Mammary molecular portraits reveal lineage-specific features and progenitor cell vulnerabilities

Casey et al. integrate epigenomic, transcriptomic, and proteomic profiling of primary basal and luminal mammary cells to identify master epigenetic regulators of the mammary epithelium and uncover stem and progenitor cell vulnerabilities. They develop a pipeline to identify drugs that abrogate progenitor cell activity in normal and high-risk breast cancer patient samples in vitro and in vivo.

The mammary epithelium depends on specific lineages and their stem and progenitor function to accommodate hormone-triggered physiological demands in the adult female. Perturbations of these lineages underpin breast cancer risk, yet our understanding of normal mammary cell composition is incomplete. Here, we build a multimodal resource for the adult gland through comprehensive profiling of primary cell epigenomes, transcriptomes, and proteomes. We define systems-level relationships between chromatin–DNA–RNA–protein states, identify lineage-specific DNA methylation of transcription factor binding sites, and pinpoint proteins underlying progesterone responsiveness. Comparative proteomics of estrogen and progesterone receptor–positive and –negative cell populations, extensive target validation, and drug testing lead to discovery of stem and progenitor cell vulnerabilities. Top epigenetic drugs exert cytostatic effects; prevent adult mammary cell expansion, clonogenicity, and mammopoiesis; and deplete stem cell frequency. Select drugs also abrogate human breast progenitor cell activity in normal and high-risk patient samples. This integrative computational and functional study provides fundamental insight into mammary lineage and stem cell biology.

Reporters to mark and eliminate basal or luminal epithelial cells in culture and in vivo

The contribution of basal and luminal cells to cancer progression and metastasis is poorly understood. We report generation of reporter systems driven by either keratin-14 (K14) or keratin-8 (K8) promoter that not only express a fluorescent protein but also an inducible suicide gene. Transgenic mice express the reporter genes in the right cell compartments of mammary gland epithelia and respond to treatment with toxins. In addition, we engineered the reporters into 4T1 metastatic mouse tumor cell line and demonstrate that K14+ cells, but not K14- or K8+, are both highly invasive in three-dimensional (3D) culture and metastatic in vivo. Treatment of cells in culture, or tumors in mice, with reporter-targeting toxin inhibited both invasive behavior and metastasis in vivo. RNA sequencing (RNA-seq), secretome, and epigenome analysis of K14+ and K14- cells led to the identification of amphoterin-induced protein 2 (Amigo2) as a new cell invasion driver whose expression correlated with decreased relapse-free survival in patients with TP53 wild-type (WT) breast cancer.

Author Correction: A Myc enhancer cluster regulates normal and leukaemic haematopoietic stem cell hierarchies

In the originally published version of this Letter, ref. 43 was erroneously provided twice. In the 'Estimation of relative cell-type-specific composition of AML samples' section in the Methods, the citation to ref. 43 after the GEO dataset GSE24759 is correct. However, in the 'Mice' section of the Methods, the citation to ref. 43 after 'TAMERE' should have been associated with a new reference1. The original Letter has been corrected online (with the new reference included as ref. 49).

Publisher Correction: Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation

This corrects the article DOI: 10.1038/ncomms5999.

Transcriptome-wide characterization of the endogenous miR-34A-p53 tumor suppressor network

microRNA-34A is a critical component of the p53 network and expression of miR- 34A is down-regulated by promoter hypermethylation or focal deletions in numerous human cancers. Although miR-34A deregulation may be an important driver in cancer, the endogenous role of this microRNA in cellular homeostasis is not well characterized. To address this knowledge gap, we aimed to determine the transcriptional landscape of the miR-34A-p53 axis in non-transformed cells. Using primary skin-derived fibroblast cell lines from patients who developed childhood cancers, and who harbor either germline TP53 mutations or are TP53 wild type, we sought to characterize the transcriptional response to miR-34A modulation. Through transcriptome-wide RNA-Sequencing, we show for the first time that in human non- transformed cells harboring TP53 mutations, miR-34A functions in a noncanonical manner to influence noncoding RNA networks, including RNA components of the minor (U12) spliceosome, as well as TP53-dependent and independent epigenetic pathways. miR- 34A-regulated transcripts include known cell cycle mediators and abrogation of miR-34A leads to a TP53-dependent increase in the fraction of cells in G2/M. Collectively, these results provide a framework for understanding the endogenous role of the miR-34A signaling axis and identify novel transcripts and pathways regulated by the essential miR-34A-p53 tumor suppressor network.

Therapeutic targeting of ependymoma as informed by oncogenic enhancer profiling

Genomic sequencing has driven precision-based oncology therapy; however, genetic drivers remain unknown or non-targetable for many malignancies, demanding alternative approaches to identify therapeutic leads. Ependymomas are chemotherapy-resistant brain tumours, which, despite genomic sequencing, lack effective molecular targets. Intracranial ependymomas are segregated based on anatomical location – supratentorial region (ST) or posterior fossa (PF) – and further divided into distinct molecular subgroups that reflect differences in age of onset, gender predominance, and response to therapy^1–3. The most common and aggressive subgroup, Posterior Fossa Ependymoma Group A (PF-EPN-A), occurs in young children and appears to lack recurrent somatic mutations². Conversely, Posterior Fossa Ependymoma Group B (PF-EPN-B) tumours display frequent large-scale copy number gains and losses yet favourable clinical outcomes^1,3. Greater than 70% of supratentorial ependymomas are defined by highly recurrent gene fusions in the NFκB subunit RELA (ST-EPN-RELA), and less frequently involve fusion of the gene encoding the transcriptional activator YAP1 (ST-EPN-YAP1).^1,3,4 Subependymomas, a distinct histologic variant, can also be found within the ST and PF compartments accounting for the majority of tumours in the molecular subgroups ST-EPN-SE and PF-EPN-SE, respectively¹. Here, we mapped active chromatin landscapes in 42 primary ependymomas in two non-overlapping primary ependymoma cohorts with the goal of identifying essential super enhancer associated genes on which tumour cells were dependent. Enhancer regions revealed putative oncogenes, molecular targets, and pathways, which when subjected to small molecule inhibitor or shRNA treatment, diminished proliferation of patient-derived neurospheres and increased survival in mouse models of ependymomas. Through profiling of transcriptional enhancers, our study provides a framework for target and drug discovery in other cancers recalcitrant to therapeutic development because of their lack of known genetic drivers.

Pre-neoplastic epigenetic disruption of transcriptional enhancers in chronic inflammation

Chronic periodontitis (CP) is a chronic inflammatory disease independently associated with higher incidence of oral cavity squamous cell carcinoma (OSCC). However, the molecular mechanism responsible for this increased incidence is unknown. Here we profiled the DNA methylome of CP patients and healthy controls and compared to a large set of OSCC samples from TCGA. We observed a significant overlap between the altered DNA methylation patterns in CP and in OSCC, suggesting an emergence of a pre-neoplastic epigenome in CP. Remarkably, the hypermethylated CpGs in CP were significantly enriched for enhancer elements. This aberrant enhancer methylation is functional and able to disrupt enhancer activity by preventing the binding of chromatin looping factors. This study provides new insights on the molecular mechanisms linking chronic inflammation and tumor predisposition, highlighting the role of epigenetic disruption of transcriptional enhancers.

Convergence of BMI1 and CHD7 on ERK Signaling in Medulloblastoma

We describe molecular convergence between BMI1 and CHD7 in the initiation of medulloblastoma. Identified in a functional genomic screen in mouse models, a BMI1High;CHD7Low expression signature within medulloblastoma characterizes patients with poor overall survival. We show that BMI1-mediated repression of the ERK1/2 pathway leads to increased proliferation and tumor burden in primary human MB cells and in a xenograft model, respectively. We provide evidence that repression of the ERK inhibitor DUSP4 by BMI1 is dependent on a more accessible chromatin configuration in G4 MB cells with low CHD7 expression. These findings extend current knowledge of the role of BMI1 and CHD7 in medulloblastoma pathogenesis, and they raise the possibility that pharmacological targeting of BMI1 or ERK may be particularly indicated in a subgroup of MB with low expression levels of CHD7.

Organizing combinatorial transcription factor recruitment at cis-regulatory modules

Gene transcriptional regulation relies on cis-regulatory DNA modules (CRMs), which serve as nexus sites for integration of multiple transcription factor (TF) activities. Here, we provide evidence and discuss recent literature indicating that TF recruitment to CRMs is organized into combinations of trans-regulatory protein modules (TRMs). We propose that TRMs are functional entities composed of TFs displaying the most highly interdependent chromatin binding which are, in addition, able to modulate their recruitment to CRMs through inter-TRM effects. These findings shed light on the architectural organization of TF recruitment encoded by their recognition motifs within CRMs.

Gene isoforms as expression-based biomarkers predictive of drug response in vitro

Next-generation sequencing technologies have recently been used in pharmacogenomic studies to characterize large panels of cancer cell lines at the genomic and transcriptomic levels. Among these technologies, RNA-sequencing enable profiling of alternatively spliced transcripts. Given the high frequency of mRNA splicing in cancers, linking this feature to drug response will open new avenues of research in biomarker discovery. To identify robust transcriptomic biomarkers for drug response across studies, we develop a meta-analytical framework combining the pharmacological data from two large-scale drug screening datasets. We use an independent pan-cancer pharmacogenomic dataset to test the robustness of our candidate biomarkers across multiple cancer types. We further analyze two independent breast cancer datasets and find that specific isoforms of IGF2BP2, NECTIN4, ITGB6, and KLHDC9 are significantly associated with AZD6244, lapatinib, erlotinib, and paclitaxel, respectively. Our results support isoform expressions as a rich resource for biomarkers predictive of drug response.

ASCL1 Reorganizes Chromatin to Direct Neuronal Fate and Suppress Tumorigenicity of Glioblastoma Stem Cells

Glioblastomas exhibit a hierarchical cellular organization, suggesting that they are driven by neoplastic stem cells that retain partial yet abnormal differentiation potential. Here, we show that a large subset of patient-derived glioblastoma stem cells (GSCs) express high levels of Achaete-scute homolog 1 (ASCL1), a proneural transcription factor involved in normal neurogenesis. ASCL1^hi GSCs exhibit a latent capacity for terminal neuronal differentiation in response to inhibition of Notch signaling, whereas ASCL1^lo GSCs do not. Increasing ASCL1 levels in ASCL1^lo GSCs restores neuronal lineage potential, promotes terminal differentiation, and attenuates tumorigenicity. ASCL1 mediates these effects by functioning as a pioneer factor at closed chromatin, opening new sites to activate a neurogenic gene expression program. Directing GSCs toward terminal differentiation may provide therapeutic applications for a subset of GBM patients and strongly supports efforts to restore differentiation potential in GBM and other cancers.

Abstract NG05: TP53-mediated human cancer susceptibility is defined by epigenetic dysregulation of microRNA-34A

Mutations in the TP53 tumor suppressor gene are the most common genetic aberrations across all human cancers. Germline TP53 mutations are also the hallmark genetic event in Li-Fraumeni syndrome (LFS), a highly penetrant human cancer susceptibility syndrome, conferring a predisposition to developing early-onset breast cancer, leukemias, bone and soft tissue sarcomas, brain tumors of various histologies, adrenocortical carcinomas, and a wide range of other malignancies. Although the link between mutant TP53 and human cancer is unequivocal, the mechanism by which this genetic aberration predisposes an individual to cancer remains to be elucidated.

To address this gap, we surveyed the epigenome and describe herein the largest systematic analysis of DNA methylation in patients harboring germline TP53 mutations and TP53 wild-type individuals. Specifically, we performed genome-wide methylation analyses of peripheral blood leukocyte DNA in germline TP53 mutation carriers (n=72) and TP53 wild-type individuals who developed histologically comparable cancers (n=111). Targeted bisulfite pyrosequencing was performed on peripheral blood DNA in a validation cohort (n=76), and candidate sites were further evaluated in primary tumors from LFS patients.

The differential methylation analysis demonstrates that in 183 patients, distinct DNA methylation signatures are associated with deleterious TP53 mutations. TP53 mutation-associated DNA methylation marks occur in genomic regions harboring known p53 binding sites and within genes encoding p53 pathway proteins. Moreover, loss-of-function TP53 mutations are significantly associated with differential methylation at the locus encoding miR-34A-a key component of the p53 regulatory network (adjusted p-value=3.1X10-15)-and validated in an independent patient cohort (n=76, 1.9X10-8). Targeted sequencing demonstrates that miR-34A is inactivated by hypermethylation across many different histologic types of primary tumors from LFS patients, such as brain tumors, osteosarcomas, rhabdomyosarcomas, and adrenocortical carcinomas. miR-34A promoter hypermethylation in tumors is also associated with decreased overall survival in a cohort of 29 patients with choroid plexus carcinomas, a characteristic LFS tumor (p<0.05). The relationship between miR-34A hypermethylation and TP53 mutation was further validated in sporadic cancers, using the publicly available TCGA dataset. This demonstrates the robustness of this correlation and the applicability of these findings to other cancer contexts.

This study refines the role of epigenetics in a cancer predisposition syndrome and is the first to implicate a microRNA, miR-34A, in human cancer susceptibility and provides a repository of genomic regions of deregulated methylation in the context of dysfunctional TP53. These findings suggest that deregulated DNA methylation at defined genomic loci may be an important hallmark of TP53-mediated cancer susceptibility. The most striking finding from this study is the relative miR-34A promoter hypomethylation at two adjacent CpG sites in peripheral blood from TP53 mutation carriers, confirmed in two independent cohorts and shown to cosegregate with TP53 mutations in LFS families. This result is remarkable since miR-34A is a central microRNA in the p53 network and the first microRNA identified as a direct proapoptotic target of the p53 pathway.

The detection of miR-34A promoter hypomethylation in TP53 mutant cells that have not undergone malignant transformation supports a putative model whereby wild-type p53 may influence methylation patterns at this locus. In particular, in nontransformed cells that do not harbor mutations in TP53, wild-type p53 may be recruited to the miR-34A locus and sustain hypermethylation. We have performed a series of in vitro studies on primary patient-derived lymphoblastoid cell lines to corroborate this model. Conversely, in the setting of loss-of-function or deleterious mutations in TP53, mutant p53 may not able to maintain hypermethylation of the miR-34A promoter, leading to upregulation of miR-34A. Owing to the known redundant cellular roles of p53 and miR-34A, upregulation of miR-34A may be beneficial to cells harboring mutant p53 by supplementing the necessary basal tumor suppressive function that is lost when p53 is mutated. This mechanism may serve to guard against mutant p53, even when the wild-type allele remains. Accordingly, this may explain why miR-34A promoter hypermethylation is characteristic of TP53-mutant tumors that lack wild-type p53 because this microRNA serves a critical role in cell maintenance, and its loss may cooperate with other genetic and/or epigenetic events to drive malignancy. It is therefore not surprising that, akin to p53, somatic miR-34A deregulation is pervasive in human cancer and miR-34A inactivation by focal deletion or promoter hypermethylation has been reported in the literature to occur in a multitude of human malignancies. The precise mechanisms of how the miR-34A promoter undergoes somatic epimutation in tissues remains to be elucidated, and likely various pathways may converge to yield this outcome in different tissues.

Given the high frequency of TP53 mutations in human malignancies, the relationship between mutant p53 and miR-34A has strong implications for the targeting of miR-34A in cancer. Encouragingly, studies have demonstrated in vivo the utility of miR-34A-based therapies in cancer, including intratumor or systemic delivery of lipid-formulated synthetic miR-34A.

To further probe these intriguing findings, we conducted mechanistic studies aimed at functionally interrogating the the miR-34A-p53 axis. We utilized in vitro-based assays to modulate miR-34A levels in primary patient-derived fibroblast cell lines, and subsequently performed by RNA-sequencing of the transcriptional responses. Our results uncover a number of novel cellular roles for miR-34A in cell maintenance. Significantly, the transcriptional response to miR-34A inhibition revealed that this microRNA may be a crucial switch that can lead to numerous changes to noncoding RNA networks as well as known p53 pathways. Markedly increased expression of key components of the U12 (minor) spliceosome occurs when miR-34A expression is diminished, thereby identifying a novel putative role of miR-34A in modulating transcription of the U12 spliceosomal machinery. The majority of TP53 mutation-associated transcripts are involved in chromatin remodeling and nucleosome assembly, and are enriched for histone cluster 1 genes. These linker histones are crucial for maintaining higher-order chromatin structure and for regulating gene expression, demonstrating the interplay between genetic and epigenetic states. Lastly, miR-34A is associated with transcriptional regulation of a host of lincRNAs, including LINC-PINT, a p53-induced lincRNA. These results are the first to identify miR-34A as an important node in the transcriptional regulation of numerous noncoding RNAs and point to further study of these pathways.

Taken together, these findings provide strong support for the impact of TP53 mutations on epigenetic dysregulation in human cancer susceptibility and demonstrate that miR-34A may be important in the pathogenesis of TP53-mediated cancer susceptibility. Moreover, miR-34A may be a putative novel therapeutic target and a marker for clinical prognostication. These studies also demonstrate that miR-34A is a central node in numerous p53-dependent and independent networks and provide further insight into the role of this critical tumor-suppressive microRNA. Further work aimed at refining our understanding of miR-34A-mediated pathways may yield additional molecular insight into the role of this microRNA in malignant transformation.

Citation Format: Nardin Samuel, Gavin Wilson, Genevieve Deblois, Badr Id Said, Nicholas W. Fischer, Mathieu Lemire, Youliang Lou, Weili Li, Roumiana Alexandrova, Ana Novokmet, James Tran, Kim E. Nichols, Jonathan L. Finlay, Sanaa Choufani, Marc Remke, Vijay Ramaswamy, Florence M.G. Cavalli, Christine Elser, Lynn Meister, Michael D. Taylor, Uri Tabori, Meredith Irwin, Rosanna Weksberg, Jonathan D. Wasserman, Jean Gariepy, Mathieu Lupien, Daniele Merico, Andrew Paterson, Jordan R. Hansford, Maria Isabel W. Achatz, Thomas J. Hudson, David Malkin. TP53-mediated human cancer susceptibility is defined by epigenetic dysregulation of microRNA-34A [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 NG05. doi:10.1158/1538-7445.AM2017-NG05

Abstract 2410: Toward mutation analysis of regulatory elements: Epigenetic profiling of primary breast tumors

Non-coding mutations found in regulatory elements can function as driver mutations in breast cancer by changing the binding affinity of transcription factors for DNA, thereby resulting in direct change of expression of genes that promote cancer development. Identifying such additional driver mutations can reveal the molecular mechanisms favorable to breast cancer development and progression, as well as reveal new biomarkers to better tailor personalized/precision cancer medicine. In this study we have collected 20 primary luminal breast tumors and optimized experimental workflow to dissociate solid tumors and map open chromatin using ATAC-seq. In our initial experiments using ATAC-seq profiling of bulk tumor tissues, we were able to call an average of 15x103 peaks. Subsequently, flow cytometry analysis showed the presence of 15-25% of immune cells in our primary tumors. Therefore, we have optimized a workflow to eliminate immune cells and focus mainly on epithelial tumor cells. Primary breast tumors were digested using collagenase and further dissociated with dispase. Cells were sorted into two populations (mammary epithelial and immune cells) using anti-CD45, anti-CD49f and anti-EpCAM antibodies. Sorted mammary epithelial cells were then used for ATAC- and RNA-seq library preparation as well as for generation of patient derived organoids. Our new workflow resulted in an increased number of called peaks (40x103 vs 15x103), as well as a significant increase in the percentage of unique peaks compared to bulk sequencing (45% vs 15%). By refining our workflow to enrich for tumour content, we will continue our ongoing effort to profile these open chromatin regions and contextualize the mutations within in a large cohort of luminal breast cancers using targeted sequencing. These data will be compared with large-scale whole genome data generated by our group and made publicly available by others.

Citation Format: Samah El Ghamrasni, Paul Guilhamon, Rene Quevedo, Cindy Yang, Mathieu Lupien, Trevor Pugh. Toward mutation analysis of regulatory elements: Epigenetic profiling of primary breast tumors [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 2410. doi:10.1158/1538-7445.AM2017-2410

The logic of transcriptional regulator recruitment architecture at cis-regulatory modules controlling liver functions

Control of gene transcription relies on concomitant regulation by multiple transcriptional regulators (TRs). However, how recruitment of a myriad of TRs is orchestrated at cis-regulatory modules (CRMs) to account for coregulation of specific biological pathways is only partially understood. Here, we have used mouse liver CRMs involved in regulatory activities of the hepatic TR, NR1H4 (FXR; farnesoid X receptor), as our model system to tackle this question. Using integrative cistromic, epigenomic, transcriptomic, and interactomic analyses, we reveal a logical organization where trans-regulatory modules (TRMs), which consist of subsets of preferentially and coordinately corecruited TRs, assemble into hierarchical combinations at hepatic CRMs. Different combinations of TRMs add to a core TRM, broadly found across the whole landscape of CRMs, to discriminate promoters from enhancers. These combinations also specify distinct sets of CRM differentially organized along the genome and involved in regulation of either housekeeping/cellular maintenance genes or liver-specific functions. In addition to these TRMs which we define as obligatory, we show that facultative TRMs, such as one comprising core circadian TRs, are further recruited to selective subsets of CRMs to modulate their activities. TRMs transcend TR classification into ubiquitous versus liver-identity factors, as well as TR grouping into functional families. Hence, hierarchical superimpositions of obligatory and facultative TRMs bring about independent transcriptional regulatory inputs defining different sets of CRMs with logical connection to regulation of specific gene sets and biological pathways. Altogether, our study reveals novel principles of concerted transcriptional regulation by multiple TRs at CRMs.

Abiraterone +/- cabazitaxel in defining complete response in prostatectomy (ACDC-RP) trial

TPS5095

Background: Given recent advances in the management of de novo metastatic hormone-sensitive prostate cancer with both docetaxel and abiraterone, as well as evidence of significant activity of cabazitaxel in the post-abiraterone castrate-resistant setting, we hypothesized that the addition of cabazitaxel to neoadjuvant abiraterone will improve pathological complete response rates by overcoming mechanisms of resistance in localized high-risk prostate cancer. Aim: To determine the relative efficacy of the addition of cabazitaxel to abiraterone in the neoadjuvant treatment of prostate cancer to achieve a complete response. Methods: Open label, randomized, 2-arm multi-centre, phase 2 clinical trial. Primary endpoint: Pathological complete response rate (pCR). Secondary endpoints: surgical outcomes (positive margins, extracapsular extension, seminal vesicle or nodal involvement), pharmacodynamic markers in residual tumour (apoptosis, androgen receptor expression, localization, and signaling), biomarkers (intra-prostatic androgen levels), and safety. Design: Study participants will be randomized in a 1:1 ratio to receive either: Arm A: Abiraterone (1000 mg/day), prednisone (5 mg b.i.d.), leuprolide (22.5 mg s.c. every 3 months), and cabazitaxel (25 mg/m2 starting at week 2, with 6 mg pegfilgrastim 24 h following cabazitaxel) or Arm B: Abiraterone (1000 mg/day), prednisone (5 mg b.i.d.) and leuprolide (22.5 mg s.c. every 3 months). Assessments will take place biweekly for the first 12 weeks, then monthly until the prostatectomy (scheduled for 24 weeks following start of treatment). Target accrual is 88 participants within 36 months. Study is powered to detect a 15% difference with 85% power, assuming a one-sided type 1 error rate of 20%. A 6 patient safety run-in is included. As of Jan 2017, 1 site is open in Canada, with 4 additional Canadian sites and 1 site in Australia pending. To date, 4 participants are randomized and undergoing treatment. ACDC-RP is an investigator-initiated trial led by the Princess Margaret Urology Trials Group with funding from Ontario Institute for Cancer Research (OICR) and in-kind contributions from Janssen and Sanofi. Clinical trial information: NCT02543255.

Variant Set Enrichment: an R package to identify disease-associated functional genomic regions

BACKGROUND

Genetic predispositions to diseases populate the noncoding regions of the human genome. Delineating their functional basis can inform on the mechanisms contributing to disease development. However, this remains a challenge due to the poor characterization of the noncoding genome. Here, we propose an R package that can pinpoint which genomic features are etiologically important based on the genetic predispositions.

RESULTS

Variant Set Enrichment (VSE) is an R package to calculate the enrichment of a set of disease-associated variants across functionally annotated genomic regions, consequently highlighting the mechanisms important in the etiology of the disease studied.

CONCLUSIONS

VSE is implemented as an R package and can easily be implemented in any system with R.

Integrated (epi)-Genomic Analyses Identify Subgroup-Specific Therapeutic Targets in CNS Rhabdoid Tumors

We recently reported that atypical teratoid rhabdoid tumors (ATRTs) comprise at least two transcriptional subtypes with different clinical outcomes; however, the mechanisms underlying therapeutic heterogeneity remained unclear. In this study, we analyzed 191 primary ATRTs and 10 ATRT cell lines to define the genomic and epigenomic landscape of ATRTs and identify subgroup-specific therapeutic targets. We found ATRTs segregated into three epigenetic subgroups with distinct genomic profiles, SMARCB1 genotypes, and chromatin landscape that correlated with differential cellular responses to a panel of signaling and epigenetic inhibitors. Significantly, we discovered that differential methylation of a PDGFRB-associated enhancer confers specific sensitivity of group 2 ATRT cells to dasatinib and nilotinib, and suggest that these are promising therapies for this highly lethal ATRT subtype.

Emergence of the Noncoding Cancer Genome: A Target of Genetic and Epigenetic Alterations

The emergence of whole-genome annotation approaches is paving the way for the comprehensive annotation of the human genome across diverse cell and tissue types exposed to various environmental conditions. This has already unmasked the positions of thousands of functional cis-regulatory elements integral to transcriptional regulation, such as enhancers, promoters, and anchors of chromatin interactions that populate the noncoding genome. Recent studies have shown that cis-regulatory elements are commonly the targets of genetic and epigenetic alterations associated with aberrant gene expression in cancer. Here, we review these findings to showcase the contribution of the noncoding genome and its alteration in the development and progression of cancer. We also highlight the opportunities to translate the biological characterization of genetic and epigenetic alterations in the noncoding cancer genome into novel approaches to treat or monitor disease.

SIGNIFICANCE

The majority of genetic and epigenetic alterations accumulate in the noncoding genome throughout oncogenesis. Discriminating driver from passenger events is a challenge that holds great promise to improve our understanding of the etiology of different cancer types. Advancing our understanding of the noncoding cancer genome may thus identify new therapeutic opportunities and accelerate our capacity to find improved biomarkers to monitor various stages of cancer development. Cancer Discov; 6(11); 1215-29. ©2016 AACR.

Noncoding somatic and inherited single-nucleotide variants converge to promote ESR1 expression in breast cancer

Sustained expression of the oestrogen receptor alpha (ESR1) drives two-thirds of breast cancer and defines the ESR1-positive subtype. ESR1 engages enhancers upon oestrogen stimulation to establish an oncogenic expression program¹. Somatic copy number alterations involving the ESR1 gene occur in approximately 1% of ESR1-positive breast cancers^2–5, implying that other mechanisms underlie the persistent expression of ESR1. We report the significant enrichment of somatic mutations within the set of regulatory elements (SRE) regulating ESR1 in 7% of ESR1-positive breast cancers. These mutations regulate ESR1 expression by modulating transcription factor binding to the DNA. The SRE includes a recurrently mutated enhancer whose activity is also affected by a functional inherited single nucleotide variant (SNV) rs9383590 that accounts for several breast cancer risk-loci. Our work highlights the importance of considering the combinatorial activity of regulatory elements as a single unit to delineate the impact of noncoding genetic alterations on single genes in cancer.