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      An Immunocompetent Mouse Model of HPV16(+) Head and Neck Squamous Cell Carcinoma

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          SUMMARY

          The incidence of human papilloma virus (HPV)-associated head and neck squamous cell carcinoma (HNSCC) is increasing and implicated in more than 60% of all oropharyngeal carcinomas (OPSCCs). Although whole-genome, transcriptome, and proteome analyses have identified altered signaling pathways in HPV-induced HNSCCs, additional tools are needed to investigate the unique pathobiology of OPSCC. Herein, bioinformatics analyses of human HPV(+) HNSCCs revealed that all tumors express full-length E6 and identified molecular subtypes based on relative E6 and E7 expression levels. To recapitulate the levels, stoichiometric ratios, and anatomic location of E6/E7 expression, we generated a genetically engineered mouse model whereby balanced expression of E6/E7 is directed to the oropharyngeal epithelium. The addition of a mutant PIK3CA E545K allele leads to the rapid development of pre-malignant lesions marked by immune cell accumulation, and a subset of these lesions progress to OPSCC. This mouse provides a faithful immunocompetent model for testing treatments and investigating mechanisms of immuno- suppression.

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          In Brief

          Carper et al. present the ‘‘iKHP’’ mouse, in which HPV16 oncogenes are inducibly activated in vivo in a tissue-specific and temporal manner. Oropharyngeal- specific expression of E6/E7 with PIK3CA E545K in these mice promotes the development of premalignant lesions marked by immune cell infiltration, but only a subset spontaneously convert to OPSCC.

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          Most cited references47

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Sexually transmitted infections among US women and men: prevalence and incidence estimates, 2008.

            Most sexually active people will be infected with a sexually transmitted infection (STI) at some point in their lives. The number of STIs in the United States was previously estimated in 2000. We updated previous estimates to reflect the number of STIs for calendar year 2008. We reviewed available data and literature and conservatively estimated incident and prevalent infections nationally for 8 common STIs: chlamydia, gonorrhea, syphilis, herpes, human papillomavirus, hepatitis B, HIV, and trichomoniasis. Where available, data from nationally representative surveys such as the National Health and Nutrition Examination Survey were used to provide national estimates of STI prevalence or incidence. The strength of each estimate was rated good, fair, or poor, according to the quality of the evidence. In 2008, there were an estimated 110 million prevalent STIs among women and men in the United States. Of these, more than 20% of infections (22.1 million) were among women and men aged 15 to 24 years. Approximately 19.7 million incident infections occurred in the United States in 2008; nearly 50% (9.8 million) were acquired by young women and men aged 15 to 24 years. Human papillomavirus infections, many of which are asymptomatic and do not cause disease, accounted for most of both prevalent and incident infections. Sexually transmitted infections are common in the United States, with a disproportionate burden among young adolescents and adults. Public health efforts to address STIs should focus on prevention among at-risk populations to reduce the number and impact of STIs.
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              The head and neck cancer immune landscape and its immunotherapeutic implications.

              Recent clinical trials have demonstrated a clear survival advantage in advanced head and neck squamous cell carcinoma (HNSCC) patients treated with immune checkpoint blockade. These emerging results reveal that HNSCC is one of the most promising frontiers for immunotherapy research. However, further progress in head and neck immuno-oncology will require a detailed understanding of the immune infiltrative landscape found in these tumors. We leveraged transcriptome data from 280 tumors profiled by The Cancer Genome Atlas (TCGA) to comprehensively characterize the immune landscape of HNSCC in order to develop a rationale for immunotherapeutic strategies in HNSCC and guide clinical investigation. We find that both HPV(+) and HPV(-) HNSCC tumors are among the most highly immune-infiltrated cancer types. Strikingly, HNSCC had the highest median Treg/CD8(+) T cell ratio and the highest levels of CD56(dim) NK cell infiltration, in our pan-cancer analysis of the most immune-infiltrated tumors. CD8(+) T cell infiltration and CD56(dim) NK cell infiltration each correlated with superior survival in HNSCC. Tumors harboring genetic smoking signatures had lower immune infiltration and were associated with poorer survival, suggesting these patients may benefit from immune agonist therapy. These findings illuminate the immune landscape of HPV(+) and HPV(-) HNSCC. Additionally, this landscape provides a potentially novel rationale for investigation of agents targeting modulators of Tregs (e.g., CTLA-4, GITR, ICOS, IDO, and VEGFA) and NK cells (e.g., KIR, TIGIT, and 4-1BB) as adjuncts to anti-PD-1 in the treatment of advanced HNSCC.
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                Author and article information

                Journal
                101573691
                39703
                Cell Rep
                Cell Rep
                Cell reports
                2211-1247
                13 November 2019
                05 November 2019
                21 November 2019
                : 29
                : 6
                : 1660-1674.e7
                Affiliations
                [1 ]Lineberger Comprehensive Cancer Center, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [2 ]Department of Molecular Medicine, The Scripps Research Institute, Jupiter, FL, USA
                [3 ]Graduate Curriculum in Pathobiology and Translational Medicine, Biological & Biomedical Sciences Program, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [4 ]Department of Pathology and Laboratory Medicine, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [5 ]Graduate Curriculum in Oral & Craniofacial Biomedicine, Biological & Biomedical Sciences Program, UNC Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [6 ]Bioinformatics Core, Lineberger Comprehensive Cancer Center, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [7 ]Graduate Curriculum in Cell Biology and Physiology, Biological & Biomedical Sciences Program, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [8 ]Division of Oral and Craniofacial Health Sciences, UNC Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [9 ]Department of Tumor Biology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
                [10 ]Department of Genetics, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [11 ]Department of Medical Oncology, University of Tennessee Health Sciences West Cancer Center, Memphis, TN, USA
                [12 ]Department of Cell Biology and Physiology, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [13 ]Biomedical Research Imaging Center, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [14 ]These authors contributed equally
                [15 ]Lead Contact
                Author notes

                AUTHOR CONTRIBUTIONS

                Conception and design, M.B.C., J.L.K., D.N.H., and A.L.A.; Development of methodology, M.B.C., J.S.P., J.L.C., J.L.K., D.N.H., and A.L.A.; Acquisition of data (provided animals, acquired and managed patient data, provided facilities, etc.), M.B.C., S.R.S., S.T., B.L.W., K.M.B., K.P.-S., E.C.H., W.L., J.L.K., and A.L.A.; Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis), M.B.C., B.L.W., K.M.B., S.R.S., J.S.P., S.A.M., S.E.W., D.N.H., and A.L.A.; Writing, review, and/or revision of the manuscript: M.B.C., K.P.-S., S.R.S., S.E.W., J.L.K., J.L.C., D.N.H., and A.L.A.; Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases), S.R.S., E.C.H., and J.S.P.; Study supervision: J.S.P., S.E.W., D.N.H., and A.L.A.

                [* ]Correspondence: antonio_amelio@ 123456unc.edu
                Article
                NIHMS1542668
                10.1016/j.celrep.2019.10.005
                6870917
                31693903
                eb89c1e9-f7e1-4a2c-b994-f3deb3fe9222

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Cell biology
                Cell biology

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