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Integrated proteogenomic characterization of human high-grade serous ovarian cancer

Item Type:Article
Title:Integrated proteogenomic characterization of human high-grade serous ovarian cancer
Creators Name: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. and Rodland, K.D.
Abstract: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.
Keywords:Acetylation, Chromosomal Instability, DNA Repair, Neoplasm DNA, Gene Dosage, Mass Spectrometry, Neoplasm Proteins, Ovarian Neoplasms, Phosphoproteins, Post-Translational Protein Processing, Proteome, Survival Analysis
Source:Cell
ISSN:0092-8674
Publisher:Cell Press
Volume:166
Number:3
Page Range:755-765
Date:28 July 2016
Additional Information:Philipp Mertins is a CPTAC investigator.
Official Publication:https://doi.org/10.1016/j.cell.2016.05.069
PubMed:View item in PubMed

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