Skip to main content
Download PDF

Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma

BioData Mining volume 16, Article number: 30 (2023) Cite this article

The Original Article was published on 07 May 2021

Correction: BioData Mining 14, 29 (2021)

https://doi.org/10.1186/s13040-021-00261-y

Following publication of the original article [1], the authors found that the pathology images of normal liver tissue and liver cancer tissue of FABP6 in Fig. 13B were duplicated. The pathological images of normal FABP6 and liver cancer patients were both sourced from public databases (The Human Protein Atlas, https://www.proteinatlas.org/). Therefore, the results in this article are reliable. To make this research repeatable, the following has provided a download link for pathological images.

The patient ID of normal liver tissue is 3402. link:

https://www.proteinatlas.org/ENSG00000170231-FABP6/tissue/liver#img;

figure a

FABP6 normal

The liver cancer patient ID is 3334, link:

https://www.proteinatlas.org/ENSG00000170231-FABP6/pathology/liver+cancer#img.

figure b

FABP6 liver cancer

Therefore, the correct Fig. 13 should be as follows:

Fig. 13
figure 1

Genetic alterations landscape (a) and expression in the translational level (b) of the seven-prognostic immune-related genes in hepatocellular carcinoma

Full size image

Reference

  1. Yan Q, Zheng W, Wang B, et al. A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma. BioData Mining. 2021;14:29. https://doi.org/10.1186/s13040-021-00261-y.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Author notes

  1. Qian Yan, Wenjiang Zheng and Boqing Wang contributed equally to this work, and they should be considered as co-first authors.

Authors and Affiliations

  1. The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China

    Qian Yan, Wenjiang Zheng, Boqing Wang, Baoqian Ye, Huiyan Luo, Xinqian Yang & Ping Zhang

  2. Department of Oncology, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China

    Xiongwen Wang

Authors
  1. Qian Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wenjiang Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Boqing Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Baoqian Ye
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Huiyan Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xinqian Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ping Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Xiongwen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiongwen Wang.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, Q., Zheng, W., Wang, B. et al. Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma. BioData Mining 16, 30 (2023). https://doi.org/10.1186/s13040-023-00347-9

Download citation

  • Published:

  • DOI: https://doi.org/10.1186/s13040-023-00347-9

BioData Mining

ISSN: 1756-0381