High-throughput RNA Interference Screening Research Articles

Comprehensive functional interrogation of susceptibility loci in GWASs identified KIAA0391 as a novel oncogenic driver via regulating pyroptosis in NSCLC

Approximately 51 non-small-cell lung cancer (NSCLC) risk loci have been identified by genome-wide association studies (GWASs). We conducted a high throughput RNA-interference (RNAi) screening to identify the candidate causal genes in NSCLC risk loci. KIAA0391 at 14q13.1 had the highest score and could promote proliferation and metastasis of NSCLC in vitro and in vivo. We next prioritized rs3783313 as a causal variant at 14q13.1, by integrating a large-scale population study consisting of 27,120 lung cancer cases and 27,355 controls, functional annotation, and expression quantitative trait locus (eQTL) analysis. Then we found that rs3783313 could facilitate a promoter-enhancer interaction to upregulate KIAA0391 expression by affecting the affinity of transcription factor NFYA. Mechanistically, KIAA0391 knockdown dramatically influenced pyroptosis-related pathways and increased the expression of CASP1. And KIAA0391 transcriptionally repressed CASP1 by binding to SMAD2 and induced an anti-pyroptosis phenotype, promoting tumorigenesis of NSCLC, which provides new insights and potential target for NSCLC.

Host mRNA deadenylation machinery selectively targets interferon mRNAs, regulating antiviral immunity

Abstract Elucidating host-mediated regulation of viral infection is critical in the development of antivirals and in understanding viral pathogenesis. Here, through high-throughput RNA interference screening, we determine that CNOT2 promotes SARS-CoV-2 infection in human respiratory epithelial cells. CNOT2 is a non-enzymatic subunit of the CCR4-NOT complex, which plays conserved roles in the control of gene expression by deadenylating the poly(A) tails of host mRNAs, thus targeting them for decay. CCR4-NOT can selectively degrade cohorts of mRNAs that are delivered by RNA Binding Proteins. Tristetraprolin (TTP) is among the best characterized of such cargo adapters and is known to recruit mRNAs containing AU-rich elements in their 3′ UTR to CCR4-NOT for deadenylation and decay. We found that in addition to CNOT2, another non-catalytic subunit of CCR4-NOT, CNOT1, in addition to the selectivity factor, TTP, also promote SARS-CoV-2 infection. Global transcriptomics revealed that CNOT2, CNOT1, and TTP specifically regulate interferons (IFNs) and interferon stimulated genes (ISGs) and that depletion of these mRNA decay factors leads to increased levels of IFNs and ISGs. Moreover, the pro-viral activity of CCR4-NOT components and TTP is dependent on IFN signaling: the CCR4-NOT complex has no effect on SARS-CoV-2 infection when IFN signaling is blocked. This led us to discover that CNOT2 promotes the selective deadenylation of IFN mRNAs, and that depletion of CNOT2 leads to increased poly(A) tail lengths of IFN mRNAs. Therefore, we found that the basal levels of IFNs, and thus IFN signaling, are post-transcriptionally regulated by deadenylation machinery, which in turn impacts susceptibility to viral infections including SARS-CoV-2. Supported by grants from NIH (T32-AI-007324)

Essential Role of Adhesion GPCR, GPR123, for Human Pluripotent Stem Cells and Reprogramming towards Pluripotency.

G-protein-coupled receptors (GPCRs) are the largest family of cell surface receptors. They modulate key physiological functions and are required in diverse developmental processes including embryogenesis, but their role in pluripotency maintenance and acquisition during the reprogramming towards hiPSCs draws little attention. Meanwhile, it is known that more than 106 GPCRs are overexpressed in human pluripotent stem cells (hPSCs). Previously, to identify novel effectors of reprogramming, we performed a high-throughput RNA interference (RNAi) screening assay and identified adhesion GPCR, GPR123, as a potential reprogramming effector. Its role has not been explored before. Herein, by employing GPR123 RNAi we addressed the role of GPR123 for hPSCs. The suppression of GPR123 in hPSCs leads to the loss of pluripotency and differentiation, impacted colony morphology, accumulation of cells at the G2 phase of the cell cycle, and absence of the scratch closure. Application of the GPR123 RNAi at the initiation stage of reprogramming leads to a decrease in the percentage of the "true" hiPSC colonies, a drop in E-cadherin expression, a decrease in the percentage of NANOG+ nuclei, and the absence of actin cytoskeleton remodeling. Together this leads to the absence of the alkaline-phosphatase-positive hiPSCs colonies on the 18th day of the reprogramming process. Overall, these data indicate for the first time the essential role of GPR123 in the maintenance and acquisition of pluripotency.

Erythroid lineage-specific lentiviral RNAi vectors suitable for molecular functional studies and therapeutic applications

Numerous genes exert multifaceted roles in hematopoiesis. Therefore, we generated novel lineage-specific RNA interference (RNAi) lentiviral vectors, H23B-Ery-Lin-shRNA and H234B-Ery-Lin-shRNA, to probe the functions of these genes in erythroid cells without affecting other hematopoietic lineages. The lineage specificity of these vectors was confirmed by transducing multiple hematopoietic cells to express a fluorescent protein. Unlike the previously reported erythroid lineage RNAi vector, our vectors were designed for cloning the short hairpin RNAs (shRNAs) for any gene, and they also provide superior knockdown of the target gene expression with a single shRNA integration per cell. High-level lineage-specific downregulation of BCL11A and ZBTB7A, two well-characterized transcriptional repressors of HBG in adult erythroid cells, was achieved with substantial induction of fetal hemoglobin with a single-copy lentiviral vector integration. Transduction of primary healthy donor CD34+ cells with these vectors resulted in >80% reduction in the target protein levels and up to 40% elevation in the γ-chain levels in the differentiated erythroid cells. Xenotransplantation of the human CD34+ cells transduced with H23B-Ery-Lin-shBCL11A LV in immunocompromised mice showed ~ 60% reduction in BCL11A protein expression with ~ 40% elevation of γ-chain levels in the erythroid cells derived from the transduced CD34+ cells. Overall, the novel erythroid lineage-specific lentiviral RNAi vectors described in this study provide a high-level knockdown of target gene expression in the erythroid cells, making them suitable for their use in gene therapy for hemoglobinopathies. Additionally, the design of these vectors also makes them ideal for high-throughput RNAi screening for studying normal and pathological erythropoiesis.

PI3K and MAPK Pathways as Targets for Combination with the Pan-HER Irreversible Inhibitor Neratinib in HER2-Positive Breast Cancer and TNBC by Kinome RNAi Screening.

Human epidermal growth factor receptor (EGFR) 2 (HER2) is overexpressed/amplified in about 25% of all breast cancers, and EGFR is overexpressed in up to 76% and amplified in up to 24% of triple-negative breast cancers (TNBC). Here, we aimed to identify inhibitors that may enhance the anti-tumor activity of neratinib for HER2+ breast cancer and TNBC. By conducting a non-biased high-throughput RNA interference screening, we identified PI3K/AKT/mTOR and MAPK as two potential inhibitory synergistic canonical pathways. We confirmed that everolimus (mTOR inhibitor) and trametinib (MEK inhibitor) enhances combinatorial anti-proliferative effects with neratinib under anchorage-independent growth conditions (p < 0.05). Compared to single agent neratinib, the combination therapies significantly enhanced tumor growth inhibition in both SUM190 HER2+ breast cancer (neratinib plus everolimus, 77%; neratinib plus trametinib, 77%; p < 0.0001) and SUM149 TNBC (neratinib plus everolimus, 71%; neratinib plus trametinib, 81%; p < 0.0001) xenograft models. Compared to single-agent neratinib, everolimus, or trametinib, both everolimus plus neratinib and trametinib plus neratinib significantly suppressed proliferation marker Ki67 and enhanced antitumor efficacy by activating the apoptosis pathway shown by increased Bim and cleaved-PARP expression. Taken together, our data justify new neratinib-based combinations for both HER2+ breast cancer and TNBC.

Abstract PS4-07: Identification of novel molecules that enhance neratinib efficacy in triple-negative breast cancer by high-throughput RNA interference

Abstract Background: Neratinib is a potent, irreversible pan-HER inhibitor that inhibits the ErbB family members EGFR, HER2, and HER4 and downstream signal transduction of these receptors. Triple-negative breast cancer (TNBC) is a heterogeneous disease that lacks druggable levels of receptors for estrogen, progesterone and HER2 and therefore challenging to treat. There is evidence that some cases of TNBC have activated signaling pathways mediated by ErbB family members that may contribute to aggressive behavior. The purpose of this preclinical study was to identify and validate kinases whose targeting may enhance the antitumor activity of neratinib in TNBC cell lines. Methods: In vitro proliferation assays were used to evaluate the efficacy of neratinib in TNBC cell lines. Baseline and post-neratinib-treatment expression of EGFR and phosphorylated EGFR (phospho-EGFR) were assessed via Western blot analysis in 18 TNBC cell lines. Reverse-phase protein array (RPPA) was used to profile and validate the signaling networks induced by neratinib. To identify potential targets or pathways that may synergize with neratinib treatment, we performed high-throughput RNA interference (HT RNAi) screening using a 709-kinome library. CellTiter-Blue, sulforhodamine B, and soft-agar assays were performed to evaluate the antiproliferative effect of neratinib alone and with target inhibitor. Mammary fat pad xenograft models were used to evaluate the efficacy of neratinib alone or with inhibitor in vivo. Results: In vitro proliferation assays showed that the half-maximal inhibitory concentration (IC50) of neratinib in tested TNBC cell lines ranged from 0.16 µM to 1.25 µM. RPPA and Western blot analyses revealed that the efficacy of neratinib correlated with phospho-EGFR expression levels across the TNBC cell lines tested (R2 = 0.3245). Among the tested TNBC cell lines, SUM149 cells (PIK3CA wild-type) were selected for high throughput RNAi screening because this cell line has high EGFR expression and is moderately sensitive to neratinib (IC50 = 0.35 µM). We identified the 40 most relevant kinase targets by the sensitivity index analysis, and further pathway analysis identified PI3K/AKT/mTOR (drug: everolimus) and MAPK (drug: trametinib) as major canonical pathways whose targeting enhanced the cytotoxic effect of neratinib. Everolimus (mTOR inhibitor) produced a strong antiproliferative effect when combined with neratinib in most tested TNBC cell lines (12 of 15 cell lines; combination index [CI] values, 0.1-0.5) and was more effective in PIK3CA-mutated compared to wildtype cell lines. Trametinib (MEK inhibitor) showed a moderate antiproliferative effect (effective in 10 of 15 cell lines; CI values, 0.2-0.9). Synergistic antitumor effects of neratinib combined with everolimus or with trametinib were also observed in anchorage-independent growth conditions (P &amp;lt; 0.05). In vivo experiments demonstrated that neratinib plus everolimus and neratinib plus trametinib combinations inhibited tumor growth in the SUM149 xenograft model for than single drug (neratinib, 42.3% growth inhibition; everolimus, 29.7%; trametinib, 47.1%; neratinib plus everolimus, 69.7%; neratinib plus trametinib, 77.7%; P &amp;lt; 0.0001). Conclusion: Combining neratinib with everolimus or with trametinib enhanced the antitumor effects of these drugs in TNBC regardless of PIK3CA mutation status, and clinical investigations evaluating these combination regimens for the treatment of TNBC are warranted. Citation Format: Jangsoon Lee, Troy Pearson, Huey Liu, Jon A. Fuson, Toshiaki Iwase, Irmina Diala, Alshad S. Lalani, Lisa D. Eli, Debu Tripathy, Bora Lim, Naoto T. Ueno. Identification of novel molecules that enhance neratinib efficacy in triple-negative breast cancer by high-throughput RNA interference [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS4-07.

RNA Interference (RNAi) Screening in Cultured Drosophila Cells.

Genetic perturbation assays have been crucial to the discovery of molecular pathways that drive diverse biological processes. RNA interference (RNAi)-mediated depletion of gene products represents a powerful means of elucidating gene function, as it allows one to systematically probe the phenotypic effects resulting from the functional loss of specific targets. The relative ease of use of RNAi technologies in cultured cells has allowed the design and implementation of genome-wide investigations to systematically reveal gene function. In this chapter, we describe methods for high-throughput RNAi-mediated loss-of-function studies in cultured cells of Drosophila melanogaster. First, we describe the in vitro synthesis of double stranded RNAs (dsRNAs) from a genome-wide Drosophila RNAi library. Next, we outline the procedures used to carry out high-throughput RNAi screens using a cell bathing approach and high-content screening microscopy, illustrating how these experiments can be utilized to study specific cellular contexts, such as cellular stress. Finally, we illustrate some approaches commonly employed to validate the depletion of identified gene candidates.

Modeling human brain tumors in flies, worms, and zebrafish: From proof of principle to novel therapeutic targets

For decades, cell biologists and cancer researchers have taken advantage of non-murine species to increase our understanding of the molecular processes that drive normal cell and tissue development, and when perturbed, cause cancer. The advent of whole-genome sequencing has revealed the high genetic homology of these organisms to humans. Seminal studies in non-murine organisms such as Drosophila melanogaster, Caenorhabditis elegans, and Danio rerio identified many of the signaling pathways involved in cancer. Studies in these organisms offer distinct advantages over mammalian cell or murine systems. Compared to murine models, these three species have shorter lifespans, are less resource intense, and are amenable to high-throughput drug and RNA interference screening to test a myriad of promising drugs against novel targets. In this review, we introduce species-specific breeding strategies, highlight the advantages of modeling brain tumors in each non-mammalian species, and underscore the successes attributed to scientific investigation using these models. We conclude with an optimistic proposal that discoveries in the fields of cancer research, and in particular neuro-oncology, may be expedited using these powerful screening tools and strategies.

Abstract 1796: Requirement for LIM kinases in acute myeloid leukemia

Abstract Acute myeloid leukemia (AML) is a highly aggressive disease which, in spite of extensive research in the last decades, is still treated with conventional chemotherapeutic regimens in most cases. Recent approvals of FLT3 and IDH1/2 inhibitors have highlighted the promise of targeted approaches for personalized AML therapy. However, the majority of AML driver mutations currently remain “undruggable”, making the search for additional molecular targets imperative. LIM kinases 1 and 2 (LIMK1/LIMK2), which are primarily known for regulating actin dynamics via phosphorylation of the actin-depolymerizing factor cofilin, have previously been implicated in progression and metastasis formation of several epithelial tumors. However, their function in leukemia, and AML in particular, has not been addressed in detail. Using high-throughput RNA interference (RNAi) screens in AML cell lines, we identified LIMK1 as a potential novel molecular target for AML treatment. High LIMK1 expression was significantly correlated with shorter survival of AML patients, and was associated with NPM1 and DNMT3A mutations, MLL rearrangements, and elevated HOX gene expression. RNAi- and CRISPR/Cas9-mediated suppression, as well as pharmacologic inhibition of LIMK1 and its close homolog LIMK2, reduced colony formation and decreased proliferation due to slowed cell cycle progression of MLL-rearranged AML cell lines and patient-derived xenograft samples. This was accompanied by morphologic changes indicative of myeloid differentiation. Transcriptome analysis showed upregulation of several tumor suppressors as well as downregulation of HOXA9 targets and mitosis-associated genes in response to LIMK1 suppression, providing a potential mechanistic explanation for the anti-leukemic phenotype. Finally, we observed a mutual regulation between LIMK1 and CDK6, a kinase known to be involved in the differentiation block of MLL-rearranged AML, and addition of the CDK6 inhibitor palbociclib further enhanced the anti-proliferative effect of LIMK1 depletion. Our data therefore suggest that LIM kinases are promising targets for AML therapy. Citation Format: Patrizia Jensen, Michela Carlet, Jana Kress, Andrea Weber, Ines Brunner, Mikolaj Slabicki, Gregor Grill, Simon Weisemann, Ya-Yun Cheng, Irmela Jeremias, Claudia Scholl, Stefan Fröhling. Requirement for LIM kinases in acute myeloid leukemia [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1796.

Requirement for LIM kinases in acute myeloid leukemia.

Acute myeloid leukemia (AML) is an aggressive disease for which only few targeted therapies are available. Using high-throughput RNA interference (RNAi) screening in AML cell lines, we identified LIM kinase 1 (LIMK1) as a potential novel target for AML treatment. High LIMK1 expression was significantly correlated with shorter survival of AML patients and coincided with FLT3 mutations, KMT2A rearrangements, and elevated HOX gene expression. RNAi- and CRISPR-Cas9-mediated suppression as well as pharmacologic inhibition of LIMK1 and its close homolog LIMK2 reduced colony formation and decreased proliferation due to slowed cell-cycle progression of KMT2A-rearranged AML cell lines and patient-derived xenograft (PDX) samples. This was accompanied by morphologic changes indicative of myeloid differentiation. Transcriptome analysis showed upregulation of several tumor suppressor genes as well as downregulation of HOXA9 targets and mitosis-associated genes in response to LIMK1 suppression, providing a potential mechanistic basis for the anti-leukemic phenotype. Finally, we observed a reciprocal regulation between LIM kinases (LIMK) and CDK6, a kinase known to be involved in the differentiation block of KMT2A-rearranged AML, and addition of the CDK6 inhibitor palbociclib further enhanced the anti-proliferative effect of LIMK inhibition. Together, these data suggest that LIMK are promising targets for AML therapy.

Abstract P3-10-16: Identification of molecules that enhance the efficacy of eribulin in TNBC and IBC cell lines

Abstract BACKGROUND: Eribulin mesylate, a non-taxane microtubule-dynamics inhibitor, is an effective chemotherapy drug for patients with metastatic breast cancer who have previously received at least two chemotherapeutic regimens. We are seeking to enhance the anti-tumor activity of eribulin in metastatic breast cancer cell lines. The purpose of this study was to identify kinase targets that markedly enhance the efficacy of eribulin using high-throughput nonbiased synthetic lethal RNA interference (RNAi) screening and to validate these targets in combination with eribulin using triple-negative breast cancer (TNBC) and inflammatory breast cancer (IBC) cell lines which are heterogeneous diseases and characterized by their high metastatic potential and poor prognosis. METHODS: High-throughput RNAi screening (709-human-kinome library) was performed to identify target kinases. The Bliss scoring method was used to identify potential targets from the screening (using a Bliss score cut-off of 0.15), and protein-protein interactome analysis (STRING V.11) and Ingenuity Pathway Analysis (IPA) were used to identify therapeutic target pathways. To validate the in vitro efficacy of selected targets, we performed CellTiter-Blue or sulforhodamine B cell proliferation and anchorage-independent colony-formation assays in 18 TNBC and 6 IBC cell lines treated with eribulin with or without inhibitors of the discovered targets. RESULTS: In vitro proliferation data demonstrated that single-agent eribulin had a nanomolar range of half-maximal inhibitory concentrations (0.2 - 4.0 nM) in most of the tested cell lines. RNAi screening identified 130 relevant kinase targets. IPA and STRING analysis revealed PI3K/AKT/mTOR, MAPK, JNK, and PAK1 as major canonical pathways that could be targeted to enhance the cytotoxic effect of eribulin. In in vitro cell line validation, PAK1 inhibitor NVS-PAK1-1 and mTOR inhibitor everolimus showed strong combinational anti-tumor effect (combination index values = 0.1 - 0.9), and JNK inhibitor JNK-In-8 showed moderate combinational anti-tumor effect (combination index values = 0.5 - 0.9) in combination with eribulin. Inhibitors of PI3K (copanlisib) and MEK (trametinib) showed combinational anti-tumor effect in some cell lines. CONCLUSION: We identified that PAK1, mTOR, and JNK inhibitors enhanced the anti-proliferation effects of eribulin in TNBC and IBC cell lines. Our data inform new treatment strategies with eribulin for TNBC and IBC that could lead to clinical trials of innovative combination therapy based on eribulin. Citation Format: Jangsoon Lee, Jon A Fuson, Huey Liu, Troy Pearson, Debu Tripathy, Bora Lim, Naoto T Ueno. Identification of molecules that enhance the efficacy of eribulin in TNBC and IBC cell lines [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-10-16.

High-Throughput RNA Interference Screen Targeting Synthetic-Lethal Gain-of-Function of Oncogenic Mutant TP53 in Triple-Negative Breast Cancer.

TNBC is an aggressive and metastatic subtype of breast cancer in which TP53 mutation occurs frequently and is associated with particularly poor outcome. Mutations in TP53 can disrupt the intrinsic function of the tumor suppressor as well as acquire oncogenic gain-of-function (GOF) activities. However, little is known about its oncogenic GOF mediators and functions. Targeted therapy for TNBC patients is thus one of the most urgent needs in breast cancer therapeutics, and identifying genes that have synthetic lethal interactions with mutant TP53 may be a promising approach. In this chapter, we present procedures on sequential analysis of RNA-seq followed by high-throughput RNA interference screening (HTS-RNAi screening). This approach has been utilized to identify genes with synthetic lethality of mutant TP53, providing a promising strategy for the treatment of mutant TP53 in TNBC and determining its impact on tumorigenesis.

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy.

High-throughput genome-wide RNAi (RNA interference) screening technology has been widely used for discovering host factors that impactvirus replication. Here we present the application of this technology to uncovering host targets that specifically modulate the replication of Maraba virus, an oncolytic rhabdovirus, and vaccinia virus with the goal of enhancing therapy. While the protocol has been tested for use with oncolytic Maraba virus and oncolytic vaccinia virus, this approach is applicable to other oncolytic viruses and can also be utilized for identifying host targets that modulate virus replication in mammalian cells in general. This protocol describes the development and validation of an assay for high-throughput RNAi screening in mammalian cells, the key considerations and preparation steps important for conducting a primary high-throughput RNAi screen, and a step-by-step guide for conducting a primary high-throughput RNAi screen; in addition, it broadly outlines the methods for conducting secondary screen validation and tertiary validation studies. The benefit of high-throughput RNAi screening is that it allows one to catalogue, in an extensive and unbiased fashion, host factors that modulate any aspect of virus replication for which one can develop an in vitro assay such as infectivity, burst size, and cytotoxicity. It has the power to uncover biotherapeutic targets unforeseen based on current knowledge.

The Ancient Genetic Networks of Obesity: Whole-Animal Automated Screening for Conserved Fat Regulators.

Caenorhabditis elegans is the first and only metazoan model that enables whole-body gene knockdown by simply feeding their standard laboratory diet, E. coli, carrying RNA interference (RNAi)-expressing constructs. The simplicity of the RNAi treatment, small size, and fast reproduction rate of C. elegans allow us to perform whole-animal high-throughput genetic screens in wild-type, mutant, or otherwise genetically modified C. elegans. In addition, more than 65% of C. elegans genes are conserved in mammals including human. In particular, C. elegans metabolic pathways are highly conserved, which supports the study of complex diseases such as obesity in this genetically tractable model system. In this chapter, we present a detailed protocol for automated high-throughput whole-animal RNAi screening to identify the pathways promoting obesity in diet-induced and genetically driven obese C. elegans. We describe an optimized high-content screening protocol to score fat mass and body fat distribution in whole animals at large scale. We provide optimized pipelines to automatically score phenotypes using the open-source CellProfiler platform within the context of supercomputer clusters. Further, we present a guideline to optimize information workflow from the automated microscope to a searchable database. The approaches described here enable unveiling the whole network of gene-gene and gene-environment interactions that define metabolic health or disease status in this proven model of human disease, but similar principles can be applied to other disease models.

Abstract 1238: Targeting the platelet derived growth factor receptor (PDGFR) with the receptor tyrosine kinase inhibitor ponatinib in small cell carcinoma of the ovary, hypercalcemic type

Abstract Subunits of the SWI/SNF chromatin-remodeling complex are tumor suppressors that are inactivated in ~20% of all cancers, yet few targeted treatments have shown selective activity in SWI/SNF-mutant cancers. Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is a rare, aggressive ovarian cancer in young women that is universally driven by SWI/SNF dysregulation. Given that two-year survival following standard high-dose chemotherapy and radiation in SCCOHT is less than 35%, a great need exists for effective targeted therapies to improve outcomes for these women. We previously demonstrated that SCCOHT tumors are driven by inactivating mutations in SMARCA4, one of two mutually exclusive SWI/SNF ATPases. In addition, we have shown that SCCOHT lacks expression of the alternative SWI/SNF ATPase, SMARCA2. We have now found through integrated genomic and functional analyses in SCCOHT tumors and cell lines that SMARCA4 loss correlates with increased expression of receptor tyrosine kinases (RTKs) including the platelet derived growth factor receptors (PDGFRs). Through integration of high-throughput RNA interference and drug screens in SCCOHT cells we have identified sensitivity to RTK knockdown and RTK inhibitors including the FDA-approved oncology drug, ponatinib. These data corroborate prior studies showing RTK dependence in rhabdoid tumors, rare cancers that are also driven by mutations in the SWI/SNF complex. Of the known ponatinib targets, PDGFR-alpha and FGFR1 were highly expressed in SCCOHT tumors, as confirmed in RNA-Seq data (four tumors) and a SCCOHT tissue microarray (TMA; ten tumors). Furthermore, PDGFR-alpha and -beta phosphorylation and downstream signaling are inhibited by ponatinib in SCCOHT cells, suggesting that these tumors are sensitive to ponatinib due to dependence on signaling through these RTKs. Finally, given ponatinib’s potency in vitro and the proposed mechanism of action, we tested this agent in xenograft models of SCCOHT. In addition to confirming efficacy in a SCCOHT cell line xenograft model, superior efficacy was demonstrated in two patient-derived xenograft (PDX) models of SCCOHT with ponatinib. Thus, ponatinib effectively targets SWI/SNF-mutant SCCOHT tumors through inhibition of PDGFR signaling and may have clinical utility for the treatment of these cancers. Citation Format: Jessica Diane Lang, William Hendricks, Pilar Ramos, Holly Yin, Chris Sereduk, Jeffrey Kiefer, Yemin Wang, Anthony N. Karnezis, Bernard Weissman, David Huntsman, Jeffrey Trent. Targeting the platelet derived growth factor receptor (PDGFR) with the receptor tyrosine kinase inhibitor ponatinib in small cell carcinoma of the ovary, hypercalcemic type [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1238. doi:10.1158/1538-7445.AM2017-1238

Abstract NTOC-090: TARGETING AND EFFICACY OF THE RECEPTOR TYROSINE KINASE INHIBITOR PONATINIB IN SMALL CELL CARCINOMA OF THE OVARY, HYPERCALCEMIC TYPE, WORKS THROUGH INHIBITION OF PLATELET DERIVED GROWTH FACTOR RECEPTOR (PDGFR)

Abstract The work that will be presented strongly suggests the identification of a unique vulnerability of Small Cell Carcinoma of the Ovary-Hypercalcemic Type (SCCOHT) to PDGFR inhibition. SCCOHT is an aggressive subtype of ovarian cancer afflicting young women and children with fewer than 35% of patients surviving two years after diagnosis. Currently, these patients must endure high dose chemotherapy because no effective targeted therapies have been identified. We previously demonstrated that these tumors are driven by inactivating mutations in SMARCA4, one of two ATPases in the SWI/SNF chromatin-remodeling complex. In addition, we have also shown that SCCOHT lacks expression of the alternative SWI/SNF ATPase, SMARCA2. SWI/SNF is a key tumor suppressor complex in diverse cancers and its members are mutationally inactivated in up to 50% of other ovarian cancer subtypes. However, no therapeutic approaches selective for SWI/SNF-dysregulation in cancers are routinely used. We have now found through multiomic (DNA/RNA), pathway analysis, immunohistochemistry and functional studies in SCCOHT tumors and cell lines that SMARCA4 loss correlates with increased expression of receptor tyrosine kinases (RTKs) including the platelet derived growth factor receptors (PDGRs). Through integration of high-throughput RNA interference and drug screens in SCCOHT cell lines we have also identified sensitivity to RTK knockdown and inhibitors such as ponatinib. These data corroborate prior studies showing RTK dependence in rhabdoid tumors, rare cancers that are also driven by mutations in the SWI/SNF complex. As ponatinib is approved for cancer treatment and showed great potency, we tested this agent in two patient-derived xenograft (PDX) models of SCCOHT. Ponatinib significantly reduced tumor growth in both models. Of the known ponatinib targets, PDGFR and FGFR1 were highly expressed in SCCOHT tumors, suggesting that SCCOHTs are sensitive to ponatinib through the expression of these RTKs. Further, PDGFR-alpha phosphorylation and downstream signaling are strongly inhibited by ponatinib in SCCOHT. In summary we believe this finding may allow a way to be exploited therapeutically through the FDA-approved inhibitor ponatinib. Citation Format: Jessica D. Lang, William Hendricks, Pilar Ramos, Holly Yin, Chris Sereduk, Jeffrey Kiefer, Yemin Wang, Anthony N. Karnezis, Bernard Weissman, David Huntsman, Jeffrey Trent. TARGETING AND EFFICACY OF THE RECEPTOR TYROSINE KINASE INHIBITOR PONATINIB IN SMALL CELL CARCINOMA OF THE OVARY, HYPERCALCEMIC TYPE, WORKS THROUGH INHIBITION OF PLATELET DERIVED GROWTH FACTOR RECEPTOR (PDGFR) [abstract]. In: Proceedings of the 11th Biennial Ovarian Cancer Research Symposium; Sep 12-13, 2016; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(11 Suppl):Abstract nr NTOC-090.

High-throughput screening by RNA interference and its application in breast cancer research

RNA interference (RNAi) is a gene silencing process induced by double-stranded RNA molecules’ binding to message RNA, at both transcriptional level and post-transcriptional level. Recently, high-throughput screening (HTS) with large-scale RNAi has been applied to the field of cancer research, including investigation of cancer development and progression. Especially, HTS with RNAi library was used to identify deregulated signaling pathway, to discover novel drug targets, and to optimize combination therapy and dosing schedule. Furthermore, synthetic lethality strategy is also combined with RNAi HTS to identify new drug targets. The development of breast cancer involves multiple factors, and is associated with multiple genetic alterations, and is a multi-step carcinogenesis process. The RNAi HTS might help to understand this complex process and underlying mechanism that collectively attribute to cancer cell invasion and metastasis. This article reviews the advancement of RNAi HTS assays, and focuses on its applications in both basic and translational research in breast cancer. A promising breakthrough is expected with RNAi HTS technology in the future. Key words: Breast cancers; RNA interference; High-throughput screening; Therapy

The lncRNA VELUCT strongly regulates viability of lung cancer cells despite its extremely low abundance.

Little is known about the function of most non-coding RNAs (ncRNAs). The majority of long ncRNAs (lncRNAs) is expressed at very low levels and it is a matter of intense debate whether these can be of functional relevance. Here, we identified lncRNAs regulating the viability of lung cancer cells in a high-throughput RNA interference screen. Based on our previous expression profiling, we designed an siRNA library targeting 638 lncRNAs upregulated in human cancer. In a functional siRNA screen analyzing the viability of lung cancer cells, the most prominent hit was a novel lncRNA which we called Viability Enhancing LUng Cancer Transcript (VELUCT). In silico analyses confirmed the non-coding properties of the transcript. Surprisingly, VELUCT was below the detection limit in total RNA from NCI-H460 cells by RT-qPCR as well as RNA-Seq, but was robustly detected in the chromatin-associated RNA fraction. It is an extremely low abundant lncRNA with an RNA copy number of less than one copy per cell. Blocking transcription with actinomycin D revealed that VELUCT RNA was highly unstable which may partially explain its low steady-state concentration. Despite its extremely low abundance, loss-of-function of VELUCT with three independent experimental approaches in three different lung cancer cell lines led to a significant reduction of cell viability: Next to four individual siRNAs, also two complex siPOOLs as well as two antisense oligonucleotides confirmed the strong and specific phenotype. In summary, the extremely low abundant lncRNA VELUCT is essential for regulation of cell viability in several lung cancer cell lines. Hence, VELUCT is the first example for a lncRNA that is expressed at a very low level, but has a strong loss-of-function phenotype. Thus, our study proves that at least individual low-abundant lncRNAs can play an important functional role.

A targeted RNAi screen identifies factors affecting diverse stages of receptor-mediated transcytosis.

Endosome transport by transcytosis is the primary mechanism by which proteins and other large cargo traverse epithelial barriers in normal tissue. Transcytosis is also essential for establishing and maintaining membrane polarity in epithelia and other polarized cells. To identify novel components of this pathway, we conducted a high-throughput RNA interference screen for factors necessary for the bidirectional transcytosis of IgG by the Fcγ receptor FcRn. This screen identified 23 genes whose suppression resulted in a reproducible decrease in FcRn-mediated transcytosis. Pulse-chase kinetic transport assays on four of the top-ranking genes (EXOC2, EXOC7, PARD6B, and LEPROT) revealed distinct effects on the apical and basolateral recycling and transcytotic pathways, demonstrating that these pathways are genetically separable. We also found a strong dependence on PARD6B for apical, but not basolateral, recycling, implicating this cell polarity gene in assembly or maintenance of the apical endosomal system. This dataset yields insights into how vesicular transport is adapted to the specialized functions of differentiated cell types and opens new research avenues into epithelial trafficking.

VhfRNAi: a web-platform for analysis of host genes involved in viral infections discovered by genome wide RNAi screens.

Knockdown of host genes using high-throughput genome-wide RNA interference screens has identified numerous host factors that affect viral infections, which would be helpful in understanding host-virus interactions. We have developed a vhfRNAi web resource based on genome-wide RNAi experiments for viruses. It contains experimental details of 12 249 entries (host factors + restriction factors) for 18 viruses. Simultaneously, this resource encompasses analysis of overlapping genes, genome wide association studies, gene ontology (GO), pathogen interacting proteins, interaction networks and pathway enrichment. Using overlap analysis, it was found that Influenza A virus shared overlapping host genes with the majority of viruses including Hepatitis C virus and Dengue virus 2. In the genome wide association studies analysis, 429 diseases/traits were mapped, of which obesity-related traits were the most common. GO analysis revealed that the major categories belonged to metabolic processes, molecule transport, signal transduction, proteolysis, etc. In the pathogen interacting protein analysis, protein interaction data from different resources can be explored for further understanding of host-virus biology. By pathway enrichment analysis, a total of 8955 genes were mapped on 303 pathways with most of the hits coming from metabolic pathways. We have found 491 genes that are not essential for the host but essential for the virus and can be targeted to inhibit the virus. These may be explored as potential candidates for drug targets. The resource is freely accessible at and will be useful in understanding host-virus biology as well as identification of targets for the development of antiviral therapeutics.