GLUT1 inhibition blocks growth of RB1-positive triple negative breast cancer

Triple negative breast cancer (TNBC) is a deadly form of breast cancer due to the development of resistance to chemotherapy affecting over 30% of patients. New therapeutics and companion biomarkers are urgently needed. Recognizing the elevated expression of glucose transporter 1 (GLUT1, encoded by SLC2A1) and associated metabolic dependencies in TNBC, we investigated the vulnerability of TNBC cell lines and patient-derived samples to GLUT1 inhibition. We report that genetic or pharmacological inhibition of GLUT1 with BAY-876 impairs the growth of a subset of TNBC cells displaying high glycolytic and lower oxidative phosphorylation (OXPHOS) rates. Pathway enrichment analysis of gene expression data suggests that the functionality of the E2F pathway may reflect to some extent OXPHOS activity. Furthermore, the protein levels of retinoblastoma tumor suppressor (RB1) strongly correlate with the degree of sensitivity to GLUT1 inhibition in TNBC, where RB1-negative cells are insensitive to GLUT1 inhibition. Collectively, our results highlight a strong and targetable RB1-GLUT1 metabolic axis in TNBC and warrant clinical evaluation of GLUT1 inhibition in TNBC patients stratified according to RB1 protein expression levels.

Abstract 3438: Hypoxia inhibits BMP4-induced astrocytic differentiation in glioma stem cells

The tumor microenvironment is an important contributor to malignancy in glioblastoma (GBM) by influencing stemness properties in glioma stem cells (GSCs) and their capacity for differentiation into various cell types. Tumor hypoxia is a common feature of the GBM microenvironment and can influence cell state through a variety of processes including the inhibition of oxygen-dependent lysine histone demethylases (KDMs) and subsequent epigenetic changes required for differentiation or maintenance of the stem cell state. However, the precise mechanisms underlying hypoxic restriction of differentiation to specific neural lineages is unclear. Here, we show that hypoxia suppresses astrocytic differentiation induced by bone morphogenetic protein 4 (BMP4) in patient-derived GSCs. In 8/10 patient derived GSC lines, BMP4 induced expression of astrocytic markers, such as glial fibrillary acidic protein, and this induction was repressed by hypoxia in 7/10 lines. Interestingly, significant anti-proliferative effects of BMP4 induced differentiation were only observed in 3/10 lines and was rescued in only one GSC line by hypoxia, suggesting that these processes are uncoupled. Although hypoxia may directly limit the activity of oxygen-dependent KDMs important in this process, levels of S-2-hydroxyglutarate (S-2HG), an endogenous KDM inhibitor, were also increased in 5/8 GSC lines under hypoxia. Exogenous treatment with S-2HG or a small molecule KDM6 family inhibitor, phenocopied the repressive effects of hypoxia on BMP4 induced differentiation. In patient tumors, hypoxic areas surrounding pseudopalisading necrosis showed high expression of hypoxia markers, and these hypoxia markers were anti-correlated with markers of astrocytic differentiation. Together, these results demonstrate that the hypoxic tumor microenvironment in GBM, through multiple mechanisms limiting oxygen-dependent KDM activity, promote maintenance of the malignant stemness state by inhibiting astrocytic differentiation. This study implicates tumour hypoxia as a key regulator of stemness and a therapeutic target to promote differentiation in GBM. Treatment strategies that target hypoxic cells are urgently needed to overcome these challenges.

Citation Format: Ronald S. Wu, Elisabeth Liedtke, Sheila Mansouri, Samantha Brazier, Paul Guilhamon, Nicole I. Park, Eric Chen, Mathieu Lupien, Daniel D. De Carvalho, Peter G. Dirks, Gelareh Zadeh, Bradley G. Wouters. Hypoxia inhibits BMP4-induced astrocytic differentiation in glioma stem cells [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 3438.

Abstract 5724: Revelation of shared transcriptional gradients in glioblastoma tumors and cultured glioma stem cells

The brain tumor Glioblastoma (GBM) is a virtual death sentence for anyone who is diagnosed, with a median survival time of 12-15 months with standard treatments1 and a 5 year survival rate of under 10% 2. There is a strong body of evidence supporting the existence of stem like cells, termed glioma stem cells (GSCs), that can repopulate the tumor after removal and therapy application3-6. Thus, GSCs present a tantalizing target for potential therapies against GBM. However, studies of GSCs have shown heterogeneity at the level of the transcriptome and drug response5,7, suggesting that there is significant biological variation that translates into differential sensitivity to various drugs. A full characterization of biological heterogeneity may aid in the search for targeted therapies.

Here, we profile the transcriptomes of 72 patient derived GSC cultures, and obtain scRNA-seq on 29 cultures from 26 patients (> 69,000 cells) plus 5 GBM tumors (> 14,000 cells). With this data, we find two anticorrelated transcriptional programs in the GSC cultures, one associated with immune or injury response related pathways and the other with neural developmental pathways. We then compare the GSC cultures to patient tumors in the scRNA-seq data, and find that a portion of GBM tumor cells are similar to GSC cultures. We find that a gradient between GSC and astrocyte programs separates cells with stemness properties from those that are not stem-like, and that within stem-like tumor cells and non stem-like tumor cells a gradient between the neural developmental and immune related programs exists as was seen for the cultured GSCs. In GSCs, we also find epigenetic variation in DNA methylation associated with the developmental and immune related programs. Overall these data suggest variation between two biological programs manifests at the level of gene expression and epigenetic regulation in GSCs in tumors.

1. Stupp, R. et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N. Engl. J. Med. 352, 987-996 (2005).

2. Brennan, C. W. et al. The somatic genomic landscape of glioblastoma. Cell 155, 462-477 (2013).

3. Singh, S. K. et al. Identification of human brain tumour initiating cells. Nature 432, 396-401 (2004).

4. Chen, J. et al. A restricted cell population propagates glioblastoma growth after chemotherapy. Nature 488, 522-526 (2012).

5. Lan, X. et al. Fate mapping of human glioblastoma reveals an invariant stem cell hierarchy. Nature 549, 227-232 (2017).

6. Patel, A. P. et al. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma. Science 344, 1396-1401 (2014).

7. Meyer, M. et al. Single cell-derived clonal analysis of human glioblastoma links functional and genomic heterogeneity. Proc. Natl. Acad. Sci. U. S. A. 112, 851-856 (2015).

Citation Format: Owen K. Whitley, Laura M. Richards, Florence Cavalli, Paul Guilhamon, Fiona Coutinho, Michelle Kushida, H. Artee Luchman, Samuel Weiss, Mathieu Lupien, Peter Dirks, Trevor Pugh, Gary Bader. Revelation of shared transcriptional gradients in glioblastoma tumors and cultured glioma stem cells [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 5724.

Metabolic Regulation of the Epigenome Drives Lethal Infantile Ependymoma

Posterior fossa A (PFA) ependymomas are lethal malignancies of the hindbrain in infants and toddlers. Lacking highly recurrent somatic mutations, PFA ependymomas are proposed to be epigenetically driven tumors for which model systems are lacking. Here we demonstrate that PFA ependymomas are maintained under hypoxia, associated with restricted availability of specific metabolites to diminish histone methylation, and increase histone demethylation and acetylation at histone 3 lysine 27 (H3K27). PFA ependymomas initiate from a cell lineage in the first trimester of human development that resides in restricted oxygen. Unlike other ependymomas, transient exposure of PFA cells to ambient oxygen induces irreversible cellular toxicity. PFA tumors exhibit a low basal level of H3K27me3, and, paradoxically, inhibition of H3K27 methylation specifically disrupts PFA tumor growth. Targeting metabolism and/or the epigenome presents a unique opportunity for rational therapy for infants with PFA ependymoma.

Disrupting Mitochondrial Copper Distribution Inhibits Leukemic Stem Cell Self-Renewal

Leukemic stem cells (LSCs) rely on oxidative metabolism and are differentially sensitive to targeting mitochondrial pathways, which spares normal hematopoietic cells. A subset of mitochondrial proteins is folded in the intermembrane space via the mitochondrial intermembrane assembly (MIA) pathway. We found increased mRNA expression of MIA pathway substrates in acute myeloid leukemia (AML) stem cells. Therefore, we evaluated the effects of inhibiting this pathway in AML. Genetic and chemical inhibition of ALR reduces AML growth and viability, disrupts LSC self-renewal, and induces their differentiation. ALR inhibition preferentially decreases its substrate COX17, a mitochondrial copper chaperone, and knockdown of COX17 phenocopies ALR loss. Inhibiting ALR and COX17 increases mitochondrial copper levels which in turn inhibit S-adenosylhomocysteine hydrolase (SAHH) and lower levels of S-adenosylmethionine (SAM), DNA methylation, and chromatin accessibility to lower LSC viability. These results provide insight into mechanisms through which mitochondrial copper controls epigenetic status and viability of LSCs.

Telomere dysfunction cooperates with epigenetic alterations to impair murine embryonic stem cell fate commitment

The precise relationship between epigenetic alterations and telomere dysfunction is still an extant question. Previously, we showed that eroded telomeres lead to differentiation instability in murine embryonic stem cells (mESCs) via DNA hypomethylation at pluripotency-factor promoters. Here, we uncovered that telomerase reverse transcriptase null (Tert^-/-) mESCs exhibit genome-wide alterations in chromatin accessibility and gene expression during differentiation. These changes were accompanied by an increase of H3K27me3 globally, an altered chromatin landscape at the Pou5f1/Oct4 promoter, and a refractory response to differentiation cues. Inhibition of the Polycomb Repressive Complex 2 (PRC2), an H3K27 tri-methyltransferase, exacerbated the impairment in differentiation and pluripotency gene repression in Tert^-/-mESCs but not wild-type mESCs, whereas inhibition of H3K27me3 demethylation led to a partial rescue of the Tert^-/- phenotype. These data reveal a new interdependent relationship between H3K27me3 and telomere integrity in stem cell lineage commitment that may have implications in aging and cancer.

Author Correction: Human somatic cell mutagenesis creates genetically tractable sarcomas

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Noncoding mutations target cis-regulatory elements of the FOXA1 plexus in prostate cancer

Prostate cancer is the second most commonly diagnosed malignancy among men worldwide. Recurrently mutated in primary and metastatic prostate tumors, FOXA1 encodes a pioneer transcription factor involved in disease onset and progression through both androgen receptor-dependent and androgen receptor-independent mechanisms. Despite its oncogenic properties however, the regulation of FOXA1 expression remains unknown. Here, we identify a set of six cis-regulatory elements in the FOXA1 regulatory plexus harboring somatic single-nucleotide variants in primary prostate tumors. We find that deletion and repression of these cis-regulatory elements significantly decreases FOXA1 expression and prostate cancer cell growth. Six of the ten single-nucleotide variants mapping to FOXA1 regulatory plexus significantly alter the transactivation potential of cis-regulatory elements by modulating the binding of transcription factors. Collectively, our results identify cis-regulatory elements within the FOXA1 plexus mutated in primary prostate tumors as potential targets for therapeutic intervention.

FOXA1 pioneer transcription factor is recurrently mutated in primary and metastatic prostate tumors. Here, authors identify a set of six cis-regulatory elements in the FOXA1 regulatory plexus harboring somatic SNVs in primary prostate tumors and characterize their role in regulating FOXA1 expression and prostate cancer cell growth.

Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks

A comprehensive catalog of cancer driver mutations is essential for understanding tumorigenesis and developing therapies. Exome-sequencing studies have mapped many protein-coding drivers, yet few non-coding drivers are known because genome-wide discovery is challenging. We developed a driver discovery method, ActiveDriverWGS, and analyzed 120,788 cis-regulatory modules (CRMs) across 1,844 whole tumor genomes from the ICGC-TCGA PCAWG project. We found 30 CRMs with enriched SNVs and indels (FDR < 0.05). These frequently mutated regulatory elements (FMREs) were ubiquitously active in human tissues, showed long-range chromatin interactions and mRNA abundance associations with target genes, and were enriched in motif-rewiring mutations and structural variants. Genomic deletion of one FMRE in human cells caused proliferative deficiencies and transcriptional deregulation of cancer genes CCNB1IP1, CDH1, and CDKN2B, validating observations in FMRE-mutated tumors. Pathway analysis revealed further sub-significant FMREs at cancer genes and processes, indicating an unexplored landscape of infrequent driver mutations in the non-coding genome.

Abstract B46: Targeting pancreatic cancer organoids with dual BET and CBP/P300 inhibitor NEO2734

Pancreatic ductal adenocarcinoma (PDA) has a dismal prognosis due to largely ineffective therapeutics available for this disease. Recently, inhibitors of bromodomain and extraterminal domain (BET) inhibitors have been shown to have therapeutic efficacy against various malignancies, including PDA. Here we present data on sensitivity of PDA patient-derived organoids (PDO) to a novel dual BET and CBP/P300 inhibitor, NEO2734 (Epigene Therapeutics Inc.). Our cell viability screen on a panel of 30 PDOs derived from PDA patient and xenograft tumor tissue revealed differential drug sensitivities to NEO2734 inhibitor. Antitumor effect of NEO2734 on the most sensitive PPTO.2 model was further confirmed in vivo using patient-derived xenograft PPTO.2 model. To identify potential biomarkers associated with differential sensitivities of PDA PDOs to NEO2734 inhibitor, we generated gene expression profiles from 13 PDOs derived from primary patient tumors. Using the probabilistic concordance index (C-index), 13 genes (Bonferroni corrected P&lt;1.0E-10) were identified as potential therapeutic targets. Among the biomarkers identified, we found three associations with known BET inhibitor target genes, including CA9 (C-index= 0.38, PBonferroni= 2.7E-19), which is known to be downregulated by BET inhibitor and coexpressed with the target gene BRDT. Furthermore, the biomarker SLC7A2 (0.28, 3.4E-37) has a known genetic interaction with BRD4, and ABCB6 (0.31, 1.5E-27) is predicted to be coexpressed with CREBBP. Overall, this work reveals that dual BET and CBP/P300 inhibitor, NEO2734, could be a novel therapeutic option for a subset of PDA patients.

Citation Format: Nikolina Radulovich, Laura Tamblyn, Heewon Seo, Benjamin Haibe-Kains, Mathieu Lupien, Francis Gilles, Ming S. Tsao. Targeting pancreatic cancer organoids with dual BET and CBP/P300 inhibitor NEO2734 [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer: Advances in Science and Clinical Care; 2019 Sept 6-9; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2019;79(24 Suppl):Abstract nr B46.

Cistrome Partitioning Reveals Convergence of Somatic Mutations and Risk Variants on Master Transcription Regulators in Primary Prostate Tumors

Thousands of noncoding somatic single-nucleotide variants (SNVs) of unknown function are reported in tumors. Partitioning the genome according to cistromes reveals the enrichment of somatic SNVs in prostate tumors as opposed to adjacent normal tissue cistromes of master transcription regulators, including AR, FOXA1, and HOXB13. This parallels enrichment of prostate cancer genetic predispositions over these transcription regulators' tumor cistromes, exemplified at the 8q24 locus harboring both risk variants and somatic SNVs in cis-regulatory elements upregulating MYC expression. However, Massively Parallel Reporter Assays reveal that few SNVs can alter the transactivation potential of individual cis-regulatory elements. Instead, similar to inherited risk variants, SNVs accumulate in cistromes of master transcription regulators required for prostate cancer development.

Functional Enhancers Shape Extrachromosomal Oncogene Amplifications

Non-coding regions amplified beyond oncogene borders have largely been ignored. Using a computational approach, we find signatures of significant co-amplification of non-coding DNA beyond the boundaries of amplified oncogenes across five cancer types. In glioblastoma, EGFR is preferentially co-amplified with its two endogenous enhancer elements active in the cell type of origin. These regulatory elements, their contacts, and their contribution to cell fitness are preserved on high-level circular extrachromosomal DNA amplifications. Interrogating the locus with a CRISPR interference screening approach reveals a diversity of additional elements that impact cell fitness. The pattern of fitness dependencies mirrors the rearrangement of regulatory elements and accompanying rewiring of the chromatin topology on the extrachromosomal amplicon. Our studies indicate that oncogene amplifications are shaped by regulatory dependencies in the non-coding genome.

Identifying clusters of cis-regulatory elements underpinning TAD structures and lineage-specific regulatory networks

Cellular identity relies on cell-type-specific gene expression controlled at the transcriptional level by cis-regulatory elements (CREs). CREs are unevenly distributed across the genome, giving rise to individual CREs and clusters of CREs (COREs). Technical and biological features hinder CORE identification. We addressed these issues by developing an unsupervised machine learning approach termed clustering of genomic regions analysis method (CREAM). CREAM automates CORE detection from chromatin accessibility profiles that are enriched in CREs strongly bound by master transcription regulators, proximal to highly expressed and essential genes, and discriminating cell identity. Although COREs share similarities with super-enhancers, we highlight differences in terms of the genomic distribution and structure of these cis-regulatory units. We further show the enhanced value of COREs over super-enhancers to identify master transcription regulators, highly expressed and essential genes defining cell identity. COREs enrich at topologically associated domain (TAD) boundaries. They are also preferentially bound by the chromatin looping factors CTCF and cohesin, in contrast to super-enhancers, forming clusters of CTCF and cohesin binding regions and defining homotypic clusters of transcription regulator binding regions (HCTs). Finally, we show the clinical utility of CREAM to identify COREs across chromatin accessibility profiles to stratify more than 400 tumor samples according to their cancer type and to delineate cancer type-specific active biological pathways. Collectively, our results support the utility of CREAM to delineate COREs underlying, with greater accuracy than individual CREs or super-enhancers, the cell-type-specific biological underpinning across a wide range of normal and cancer cell types.

Genome-wide germline correlates of the epigenetic landscape of prostate cancer

Oncogenesis is driven by germline, environmental and stochastic factors. It is unknown how these interact to produce the molecular phenotypes of tumors. We therefore quantified the influence of germline polymorphisms on the somatic epigenome of 589 localized prostate tumors. Predisposition risk loci influence a tumor's epigenome, uncovering a mechanism for cancer susceptibility. We identified and validated 1,178 loci associated with altered methylation in tumoral but not nonmalignant tissue. These tumor methylation quantitative trait loci influence chromatin structure, as well as RNA and protein abundance. One prominent tumor methylation quantitative trait locus is associated with AKT1 expression and is predictive of relapse after definitive local therapy in both discovery and validation cohorts. These data reveal intricate crosstalk between the germ line and the epigenome of primary tumors, which may help identify germline biomarkers of aggressive disease to aid patient triage and optimize the use of more invasive or expensive diagnostic assays.

High-resolution structural genomics reveals new therapeutic vulnerabilities in glioblastoma

We investigated the role of 3D genome architecture in instructing functional properties of glioblastoma stem cells (GSCs) by generating sub-5-kb resolution 3D genome maps by in situ Hi-C. Contact maps at sub-5-kb resolution allow identification of individual DNA loops, domain organization, and large-scale genome compartmentalization. We observed differences in looping architectures among GSCs from different patients, suggesting that 3D genome architecture is a further layer of inter-patient heterogeneity for glioblastoma. Integration of DNA contact maps with chromatin and transcriptional profiles identified specific mechanisms of gene regulation, including the convergence of multiple super enhancers to individual stemness genes within individual cells. We show that the number of loops contacting a gene correlates with elevated transcription. These results indicate that stemness genes are hubs of interaction between multiple regulatory regions, likely to ensure their sustained expression. Regions of open chromatin common among the GSCs tested were poised for expression of immune-related genes, including CD276. We demonstrate that this gene is co-expressed with stemness genes in GSCs and that CD276 can be targeted with an antibody-drug conjugate to eliminate self-renewing cells. Our results demonstrate that integrated structural genomics data sets can be employed to rationally identify therapeutic vulnerabilities in self-renewing cells.

Pervasive H3K27 Acetylation Leads to ERV Expression and a Therapeutic Vulnerability in H3K27M Gliomas

High-grade gliomas defined by histone 3 K27M driver mutations exhibit global loss of H3K27 trimethylation and reciprocal gain of H3K27 acetylation, respectively shaping repressive and active chromatin landscapes. We generated tumor-derived isogenic models bearing this mutation and show that it leads to pervasive H3K27ac deposition across the genome. In turn, active enhancers and promoters are not created de novo and instead reflect the epigenomic landscape of the cell of origin. H3K27ac is enriched at repeat elements, resulting in their increased expression, which in turn can be further amplified by DNA demethylation and histone deacetylase inhibitors providing an exquisite therapeutic vulnerability. These agents may therefore modulate anti-tumor immune responses as a therapeutic modality for this untreatable disease.

Targeting bivalency de-represses Indian Hedgehog and inhibits self-renewal of colorectal cancer-initiating cells

In embryonic stem cells, promoters of key lineage-specific differentiation genes are found in a bivalent state, having both activating H3K4me3 and repressive H3K27me3 histone marks, making them poised for transcription upon loss of H3K27me3. Whether cancer-initiating cells (C-ICs) have similar epigenetic mechanisms that prevent lineage commitment is unknown. Here we show that colorectal C-ICs (CC-ICs) are maintained in a stem-like state through a bivalent epigenetic mechanism. Disruption of the bivalent state through inhibition of the H3K27 methyltransferase EZH2, resulted in decreased self-renewal of patient-derived C-ICs. Epigenomic analyses revealed that the promoter of Indian Hedgehog (IHH), a canonical driver of normal colonocyte differentiation, exists in a bivalent chromatin state. Inhibition of EZH2 resulted in de-repression of IHH, decreased self-renewal, and increased sensitivity to chemotherapy in vivo. Our results reveal an epigenetic block to differentiation in CC-ICs and demonstrate the potential for epigenetic differentiation therapy of a solid tumour through EZH2 inhibition.

The Mitochondrial Transacylase, Tafazzin, Regulates for AML Stemness by Modulating Intracellular Levels of Phospholipids

Tafazzin (TAZ) is a mitochondrial transacylase that remodels the mitochondrial cardiolipin into its mature form. Through a CRISPR screen, we identified TAZ as necessary for the growth and viability of acute myeloid leukemia (AML) cells. Genetic inhibition of TAZ reduced stemness and increased differentiation of AML cells both in vitro and in vivo. In contrast, knockdown of TAZ did not impair normal hematopoiesis under basal conditions. Mechanistically, inhibition of TAZ decreased levels of cardiolipin but also altered global levels of intracellular phospholipids, including phosphatidylserine, which controlled AML stemness and differentiation by modulating toll-like receptor (TLR) signaling.

The Proteogenomic Landscape of Curable Prostate Cancer

DNA sequencing has identified recurrent mutations that drive the aggressiveness of prostate cancers. Surprisingly, the influence of genomic, epigenomic, and transcriptomic dysregulation on the tumor proteome remains poorly understood. We profiled the genomes, epigenomes, transcriptomes, and proteomes of 76 localized, intermediate-risk prostate cancers. We discovered that the genomic subtypes of prostate cancer converge on five proteomic subtypes, with distinct clinical trajectories. ETS fusions, the most common alteration in prostate tumors, affect different genes and pathways in the proteome and transcriptome. Globally, mRNA abundance changes explain only ∼10% of protein abundance variability. As a result, prognostic biomarkers combining genomic or epigenomic features with proteomic ones significantly outperform biomarkers comprised of a single data type.

Abstract ES10-2: Mining noncoding mutations for drivers of development in ER alpha-positive breast cancer

Large-scale analysis of whole genome sequencing of breast tumors has identified thousands of genetic alterations, such as single-nucleotide variants (SNVs), outside of gene coding sequences. Delineating the functional impact of these noncoding SNVs is challenging, limiting their inclusion in precision genomics medicine pipelines. Pan-cancer attempts to detect evidence for positive selection within individual CREs identified promoters of a limited number of genes such as TERT. By considering the enrichment of noncoding mutations in cistromes as opposed to individual CREs, we identify the enrichment of noncoding SNVs in cistromes of breast cancer driver transcription factors, including FOXA1. This parallels enrichment of breast cancer genetic predispositions over these transcription factor cistromes. Furthermore, somatic SNVs accumulate in the regulatory plexus of some of these driver transcription factors providing evidence for a multi-targeted approach to disrupt their activity in breast cancer. In conclusion, our results support a functional impact of somatic SNVs converging on the cistrome of driver transcription factors in breast cancer. Altogether, we show how to interrogate noncoding SNVs to delineate the oncogenic determinants of breast cancer to be considered for therapeutic intervention.

Citation Format: Lupien M. Mining noncoding mutations for drivers of development in ER alpha-positive breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr ES10-2.

SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations

BACKGROUND

Single Nucleotide Variants (SNVs), including somatic point mutations and Single Nucleotide Polymorphisms (SNPs), in noncoding cis-regulatory elements (CREs) can affect gene regulation and lead to disease development. Several approaches have been developed to identify highly mutated regions, but these do not take into account the specific genomic context, and thus likelihood of mutation, of CREs.

RESULTS

Here, we present SMuRF (Significantly Mutated Region Finder), a user-friendly command-line tool to identify these significantly mutated regions from user-defined genomic intervals and SNVs. We demonstrate this using publicly available datasets in which SMuRF identifies 72 significantly mutated CREs in liver cancer, including known mutated gene promoters as well as previously unreported regions.

CONCLUSIONS

SMuRF is a helpful tool to allow the simple identification of significantly mutated regulatory elements. It is open-source and freely available on GitHub ( https://github.com/LupienLab/SMURF ).

Characterization of inv(3) cell line OCI-AML-20 with stroma-dependent CD34 expression

Acute myeloid leukemia (AML) is a complex, heterogeneous disease with variable outcomes following curative intent chemotherapy. AML with inv(3) is a genetic subgroup characterized by a very low response rate to current induction type chemotherapy and thus has among the worst long-term survivorship of the AMLs. Here, we describe OCI-AML-20, a new AML cell line with inv(3) and deletion of chromosome 7; the latter is a common co-occurrence in inv(3) AML. In OCI-AML-20, CD34 expression is maintained and required for repopulation in vitro and in vivo. CD34 expression in OCI-AML-20 shows dependence on the co-culture with stromal cells. Transcriptome analysis indicates that the OCI-AML-20 clusters with other AML patient data sets that have poor prognosis, as well as other AML cell lines, including another inv(3) line, MUTZ-3. OCI-AML-20 is a new cell line resource for studying the biology of inv(3) AML that can be used to identify potential therapies for this poor outcome disease.