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CORRECTION article

Front. Immunol., 04 June 2024
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 | https://doi.org/10.3389/fimmu.2024.1438587

Corrigendum: Biomarkers and computational models for predicting efficacy to tumor ICI immunotherapy

This article is a correction to:

  1. Biomarkers and computational models for predicting efficacy to tumor ICI immunotherapy

    1. Read original article
Yurong Qin,Yurong Qin1,2Miaozhe Huo,Miaozhe Huo1,2Xingwu Liu*Xingwu Liu3*Shuai Cheng Li,*Shuai Cheng Li1,2*
  • 1Department of Computer Science, City University of Hong Kong, Kowloon, China
  • 2City University of Hong Kong Shenzhen Research Institute, Shenzhen, Guangdong, China
  • 3School of Mathematical Sciences, Dalian University of Technology, Dalian, Liaoning, China

A Corrigendum on
Biomarkers and computational models for predicting efficacy to tumor ICI immunotherapy

By Qin Y, Huo M, Liu X and Li SC (2024). Front. Immunol. 15:1368749. doi: 10.3389/fimmu.2024.1368749

In the published article, there was an error in the Funding statement. We only stated, “This research was funded by The Science Technology and Innovation Committee of Shenzhen Municipality (Project No. JCYJ20200109143216036),” and omitted “The National Natural Science Foundation of China (Grant No. 62072433)” funding information. The correct Funding statement appears below.

FUNDING

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by The National Natural Science Foundation of China (Grant No. 62072433) and The Science Technology and Innovation Committee of Shenzhen Municipality (Project No. JCYJ20200109143216036).

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: tumor, ICI immunotherapy, biomarkers, computational models, prediction of treatment effectiveness

Citation: Qin Y, Huo M, Liu X and Li SC (2024) Corrigendum: Biomarkers and computational models for predicting efficacy to tumor ICI immunotherapy. Front. Immunol. 15:1438587. doi: 10.3389/fimmu.2024.1438587

Received: 26 May 2024; Accepted: 28 May 2024;
Published: 04 June 2024.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2024 Qin, Huo, Liu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xingwu Liu, liuxingwu@dlut.edu.cn; Shuai Cheng Li, sc.li@cityu.edu.hk

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.