Global Cancer Transcriptome Quantifies Repeat Element Polarization between Immunotherapy Responsive and T Cell Suppressive Classes

It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and lim...

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Veröffentlicht in:	Cell reports (Cambridge) Jg. 23; H. 2; S. 512 - 521
Hauptverfasser:	Solovyov, Alexander, Vabret, Nicolas, Arora, Kshitij S., Snyder, Alexandra, Funt, Samuel A., Bajorin, Dean F., Rosenberg, Jonathan E., Bhardwaj, Nina, Ting, David T., Greenbaum, Benjamin D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 10.04.2018 Elsevier
Schlagworte:	Antibodies, Monoclonal - therapeutic use cancer immunity Cluster Analysis Endogenous Retroviruses - metabolism ERV HSATII Humans Immunotherapy innate immunity Kaplan-Meier Estimate Long Interspersed Nucleotide Elements - genetics microenvironment Neoplasms - genetics Neoplasms - mortality Neoplasms - therapy repetitive elements Repetitive Sequences, Nucleic Acid - genetics RNA-seq Sequence Analysis, RNA T-Lymphocyte Subsets - cytology T-Lymphocyte Subsets - metabolism Transcriptome microenvironment HSATII RNA-seq innate immunity immunotherapy ERV repetitive elements cancer immunity
ISSN:	2211-1247, 2211-1247
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Abstract	It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and limited subsets of repeats, it fails to capture overall repeat expression and co-expression. Alternatively, total RNA expression reveals distinct repeat co-expression subgroups and delivers greater dynamic changes, implying they may serve as better biomarkers of clinical outcomes. We show that endogenous retrovirus expression predicts immunotherapy response better than conventional immune signatures in one cohort yet is not predictive in another. Moreover, we find that global repeat derepression, including the HSATII satellite repeat, correlates with an immunosuppressive phenotype in colorectal and pancreatic tumors and validate in situ. In conclusion, we stress the importance of analyzing the full spectrum of repeat transcription to decode their role in tumor immunity. [Display omitted] •RNA repeats are not properly detected in poly(A)-selected libraries•Expression of specific RNA repeat classes correlates with immune infiltrates in tumors•Quantifying nucleic acid repeats in tumors can serve as immunotherapy biomarkers Solovyov et al. compare protocols used in tumor transcriptional profiling. They show the most widely used poly(A) protocol fails to detect several classes of repeat RNAs. In contrast, repeat expression in total RNA sequencing can correlate with the cancer-immune phenotypes and patient responses to immunotherapy.
AbstractList	It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and limited subsets of repeats, it fails to capture overall repeat expression and co-expression. Alternatively, total RNA expression reveals distinct repeat co-expression subgroups and delivers greater dynamic changes, implying they may serve as better biomarkers of clinical outcomes. We show that endogenous retrovirus expression predicts immunotherapy response better than conventional immune signatures in one cohort yet is not predictive in another. Moreover, we find that global repeat derepression, including the HSATII satellite repeat, correlates with an immunosuppressive phenotype in colorectal and pancreatic tumors and validate in situ. In conclusion, we stress the importance of analyzing the full spectrum of repeat transcription to decode their role in tumor immunity. Solovyov et al. compare protocols used in tumor transcriptional profiling. They show the most widely used poly(A) protocol fails to detect several classes of repeat RNAs. In contrast, repeat expression in total RNA sequencing can correlate with the cancer-immune phenotypes and patient responses to immunotherapy. It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and limited subsets of repeats, it fails to capture overall repeat expression and co-expression. Alternatively, total RNA expression reveals distinct repeat co-expression subgroups and delivers greater dynamic changes, implying they may serve as better biomarkers of clinical outcomes. We show that endogenous retrovirus expression predicts immunotherapy response better than conventional immune signatures in one cohort yet is not predictive in another. Moreover, we find that global repeat derepression, including the HSATII satellite repeat, correlates with an immunosuppressive phenotype in colorectal and pancreatic tumors and validate in situ. In conclusion, we stress the importance of analyzing the full spectrum of repeat transcription to decode their role in tumor immunity.It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and limited subsets of repeats, it fails to capture overall repeat expression and co-expression. Alternatively, total RNA expression reveals distinct repeat co-expression subgroups and delivers greater dynamic changes, implying they may serve as better biomarkers of clinical outcomes. We show that endogenous retrovirus expression predicts immunotherapy response better than conventional immune signatures in one cohort yet is not predictive in another. Moreover, we find that global repeat derepression, including the HSATII satellite repeat, correlates with an immunosuppressive phenotype in colorectal and pancreatic tumors and validate in situ. In conclusion, we stress the importance of analyzing the full spectrum of repeat transcription to decode their role in tumor immunity. It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and limited subsets of repeats, it fails to capture overall repeat expression and co-expression. Alternatively, total RNA expression reveals distinct repeat co-expression subgroups and delivers greater dynamic changes, implying they may serve as better biomarkers of clinical outcomes. We show that endogenous retrovirus expression predicts immunotherapy response better than conventional immune signatures in one cohort yet is not predictive in another. Moreover, we find that global repeat derepression, including the HSATII satellite repeat, correlates with an immunosuppressive phenotype in colorectal and pancreatic tumors and validate in situ. In conclusion, we stress the importance of analyzing the full spectrum of repeat transcription to decode their role in tumor immunity. It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and limited subsets of repeats, it fails to capture overall repeat expression and co-expression. Alternatively, total RNA expression reveals distinct repeat co-expression subgroups and delivers greater dynamic changes, implying they may serve as better biomarkers of clinical outcomes. We show that endogenous retrovirus expression predicts immunotherapy response better than conventional immune signatures in one cohort yet is not predictive in another. Moreover, we find that global repeat derepression, including the HSATII satellite repeat, correlates with an immunosuppressive phenotype in colorectal and pancreatic tumors and validate in situ. In conclusion, we stress the importance of analyzing the full spectrum of repeat transcription to decode their role in tumor immunity. [Display omitted] •RNA repeats are not properly detected in poly(A)-selected libraries•Expression of specific RNA repeat classes correlates with immune infiltrates in tumors•Quantifying nucleic acid repeats in tumors can serve as immunotherapy biomarkers Solovyov et al. compare protocols used in tumor transcriptional profiling. They show the most widely used poly(A) protocol fails to detect several classes of repeat RNAs. In contrast, repeat expression in total RNA sequencing can correlate with the cancer-immune phenotypes and patient responses to immunotherapy. It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat transcriptomes in The Cancer Genome Atlas (TCGA). Although poly(A) selection efficiently detects coding genes, most non-coding genes, and limited subsets of repeats, it fails to capture overall repeat expression and co-expression. Alternatively, total RNA expression reveals distinct repeat co-expression subgroups and delivers greater dynamic changes, implying they may serve as better biomarkers of clinical outcomes. We show that endogenous retrovirus expression predicts immunotherapy response better than conventional immune signatures in one cohort yet is not predictive in another. Moreover, we find that global repeat derepression, including the HSATII satellite repeat, correlates with an immunosuppressive phenotype in colorectal and pancreatic tumors and validate in situ. In conclusion, we stress the importance of analyzing the full spectrum of repeat transcription to decode their role in tumor immunity. : Solovyov et al. compare protocols used in tumor transcriptional profiling. They show the most widely used poly(A) protocol fails to detect several classes of repeat RNAs. In contrast, repeat expression in total RNA sequencing can correlate with the cancer-immune phenotypes and patient responses to immunotherapy. Keywords: RNA-seq, ERV, HSATII, innate immunity, microenvironment, repetitive elements, immunotherapy, cancer immunity
Author	Greenbaum, Benjamin D. Funt, Samuel A. Arora, Kshitij S. Rosenberg, Jonathan E. Bhardwaj, Nina Snyder, Alexandra Solovyov, Alexander Bajorin, Dean F. Vabret, Nicolas Ting, David T.
AuthorAffiliation	2 Department of Oncological Sciences and Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA 7 Department of Medicine, Weill Cornell Medical College, New York, NY, USA 1 Tisch Cancer Institute, Departments of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA 5 Department of Pathology and Department of Surgery, Harvard Medical School, Charlestown, MA, USA 3 Precision Immunology Institute at the Icahn School of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA 9 Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA 6 Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA 4 Massachusetts General Hospital Cancer Center, Boston, MA, USA 8 Department of Medicine, Harvard Medical School, Boston, MA, USA
AuthorAffiliation_xml	– name: 3 Precision Immunology Institute at the Icahn School of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA – name: 7 Department of Medicine, Weill Cornell Medical College, New York, NY, USA – name: 2 Department of Oncological Sciences and Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA – name: 1 Tisch Cancer Institute, Departments of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA – name: 9 Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA – name: 6 Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA – name: 4 Massachusetts General Hospital Cancer Center, Boston, MA, USA – name: 5 Department of Pathology and Department of Surgery, Harvard Medical School, Charlestown, MA, USA – name: 8 Department of Medicine, Harvard Medical School, Boston, MA, USA
Author_xml	– sequence: 1 givenname: Alexander surname: Solovyov fullname: Solovyov, Alexander organization: Tisch Cancer Institute, Departments of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA – sequence: 2 givenname: Nicolas surname: Vabret fullname: Vabret, Nicolas organization: Tisch Cancer Institute, Departments of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA – sequence: 3 givenname: Kshitij S. surname: Arora fullname: Arora, Kshitij S. organization: Massachusetts General Hospital Cancer Center, Boston, MA, USA – sequence: 4 givenname: Alexandra surname: Snyder fullname: Snyder, Alexandra organization: Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA – sequence: 5 givenname: Samuel A. surname: Funt fullname: Funt, Samuel A. organization: Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA – sequence: 6 givenname: Dean F. surname: Bajorin fullname: Bajorin, Dean F. organization: Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA – sequence: 7 givenname: Jonathan E. surname: Rosenberg fullname: Rosenberg, Jonathan E. organization: Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA – sequence: 8 givenname: Nina surname: Bhardwaj fullname: Bhardwaj, Nina organization: Tisch Cancer Institute, Departments of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA – sequence: 9 givenname: David T. surname: Ting fullname: Ting, David T. organization: Massachusetts General Hospital Cancer Center, Boston, MA, USA – sequence: 10 givenname: Benjamin D. surname: Greenbaum fullname: Greenbaum, Benjamin D. email: benjamin.greenbaum@mssm.edu organization: Tisch Cancer Institute, Departments of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Cites_doi	10.1172/jci.insight.91078 10.1093/bioinformatics/btl117 10.1186/gb-2014-15-2-r29 10.1146/annurev-immunol-032414-112043 10.1097/PPO.0000000000000045 10.1016/j.cell.2014.12.033 10.1172/jci.insight.92102 10.1016/j.cell.2016.02.065 10.1002/bies.201600031 10.1073/pnas.1518008112 10.1093/bioinformatics/btp616 10.1146/annurev-cancerbio-050216-034443 10.1172/JCI63606 10.1186/gb-2010-11-3-r25 10.1371/journal.pmed.1002309 10.1073/pnas.1517584112 10.1073/pnas.1402285111 10.1073/pnas.1216922110 10.1186/1471-2164-15-419 10.1016/j.cell.2015.07.011 10.1038/nature24039 10.1126/science.1200801 10.1101/gad.266098.115 10.1038/nature14404 10.1016/j.semcancer.2012.06.008 10.1016/j.coisb.2016.12.008 10.1016/j.it.2016.10.006 10.1016/j.cell.2015.07.056 10.1186/s13100-015-0041-9 10.1038/nature21349 10.1093/nar/gkv007 10.1186/1471-2164-15-583 10.2202/1544-6115.1027
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Keywords	microenvironment HSATII RNA-seq innate immunity immunotherapy ERV repetitive elements cancer immunity
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References	Smyth (bib23) 2004; 3 Chiappinelli, Strissel, Desrichard, Li, Henke, Akman, Hein, Rote, Cope, Snyder (bib7) 2015; 162 Robinson, Oshlack (bib19) 2010; 11 Zambirinis, Pushalkar, Saxena, Miller (bib33) 2014; 20 Ochi, Graffeo, Zambirinis, Rehman, Hackman, Fallon, Barilla, Henning, Jamal, Rao (bib17) 2012; 122 Takata, Gonçalves-Carneiro, Zang, Soll, York, Blanco-Melo, Bieniasz (bib27) 2017; 550 Badal, Solovyov, Di Cecilia, Chan, Chang, Iqbal, Aydin, Rajan, Chen, Abbate (bib1) 2017; 2 Zhao, He, Hoadley, Parker, Hayes, Perou (bib34) 2014; 15 Woo, Corrales, Gajewski (bib31) 2015; 33 Levine, Ting, Greenbaum (bib15) 2016; 38 Carone, Lawrence (bib4) 2013; 23 Hugo, Zaretsky, Sun, Song, Moreno, Hu-Lieskovan, Berent-Maoz, Pang, Chmielowski, Cherry (bib12) 2016; 165 Spranger, Bao, Gajewski (bib25) 2015; 523 Chatenay, Cocco, Greenbaum, Monasson, Netter (bib5) 2017 Ting, Lipson, Paul, Brannigan, Akhavanfard, Coffman, Contino, Deshpande, Iafrate, Letovsky (bib29) 2011; 331 Greenbaum, Cocco, Levine, Monasson (bib11) 2014; 111 Chen, Mellman (bib6) 2017; 541 Tanne, Muniz, Puzio-Kuter, Leonova, Gudkov, Ting, Monasson, Cocco, Levine, Bhardwaj, Greenbaum (bib28) 2015; 112 Rooney, Shukla, Wu, Getz, Hacohen (bib21) 2015; 160 Bao, Kojima, Kohany (bib2) 2015; 6 Leonova, Brodsky, Lipchick, Pal, Novototskaya, Chenchik, Sen, Komarova, Gudkov (bib14) 2013; 110 Ritchie, Phipson, Wu, Hu, Law, Shi, Smyth (bib18) 2015; 43 Robinson, McCarthy, Smyth (bib20) 2010; 26 Desai, Sajed, Arora, Solovyov, Rajurkar, Bledsoe, Sil, Amri, Tai, MacKenzie (bib9) 2017; 2 Law, Chen, Shi, Smyth (bib13) 2014; 15 Roulois, Loo Yau, Singhania, Wang, Danesh, Shen, Han, Liang, Jones, Pugh (bib22) 2015; 162 Suzuki, Shimodaira (bib26) 2006; 22 Criscione, Zhang, Thompson, Sedivy, Neretti (bib8) 2014; 15 Snyder, Nathanson, Funt, Ahuja, Buros Novik, Hellmann, Chang, Aksoy, Al-Ahmadie, Yusko (bib24) 2017; 14 Vabret, Bhardwaj, Greenbaum (bib30) 2017; 38 Wylie, Jones, D’Brot, Lu, Kurtz, Moran, Rakheja, Chen, Hammer, Comerford (bib32) 2016; 30 Lin, He (bib16) 2017; 1 Bersani, Lee, Kharchenko, Xu, Liu, Xega, MacKenzie, Brannigan, Wittner, Jung (bib3) 2015; 112 Greenbaum (bib10) 2017; 1 Carone (10.1016/j.celrep.2018.03.042_bib4) 2013; 23 Leonova (10.1016/j.celrep.2018.03.042_bib14) 2013; 110 Badal (10.1016/j.celrep.2018.03.042_bib1) 2017; 2 Roulois (10.1016/j.celrep.2018.03.042_bib22) 2015; 162 Smyth (10.1016/j.celrep.2018.03.042_bib23) 2004; 3 Tanne (10.1016/j.celrep.2018.03.042_bib28) 2015; 112 Ting (10.1016/j.celrep.2018.03.042_bib29) 2011; 331 Vabret (10.1016/j.celrep.2018.03.042_bib30) 2017; 38 Wylie (10.1016/j.celrep.2018.03.042_bib32) 2016; 30 Robinson (10.1016/j.celrep.2018.03.042_bib19) 2010; 11 Greenbaum (10.1016/j.celrep.2018.03.042_bib10) 2017; 1 Greenbaum (10.1016/j.celrep.2018.03.042_bib11) 2014; 111 Woo (10.1016/j.celrep.2018.03.042_bib31) 2015; 33 Desai (10.1016/j.celrep.2018.03.042_bib9) 2017; 2 Suzuki (10.1016/j.celrep.2018.03.042_bib26) 2006; 22 Rooney (10.1016/j.celrep.2018.03.042_bib21) 2015; 160 Takata (10.1016/j.celrep.2018.03.042_bib27) 2017; 550 Law (10.1016/j.celrep.2018.03.042_bib13) 2014; 15 Chatenay (10.1016/j.celrep.2018.03.042_bib5) 2017 Zambirinis (10.1016/j.celrep.2018.03.042_bib33) 2014; 20 Bersani (10.1016/j.celrep.2018.03.042_bib3) 2015; 112 Lin (10.1016/j.celrep.2018.03.042_bib16) 2017; 1 Ritchie (10.1016/j.celrep.2018.03.042_bib18) 2015; 43 Levine (10.1016/j.celrep.2018.03.042_bib15) 2016; 38 Chen (10.1016/j.celrep.2018.03.042_bib6) 2017; 541 Robinson (10.1016/j.celrep.2018.03.042_bib20) 2010; 26 Snyder (10.1016/j.celrep.2018.03.042_bib24) 2017; 14 Criscione (10.1016/j.celrep.2018.03.042_bib8) 2014; 15 Zhao (10.1016/j.celrep.2018.03.042_bib34) 2014; 15 Hugo (10.1016/j.celrep.2018.03.042_bib12) 2016; 165 Chiappinelli (10.1016/j.celrep.2018.03.042_bib7) 2015; 162 Ochi (10.1016/j.celrep.2018.03.042_bib17) 2012; 122 Spranger (10.1016/j.celrep.2018.03.042_bib25) 2015; 523 Bao (10.1016/j.celrep.2018.03.042_bib2) 2015; 6
References_xml	– volume: 33 start-page: 445 year: 2015 end-page: 474 ident: bib31 article-title: Innate immune recognition of cancer publication-title: Annu. Rev. Immunol. – volume: 523 start-page: 231 year: 2015 end-page: 235 ident: bib25 article-title: Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity publication-title: Nature – volume: 2 start-page: e92102 year: 2017 ident: bib1 article-title: Transcriptional dissection of melanoma identifies a high-risk subtype underlying TP53 family genes and epigenome deregulation publication-title: JCI Insight – volume: 11 start-page: R25 year: 2010 ident: bib19 article-title: A scaling normalization method for differential expression analysis of RNA-seq data publication-title: Genome Biol. – volume: 6 start-page: 11 year: 2015 ident: bib2 article-title: Repbase Update, a database of repetitive elements in eukaryotic genomes publication-title: Mob. DNA – volume: 15 start-page: 419 year: 2014 ident: bib34 article-title: Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling publication-title: BMC Genomics – volume: 112 start-page: 15148 year: 2015 end-page: 15153 ident: bib3 article-title: Pericentromeric satellite repeat expansions through RNA-derived DNA intermediates in cancer publication-title: Proc. Natl. Acad. Sci. U S A – volume: 23 start-page: 99 year: 2013 end-page: 108 ident: bib4 article-title: Heterochromatin instability in cancer: from the Barr body to satellites and the nuclear periphery publication-title: Semin. Cancer Biol. – volume: 160 start-page: 48 year: 2015 end-page: 61 ident: bib21 article-title: Molecular and genetic properties of tumors associated with local immune cytolytic activity publication-title: Cell – volume: 3 start-page: e3 year: 2004 ident: bib23 article-title: Linear models and empirical bayes methods for assessing differential expression in microarray experiments publication-title: Stat. Appl. Genet. Mol. Biol. – volume: 14 start-page: e1002309 year: 2017 ident: bib24 article-title: Contribution of systemic and somatic factors to clinical response and resistance to PD-L1 blockade in urothelial cancer: an exploratory multi-omic analysis publication-title: PLoS Med. – volume: 43 start-page: e47 year: 2015 ident: bib18 article-title: limma powers differential expression analyses for RNA-sequencing and microarray studies publication-title: Nucleic Acids Res. – volume: 112 start-page: 15154 year: 2015 end-page: 15159 ident: bib28 article-title: Distinguishing the immunostimulatory properties of noncoding RNAs expressed in cancer cells publication-title: Proc. Natl. Acad. Sci. U S A – volume: 111 start-page: 5054 year: 2014 end-page: 5059 ident: bib11 article-title: Quantitative theory of entropic forces acting on constrained nucleotide sequences applied to viruses publication-title: Proc. Natl. Acad. Sci. U S A – volume: 30 start-page: 64 year: 2016 end-page: 77 ident: bib32 article-title: p53 genes function to restrain mobile elements publication-title: Genes Dev. – volume: 110 start-page: E89 year: 2013 end-page: E98 ident: bib14 article-title: p53 cooperates with DNA methylation and a suicidal interferon response to maintain epigenetic silencing of repeats and noncoding RNAs publication-title: Proc. Natl. Acad. Sci. U S A – volume: 331 start-page: 593 year: 2011 end-page: 596 ident: bib29 article-title: Aberrant overexpression of satellite repeats in pancreatic and other epithelial cancers publication-title: Science – volume: 15 start-page: R29 year: 2014 ident: bib13 article-title: voom: precision weights unlock linear model analysis tools for RNA-seq read counts publication-title: Genome Biol. – year: 2017 ident: bib5 article-title: Evolutionary constraints on coding sequences at the nucleotidic level: a statistical physics approach publication-title: Proceedings of the XXth Evolutionary Biology Meeting, Marseilles – volume: 1 start-page: 163 year: 2017 end-page: 184 ident: bib16 article-title: Noncoding RNAs in cancer development publication-title: Annu. Rev. Cancer Biol. – volume: 38 start-page: 53 year: 2017 end-page: 65 ident: bib30 article-title: Sequence-specific sensing of nucleic acids publication-title: Trends Immunol. – volume: 162 start-page: 974 year: 2015 end-page: 986 ident: bib7 article-title: Inhibiting DNA methylation causes an interferon response in cancer via dsRNA including endogenous retroviruses publication-title: Cell – volume: 165 start-page: 35 year: 2016 end-page: 44 ident: bib12 article-title: Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma publication-title: Cell – volume: 2 start-page: e91078 year: 2017 ident: bib9 article-title: Diverse repetitive element RNA expression defines epigenetic and immunologic features of colon cancer publication-title: JCI Insight – volume: 20 start-page: 195 year: 2014 end-page: 202 ident: bib33 article-title: Pancreatic cancer, inflammation, and microbiome publication-title: Cancer J. – volume: 22 start-page: 1540 year: 2006 end-page: 1542 ident: bib26 article-title: Pvclust: an R package for assessing the uncertainty in hierarchical clustering publication-title: Bioinformatics – volume: 38 start-page: 508 year: 2016 end-page: 513 ident: bib15 article-title: P53 and the defenses against genome instability caused by transposons and repetitive elements publication-title: BioEssays – volume: 541 start-page: 321 year: 2017 end-page: 330 ident: bib6 article-title: Elements of cancer immunity and the cancer-immune set point publication-title: Nature – volume: 122 start-page: 4118 year: 2012 end-page: 4129 ident: bib17 article-title: Toll-like receptor 7 regulates pancreatic carcinogenesis in mice and humans publication-title: J. Clin. Invest. – volume: 550 start-page: 124 year: 2017 end-page: 127 ident: bib27 article-title: CG dinucleotide suppression enables antiviral defence targeting non-self RNA publication-title: Nature – volume: 26 start-page: 139 year: 2010 end-page: 140 ident: bib20 article-title: edgeR: a Bioconductor package for differential expression analysis of digital gene expression data publication-title: Bioinformatics – volume: 15 start-page: 583 year: 2014 ident: bib8 article-title: Transcriptional landscape of repetitive elements in normal and cancer human cells publication-title: BMC Genomics – volume: 162 start-page: 961 year: 2015 end-page: 973 ident: bib22 article-title: DNA-demethylating agents target colorectal cancer cells by inducing viral mimicry by endogenous transcripts publication-title: Cell – volume: 1 start-page: 137 year: 2017 end-page: 142 ident: bib10 article-title: Innate immune driven evolution via immunostimulatory RNA: viruses that mimic hosts, tumors that mimic viruses publication-title: Curr. Opin. Syst. Biol. – volume: 2 start-page: e91078 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib9 article-title: Diverse repetitive element RNA expression defines epigenetic and immunologic features of colon cancer publication-title: JCI Insight doi: 10.1172/jci.insight.91078 – volume: 22 start-page: 1540 year: 2006 ident: 10.1016/j.celrep.2018.03.042_bib26 article-title: Pvclust: an R package for assessing the uncertainty in hierarchical clustering publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl117 – volume: 15 start-page: R29 year: 2014 ident: 10.1016/j.celrep.2018.03.042_bib13 article-title: voom: precision weights unlock linear model analysis tools for RNA-seq read counts publication-title: Genome Biol. doi: 10.1186/gb-2014-15-2-r29 – volume: 33 start-page: 445 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib31 article-title: Innate immune recognition of cancer publication-title: Annu. Rev. Immunol. doi: 10.1146/annurev-immunol-032414-112043 – volume: 20 start-page: 195 year: 2014 ident: 10.1016/j.celrep.2018.03.042_bib33 article-title: Pancreatic cancer, inflammation, and microbiome publication-title: Cancer J. doi: 10.1097/PPO.0000000000000045 – year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib5 article-title: Evolutionary constraints on coding sequences at the nucleotidic level: a statistical physics approach publication-title: Proceedings of the XXth Evolutionary Biology Meeting, Marseilles – volume: 160 start-page: 48 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib21 article-title: Molecular and genetic properties of tumors associated with local immune cytolytic activity publication-title: Cell doi: 10.1016/j.cell.2014.12.033 – volume: 2 start-page: e92102 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib1 article-title: Transcriptional dissection of melanoma identifies a high-risk subtype underlying TP53 family genes and epigenome deregulation publication-title: JCI Insight doi: 10.1172/jci.insight.92102 – volume: 165 start-page: 35 year: 2016 ident: 10.1016/j.celrep.2018.03.042_bib12 article-title: Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma publication-title: Cell doi: 10.1016/j.cell.2016.02.065 – volume: 38 start-page: 508 year: 2016 ident: 10.1016/j.celrep.2018.03.042_bib15 article-title: P53 and the defenses against genome instability caused by transposons and repetitive elements publication-title: BioEssays doi: 10.1002/bies.201600031 – volume: 112 start-page: 15148 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib3 article-title: Pericentromeric satellite repeat expansions through RNA-derived DNA intermediates in cancer publication-title: Proc. Natl. Acad. Sci. U S A doi: 10.1073/pnas.1518008112 – volume: 26 start-page: 139 year: 2010 ident: 10.1016/j.celrep.2018.03.042_bib20 article-title: edgeR: a Bioconductor package for differential expression analysis of digital gene expression data publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp616 – volume: 1 start-page: 163 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib16 article-title: Noncoding RNAs in cancer development publication-title: Annu. Rev. Cancer Biol. doi: 10.1146/annurev-cancerbio-050216-034443 – volume: 122 start-page: 4118 year: 2012 ident: 10.1016/j.celrep.2018.03.042_bib17 article-title: Toll-like receptor 7 regulates pancreatic carcinogenesis in mice and humans publication-title: J. Clin. Invest. doi: 10.1172/JCI63606 – volume: 11 start-page: R25 year: 2010 ident: 10.1016/j.celrep.2018.03.042_bib19 article-title: A scaling normalization method for differential expression analysis of RNA-seq data publication-title: Genome Biol. doi: 10.1186/gb-2010-11-3-r25 – volume: 14 start-page: e1002309 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib24 article-title: Contribution of systemic and somatic factors to clinical response and resistance to PD-L1 blockade in urothelial cancer: an exploratory multi-omic analysis publication-title: PLoS Med. doi: 10.1371/journal.pmed.1002309 – volume: 112 start-page: 15154 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib28 article-title: Distinguishing the immunostimulatory properties of noncoding RNAs expressed in cancer cells publication-title: Proc. Natl. Acad. Sci. U S A doi: 10.1073/pnas.1517584112 – volume: 111 start-page: 5054 year: 2014 ident: 10.1016/j.celrep.2018.03.042_bib11 article-title: Quantitative theory of entropic forces acting on constrained nucleotide sequences applied to viruses publication-title: Proc. Natl. Acad. Sci. U S A doi: 10.1073/pnas.1402285111 – volume: 110 start-page: E89 year: 2013 ident: 10.1016/j.celrep.2018.03.042_bib14 article-title: p53 cooperates with DNA methylation and a suicidal interferon response to maintain epigenetic silencing of repeats and noncoding RNAs publication-title: Proc. Natl. Acad. Sci. U S A doi: 10.1073/pnas.1216922110 – volume: 15 start-page: 419 year: 2014 ident: 10.1016/j.celrep.2018.03.042_bib34 article-title: Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling publication-title: BMC Genomics doi: 10.1186/1471-2164-15-419 – volume: 162 start-page: 974 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib7 article-title: Inhibiting DNA methylation causes an interferon response in cancer via dsRNA including endogenous retroviruses publication-title: Cell doi: 10.1016/j.cell.2015.07.011 – volume: 550 start-page: 124 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib27 article-title: CG dinucleotide suppression enables antiviral defence targeting non-self RNA publication-title: Nature doi: 10.1038/nature24039 – volume: 331 start-page: 593 year: 2011 ident: 10.1016/j.celrep.2018.03.042_bib29 article-title: Aberrant overexpression of satellite repeats in pancreatic and other epithelial cancers publication-title: Science doi: 10.1126/science.1200801 – volume: 30 start-page: 64 year: 2016 ident: 10.1016/j.celrep.2018.03.042_bib32 article-title: p53 genes function to restrain mobile elements publication-title: Genes Dev. doi: 10.1101/gad.266098.115 – volume: 523 start-page: 231 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib25 article-title: Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity publication-title: Nature doi: 10.1038/nature14404 – volume: 23 start-page: 99 year: 2013 ident: 10.1016/j.celrep.2018.03.042_bib4 article-title: Heterochromatin instability in cancer: from the Barr body to satellites and the nuclear periphery publication-title: Semin. Cancer Biol. doi: 10.1016/j.semcancer.2012.06.008 – volume: 1 start-page: 137 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib10 article-title: Innate immune driven evolution via immunostimulatory RNA: viruses that mimic hosts, tumors that mimic viruses publication-title: Curr. Opin. Syst. Biol. doi: 10.1016/j.coisb.2016.12.008 – volume: 38 start-page: 53 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib30 article-title: Sequence-specific sensing of nucleic acids publication-title: Trends Immunol. doi: 10.1016/j.it.2016.10.006 – volume: 162 start-page: 961 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib22 article-title: DNA-demethylating agents target colorectal cancer cells by inducing viral mimicry by endogenous transcripts publication-title: Cell doi: 10.1016/j.cell.2015.07.056 – volume: 6 start-page: 11 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib2 article-title: Repbase Update, a database of repetitive elements in eukaryotic genomes publication-title: Mob. DNA doi: 10.1186/s13100-015-0041-9 – volume: 541 start-page: 321 year: 2017 ident: 10.1016/j.celrep.2018.03.042_bib6 article-title: Elements of cancer immunity and the cancer-immune set point publication-title: Nature doi: 10.1038/nature21349 – volume: 43 start-page: e47 year: 2015 ident: 10.1016/j.celrep.2018.03.042_bib18 article-title: limma powers differential expression analyses for RNA-sequencing and microarray studies publication-title: Nucleic Acids Res. doi: 10.1093/nar/gkv007 – volume: 15 start-page: 583 year: 2014 ident: 10.1016/j.celrep.2018.03.042_bib8 article-title: Transcriptional landscape of repetitive elements in normal and cancer human cells publication-title: BMC Genomics doi: 10.1186/1471-2164-15-583 – volume: 3 start-page: e3 year: 2004 ident: 10.1016/j.celrep.2018.03.042_bib23 article-title: Linear models and empirical bayes methods for assessing differential expression in microarray experiments publication-title: Stat. Appl. Genet. Mol. Biol. doi: 10.2202/1544-6115.1027
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Snippet	It has been posited that anti-tumoral innate activation is driven by derepression of endogenous repeats. We compared RNA sequencing protocols to assess repeat...
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SubjectTerms	Antibodies, Monoclonal - therapeutic use cancer immunity Cluster Analysis Endogenous Retroviruses - metabolism ERV HSATII Humans Immunotherapy innate immunity Kaplan-Meier Estimate Long Interspersed Nucleotide Elements - genetics microenvironment Neoplasms - genetics Neoplasms - mortality Neoplasms - therapy repetitive elements Repetitive Sequences, Nucleic Acid - genetics RNA-seq Sequence Analysis, RNA T-Lymphocyte Subsets - cytology T-Lymphocyte Subsets - metabolism Transcriptome
Title	Global Cancer Transcriptome Quantifies Repeat Element Polarization between Immunotherapy Responsive and T Cell Suppressive Classes
URI	https://dx.doi.org/10.1016/j.celrep.2018.03.042 https://www.ncbi.nlm.nih.gov/pubmed/29642008 https://www.proquest.com/docview/2024465927 https://pubmed.ncbi.nlm.nih.gov/PMC6016853 https://doaj.org/article/c5d5b8b3bfdf4f46b381759f75fadf67
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