Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
Open accessAbstract
To provide a detailed analysis of the molecular components and underlying mechanisms associated with ovarian cancer, we performed a comprehensive mass-spectrometry-based proteomic characterization of 174 ovarian tumors previously analyzed by The Cancer Genome Atlas (TCGA), of which 169 were high-grade serous carcinomas (HGSCs). Integrating our proteomic measurements with the genomic data yielded a number of insights into disease, such as how different copy-number alternations influence the proteome, the proteins associated with chromosomal instability, the sets of signaling pathways that diverse genome rearrangements converge on, and the ones most associated with short overall survival. Specific protein acetylations associated with homologous recombination deficiency suggest a potential means for stratifying patients for therapy. In addition to providing a valuable resource, these findings provide a view of how the somatic genome drives the cancer proteome and associations between protein and post-translational modification levels and clinical outcomes in HGSC. VIDEO ABSTRACT.
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CPTAC applied standards and workflows to tumours previously genomically characterized by The Cancer Genome Atlas, pioneered the integration of proteomics with genomics to produce a more unified and comprehensive understanding of cancer biology, and implemented its transition into cancer clinical research studies.
“CPTAC applied these standards and workflows to tumours previously genomically characterized by The Cancer Genome Atlas. In doing so, CPTAC pioneered the integration of proteomics with genomics (i.e., proteogenomics) to produce a more unified and comprehensive understanding of cancer biology and implemented its transition into cancer clinical research studies96,104,105.”
From A high-stringency blueprint of the human proteome (2020) · cites this paper as [105]
The flagship efforts of the Cancer Proteomics Consortium, CPTAC, have brought targeted proteomics and proteogenomics into regular use and produced major studies on ovarian, breast, and colorectal cancer.
“The flagship efforts of the Cancer Proteomics Consortium, CPTAC, have brought targeted proteomics and proteogenomics into regular use and produced major studies on ovarian ( 10 ), breast ( 11 ), and colorectal cancer ( 12 ).”
From The Human Proteoform Project: Defining the human proteome (2021) · cites this paper as [10]
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Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590 · see citing works
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works
Integrated genomic analyses of ovarian carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/hvp3-wg08 · Cited by 7,927 · see citing works
Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy
Farmer, H., McCabe, N., Lord, C. J., Tutt, A. N. J., Johnson, D. A., Richardson, T. B., Santarosa, M., Dillon, K. J., Hickson, I., Knights, C., et al. (2005) · Nature · doi:10.1038/nature03445 · Cited by 6,683 · see citing works
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401 · see citing works
Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
Vogel, C., & Marcotte, E. M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3185 · Cited by 4,195 · see citing works
Comprehensive genomic characterization of squamous cell lung cancers
The Cancer Genome Atlas Research Network (2012) · Nature · doi:10.1038/nature11404 · Cited by 3,994 · see citing works
Proteogenomics connects somatic mutations to signalling in breast cancer
CPTAC, N., Mertins, P., Mani, D. R., Ruggles, K. V., Gillette, M. A., Clauser, K. R., Wang, P., Wang, X., Qiao, J. W., Cao, S., et al. (2016) · Nature · doi:10.1038/nature18003 · Cited by 1,676 · see citing works
Self-citationProteogenomic characterization of human colon and rectal cancer
CPTAC, T. N., Zhang, B., Wang, J., Wang, X., Zhu, J., Liu, Q., Shi, Z., Chambers, M. C., Zimmerman, L. J., Shaddox, K. F., et al. (2014) · Nature · doi:10.1038/nature13438 · Cited by 1,462 · see citing works
Self-citationLu, P., Vogel, C., Wang, R., Yao, X., & Marcotte, E. M. (2007) · Nature Biotechnology · doi:10.1038/nbt1270 · Cited by 1,139 · see citing works
Prognostically relevant gene signatures of high-grade serous ovarian carcinoma
Verhaak, R. G. W., Tamayo, P., Yang, J.-Y., Hubbard, D., Zhang, H., Creighton, C. J., Fereday, S., Lawrence, M. S., Carter, S. L., Mermel, C. H., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci65833 · Cited by 574 · see citing works
Self-citationMarguerat, S., Schmidt, A., Codlin, S., Chen, W., Aebersold, R., & Bähler, J. (2012) · Cell · doi:10.1016/j.cell.2012.09.019 · Cited by 571 · see citing works
Acetylation limits 53BP1 association with damaged chromatin to promote homologous recombination
Tang, J., Cho, N. W., Cui, G., Manion, E. M., Shanbhag, N. M., Botuyan, M. V., Mer, G., & Greenberg, R. A. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2499 · Cited by 521 · see citing works
Kislinger, T., Cox, B., Kannan, A., Chung, C., Hu, P., Ignatchenko, A., Scott, M. S., Gramolini, A. O., Morris, Q., Hallett, M. T., et al. (2006) · Cell · doi:10.1016/j.cell.2006.01.044 · Cited by 482 · see citing works
Dynamic profiling of the protein life cycle in response to pathogens
Jovanovic, M., Rooney, M. S., Mertins, P., Przybylski, D., Chevrier, N., Satija, R., Rodriguez, E. H., Fields, A. P., Schwartz, S., Raychowdhury, R., et al. (2015) · Science · doi:10.1126/science.1259038 · Cited by 460 · see citing works
Self-citationGenomewide characterization of non-polyadenylated RNAs
Yang, L. C., Duff, M. O., Graveley, B. R., Carmichael, G., & Chen, L. (2011) · Genome biology · doi:10.1186/gb-2011-12-2-r16 · Cited by 423 · see citing works
Self-citationMertins, P., Yang, F., Liu, T., Mani, D. R., Petyuk, V., Gillette, M. A., Clauser, K. R., Qiao, J., Gritsenko, M. A., Moore, R. J., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.036392 · Cited by 407 · see citing works
Self-citationVariation and genetic control of protein abundance in humans
Wu, L., Candille, S. I., Choi, Y., Xie, D., Jiang, L., Li-Pook-Than, J., Tang, H., & Snyder, M. (2013) · Nature · doi:10.1038/nature12223 · Cited by 364 · see citing works
Self-citationCollins, B. C., Gillet, L. C., Rosenberger, G., Röst, H. L., Vichalkovski, A., Gstaiger, M., & Aebersold, R. (2013) · Nature Methods · doi:10.1038/nmeth.2703 · Cited by 314 · see citing works
Hematogenous Metastasis of Ovarian Cancer: Rethinking Mode of Spread
Pradeep, S., Kim, S. W., Wu, S. Y., Nishimura, M., Chaluvally–Raghavan, P., Miyake, T. M., Pecot, C. V., Kim, S.-J., Choi, H. J., Bischoff, F. Z., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.05.002 · Cited by 306 · see citing works
Mcellin, B. M., Camacho, C. V., Mukherjee, B., Hahm, B., Tomimatsu, N., Bachoo, R. M., & Burma, S. (2010) · Cancer Research · doi:10.1158/0008-5472.can-09-4295 · Cited by 230 · see citing works
Modesitt, S. C., Sill, M. W., Hoffman, J. S., & Bender, D. (2008) · Gynecologic Oncology · doi:10.1016/j.ygyno.2008.01.009 · Cited by 225 · see citing works
Coupling and coordination in gene expression processes: a systems biology view
Komili, S., & Silver, P. A. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2223 · Cited by 218 · see citing works
Kuo, K., Guan, B., Feng, Y., Mao, T., Chen, X., Jinawath, N., Wang, Y., Kurman, R. J., Shih, I., & Wang, T. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-3913 · Cited by 196 · see citing works
Self-citationThe clinical impact of deficiency in DNA non-homologous end-joining
Woodbine, L. J., Gennery, A. R., & Jeggo, P. A. (2014) · DNA repair · doi:10.1016/j.dnarep.2014.02.011 · Cited by 176 · see citing works
Molecular Alterations of TP53 are a Defining Feature of Ovarian High-Grade Serous Carcinoma
VANG, R. S., Levine, D. A., Soslow, R. A., Zaloudek, C. J., Shih, I., & Kurman, R. J. (2015) · International Journal of Gynecological Pathology · doi:10.1097/pgp.0000000000000207 · Cited by 171 · see citing works
Self-citationMammalian DNA repair: HATs and HDACs make their mark through histone acetylation
Gong, F., & Miller, K. M. (2013) · Mutation research. Fundamental and molecular mechanisms of mutagenesis · doi:10.1016/j.mrfmmm.2013.07.002 · Cited by 171 · see citing works
MacKay, H. J., Hirte, H. W., Colgan, T. J., Covens, A., MacAlpine, K., Grenci, P., Wang, L. E., Mason, J., Pham, P.-A., Tsao, M., et al. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.02.047 · Cited by 146 · see citing works
Integrated genomic analyses of ovarian carcinoma
The Cancer Genome Atlas Research Network (2011) · Nature · doi:10.1038/nature10166 · Cited by 129 · see citing works
Creighton, C. J., Hernández-Herrera, A., Jacobsen, A., Levine, D. A., Mankoo, P. K., Schultz, N. D., Du, Y., Zhang, Y., Larsson, E., Sheridan, R., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034546 · Cited by 127 · see citing works
Self-citationLiu, J. F., & Matulonis, U. A. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-1312 · Cited by 124 · see citing works
Zhang, B., Li, H., Riggins, R. B., Zhan, M., Xuan, J., Zhang, Z., Hoffman, E. P., Clarke, R. C., & Wang, Y. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn660 · Cited by 121 · see citing works
Self-citationRuggles, K. V., Tang, Z., Wang, X., Grover, H., Askenazi, M., Teubl, J., Cao, S., McLellan, M. D., Clauser, K. R., Tabb, D. L., et al. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m115.056226 · Cited by 118 · see citing works
Self-citationMielcarek, M., Zielonka, D., Carnemolla, A., Marcinkowski, T., & Guidez, F. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00042 · Cited by 111 · see citing works
Fanjul‐Fernández, M., Quesada, V., Cabanillas, R., Cadiñanos, J., Fontanil, T., Obaya, Á. J., Ramsay, A. J., Llorente, J. L., Astudillo, A., Cal, S., et al. (2013) · Nature Communications · doi:10.1038/ncomms3531 · Cited by 89 · see citing works
Dizon, D. S., Damstrup, L., Finkler, N. J., Lassen, U., Celano, P., Glasspool, R. M., Crowley, E. M., Lichenstein, H. S., Knoblach, P., & Penson, R. T. (2012) · International Journal of Gynecological Cancer · doi:10.1097/igc.0b013e31825736fd · Cited by 86 · see citing works
HDAC1, a Histone Deacetylase, Forms a Complex with Hus1 and Rad9, Two G2/M Checkpoint Rad Proteins
Cai, R. L., Yan‐Neale, Y., Cueto, M. A., Xu, H. W., & Cohen, D. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m000168200 · Cited by 74 · see citing works
Woo, S., Cha, S. W., Na, S., Guest, C. C., Liu, T., Smith, R. D., Rodland, K., Payne, S., & Bafna, V. (2014) · PROTEOMICS · doi:10.1002/pmic.201400206 · Cited by 67 · see citing works
Self-citationAn essential role for Ran GTPase in epithelial ovarian cancer cell survival
Barrès, V., Ouellet, V., Lafontaine, J., Tonin, P. N., Provencher, D. M., & Mes‐Masson, A. (2010) · Molecular Cancer · doi:10.1186/1476-4598-9-272 · Cited by 66 · see citing works
Predicting time to ovarian carcinoma recurrence using protein markers
Yang, J.-Y., Yoshihara, K., Tanaka, K., Hatae, M., Masuzaki, H., Itamochi, H., Takano, M., Ushijima, K., Tanyi, J. L., Coukos, G., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci68509 · Cited by 65 · see citing works
Critical molecular abnormalities in high-grade serous carcinoma of the ovary
Köbel, M., Huntsman, D. D., & Gilks, C. B. (2008) · Expert Reviews in Molecular Medicine · doi:10.1017/s146239940800077x · Cited by 58 · see citing works
Meng, H., Tian, L., Zhou, J., Li, Z., Jiao, X., Li, W. W., Plomann, M., Xu, Z., Lisanti, M. P., Wang, C., et al. (2011) · Cell Cycle · doi:10.4161/cc.10.1.14243 · Cited by 41 · see citing works
Self-citationPredicting time to ovarian carcinoma recurrence using protein markers
Yang, J.-Y., Yoshihara, K., Tanaka, K., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci74035 · Cited by 40 · see citing works
Yu, G., Zhang, B., Bova, G. S., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr183 · Cited by 34 · see citing works
Self-citationAntiangiogenic agents in gynecological cancer: State of art and perspectives of clinical research
Gadducci, A., Lanfredini, N., & Sergiampietri, C. (2015) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2015.05.009 · Cited by 31 · see citing works
High level of chromosomal aberration in ovarian cancer genome correlates with poor clinical outcome
Cope, L., Wu, R., Shih, I., & Wang, T. (2012) · Gynecologic Oncology · doi:10.1016/j.ygyno.2012.11.031 · Cited by 24 · see citing works
Self-citationOverexpression of RhoGDI2 correlates with the progression and prognosis of pancreatic carcinoma
YI, B., Zhang, Y., Zhu, D., et al. (2015) · Oncology Reports · doi:10.3892/or.2015.3707 · Cited by 19 · see citing works
Flagged first, then by citations
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Sorted by citations
mRNAs, proteins and the emerging principles of gene expression control
Buccitelli, C., & Selbach, M. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-0258-4 · Cited by 1,243 · see citing works
Integrative omics for health and disease
Karczewski, K. J., & Snyder, M. P. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2018.4 · Cited by 1,158 · see citing works
Self-citationIntegrated Proteogenomic Characterization of HBV-Related Hepatocellular Carcinoma
Gao, Q., Zhu, H., Dong, L., Shi, W., Chen, R., Song, Z., Huang, C., Li, J., Dong, X., Zhou, Y., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.052 · Cited by 1,096 · see citing works
Self-citationRETRACTED ARTICLE: Microbiome analyses of blood and tissues suggest cancer diagnostic approach
Poore, G. D., Kopylova, E., Zhu, Q., Carpenter, C., Fraraccio, S., Wandro, S., Kosciolek, T., Janssen, S., Metcalf, J., Song, S. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2095-1 · Cited by 989 · see citing works
RetractedProteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities
Vasaikar, S., Huang, C., Wang, X., Petyuk, V. A., Savage, S. R., Wen, B., Dou, Y., Zhang, Y., Shi, Z., Arshad, O. A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.03.030 · Cited by 799 · see citing works
Self-citationProteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma
Gillette, M. A., Satpathy, S., Cao, S., Dhanasekaran, S. M., Vasaikar, S. V., Krug, K., Petralia, F., Li, Y., Liang, W.-W., Reva, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.013 · Cited by 820 · see citing works
Self-citationIntegrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
Clark, D. J., Dhanasekaran, S. M., Petralia, F., Pan, J., Song, X., Hu, Y., da Veiga Leprevost, F., Reva, B., Lih, T.-S. M., Chang, H.-Y., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.007 · Cited by 730 · see citing works
Self-citationChakravarthy, A., Khan, L., Bensler, N. P., Bose, P., & De Carvalho, D. D. (2018) · Nature Communications · doi:10.1038/s41467-018-06654-8 · Cited by 656 · see citing works
Proteogenomic Characterization of Endometrial Carcinoma
Dou, Y., Kawaler, E. A., Cui Zhou, D., Gritsenko, M. A., Huang, C., Blumenberg, L., Karpova, A., Petyuk, V. A., Savage, S. R., Satpathy, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.01.026 · Cited by 485 · see citing works
Self-citationSingle-cell multiomics: technologies and data analysis methods
Lee, J., Hyeon, D. Y., & Hwang, D. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-020-0420-2 · Cited by 524 · see citing works
Chen, Y.-J., Roumeliotis, T. I., Chang, Y.-H., Chen, C.-T., Han, C.-L., Lin, M.-H., Chen, H.-W., Chang, G.-C., Chang, Y.-L., Wu, C.-T., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.012 · Cited by 382 · see citing works
Self-citationProteogenomic Characterization of Human Early-Onset Gastric Cancer
Mun, D.-G., Bhin, J., Kim, S., Kim, H., Jung, J. H., Jung, Y., Jang, Y. E., Park, J. M., Kim, H., Jung, Y., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2018.12.003 · Cited by 294 · see citing works
Self-citationIntegrative multi-omics approaches in cancer research: from biological networks to clinical subtypes
Heo, Y. J., Hwa, C., Lee, G.-H., Park, J.-M., & An, J.-Y. (2021) · Molecules and Cells · doi:10.14348/molcells.2021.0042 · Cited by 294 · see citing works
The Human Proteoform Project: Defining the human proteome
Smith, L. M., Agar, J. N., Chamot-Rooke, J., Danis, P. O., Ge, Y., Loo, J. A., Paša-Tolić, L., Tsybin, Y. O., Kelleher, N. L., & The Consortium for Top-Down Proteomics (2021) · Science Advances · doi:10.1126/sciadv.abk0734 · Cited by 242 · see citing works
Cancer proteogenomics: current impact and future prospects
Mani, D. R., Krug, K., Zhang, B., Satpathy, S., Clauser, K. R., Ding, L., Ellis, M., Gillette, M. A., & Carr, S. A. (2022) · Nature Reviews Cancer · doi:10.1038/s41568-022-00446-5 · Cited by 229 · see citing works
Self-citationA high-stringency blueprint of the human proteome
Adhikari, S., Nice, E. C., Deutsch, E. W., Lane, L., Omenn, G. S., Pennington, S. R., Paik, Y.-K., Overall, C. M., Corrales, F. J., Cristea, I. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19045-9 · Cited by 210 · see citing works
Self-citationClinical potential of mass spectrometry-based proteogenomics
Zhang, B., Whiteaker, J. R., Hoofnagle, A. N., Baird, G. S., Rodland, K. D., & Paulovich, A. G. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-018-0135-7 · Cited by 210 · see citing works
Self-citationA streamlined mass spectrometry–based proteomics workflow for large-scale FFPE tissue analysis
Coscia, F., Doll, S., Bech, J. M., Schweizer, L., Mund, A., Lengyel, E., Lindebjerg, J., Madsen, G. I., Moreira, J. M., & Mann, M. (2020) · The Journal of Pathology · doi:10.1002/path.5420 · Cited by 200 · see citing works
Pan-cancer analysis identifies tumor-specific antigens derived from transposable elements
Shah, N. M., Jang, H. J., Liang, Y., Maeng, J. H., Tzeng, S.-C., Wu, A., Basri, N. L., Qu, X., Fan, C., Li, A., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01349-3 · Cited by 175 · see citing works
Niu, M., Cho, J.-H., Kodali, K., Pagala, V., High, A. A., Wang, H., Wu, Z., Li, Y., Bi, W., Zhang, H., et al. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04415 · Cited by 118 · see citing works
Self-citationMcDermott, J. E., Arshad, O. A., Petyuk, V. A., Fu, Y., Gritsenko, M. A., Clauss, T. R., Moore, R. J., Schepmoes, A. A., Zhao, R., Monroe, M. E., et al. (2020) · Cell Reports Medicine · doi:10.1016/j.xcrm.2020.100004 · Cited by 97 · see citing works
Self-citationInterpretation of cancer mutations using a multiscale map of protein systems
Zheng, F., Kelly, M. R., Ramms, D. J., Heintschel, M. L., Tao, K., Tutuncuoglu, B., Lee, J. J., Ono, K., Foussard, H., Chen, M., et al. (2021) · Science · doi:10.1126/science.abf3067 · Cited by 81 · see citing works
Mieulet, V., Garnier, C., Kieffer, Y., Guilbert, T., Nemati, F., Marangoni, E., Renault, G., Chamming’s, F., Vincent-Salomon, A., & Mechta-Grigoriou, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-83685-0 · Cited by 79 · see citing works
A Review of Imputation Strategies for Isobaric Labeling-Based Shotgun Proteomics
Bramer, L. M., Irvahn, J., Piehowski, P. D., Rodland, K. D., & Webb-Robertson, B.-J. M. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00123 · Cited by 47 · see citing works
Self-citationTian, S., Zhan, D., Yu, Y., Wang, Y., Liu, M., Tan, S., Li, Y., Song, L., Qin, Z., Li, X., et al. (2023) · Genome Biology · doi:10.1186/s13059-023-03048-y · Cited by 43 · see citing works
Self-citationTeyssonnière, E. M., Trébulle, P., Muenzner, J., Loegler, V., Ludwig, D., Amari, F., Mülleder, M., Friedrich, A., Hou, J., Ralser, M., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319211121 · Cited by 40 · see citing works
Ressa, A., Bosdriesz, E., de Ligt, J., Mainardi, S., Maddalo, G., Prahallad, A., Jager, M., de la Fonteijne, L., Fitzpatrick, M., Groten, S., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra117.000486 · Cited by 17 · see citing works
Proteogenomic landscape of gastric adenocarcinoma peritoneal metastases
Zhao, S., Wang, R., Song, S., Hao, D., Han, G., Song, X., Zhang, J., Pizzi, M. P., Shanbhag, N., Futreal, A., et al. (2023) · iScience · doi:10.1016/j.isci.2023.106913 · Cited by 5 · see citing works
- Authors
- Zhang, H., Liu, T., Zhang, Z., Payne, S. H., Zhang, B., McDermott, J. E., Zhou, J.-Y., Petyuk, V. A., Chen, L., Ray, D., Sun, S., Yang, F., Chen, L., Wang, J., Shah, P., Cha, S. W., Aiyetan, P., Woo, S., Tian, Y., Gritsenko, M. A., Clauss, T. R., Choi, C., Monroe, M. E., Thomas, S., Nie, S., Wu, C., Moore, R. J., Yu, K.-H., Tabb, D. L., Fenyö, D., Bafna, V., Wang, Y., Rodriguez, H., Boja, E. S., Hiltke, T., Rivers, R. C., Sokoll, L., Zhu, H., Shih, I.-M., Cope, L., Pandey, A., Zhang, B., Snyder, M. P., Levine, D. A., Smith, R. D., Chan, D. W., Rodland, K. D., Carr, S. A., Gillette, M. A., Klauser, K. R., Kuhn, E., Mani, D. R., Mertins, P., Ketchum, K. A., Thangudu, R., Cai, S., Oberti, M., Paulovich, A. G., Whiteaker, J. R., Edwards, N. J., McGarvey, P. B., Madhavan, S., Wang, P., Chan, D. W., Pandey, A., Shih, I.-M., Zhang, H., Zhang, Z., Zhu, H., Cope, L., Whiteley, G. A., Skates, S. J., White, F. M., Levine, D. A., Boja, E. S., Kinsinger, C. R., Hiltke, T., Mesri, M., Rivers, R. C., Rodriguez, H., Shaw, K. M., Stein, S. E., Fenyo, D., Liu, T., McDermott, J. E., Payne, S. H., Rodland, K. D., Smith, R. D., Rudnick, P., Snyder, M., Zhao, Y., Chen, X., Ransohoff, D. F., Hoofnagle, A. N., Liebler, D. C., Sanders, M. E., Shi, Z., Slebos, R. J. C., Tabb, D. L., Zhang, B., Zimmerman, L. J., Wang, Y., Davies, S. R., Ding, L., Ellis, M. J. C., & Townsend, R. R.
- Affiliations
- Vanderbilt University (US)
- Pacific Northwest National Laboratory (US)
- Johns Hopkins Medicine (US)
- University of California San Diego (US)
- Stanford Medicine (US)
- National Cancer Institute (US)
- Virginia Tech (US)
- NYU Langone Health (US)
- Johns Hopkins University (US)
- ORCID
- Zhang, Bai
- Petyuk, Vladislav A.
- Chen, Li
- Ray, Debjit
- Sun, Shisheng
- Yang, Feng
- Chen, Lijun
- Wang, Jing
- Cha, Seong Won
- Aiyetan, Paul
- Tian, Yuan
- Gritsenko, Marina A.
- Monroe, Matthew E.
- Thomas, Stefani
- Nie, Song
- Moore, Ronald J.
- Yu, Kun-Hsing
- Bafna, Vineet
- Sokoll, Lori
- Carr, Steven A.
- Gillette, Michael A.
- Kuhn, Eric
- Mani, D.R.
- Mertins, Philipp
- Ketchum, Karen A.
- Thangudu, Ratna
- Cai, Shuang
- Oberti, Mauricio
- Paulovich, Amanda G.
- Whiteaker, Jeffrey R.
- Edwards, Nathan J.
- McGarvey, Peter B.
- Madhavan, Subha
- Wang, Pei
- Skates, Steven J.
- White, Forest M.
- Kinsinger, Christopher R.
- Mesri, Mehdi
- Stein, Stephen E.
- Rudnick, Paul
- Zhao, Yingming
- Chen, Xian
- Ransohoff, David F.
- Hoofnagle, Andrew N.
- Liebler, Daniel C.
- Sanders, Melinda E.
- Shi, Zhiao
- Slebos, Robbert J.C.
- Zimmerman, Lisa J.
- Davies, Sherri R.
- Ding, Li
- Ellis, Matthew J.C.
- Townsend, R. Reid
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 166
- Issue
- 3
- Pages
- 755-765
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4967013
- OpenAlex
- W2464880876
- Cited by
- 1,029
- References
- 47
- Citations by year
- 2026: 72 · 2025: 103 · 2024: 100 · 2023: 106 · 2022: 90 · 2021: 139 · 2020: 111 · 2019: 107 · 2018: 101 · 2017: 85 · 2016: 14
- FWCI
- 135.47
- Type
- journal article
- Language
- en
- Update notices
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Institutes of Health (P41GM103493)
- U.S. Department of Energy (DE-AC05-76RL01830)
- Battelle
- National Cancer Institute (U24CA160019, U24CA160036)
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Ovarian cancer diagnosis and treatment
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Keywords
- high-grade serous ovarian cancer, proteogenomics, tumor proteome, copy number alterations, chromosomal instability, genome rearrangement, signaling pathways, overall survival, protein acetylation, homologous recombination deficiency, post-translational modification, patient stratification
- MeSH terms
- Acetylation, DNA Repair, DNA, Neoplasm, Female, Humans, Neoplasm Proteins, Ovarian Neoplasms, Phosphoproteins, Protein Processing, Post-Translational, Mass Spectrometry, Survival Analysis, Neoplasms, Cystic, Mucinous, and Serous, Gene Dosage, Proteome, Chromosomal Instability
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