hccTAAb Atlas: An Integrated Knowledge Database for Tumor-Associated Autoantibodies in Hepatocellular Carcinoma

肝细胞癌 自身抗体 DNA甲基化 图谱 医学 计算生物学 情报检索 计算机科学 生物 癌症研究 蛋白质表达 免疫学 抗体 遗传学 基因表达 基因
作者
Tiandong Li,Peng Wang,Guiying Sun,Yuanlin Zou,Yifan Cheng,Wei Wang,Lu Yin,Jianxiang Shi,Keyan Wang,Qiang Zhang,Hua Ye
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:23 (2): 728-737
标识
DOI:10.1021/acs.jproteome.3c00579
摘要

Tumor-associated autoantibodies (TAAbs) have demonstrated potential as biomarkers for cancer detection. However, the understanding of their role in hepatocellular carcinoma (HCC) remains limited. In this study, we aimed to systematically collect and standardize information about these TAAbs and establish a comprehensive database as a platform for in-depth research. A total of 170 TAAbs were identified from published papers retrieved from PubMed, Web of Science, and Embase. Following normative reannotation, these TAAbs were referred to as 162 official symbols. The hccTAAb (tumor-associated autoantibodies in hepatocellular carcinoma) atlas was developed using the R Shiny framework and incorporating literature-based and multiomics data sets. This comprehensive online resource provides key information such as sensitivity, specificity, and additional details such as official symbols, official full names, UniProt, NCBI, HPA, neXtProt, and aliases through hyperlinks. Additionally, hccTAAb offers six analytical modules for visualizing expression profiles, survival analysis, immune infiltration, similarity analysis, DNA methylation, and DNA mutation analysis. Overall, the hccTAAb Atlas provides valuable insights into the mechanisms underlying TAAb and has the potential to enhance the diagnosis and treatment of HCC using autoantibodies. The hccTAAb Atlas is freely accessible at https://nscc.v.zzu.edu.cn/hccTAAb/.
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