@article{b771c722ad3e44e7bbe59e510a7b4a1e,
title = "Integrated Proteogenomic Characterization of HBV-Related Hepatocellular Carcinoma",
abstract = "Proteogenomic characterization of HBV-related hepatocellular carcinoma (HCC) using paired tumor and adjacent liver tissues identifies three subgroups with distinct features in metabolic reprogramming, microenvironment dysregulation, cell proliferation, and potential therapeutics.",
keywords = "AA signature, ALDOA, CTNNB1, hepaotcellular carcinoma, metabolism, neoantigen, prognosis, proteogenomics, proteomics",
author = "Qiang Gao and Hongwen Zhu and Liangqing Dong and Weiwei Shi and Ran Chen and Zhijian Song and Chen Huang and Junqiang Li and Xiaowei Dong and Yanting Zhou and Qian Liu and Lijie Ma and Xiaoying Wang and Jian Zhou and Yansheng Liu and Emily Boja and Robles, {Ana I.} and Weiping Ma and Pei Wang and Yize Li and Li Ding and Bo Wen and Bing Zhang and Henry Rodriguez and Daming Gao and Hu Zhou and Jia Fan",
note = "Funding Information: This work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (grants XDA12010202, XDA12030203, XDA12020364, and XDB19020203); the National Key Research and Development Program from the Ministry of Science and Technology of China (grants 2017YFC1700200, 2015CB964502); National Natural Science Foundation of China (grants 91859105, 81790253, and 91853130); Basic Research Project from Technology Commission of Shanghai Municipality (grant 17JC1402200); and National Science and Technology Major Project (grant 2017ZX10203208-004). We thank Shisheng Wang (West China Hospital, Sichuan University) for help in spectrum filtering in variant peptide identification and suggestion on data analysis. We thank Dayun Lu and Han He (Shanghai Institute of Materia Medica, Chinese Academy of Sciences) for help in proteomic sample preparation. We thank Mr. Peng Li and Ms. Kuai Liu (Origimed) for the assistance of bioinformatics analysis. This work was done under the auspices of a Memorandum of Understanding between the Shanghai Institute of Materia Medica, Chinese Academy of Science, Fudan University, and the U.S. National Cancer Institute's Office of Cancer Clinical Proteomics Research (Clinical Proteomic Tumor Analysis Consortium [CPTAC]). CPTAC collaborates with international organizations/institutions to accelerate the understanding of the molecular basis of cancer through the application of proteogenomics, standards development, and publicly available datasets. Conceptualization, J.F. H. Zhou, D.G. Q.G. and H.R.; Methodology, Q.G. H. Zhu, and L. Dong; Formal Analysis, H. Zhu, W.S. Z.S. C.H. B.W. W.M. Y. Li, Y. Liu, E.B. A.I.R. P.W. L. Ding, and B.Z.; Investigation, H. Zhu, L. Dong, R.C. L.M. X.W. Y.Z. and Q.L.; Resources, J.F. H. Zhou, D.G. Q.G. J.Z. J.L. and X.D.; Data Curation, Q.G. and H. Zhu; Writing, Q.G. H. Zhu, W.S. D.G. H. Zhou, and J.F.; Visualization, H. Zhu; Supervision, J.F. H. Zhou, D.G. Q.G. and H.R.; Funding Acquisition, J.F. H. Zhou, D.G. and Q.G. The authors declare no competing interests. Publisher Copyright: {\textcopyright} 2019 The Authors",
year = "2019",
month = oct,
day = "3",
doi = "10.1016/j.cell.2019.08.052",
language = "English",
volume = "179",
pages = "561--577.e22",
journal = "Cell",
issn = "0092-8674",
number = "2",
}