Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions

Xiaohua Xing; Yao Huang; Sen Wang; Minhui Chi; Yongyi Zeng; Lihong Chen; Ling Li; Jinhua Zeng; Minjie Lin; Xiao Han; Jingfeng Liu; Xiaolong Liu

doi:10.1016/j.dib.2015.08.036

Dataset for the quantitative proteomics analysis of the primary hepatocellular carcinoma with single and multiple lesions

Data Brief. 2015 Sep 8:5:226-40. doi: 10.1016/j.dib.2015.08.036. eCollection 2015 Dec.

Authors

Xiaohua Xing¹, Yao Huang², Sen Wang¹, Minhui Chi³, Yongyi Zeng³, Lihong Chen³, Ling Li³, Jinhua Zeng³, Minjie Lin¹, Xiao Han⁴, Jingfeng Liu³, Xiaolong Liu¹

Affiliations

¹ The Liver Center of Fujian Province, Fujian Medical University, Fuzhou 350025, People's Republic of China ; The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, People's Republic of China.
² Liver Disease Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350007, People's Republic of China.
³ The Liver Center of Fujian Province, Fujian Medical University, Fuzhou 350025, People's Republic of China ; The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, People's Republic of China ; Liver Disease Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350007, People's Republic of China.
⁴ Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, People's Republic of China.

Abstract

Hepatocellular Carcinoma (HCC) is one of the most common malignant tumor, which is causing the second leading cancer-related death worldwide. The tumor tissues and the adjacent noncancerous tissues obtained from HCC patients with single and multiple lesions were quantified using iTRAQ. A total of 5513 proteins (FDR of 1%) were identified which correspond to roughly 27% of the total liver proteome. And 107 and 330 proteins were dysregulated in HCC tissue with multiple lesions (MC group) and HCC tissue with a single lesion (SC group), compared with their noncancerous tissue (MN and SN group) respectively. Bioinformatics analysis (GO, KEGG and IPA) allowed these data to be organized into distinct categories. The data accompanying the manuscript on this approach (Xing et al., J. Proteomics (2015), http://dx.doi.org/10.1016/j.jprot.2015.08.007[1]) have been deposited to the iProX with identifier IPX00037601.