Public Datasets

Literature-based Data

The data of the literature can be obtained by clicking on the TAAb name in the TAAb information table (first column).

Submit your Data

hccTAAb Atlas allows for third-party data submission, which is crucial for keeping our data up-to-date. We strongly encourage users to upload yourself data by filling in the information below and submitting it. Your contribution to hccTAAb Atlas is greatly appreciated.

Submit your Data

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Database Introduction

hccTAAb Atlas is a comprehensive and accessible web-based resource that offers systematic knowledge on tumor-associated autoantibodies (TAAbs) in hepatocellular carcinoma (HCC) through a standardized processing pipeline. The hccTAAb Atlas provides detailed information about TAAbs and offers a range of functions, including expression analysis, survival analysis, correlation analysis, immune infiltration analysis, mutational landscape analysis, and DNA methylation analysis. This resource serves as a valuable platform for researchers and clinicians seeking to gain insights into the role of TAAbs in HCC.

What are Tumor-Associated Autoantibodies ?

Tumor-associated autoantibodies (TAAbs) are antibodies produced by the immune system in response to specific proteins expressed in tumor cells. They recognize and target proteins that are abnormal or modified in cancer cells. TAAbs can be detected in the blood and serve as biomarkers for cancer diagnosis, prognosis, and monitoring. They provide insights into tumor development and immune responses, offering potential for targeted therapies and personalized medicine in cancer treatment.

Why Develop hccTAAb Atlas ?

Numerous studies have shown the promising performance of tumor-associated autoantibodies (TAAbs) in hepatocellular carcinoma (HCC). Interestingly, during the transition from chronic liver disease to HCC, there is a stepwise increase in autoantibody levels, suggesting their significant role in HCC development. However, the current literature underreports the role of autoantibodies in immune regulation. To address these limitations, we developed hccTAAb Atlas, a comprehensive and user-friendly web-based database. This database provides a wide range of resources, including literature-based and multi-omics data, to facilitate autoantibody-related studies and promote in-depth basic and translational research in HCC.

How to Cite hccTAAb Atlas ?

TD Li, P Wang, GY Sun, et al. hccTAAb Atlas: an integrated knowledge database for tumor-associated autoantibodies in hepatocellular carcinoma.

Relevant Published Studies

• Serological Biomarkers for Early Detection of Hepatocellular Carcinoma: A Focus on Autoantibodies against Tumor-Associated Antigens Encoded by Cancer Driver Genes
• A novel immunodiagnosis panel for hepatocellular carcinoma based on bioinformatics and the autoantibody‐antigen system
• Human Proteome Microarray identifies autoantibodies to tumor‐associated antigens as serological biomarkers for the diagnosis of hepatocellular carcinoma
• Autoantibody to GNAS in Early Detection of Hepatocellular Carcinoma: A Large-Scale Sample Study Combined with Verification in Serial Sera from HCC Patients

Contact

If you have any questions about the hccTAAb Atlas, please feel free to contact us: tiandonglee@163.com (Tiandong Li); yehua@zzu.edu.cn (Hua Ye).

Acknowledgements

We express our sincere gratitude to Prof. HE Xu, GY Qin and MZ Fan for their invaluable technical support; Additionally, we extend our thanks to the National Supercomputing Center In Zhengzhou for providing the platform.

Update Logs

• 2023.05.10: Web tool was developed, named hccTAAb Atlas (v1.0)
• 2023.08.15: Add the six aspects analysis: Expression Pattern, Survival Analysis, Immune Infiltration, Similarity Analysis, DNA Methylation, DNA Mutation (v1.1).
• 2023.10.06: Add the three proteomic data: PDC000198, PXD008373, PXD036048 (v1.2).
• 2023.10.20: Provide image download function (v1.3).
• 2023.12.05: Add the adjusted P values, revised the plot (v1.5).

Note: This update log provides a summary of recent changes and improvements made to the Shiny web page. Please feel free to explore the updated features and provide further feedback for ongoing enhancements.

Suggestions for Compatible Browsers

We recommend using the latest version of Google Chrome, Mozilla Firefox, and Microsoft Edge.

TAAb Information

Click the TAAb Information, users can view the sensitivity and specificity of the corresponding TAAb (One point represents one TAAb), all the links in the table below are clickable.

Expression Pattern

Click on Expression Pattern and Select a TAAb. Then, click on the Calculator, users will be able to obtain figures and tables. By clicking on Download, users can save images locally. | ns: P >0.05, *: P<= 0.05, **: P <= 0.01, ***: P <= 0.001, ****: P <= 0.0001.

Survival Analysis

Click on Survival Analysis and Select a TAAb. Then, click on the Calculator, users will be able to obtain Kaplan-Meier plots and hazard ratios. By clicking on Download, users can save images locally.

Immune Infiltration

Click on Immune Infiltration and Select a TAAb. Then, click on the Calculator, users will be able to obtain the relationship between selected TAAb and immune infiltration levels (ssGSEA and CIBERSORT). By clicking on Download, users can save images locally.

Similarity Analysis

Click on Similarity Analysis and Select a TAAb. Then, click on the Calculator, users will be able to obtain genes that exhibit both positive and negative correlations with the selected TAAb. Users can change the number of genes by clicking the Select the Number to Display (the default value is 100).

DNA Methylation

Click on DNA Methylation, users will be able to obtain the table of DNA methylation differential analysis.

DNA Mutation

Click on DNA Mutation and Select a TAAb. Then, click on the Calculator, users will be able to obtain lollipop plot and detailed information table for the selected TAAb.