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      Molecular dissection of the oncogenic role of ETS1 in the mesenchymal subtypes of head and neck squamous cell carcinoma

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          Abstract

          Head and Neck Squamous Cell Carcinoma (HNSCC) is a heterogeneous disease of significant mortality and with limited treatment options. Recent genomic analysis of HNSCC tumors has identified several distinct molecular classes, of which the mesenchymal subtype is associated with Epithelial to Mesenchymal Transition (EMT) and shown to correlate with poor survival and drug resistance. Here, we utilize an integrated approach to characterize the molecular function of ETS1, an oncogenic transcription factor specifically enriched in Mesenchymal tumors. To identify the global ETS1 cistrome, we have performed integrated analysis of RNA-Seq, ChIP-Seq and epigenomic datasets in SCC25, a representative ETS1 high mesenchymal HNSCC cell line. Our studies implicate ETS1 as a crucial regulator of broader oncogenic processes and specifically Mesenchymal phenotypes, such as EMT and cellular invasion. We found that ETS1 preferentially binds cancer specific regulator elements, in particular Super-Enhancers of key EMT genes, highlighting its role as a master regulator. Finally, we show evidence that ETS1 plays a crucial role in regulating the TGF-β pathway in Mesenchymal cell lines and in leading-edge cells in primary HNSCC tumors that are endowed with partial-EMT features. Collectively our study highlights ETS1 as a key regulator of TGF-β associated EMT and reveals new avenues for sub-type specific therapeutic intervention.

          Author summary

          The expression of the transcriptional regulator, E26 transformation-specific 1 (ETS1), is elevated in many epithelial cancers and portends aggressive tumor behavior and poor survival. Within these carcinomas, ETS1 function has been shown to be associated with a wide range of cellular responses that include increased proliferation, angiogenesis, metastasis and drug resistance. Here we focus on Head and Neck Squamous Cell Carcinoma (HNSCC) and discover that higher expression of ETS1 is specifically more pronounced in the mesenchymal subtypes of HNSCC, which represent tumors with enriched expression of Epithelial to Mesenchymal Transition (EMT) markers and inflammation. By using genomic and epigenomic strategies, we have identified the global targets of ETS1 in a preclinical Mesenchymal HNSCC cell model and determined the crucial gene network that is most dependent upon its function. We further validate this ETS1-driven gene expression signature within several HNSCC patient derived datasets and conclude that ETS1 acts as a crucial regulator of the TGFβ signaling cascade to drive EMT. Our findings reinforce the challenges of epithelial tumor heterogeneity and offer insights into molecular underpinning of a specific subtype that can be mined for cancer vulnerability.

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          Most cited references47

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          Exome sequencing of head and neck squamous cell carcinoma reveals inactivating mutations in NOTCH1.

          Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide. To explore the genetic origins of this cancer, we used whole-exome sequencing and gene copy number analyses to study 32 primary tumors. Tumors from patients with a history of tobacco use had more mutations than did tumors from patients who did not use tobacco, and tumors that were negative for human papillomavirus (HPV) had more mutations than did HPV-positive tumors. Six of the genes that were mutated in multiple tumors were assessed in up to 88 additional HNSCCs. In addition to previously described mutations in TP53, CDKN2A, PIK3CA, and HRAS, we identified mutations in FBXW7 and NOTCH1. Nearly 40% of the 28 mutations identified in NOTCH1 were predicted to truncate the gene product, suggesting that NOTCH1 may function as a tumor suppressor gene rather than an oncogene in this tumor type.
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            The selection and function of cell type-specific enhancers.

            The human body contains several hundred cell types, all of which share the same genome. In metazoans, much of the regulatory code that drives cell type-specific gene expression is located in distal elements called enhancers. Although mammalian genomes contain millions of potential enhancers, only a small subset of them is active in a given cell type. Cell type-specific enhancer selection involves the binding of lineage-determining transcription factors that prime enhancers. Signal-dependent transcription factors bind to primed enhancers, which enables these broadly expressed factors to regulate gene expression in a cell type-specific manner. The expression of genes that specify cell type identity and function is associated with densely spaced clusters of active enhancers known as super-enhancers. The functions of enhancers and super-enhancers are influenced by, and affect, higher-order genomic organization.
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              Epithelial-mesenchymal transition spectrum quantification and its efficacy in deciphering survival and drug responses of cancer patients

              Epithelial-mesenchymal transition (EMT) is a reversible and dynamic process hypothesized to be co-opted by carcinoma during invasion and metastasis. Yet, there is still no quantitative measure to assess the interplay between EMT and cancer progression. Here, we derived a method for universal EMT scoring from cancer-specific transcriptomic EMT signatures of ovarian, breast, bladder, lung, colorectal and gastric cancers. We show that EMT scoring exhibits good correlation with previously published, cancer-specific EMT signatures. This universal and quantitative EMT scoring was used to establish an EMT spectrum across various cancers, with good correlation noted between cell lines and tumours. We show correlations between EMT and poorer disease-free survival in ovarian and colorectal, but not breast, carcinomas, despite previous notions. Importantly, we found distinct responses between epithelial- and mesenchymal-like ovarian cancers to therapeutic regimes administered with or without paclitaxelin vivo and demonstrated that mesenchymal-like tumours do not always show resistance to chemotherapy. EMT scoring is thus a promising, versatile tool for the objective and systematic investigation of EMT roles and dynamics in cancer progression, treatment response and survival.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Investigation
                Role: Funding acquisitionRole: Resources
                Role: InvestigationRole: Supervision
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Resources
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                15 July 2019
                July 2019
                : 15
                : 7
                : e1008250
                Affiliations
                [001]Department of Biochemistry, SUNY at Buffalo, Buffalo, NY, United States of America
                Novartis, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-7437-7204
                http://orcid.org/0000-0001-5320-3678
                http://orcid.org/0000-0002-9574-4576
                Article
                PGENETICS-D-18-02367
                10.1371/journal.pgen.1008250
                6657958
                31306413
                0fa70784-858c-4062-9619-02c0056f9d9e
                © 2019 Gluck et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 December 2018
                : 17 June 2019
                Page count
                Figures: 9, Tables: 0, Pages: 31
                Funding
                CG was supported by SCiRM training grant funded by C30290GG, NYSTEM https://stemcell.ny.gov/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Gene Expression
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Head and Neck Cancers
                Head and Neck Tumors
                Head and Neck Squamous Cell Carcinoma
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Carcinomas
                Squamous Cell Carcinomas
                Head and Neck Squamous Cell Carcinoma
                Biology and life sciences
                Cell biology
                Signal transduction
                Cell signaling
                Signaling cascades
                TGF-beta signaling cascade
                Biology and Life Sciences
                Genetics
                Gene Types
                Regulator Genes
                Biology and life sciences
                Genetics
                Gene expression
                Gene regulation
                Small interfering RNAs
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Small interfering RNAs
                Medicine and Health Sciences
                Oncology
                Carcinogenesis
                Biology and Life Sciences
                Genetics
                Gene Expression
                Gene Regulation
                Biology and Life Sciences
                Cell Biology
                Signal Transduction
                Cell Signaling
                Genomic Signal Processing
                Custom metadata
                vor-update-to-uncorrected-proof
                2019-07-25
                All ChIP-Seq and RNA-Seq datasets generated in this study have been deposited in GEO repository: GSE109896, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE109896.

                Genetics
                Genetics

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