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Supplementary Tables 1-3, Figures 1-4 from High-throughput RNAi Screening Identifies a Role for TNK1 in Growth and Survival of Pancreatic Cancer Cells

XLSX file - 23K, Mapping statistics for genome sequencing of tumor and germline DNA from mTNBC

XLSX file - 45K, Genes containing breakpoint from translocation in mTNBC

XLSX file - 273K, Somatic genic focal copy number changes in mTNBC

XLSX file - 598K, edgeR differential expression results in mTNBC for select cancer related genes

XLSX file - 607K, Outlier differential expression results in mTNBC for select cancer related genes

XLSX file - 61K, List of somatic point mutations in mTNBC detected by NGS sequencing analysis

XLSX file - 42K, Ingenuity Canonical Pathways results for mTNBC based on edgeR differential expression results

XLSX file - 40K, Characteristics of mTNBC study population

PDF file - 1635K, PET/CT images of mTNBC2 breast lesion before and after treatment on combination MEK and AKT inhibitors

XLSX file - 48K, Transcriptome sequencing (RNA-seq) run statistics for mTNBC

PDF file - 135K, Validation of RB1 39bp homozygous deletion in mTNBC1

Supplementary Table 5 from Intersex-like (IXL) Is a Cell Survival Regulator in Pancreatic Cancer with 19q13 Amplification

Supplementary Table 2 from Intersex-like (IXL) Is a Cell Survival Regulator in Pancreatic Cancer with 19q13 Amplification

Supplementary Table 1 from Intersex-like (IXL) Is a Cell Survival Regulator in Pancreatic Cancer with 19q13 Amplification

Supplementary Table 3 from Intersex-like (IXL) Is a Cell Survival Regulator in Pancreatic Cancer with 19q13 Amplification

PDF file - 1.3MB, Druggable Genome v2 siRNA primary screen results

Supplementary Table 4 from Intersex-like (IXL) Is a Cell Survival Regulator in Pancreatic Cancer with 19q13 Amplification

Pancreatic cancer is a highly aggressive disease characterized by poor prognosis and vast genetic instability. Recent microarray-based, genome-wide surveys have identified multiple recurrent copy number aberrations in pancreatic cancer; however, the target genes are, for the most part, unknown. Here, we characterized the 19q13 amplicon in pancreatic cancer to identify putative new drug targets. Copy number increases at 19q13 were quantitated in 16 pancreatic cancer cell lines and 31 primary tumors by fluorescence in situ hybridization. Cell line copy number data delineated a 1.1 Mb amplicon, the presence of which was also validated in 10% of primary pancreatic tumors. Comprehensive expression analysis by quantitative real-time reverse transcription-PCR indicated that seven transcripts within this region had consistently elevated expression levels in the amplified versus nonamplified cell lines. High-throughput loss-of-function screen by RNA interference was applied across the amplicon to identify genes whose down-regulation affected cell viability. This screen revealed five genes whose down-regulation led to significantly decreased cell viability in the amplified PANC-1 cells but not in the nonamplified MiaPaca-2 cells, suggesting the presence of multiple biologically interesting genes in this region. Of these, the transcriptional regulator intersex-like (IXL) was consistently overexpressed in amplified cells and had the most dramatic effect on cell viability. IXL silencing also resulted in G0-G1 cell cycle arrest and increased apoptosis in PANC-1 cells. These findings implicate IXL as a novel amplification target gene in pancreatic cancer and suggest that IXL is required for cancer cell survival in 19q13-amplified tumors. [Cancer Res 2007;67(5):1943–9]

T-cells in the tumor microenvironment can often become exhausted and dysfunctional due to chronic and prolonged exposure to antigen. The resulting condition of T cell exhaustion represents an important mechanism of clinical resistance to immune checkpoint blockade. The transcription factor NR4A1 is known to be upregulated in tumor-specific T-cells and is a mediator of T cell dysfunction including driving exhaustion during chronic antigen stimulation of T-cells. Pro-oncogenic activities of NR4A1 have been observed in various solid tumors, including colorectal and breast cancers, and co-expression of NR4A1 with known immune checkpoint markers such as PD-L1 and B7 family members has also been observed in various cancer cell lines. These findings have identified NR4A1 as an important target for overcoming resistance to cancer immunotherapy. We hypothesize that targeted silencing of the NR4A1 and other immunomodulatory genes can reverse T-cell exhaustion and expand the clinical benefit of immune checkpoint blockade in solid tumors resistant to immune therapy. To reverse T-cell exhaustion with a targeted approach, we developed T cell targeting SeekRsTM, which are chimeric RNA therapeutics containing dual-flanking aptamer binders connected by a double-stranded bridge containing siRNA silencers that can target multiple immunomodulatory genes. First-generation aptamer-siRNA chimeras designed with a CTLA-4 targeting aptamer containing a STAT3 siRNA demonstrated effectiveness in silencing its target. Modifications to the structure included the addition of chemically modified nucleotides to improve serum stability. Additionally, dimerization of the structure to form a SeekR dimer molecule greatly improved internalization and target silencing compared to the monomeric chimera. Newly developed SeekRs targeting T cells and designed to silence NR4A1 have effectively downregulated NR4A1 in model cell lines and activated T cells. These results demonstrate that dual targeting SeekRs can be used to specifically deliver siRNA to T cells for targeted silencing that can reverse exhaustion and potentially overcome resistance to cancer immunotherapy in the clinic. Citation Format: Marvin O'Ketch, Jeffrey A. Kiefer, Dnyanesh Rasale, Warren S. Weiner, Lizette A. Castaño, Nathalie A. Azorsa, David W. Lee, Kerry M. Barnhart, Spyro Mousses, David O. Azorsa. Activity of novel RNA therapeutics to overcome resistance to immune checkpoint blockade. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4417.

Metastatic estrogen receptor α (ERα)-positive breast cancer is presently incurable. Seeking to target these drug-resistant cancers, we report the discovery of a compound, called ErSO, that activates the anticipatory unfolded protein response (a-UPR) and induces rapid and selective necrosis of ERα-positive breast cancer cell lines in vitro. We then tested ErSO in vivo in several preclinical orthotopic and metastasis mouse models carrying different xenografts of human breast cancer lines or patient-derived breast tumors. In multiple orthotopic models, ErSO treatment given either orally or intraperitoneally for 14 to 21 days induced tumor regression without recurrence. In a cell line tail vein metastasis model, ErSO was also effective at inducing regression of most lung, bone, and liver metastases. ErSO treatment induced almost complete regression of brain metastases in mice carrying intracranial human breast cancer cell line xenografts. Tumors that did not undergo complete regression and regrew remained sensitive to retreatment with ErSO. ErSO was well tolerated in mice, rats, and dogs at doses above those needed for therapeutic responses and had little or no effect on normal ERα-expressing murine tissues. ErSO mediated its anticancer effects through activation of the a-UPR, suggesting that activation of a tumor protective pathway could induce tumor regression.

Aim: To help characterize the FDFT1 gene and protein expression in cancer. Cholesterol represents an important structural component of lipid rafts. These specializations can be involved in pathways stimulating cell growth, survival and other processes active in cancer. This cellular compartment can be expanded by acquisition of cholesterol from the circulation or by its synthesis in a metabolic pathway regulated by the FDFT1 enzyme. Given the critical role this might play in carcinogenesis and in the behavior of cancers, we have examined the level of this enzyme in various types of human cancer. Our demonstration of elevated levels of FDFT1 mRNA and protein in some tumors relative to surrounding normal tissue identifies this as a possible biomarker for disease development and progression, and as a potential new target for the treatment of cancer.

SeekR™ chimeric molecules consist of dual flanking RNA aptamers designed to bind specific proteins (BINDERS), joined by a double stranded RNA bridge that encodes multiple siRNAs designed to silence select disease target genes (SILENCERS). Aptamers are folded nucleic acid chains that act much like chemical antibodies in that they can bind proteins in a sequence-specific manner. By identifying RNA aptamers capable of seeking and binding to specific cell surface protein receptors, SeekR™ RNA therapeutics can be engineered to self-deliver to a particular receptor defined tissue type. For example, a SeekR™ can be directed to prostate tumors that selectively express PSMA. The combination of two RNA aptamer binders with two siRNA silencers thus enables the selective delivery of the siRNAs to tumor cells expressing the binder target, wherein it directs sequence-specific silencing of cancer target genes. To identify and prioritize the right combination of SeekR targets, we have taken advantage of single-cell sequencing (scRNA-seq) data sets. By analyzing scRNA-seq data, we can identify specific cell populations within tumors to co-target with an aptamer and siRNA. We leveraged several publicly available colon and non-small cell lung cancer scRNA data sets for this analysis. A custom analysis pipeline was applied to these data to identify specific cell types within tumor samples. We then profiled specific cancer targets and determined percentages of target co-expression within a single tumor compared to normal cells. This provides information for cell-type-specific targeting to reduce potential toxicity within non-tumor tissue. In addition to targeting aptamers, we performed ligand-receptor analyses to prioritize specific siRNA targets in particular cell types within the tumor environment. This analysis revealed novel combinations of binders and silencers that will more precisely deliver the right multi-targeted gene silencing to the correct cell types. In summary, scRNA-seq data provide a rich resource of data to direct SeekR™ development and optimization. Citation Format: Susan Massey, Richard Hsiao, Shweta Yadav, David Azorsa, Spyro Mousses, Jeffrey A. Kiefer. Leveraging single-cell RNA sequencing data to design multi-targeting SeekRRNA therapeutics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4081.

Ubiquitination is a metabolic process in eukaryotic cells that modifies proteins with ubiquitin leading to protein degradation via the ubiquitin-proteosome pathway. Cellular levels of ubiquitin are driven by the expression of RPS27A, UBA52, UBB and UBC. In cancer, the dysregulation of ubiquitination can affect various aspects of tumor progression including cell cycle regulation and gene expression. Ubiquitin B (UBB) gene has been shown to be over-expressed in some tumor types, including NSCLC and cervical cancer, and under-expressed in other tumors, in particularly a subset of ovarian cancers. A role for ubiquitin C (UBC) in cancer has not been well established but UBC has been described as a biomarker in renal cancer and CLL. In recent studies, repression of UBB in ovarian cancer cells was associated with sensitivity to UBC knockdown and demonstrated a synthetic lethal relationship. Since both UBB and UBC show substantial sequence homology, we explored the possibility of developing dual targeting siRNA that would silence both UBB and UBC. We identified unique individual siRNA sequences that efficiently silenced both UBB and UBC and led to rapid cytotoxicity in several cancer cell lines including the colon cancer cell line HCT-116, the breast cancer cell line SK-BR3, and the prostate cancer cell line 22Rv1. Treatment with either UBB-specific or UBC-specific siRNA did not show the same lethal phenotype. Dose response assays using the dual targeting siRNA designated U21 indicated EC50 for cytotoxicity between 50–500 pM in several cancer lines. Treatment of cancer cell lines with U21 leads to rapid apoptosis and cell death. Chemical modifications to pharmacologically stabilize the U21 siRNA sequence did not change its activity. The efficient cytotoxic activity of the U21 siRNA sequence has been integrated into our SeekR™ platform to create aptamer-siRNA chimeras for targeted delivery of the lethal U21 payload to specific cancer cell types. Citation Format: David O. Azorsa, David W. Lee, Marvin O'Ketch, Nathalie A. Azorsa, Ioanna Papacharalampous, Lizette A. Castaño, Jeffrey A. Kiefer, Spyro Mousses. Development of novel anticancer RNA therapeutics with dual-targeting siRNA that silences ubiquitin family members [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4096.

T-cell exhaustion describes the dysfunctional state of effector T cells in the tumor microenvironment that results from chronic and prolonged exposure to antigen. It also represents an important mechanism of clinical resistance to immune checkpoint blockade. Recently, the transcription factor NR4A1 has been shown to be upregulated in tumor-specific T cells and plays a role in driving exhaustion during chronic antigen stimulation of T cells. Pro-oncogenic activities of NR4A1 have long been observed in various solid tumors including colorectal and breast cancers, and co-expression of NR4A1 with known immune checkpoint markers such as PD-L1 have also been observed in various cancer cell lines. These findings have identified NR4A1 as an important target for overcoming resistance to cancer immunotherapy. We hypothesize that multi-targeting to simultaneously block PD-1 signaling and silence NR4A1 gene expression can reverse T-cell exhaustion and expand the clinical benefit of PD-1 blockade in immune therapy resistant solid tumors. Using our SeekR™ RNA therapeutics platform, we combined aptamer binders to PD-1 with siRNA against NR4A1, andNR4A1 and evaluated their ability to reverse T-cell exhaustion and re-activate T-cell based anticancer immunity in solid tumors. Specifically, we created SeekR™ therapeutic RNA molecules with dual flanking RNA aptamers binders to PD-1 and other checkpoint inhibitors, connected by a double stranded bridge that encodes for siRNA silencers that target multiple immunomodulatory genes, such as NR4A1. The novel anti-PD-1 RNA aptamer component serve to: A) direct and deliver the SeekR™ RNA oligo therapeutics to exhausted T-cells that express PD-1 receptors; and B) internalize the siRNA component into the T-cells. The siRNA components of the SeekR™ serve to silence NR4A1 which lead to reversal of the cytotoxic T-cell exhausted phenotype following chronic in-vitro stimulation. These results demonstrate that dual targeting of PD-1 and NR4A1 has the potential to reverse T-cell exhaustion and the potential to overcome cancer immunotherapy resistance in the clinic. Citation Format: Marvin O'ketch, Victoria A. Love, Jeffrey A. Kiefer, David W. Lee, Lizette A. Castaño, Spyro Mousses, David O. Azorsa. Development of multi-targeting immunomodulatory SeekR RNA therapeutics to overcome resistance to PD-1 blockade [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4239.

STUDY DESIGN Case-control whole-genome sequencing analysis of a highly select, young cohort with symptomatic lumbar disk herniation (LDH) compared with the standard variation in a large reference population. OBJECTIVE To assess genetic influences predisposing pediatric and young adult patients to symptomatic LDH. SUMMARY OF BACKGROUND DATA LDH has traditionally been attributed to natural weakening or mechanical insult, but recent literature supports a potential genetic influence. METHODS Young patients with symptomatic, clinically confirmed LDH who underwent surgical treatment were included. Patients were younger than the average age of presentation, limiting the influence of environmental risks. DNA collected from these patients was compared with a reference genome (1000 Genomes Project). A genome-wide association study using whole-genome sequencing was used to characterize genetic mutations potentially associated with LDH. RESULTS Among the 61 candidate genes flagged, 20 had missense mutations in 2 or more LDH cases. Missense mutations in collagen-encoding genes were observed in 12 of 15 patients (80%). A potential association with clinical presentation was indicated by odds ratios of key single-nucleotide polymorphism (SNP) variants in genes that encode collagen. Relative to the reference population, the LDH cohort demonstrated two statistically significant SNP variants in the gene encoding for aggrecan, a protein that facilitates load-bearing properties in the cartilaginous end plate. Aggrecan genes SNPs rs3817428 and rs11638262 were significantly associated with decreased odds of symptomatic LDH: odds ratio 0.05 (0.02-0.11) and 0.04 (0-0.26), respectively (P

2598 Background: Synthetic lethal targets are proteins that are contextually vulnerable. Inhibitors of PARP1, for example, selectively produce a lethal phenotype in the context of cancer cells which have lost BRCA1 or BRCA2 function. As a high mutation rate is a hallmark of many cancers, targeting synthetic lethal interactions to selectively inhibit cancer cells with altered genetic backgrounds may increase the specificity and efficacy of therapeutics. Recently, clinical trials have targeted synthetic lethal pairs such as EGFR and BRAF, TP53 and BCL2, and PTEN and CHD1. Previous attempts to identify synthetic lethal targets have relied on empirical results from published studies of biological pathways perturbed in cancer cells. Developing strategies to rapidly identify synthetic lethals by combining multiple experimental and computational approaches would result in a new class of potential cancer drug targets beyond the existing efforts that rely on single experimental or computational methods alone. Methods: Here we present Expansive AI, an artificial intelligence augmented knowledge network that enables rapid hypothesis generation for accelerated discovery research. Using a purpose-built, hypergraph database of massive, integrated genomic and biomedical data, we can query all synthetic lethals and their component genes, as well as a wealth of data related to these genes. The database of biological data includes 11,000+ cancer genomes from TCGA, prior knowledge resources such as gene ontology and pathway resources, and experimental data including chemical and protein interaction and patent data. The hypergraph’s architecture allows for linking and nesting data, enabling efficient extraction of biologically-relevant features. Results: Using these features, a neural network classified 540 new candidate pairs that have previously not been reported. The candidate pairs were filtered to include only known oncogenes and least-studied genes. This produced a list of gene pairs which may represent the most novel class of synthetic lethal target candidates identified to date. Conclusions: We highlight the results of this AI-based approach and discuss validation efforts of the predicted interactions in specific cancer contexts.

Aurora kinases are a family of mitotic kinases that play important roles in the tumorigenesis of a variety of cancers including pancreatic cancer. A number of Aurora kinase inhibitors (AKIs) are currently being tested in preclinical and clinical settings as anti-cancer therapies. However, the antitumor activity of AKIs in clinical trials has been modest. In order to improve the antitumor activity of AKIs in pancreatic cancer, we utilized a kinome focused RNAi screen to identify genes that, when silenced, would sensitize pancreatic cancer cells to AKI treatment. A total of 17 kinase genes were identified and confirmed as positive hits. One of the hits was the platelet-derived growth factor receptor, alpha polypeptide (PDGFRA), which has been shown to be overexpressed in pancreatic cancer cells and tumor tissues. Imatinib, a PDGFR inhibitor, significantly enhanced the anti-proliferative effect of ZM447439, an Aurora B specific inhibitor, and PHA-739358, a pan-Aurora kinase inhibitor. Further studies showed that imatinib augmented the induction of G2/M cell cycle arrest and apoptosis by PHA-739358. These findings indicate that PDGFRA is a potential mediator of AKI sensitivity in pancreatic cancer cells.

Tumor-suppressor genes (TSGs) have been classically defined as genes whose loss of function in tumor cells contributes to the formation and/or maintenance of the tumor phenotype. TSGs containing nonsense mutations may not be expressed because of nonsense-mediated RNA decay (NMD). We combined inhibition of the NMD process, which clears transcripts that contain nonsense mutations, with the application of high-density single-nucleotide polymorphism arrays analysis to discriminate allelic content in order to identify candidate TSGs in five breast cancer cell lines. We identified ARID1A as a target of NMD in the T47D breast cancer cell line, likely as a consequence of a mutation in exon-9, which introduces a premature stop codon at position Q944. ARID1A encodes a human homolog of yeast SWI1, which is an integral member of the hSWI/SNF complex, an ATP-dependent, chromatin-remodeling, multiple-subunit enzyme. Although we did not find any somatic mutations in 11 breast tumors, which show DNA copy-number loss at the 1p36 locus adjacent to ARID1A, we show that low ARID1A RNA or nuclear protein expression is associated with more aggressive breast cancer phenotypes, such as high tumor grade, in two independent cohorts of over 200 human breast cancer cases each. We also found that low ARID1A nuclear expression becomes more prevalent during the later stages of breast tumor progression. Finally, we found that ARID1A re-expression in the T47D cell line results in significant inhibition of colony formation in soft agar. These results suggest that ARID1A may be a candidate TSG in breast cancer.

To identify novel targets in pancreatic cancer cells, we used high-throughput RNAi (HT-RNAi) to select genes that, when silenced, would decrease viability of pancreatic cancer cells. The HT-RNAi screen involved reverse transfecting the pancreatic cancer cell line BxPC3 with a siRNA library targeting 572 kinases. From replicate screens, approximately 32 kinases were designated as hits, of which 22 kinase targets were selected for confirmation and validation. One kinase identified as a hit from this screen was tyrosine kinase nonreceptor 1 (TNK1), a kinase previously identified as having tumor suppressor-like properties in embryonic stem cells. Silencing of TNK1 with siRNA showed reduced proliferation in a panel of pancreatic cancer cell lines. Furthermore, we showed that silencing of TNK1 led to increased apoptosis through a caspase-dependent pathway and that targeting TNK1 with siRNA can synergize with gemcitabine treatment. Despite previous reports that TNK1 affects Ras and NF-κB signaling, we did not find similar correlations with these pathways in pancreatic cancer cells. Our results suggest that TNK1 in pancreatic cancer cells does not possess the same tumor suppressor properties seen in embryonic cells but seems to be involved in growth and survival. The application of functional genomics by using HT-RNAi screens has allowed us to identify TNK1 as a growth-associated kinase in pancreatic cancer cells. Mol Cancer Res; 9(6); 724–32. ©2011 AACR.

Androgen withdrawal is the standard treatment for advanced prostate cancer. Although this therapy is initially effective, nearly all prostate cancers become refractory to it. Approximately 15% of these castration-resistant prostate cancers harbour a genomic amplification at 10q22. The aim of this study was to explore the structure of the 10q22 amplicon and to determine the major driving genes. Application of high-resolution array-CGH using the 244k Agilent microarrays to cell lines with 10q22 amplification allowed us to narrow down the common amplified region to a region of 5.8 megabases. We silenced each of the genes of this region by an RNAi screen in the prostate cancer cell lines PC-3 and 22Rv1. We selected genes with a significant growth reduction in the 10q22 amplified cell line PC-3, but not in the non-amplified 22Rv1 cells, as putative target genes of this amplicon. Immunohistochemical analysis of the protein expression of these candidate genes on a tissue microarray enriched for 10q22 amplified prostate cancers revealed vinculin as the most promising target of this amplicon. We found a strong association between vinculin gene amplification and overexpression (p < 0.001). Further analysis of 443 specimens from across all stages of prostate cancer progression showed that vinculin expression was highest in castration-resistant prostate cancers, but negative or very low in benign prostatic hyperplasia (p < 0.0001). Additionally, high tumour cell proliferation measured by Ki67 expression was significantly associated with high vinculin expression in prostate cancer (p < 0.0001). Our data suggest that vinculin is a major driving gene of the 10q22 amplification in prostate cancer and that vinculin overexpression might contribute to prostate cancer progression by enhancing tumour cell proliferation.

Protein kinase C betaII (PKCβII) represents a novel potential target for anticancer therapies in breast cancer. In order to identify patient subgroups which might benefit from PKC-targeting therapies, we investigated the expression of PKCβII in human breast cancer cell lines and in a tissue microarray (TMA). We first screened breast cancer cell line representatives of breast cancer subtypes for PKCβII expression at the mRNA and at the protein levels. We analyzed a TMA comprising of tumors from 438 patients with a median followup of 15.4 years for PKCβII expression by immunohistochemistry along with other prognostic factors in breast cancer. Among a panel of human breast cancer cell lines, only MDA-MB-436, a triple negative basal cell line, showed overexpression for PKCβII both at the mRNA and at the protein levels. In breast cancer patients, cytoplasmic expression of PKCβII correlated positively with human epidermal growth factor receptor-2 (HER-2; P = 0.01) and Ki-67 (P = 0.016), while nuclear PKCβII correlated positively with estrogen receptor (ER; P = 0.016). The positive correlation of CK5/6 with cytoplasmic PKCβII (P = 0.033) lost statistical significance after adjusting for multiple comparisons (P = 0.198). Cytoplasmic PKCβII did not correlate with cyclooxygenase (COX-2; P = 0.925) and vascular endothelial growth factor (P = 1). There was no significant association between PKCβII staining and overall survival. Cytoplasmic PKCβII correlates with HER-2 and Ki-67, while nuclear PKCβII correlates with ER in breast cancer. Our study suggests the necessity for assessing the subcellular localization of PKCβII in breast cancer subtypes when evaluating the possible effectiveness of PKCβII-targeting agents.

The use of workflow models to integrate intelligently complex experimental and analytical processes is becoming more and more critical to support scientific discovery. Storing and providing querying capabilities to retrieve, import, re-use, adapt, and reason about workflows are becoming necessary components to workflow architectures supporting collaborative and translational research. We report on the evaluation of ProtocolDB a database that supports workflow design and storage conducted at the Translational Genomics Research Institute (TGen).

S100P protein regulates calcium signal transduction and mediates cytoskeletal interaction, protein phosphorylation and transcriptional control. We have previously shown how elevated S100P levels in prostate cancer strongly correlate with progression to metastatic disease. In our study, we evaluated the functional significance of S100P expression on prostate tumor growth in vitro and in vivo. S100P levels were modulated by overexpressing S100P in PC3 prostate cancer cells and by silencing S100P levels in 22Rv1 prostate cancer cells. Overexpression of S100P in PC3 cells promoted cell growth, increased the percentage of S-phase cells, decreased basal apoptosis rate and promoted anchorage independent growth in soft agar. Furthermore, prostate cancer cells overexpressing S100P were protected against camptothecin-induced apoptosis. Conversely, silencing of S100P in 22Rv1 cells using siRNA resulted in a prominent cytostatic effect. The influence of S100P on tumor growth and metastases were assessed in vivo. S100P-overexpressing PC3 cells had a dramatically increased tumor formation compared to controls. Microarray analysis showed the involvement of growth pathways including increased androgen receptor expression in S100P-overexpressing cells. These results provide the first functional proof that S100P overexpression can upregulate androgen receptor expression and thereby promote prostate cancer progression by increasing cell growth. Moreover, the results confirm the oncogenic nature of S100P in prostate cancer and suggest that the protein may directly confer resistance to chemotherapy. Hence, S100P could be considered a potential drug target or a chemosensitization target, and could also serve as a biomarker for aggressive, hormone-refractory and metastatic prostate cancer. © 2008 Wiley-Liss, Inc.

Chemotherapy is a major treatment modality for individuals affected by cancer. Currently, a number of genomebased technologies are being adopted to identify genes associated with drug response; however, large-scale genetic association applications are still limited. Here we describe a novel strategy based on the genetic and drug response data of the NCI60 cell lines to discover potential candidate genetic variants associated with variable response to chemotherapy. As an example we have applied this strategy to discover single genetic markers and haplotypes from candidate genes previously implicated in the pharmacobiology of gemcitabine. Single-marker association analyses have implicated the association of four SNPs within the gene loci of CDC5L, EPC2, POLS, and PARP1. We have also investigated the combined effect of SNPs using haplotype-based analysis. Accordingly, we have shown modest association of haplotypes in six genes, whereas the most significant associations included a haplotype of the POLS gene. The hypothesis-generating tool presented in this study can be applied to drugs profiled in the NCI60 cell line screen and provides an effective means for the identification of genes associated with drug response. The results obtained using this novel methodology can be used to better design the clinical trials for effective study of the chemotherapeutic agents and thus provide a basis for individualized chemotherapy. Hum Mutat 29(4), 461–467, 2008. r 2008 Wiley-Liss, Inc.

Pancreatic cancer is a highly aggressive disease characterized by poor prognosis and vast genetic instability. Recent microarray-based, genome-wide surveys have identified multiple recurrent copy number aberrations in pancreatic cancer; however, the target genes are, for the most part, unknown. Here, we characterized the 19q13 amplicon in pancreatic cancer to identify putative new drug targets. Copy number increases at 19q13 were quantitated in 16 pancreatic cancer cell lines and 31 primary tumors by fluorescence in situ hybridization. Cell line copy number data delineated a 1.1 Mb amplicon, the presence of which was also validated in 10% of primary pancreatic tumors. Comprehensive expression analysis by quantitative real-time reverse transcription-PCR indicated that seven transcripts within this region had consistently elevated expression levels in the amplified versus nonamplified cell lines. High-throughput loss-of-function screen by RNA interference was applied across the amplicon to identify genes whose down-regulation affected cell viability. This screen revealed five genes whose down-regulation led to significantly decreased cell viability in the amplified PANC-1 cells but not in the nonamplified MiaPaca-2 cells, suggesting the presence of multiple biologically interesting genes in this region. Of these, the transcriptional regulator intersex-like (IXL) was consistently overexpressed in amplified cells and had the most dramatic effect on cell viability. IXL silencing also resulted in G0-G1 cell cycle arrest and increased apoptosis in PANC-1 cells. These findings implicate IXL as a novel amplification target gene in pancreatic cancer and suggest that IXL is required for cancer cell survival in 19q13-amplified tumors. [Cancer Res 2007;67(5):1943–9]

Two types of genetic mutations, gain-of-function in oncogenes and loss-of-function in tumor-suppressor genes, are important molecular bases of tumorigenesis of human cancers. Target-based drug discovery is the main stream of contemporary cancer therapeutic development but largely focuses on gain-of-function mutations in oncogenes. Loss-of-function mutations in tumor-suppressor genes are often neglected as therapeutic targets. In this review, we discuss the feasibility of targeting loss-of-function mutations in tumor-suppressor genes for the identification of cancer-specific therapeutic agents.

Background: The EphB2 gene was recently implicated as a prostate cancer (PC) tumour suppressor gene, with somatic inactivating mutations occurring in ∼10% of sporadic tumours. We evaluated the contribution of EphB2 to inherited PC susceptibility in African Americans (AA) by screening the gene for germline polymorphisms. Methods: Direct sequencing of the coding region of EphB2 was performed on 72 probands from the African American Hereditary Prostate Cancer Study (AAHPC). A case-control association analysis was then carried out using the AAHPC probands and an additional 183 cases of sporadic PC compared with 329 healthy AA male controls. In addition, we performed an ancestry adjusted association study where we adjusted for individual ancestry among all subjects, in order to rule out a spurious association due to population stratification. Results: Ten coding sequence variants were identified, including the K1019X (3055A→T) nonsense mutation which was present in 15.3% of the AAHPC probands but only 1.7% of 231 European American (EA) control samples. We observed that the 3055A→T mutation significantly increased risk for prostate cancer over twofold (Fisher’s two sided test, p = 0.003). The T allele was significantly more common among AAHPC probands (15.3%) than among healthy AA male controls (5.2%) (odds ratio 3.31; 95% confidence interval 1.5 to 7.4; p = 0.008). The ancestry adjusted analyses confirmed the association. Conclusions: Our data show that the K1019X mutation in the EphB2 gene differs in frequency between AA and EA, is associated with increased risk for PC in AA men with a positive family history, and may be an important genetic risk factor for prostate cancer in AA.

The combination of RNAi-mediated knockdown of gene expression and high content screening (HCS) allows the determination of the contribution of single genes to a variety of cellular effects varying between growth and survival to subtle alterations in cellular morphology and phenotype. This review examines the current status of research in combining these tools.

Gene mutations play a critical role in cancer development and progression, and their identification offers possibilities for accurate diagnostics and therapeutic targeting. Finding genes undergoing mutations is challenging and slow, even in the post-genomic era. A new approach was recently developed by Noensie and Dietz to prioritize and focus the search, making use of nonsense-mediated mRNA decay (NMD) inhibition and microarray analysis (NMD microarrays) in the identification of transcripts containing nonsense mutations. We combined NMD microarrays with array-based CGH (comparative genomic hybridization) in order to identify inactivation of tumor suppressor genes in cancer. Such a “mutatomics” screening of prostate cancer cell lines led to the identification of inactivating mutations in the EPHB2 gene. Up to 8% of metastatic uncultured prostate cancers also showed mutations of this gene whose loss of function may confer loss of tissue architecture. NMD microarray analysis could turn out to be a powerful research method to identify novel mutated genes in cancer cell lines, providing targets that could then be further investigated for their clinical relevance and therapeutic potential.

Transient gene silencing in mammalian cells can be mediated by double stranded RNA (dsRNAs) molecules of approximately 20-25 nucleotides termed short interfering (siRNAs). Naturally occurring siRNAs in lower eukaryotes have characteristic structural elements; however, little is known about what features are critical for an exogenous siRNA to mediate RNAi in mammals. We have recently determined some of the critical parameters that influence the efficiency of siRNA-mediated RNAi in mammalian cells and have been considering the use of RNAi as a functional genomics tool, particularly for high throughput analysis, and the potential use of RNAi as a therapeutic tool.

The most effective targeted cancer therapies have arisen from research into genetically altered oncogenes, including BCR-ABL, HER2, RAS and EGFR. Recent advances in cancer genetics have identified many regions of the genome that undergo amplification (increase in copy number) but, in most cases, the key oncogenic targets driving the growth and survival of cancer cells remain unknown. In this review, we discuss high-throughput technologies for the discovery of putative oncogenes, and clinical and functional validation of these genes as targets for therapy. New technologies in translational genomics facilitate the identification, validation and prioritization of candidate molecular targets for anti-cancer therapy.