 clinical MM samples and 10 human myeloma cell lines (HMCLs). We also confirmed over-expression of JMJD1C by immunohistochemistry (IHC) of a tissue microarray (TMA) consisting of over 60 MM samples. Next we examined the levels of JMJD1C expression and H3K9 methylation by IHC, RT-PCR and western blot to determine the extent to which JMJD1C expression is associated with a decrease in H3K9 methylation (or vice versa). We demonstrated this negative correlation in 6/10 HMCL including OCIMY7 and KMS11 and in over 60% of clinical samples examined on the TMA. Furthermore, we demonstrated that H3K9 methylation, a repressive mark associated with heterochromatin, is low in a large percentage of samples. In addition, we generated double knockout isogenic cell line pairs using zinc finger nuclease technology to evaluate the direct role of JMJD1C on H3K9 methylation, cell function and chromatin and expression level changes using ChIP-seq and RNA-seq analyses. In summary our preliminary results demonstrate that JMJD1C is highly expressed in a significant percentage of MM patients. Our results demonstrate a noticeable inverse relationship of JMJD1C expression to H3K9. This reflects the importance of JMJD1C in modifying the H3K9 repressive mark and suggests that loss of repression due to JMJD1C-mediated histone demethylation disrupts the chromatin machinery and leads to neoplastic processes. Further studies are ongoing to realize JMJD1C as a potential and novel therapeutic target in MM. Disclosures: No relevant conflicts of interest to declare.

Abstract Increasing evidence points towards the importance of epigenetic changes in the pathogenesis of multiple myeloma (MM). The biochemical modifications that govern epigenetics are DNA methylation, and post-translational modifications of histone proteins. Histone methylation is catalyzed by histone methyltransferases (HMT) and histone demethylases (HDMT). The purpose of our study was to interrogate genomics data to identify HMT or HDMT genes that are altered in MM. We mined copy number, gene expression and whole genome sequencing data generated as part of the Multiple Myeloma Research Consortium Genomics Initiative. Collectively, the datasets converged on numerous alterations involving histone methylation of lysine 9 (H3K9). One of these genes, the HDMT JMJD1C, was over-expressed in approximately 15% of MM samples examined. We validated over-expression of JMJD1C expression by RT-PCR in over 50 clinical MM samples and 10 human myeloma cell lines (HMCLs). We also confirmed over-expression of JMJD1C by immunohistochemistry (IHC) in a tissue microarray (TMA) consisting of over 60 MM samples. Next we demonstrated a negative correlation between JMJD1C expression and H3K9 methylation by IHC and western blot in 6/10 HMCL and in over 60% of clinical samples examined on the TMA. This validates the H3K9 demethylase activity of JMJD1C. Furthermore, we demonstrated that, in general, H3K9 methylation, a repressive mark associated with heterochromatin, is low in a large percentage of samples. To study the functional significance, we generated a double knockout isogenic cell line pair in U266 cells using zinc finger nuclease technology. We performed ChIP-seq and RNA-seq analyses to identify genes affected by JMJD1C binding to H3K9. Our data indicate that loss of JMJD1C expression alleviates the repression conferred by H3K9 methylation in MM. Studies are ongoing to realize JMJD1C as a potential and novel therapeutic target in MM. Citation Format: Janine LoBello, Danielle DiPerna, Moly Gale, Aprill Watanabe, Galen Hostetter, Rafael Fonseca, Bodour Salhia. Regulation of H3K9 methylation by the demethyltransferase gene JMJD1C in multiple myeloma. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4243. doi:10.1158/1538-7445.AM2013-4243

Abstract Quiescin sulfhydryl oxidase 1 (QSOX1) oxidizes sulfhydryl groups to form disulfide bonds in proteins. Informatic analysis using the newly available “Gene Expression Based Outcome for Breast Cancer Online” (GOBO) tool indicated high levels of QSOX1 expression in Estrogen Receptor positive (ER+) subtypes of breast cancer. We confirmed this finding by evaluation of QSOX1 protein expression in breast tumors and in a panel of breast cancer cell lines. In addition, Kaplan Meyer analyses revealed QSOX1 as a significant predictive marker for both relapse and poor overall survival in Luminal B tumors, but not in other intrinsic subtypes. To investigate malignant cell mechanisms in which QSOX1 might play a key role, we suppressed QSOX1 protein expression using short hairpin (sh) RNA in ER+ MCF7 and ER− BT549 breast cancer cell lines. Suppression of QSOX1 protein dramatically slowed cell proliferation but did not significantly effect apoptosis or cell cycle regulation. Inhibition of QSOX1 did however dramatically inhibit MCF7 and BT549 breast tumor cells from invading through Matrigel in a modified Boyden chamber assay. Inhibition of invasion could be rescued by the exogenous addition of recombinant QSOX1. Gelatin zymography indicated that QSOX1 plays an important role in activation of MMP-9 a key mediator of breast cancer invasive behavior. Taken together, our results suggest that QSOX1 is a novel biomarker for risk of relapse and poor survival in Luminal B breast cancer, and has a pro-invasive role in malignant progression through post-translational activation of MMP-9. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P1-05-04.

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 Background: The role of fusion genes and associated fusion transcripts has long been recognized in hematopoietic malignancies. Until quite recently it has been difficult to detect such events on a genomic scale in solid tumors. Consequently, little is known about the potential role of fusion genes, transcripts, and proteins as driver mutations, biomarkers, or therapeutic targets in breast cancer. Methods: We have developed a novel analytical pipeline, Snowshoes-FTD, for detection of fusion transcripts in breast cancer cell lines and tumor samples (Asmann, et al. NAR 2011; May 27 ePub ahead of print). Preliminary analyses have been carried out with a panel of 8 each ER+, HER2+, and triple negative (TN) primary breast tumors, 8 primary human mammary epithelial cell (HMEC) lines from biopsy samples, plus 16 normal tissues from the Illumina Body Map dataset. Results: We have identified 120 redundant, tumor-specific fusion transcripts, expressed in two or more tumors and in no non-transformed samples. Sixteen of these represent intrachromosomal fusions and 104 arise from fusion of transcripts that map to two different chromosomes. Every breast tumor expressed one or more fusion transcripts. Twenty-nine fusion transcripts appeared to be tumor subtype specific. Among these, we have identified 2 HER2+, 10 ER+, and 17 triple negative specific redundant transcripts. In general, HER2+ tumors expressed fewer fusion transcripts (range 4 to 28/tumor) compared to TN (range11 to 44/tumor). Chromosomal distribution patterns were also markedly different among the tumor subtypes. For example, ER+ tumors expressed a preponderance of redundant fusion transcripts that involve chr1 and 2, whereas TN tumors had no fusion transcripts that map to either chromosome. Conversely, the predominant locus for TN fusion transcripts was chr19, which contains only one HER2+ fusion and no ER+ fusion transcripts. Conclusions: Primary breast tumors express many chimaeric transcripts, which we presume to arise primarily from genomic rearrangements. The majority of these transcripts are redundant, and a subset are tumor subtype specific. These transcripts may mark regions of chromosomal instability. HER2+ tumors, in general, appear to evidence less chromosomal instability, as inferred from fusion transcripts; although some HER2+ tumors appear to be quite unstable. TN tumors contain many more redundant fusion transcripts, implying increased genomic instability, particularly in chr19. We conclude that these fusion transcripts represent a class of heretofore unrecognized biomarkers that may be used for sub-classification of breast tumors. Some of these transcripts appear to encode proteins that may function as tumor-subtype-specific driver mutations and may have potential as therapeutic targets in breast cancer. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P3-06-02.

Abstract Quiescin-sulfhydryl oxidase (QSOX1) oxidizes sulfhydryl groups to form disulfide bonds in proteins. We previously mapped a peptide in plasma from pancreatic ductal adenocarcinoma patients back to an overexpressed QSOX1 parent protein in tumor cells. It is not known why, or in what capacity, pancreatic tumors overexpress QSOX1. To begin to address this question, we first showed through immunohistochemistry that QSOX1 is overexpressed in patients diagnosed with pancreatic cancer, while it is not expressed in adjacent normal tissue or infiltrating lymphocytes. To determine the potential advantages QSOX1 might provide to tumor cells we knocked down QSOX1 using shRNA that suppressed both short and long isoforms of the protein. Loss of QSOX1 expression suppressed cell growth over time, while changes in cell cycle and apoptotic markers were minimal. However, QSOX1 shRNA dramatically inhibited the abilities of BxPC3 and Panc-1 pancreatic tumor cells to invade through Matrigel in a modified Boyden chamber assay. Mechanistically, gelatin zymography indicated that QSOX1 may play an important role in intracellular processing and extracellular activation of MMP-2 and MMP-9. Taken together, our results suggest that pancreatic tumors that express QSOX1 demonstrate an invasive phenotype through MMP activation. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the Second AACR International Conference on Frontiers in Basic Cancer Research; 2011 Sep 14-18; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2011;71(18 Suppl):Abstract nr B60.

Abstract Many cancer researchers are currently generating heterogeneous genomic data sets containing mRNA expression, array based comparative genomic hybridization (aCGH), and other information from multiple patients. In the near future, data sets will likely include proteomics, methylomics, and high throughput sequencing data. Analytical tools that integrate these different data types to prioritize genes for further study have lagged, however. With this in mind, we have implemented a standalone software application that integrates CGH and mRNA expression profiling data. This application implements several different methods to generate ranked lists of genes and genomic regions based on breakpoint frequency, aberration frequency, and the impact of copy number changes on mRNA expression. The software is Java GUI based, with abstracted object models that can be extended as new genomic data types and annotations become available. We used this application to analyze aCGH datasets generated from 22 primary pancreatic tumor xenografts and mRNA expression datasets from 16 of the 22 samples. Genes which were located near a putative breakpoint and whose expression levels were high in a majority of the xenografts samples were considered putative targets. Preliminary IHC analysis of pancreas primary tumor tissue microarrays confirms one of these putative targets, Chemokine (CXC motif) Ligand 5 (CXCL5). By allowing cancer researchers to correlate genomic aberrations with expression data, we believe that this application will generate more meaningful targets for further biomarker identification and/or drug target discovery. Citation Information: Mol Cancer Ther 2009;8(12 Suppl):A30.

Abstract Fusion genes and fusion gene products are widely employed as biomarkers and therapeutic targets in hematopoietic cancers, but their applications have yet to be appreciated in solid tumors. Here, we report the use of SnowShoes-FTD, a powerful new analytic pipeline that can identify fusion transcripts and assess their redundancy and tumor subtype-specific distribution in primary tumors. In a study of primary breast tumors, SnowShoes-FTD was used to analyze paired-end mRNA-Seq data from a panel of estrogen receptor (ER)+, HER2+, and triple-negative primary breast tumors, identifying tumor-specific fusion transcripts by comparison with mRNA-Seq data from nontransformed human mammary epithelial cell cultures plus the Illumina Body Map data from normal tissues. We found that every primary breast tumor that was analyzed expressed one or more fusion transcripts. Of the 131 tumor-specific fusion transcripts identified, 86 were “private” (restricted to a single tumor) and 45 were “redundant” (distributed among multiple tumors). Among the redundant fusion transcripts, 7 were unique to ER+ tumors and 8 were unique to triple-negative tumors. In contrast, none of the redundant fusion transcripts were unique to HER2+ tumors. Both private and redundant fusion transcripts were widely expressed in primary breast tumors, with many mapping to genomic loci implicated in breast carcinogenesis and/or risk. Our finding that some fusion transcripts are tumor subtype-specific suggests that these entities may be critical determinants in the etiology of breast cancer subtypes, useful as biomarkers for tumor stratification, or exploitable as cancer-specific therapeutic targets. Cancer Res; 72(8); 1921–8. ©2012 AACR.

Abstract Quiescin sulfhydryl oxidase 1 (QSOX1) oxidizes sulfhydryl groups to form disulfide bonds in proteins. We previously mapped a peptide in plasma from pancreatic ductal adenocarcinoma (PDA) patients back to an overexpressed QSOX1 parent protein. In addition to overexpression in pancreatic cancer cell lines, 29 of 37 patients diagnosed with PDA expressed QSOX1 protein in tumor cells, but QSOX1 was not detected in normal adjacent tissues or in a transformed, but nontumorigenic cell line. To begin to evaluate the advantage QSOX1 might provide to tumors, we suppressed QSOX1 protein expression using short hairpin (sh) RNA in two pancreatic cancer cell lines. Growth, cell cycle, apoptosis, invasion, and matrix metalloproteinase (MMP) activity were evaluated. QSOX1 shRNA suppressed both short and long isoforms of the protein, showing a significant effect on cell growth, cell cycle, and apoptosis. However, QSOX1 shRNA dramatically inhibited the abilities of BxPC-3 and Panc-1 pancreatic tumor cells to invade through Matrigel in a modified Boyden chamber assay. Mechanistically, gelatin zymography indicated that QSOX1 plays an important role in activation of MMP-2 and MMP-9. Taken together, our results suggest that the mechanism of QSOX1-mediated tumor cell invasion is by activation of MMP-2 and MMP-9. Mol Cancer Res; 9(12); 1621–31. ©2011 AACR.