Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses id...
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Published in | Cell Vol. 179; no. 4; pp. 964 - 983.e31 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
31.10.2019
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Subjects | |
Online Access | Get full text |
ISSN | 0092-8674 1097-4172 1097-4172 |
DOI | 10.1016/j.cell.2019.10.007 |
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Abstract | To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology.
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•Integrated proteogenomic characterization in 103 ccRCC cases•Delineation of chromosomal translocation events leading to chromosome 3p loss•Tumor-specific proteomic/phosphoproteomic alterations unrevealed by mRNA analysis•Immune-based subtypes of ccRCC defined by mRNA, proteome, and phosphoproteome
Comprehensive proteogenomic characterization in 103 treatment-naive clear cell renal cell carcinoma patient samples highlights tumor-specific alterations at the proteomic level that are unrevealed by transcriptomic profiling and proposes a revised subtyping scheme based on integrated omics analysis. |
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AbstractList | To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology.
[Display omitted]
•Integrated proteogenomic characterization in 103 ccRCC cases•Delineation of chromosomal translocation events leading to chromosome 3p loss•Tumor-specific proteomic/phosphoproteomic alterations unrevealed by mRNA analysis•Immune-based subtypes of ccRCC defined by mRNA, proteome, and phosphoproteome
Comprehensive proteogenomic characterization in 103 treatment-naive clear cell renal cell carcinoma patient samples highlights tumor-specific alterations at the proteomic level that are unrevealed by transcriptomic profiling and proposes a revised subtyping scheme based on integrated omics analysis. To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology.To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology. To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology. To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology. To elucidate the deregulated functional modules that drive clear cell renal cell carcinoma (ccRCC), we performed comprehensive genomic, epigenomic, transcriptomic, proteomic, and phosphoproteomic characterization of treatment-naive ccRCC and paired normal adjacent tissue samples. Genomic analyses identified a distinct molecular subgroup associated with genomic instability. Integration of proteogenomic measurements uniquely identified protein dysregulation of cellular mechanisms impacted by genomic alterations, including oxidative phosphorylation-related metabolism, protein translation processes, and phospho-signaling modules. To assess the degree of immune infiltration in individual tumors, we identified microenvironment cell signatures that delineated four immune-based ccRCC subtypes characterized by distinct cellular pathways. This study reports a large-scale proteogenomic analysis of ccRCC to discern the functional impact of genomic alterations and provides evidence for rational treatment selection stemming from ccRCC pathobiology. Comprehensive proteogenomic characterization in 103 treatment-naive clear cell renal cell carcinoma patient samples highlights tumor-specific alterations at the proteomic level that are unrevealed by transcriptomic profiling and proposes a revised subtyping scheme based on integrated omics analysis. |
Author | Skelly, Tara Shi, Zhiao Chheda, Milan G. Hu, Yingwei Richey, Shannon Robles, Ana I. Elburn, Kim Castro, Patricia Ma, Shiyong Kong, Andy Rykunov, Dmitry Birger, Chet Smith, Richard D. Valley, Dana R. Ittmann, Michael M. Holloway, Kimberly Sokoll, Lori J. Zhang, Bing Tansil, Darlene Zhang, Zhen Vatanian, Negin Vasaikar, Suhas Li, Qing Kay Zhou, Daniel C. Chinnaiyan, Arul M. Velvulou, Uma Clark, David J. Modugno, Francesmary Tyner, Jeffrey W. Li, Kai Antczak, Andrzej McGee, John Hakimi, A. Ari Geiszler, Daniel Rodriguez, Henry Chan, Daniel W. Avtonomov, Dmitry M. Kim, Beom-Jun Eschbacher, Jennifer Cottingham, Sandra Hoadley, Katherine A. Sengupta, Sohini Wang, Liang-Bo Lubinski, Jan Petralia, Francesca Hariharan, Pushpa Smith, Michael Qi, Liqun Boca, Simina M. Perou, Amy M. Wang, Pei Wheeler, David Demir, Emek Mani, D.R. Reva, Boris Hiltke, Tara Lewis, Michael Omelchenko, Tatiana Westbrook, Thomas Cao, Song Cai, Shuang Petyuk, Vladislav A. Tognon, Cristina Wen, Bo Hilsenbeck, Sue Edwards, Nathan J. Teo, Guo Ci Hong, Runyu Liu, Hongwei Kalayci, Selim Mareedu |
AuthorAffiliation | 27 Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA 28 Department of Ophthalmology, Johns Hopkins University, Baltimore, MD 21231, USA 31 Department of Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA 2 Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA 23 Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 71-252, Poland 32 These authors contributed equally 6 Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA 20 Department of Urology, Poznań University of Medical Sciences, Szwajcarska 3, Poznań 61-285, Poland 19 Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA 15 Departments of Medicine and Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO 63110, USA 4 Department of Population Health Science and Policy, Icahn School of Medicine at Mo |
AuthorAffiliation_xml | – name: 4 Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – name: 17 Brady Urological Institute and Department of Urology, Johns Hopkins University, Baltimore, MD 21231, USA – name: 7 Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA – name: 30 Sema4, Stamford, CT 06902, USA – name: 26 Office of Cancer Clinical Proteomics Research, National Cancer Institute, Bethesda, MD 20892, USA – name: 12 Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, NY 10016, USA – name: 20 Department of Urology, Poznań University of Medical Sciences, Szwajcarska 3, Poznań 61-285, Poland – name: 11 Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA – name: 15 Departments of Medicine and Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO 63110, USA – name: 18 Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA – name: 1 Department of Pathology, Johns Hopkins University, Baltimore, MD 21231, USA – name: 16 Department of Biochemistry and Cellular Biology, Georgetown University, Washington, DC 20007, USA – name: 6 Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA – name: 29 Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA – name: 34 Lead Contact – name: 19 Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA – name: 8 Washington University School of Medicine, St. Louis, MO 63110, USA – name: 14 Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA – name: 28 Department of Ophthalmology, Johns Hopkins University, Baltimore, MD 21231, USA – name: 32 These authors contributed equally – name: 27 Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA – name: 2 Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA – name: 13 Department of Medicine, New York University School of Medicine, New York, NY 10016, USA – name: 21 Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA – name: 33 These authors contributed equally – name: 3 Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – name: 31 Department of Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA – name: 5 Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA – name: 24 International Institute for Molecular Oncology, Poznań 60-203, Poland – name: 9 Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA – name: 23 Department of Genetics and Pathology, Pomeranian Medical University, Szczecin 71-252, Poland – name: 10 Department of Translational Molecular Pathology, MD Anderson Cancer Center, Houston, TX 77030, USA – name: 25 Poznań University of Medical Sciences, Poznan 60-701, Poland – name: 22 Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31675502$$D View this record in MEDLINE/PubMed |
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Keywords | phosphoproteomics ccRCC renal carcinoma proteomics immune infiltration drug targets tumor microenvironment CPTAC proteogenomics chromosomal translocation |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 AUTHOR CONTRIBUTIONS Conceptualization, H.R., D.C., A.I.N., P.W., and H.Z.; Methodology, D.J.C. and L.C.; Software, F.P., J.P., X.S., Y.H., F.d.V.L., B.R., T.-S.M.L., H.-Y.C., W.M., C.H., A. Krek, Y.L., D.R., L.S.C., U.O., S.V., S.Y., S. Chowdhury, J.J., A. Kong, S.S., D.M.A., N.E., Z.Z., M.C., A.I.N., and P.W.; Validation, S.M.D., K.L.Q., and K.-C.C.; Formal Analysis, D.J.C., S.M.D., F.P., J.P., X.S., Y.H., B.R., T.-S.M.L., H.-Y.C., W.M., C.H., A. Krek, Y.L., D.R., L.S.C., U.O., S.V., Y.W., S.Y., S. Chowdhury, J.J., A. Kong, S.S., D.M.A., A. Colaprico, S. Cao, S. Kalayci, S.M., W.L., K.R., D.G., E.K., G.C.T., B.W., Y.Z., S. Keegan, K.L., F.C., N.E., A.I.N., P.W., and H.Z.; Investigation, D.J.C., L.C., M.S., K.-C.C., D.W.C., and H.Z.; Resources, Q.K.L., C.P.P., G.B., A.A., J.L., and M.T.; Data Curation, D.J.C., S.M.D., W.M., M.A.W., M.S., M.A., M.C., A.I.N., P.W., and H.Z.; Writing – Original Draft, D.J.C., A.I.N., P.W., and H.Z.; Writing – Review & Editing, all authors; Visualization, D.J.C., S.M.D., F.P., J.P., X.S., Y.H., B.R., T.-S.M.L., C.H., C.J.R., A. Krek, Y.L., D.R., U.O., S.V., M.A., A. Calinawan, Z.H.G., Y.Z., and M.C.; Supervision, D.J.C., S.M.D., C.J.R., P.M.P., X.S.C., C.P.P., A.A.H, G.B., J.H., A.A., T.O., J.L., M.W., W.M.L., J.Q., D.F., B.Z., L.D., E.S., A.M.C., Z.Z., G.S.O., D.W.C., A.I.N., P.W., and H.Z.; Project Administration, D.J.C., C.R.K., M.T., M.M., E.S.B., M.M., T.H., A.I.R., H.R., D.W.C., A.I.N., P.W., and H.Z.; Funding Acquisition, B.Z., L.D., D.F., E.S., A.M.C., Z.Z., D.W.C., A.I.N., P.W., and H.Z. |
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PublicationPlace_xml | – name: United States |
PublicationTitle | Cell |
PublicationTitleAlternate | Cell |
PublicationYear | 2019 |
Publisher | Elsevier Inc |
Publisher_xml | – name: Elsevier Inc |
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SubjectTerms | Adult Aged Aged, 80 and over Biomarkers, Tumor - genetics Biomarkers, Tumor - immunology Carcinoma, Renal Cell - genetics Carcinoma, Renal Cell - immunology Carcinoma, Renal Cell - pathology ccRCC chromosomal translocation CPTAC Disease-Free Survival drug targets Exome - genetics Exome Sequencing Female Gene Expression Regulation, Neoplastic - genetics genetic instability Genome, Human - genetics genomics Humans immune infiltration Male metabolism Middle Aged Neoplasm Proteins - genetics Neoplasm Proteins - immunology Oxidative Phosphorylation phosphoproteomics Phosphorylation - genetics Proteogenomics proteomics renal carcinoma renal cell carcinoma Signal Transduction - genetics Transcriptome - genetics Transcriptome - immunology transcriptomics translation (genetics) tumor microenvironment Tumor Microenvironment - genetics Tumor Microenvironment - immunology |
Title | Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma |
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