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Rapid Communication | Open Access

AI-driven analysis establishes the single base substitution signatures as personalized prognostic predictors for five-year survival of gastric cancer

Zhenzhang Lia,b,1, Lingqing Xua,1, Wen Luob,1, Shaoan Zhanga,b, Chunyu Houd, Xiaohong Xuc, Xubei Pengb, E. Shijuf, Janak L. Pathake, Shizhen Zhangc, Jiawei Liua, Linhai Lia( ), Yang Lia( )
School of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 511436, China
College of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong 510665, China
The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510260, China
Center for Learning Sciences and Technologies, The Chinese University of Hong Kong, Shatin, New Territories 999077, China
Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510182, China
International School of Photonics, Cochin University of Science and Technology, Kochi, Kerala 682022, India

1 These authors contributed equally to this work.

Peer review under responsibility of Chongqing Medical University.

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Genes & Diseases
Volume 11 Issue 4,
July 2024
Article number: 101030
DOI: 10.1016/j.gendis.2023.05.021

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Cite this article:
Li Z, Xu L, Luo W, et al. AI-driven analysis establishes the single base substitution signatures as personalized prognostic predictors for five-year survival of gastric cancer. Genes & Diseases, 2024, 11(4): 101030. https://doi.org/10.1016/j.gendis.2023.05.021

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Received: 12 January 2023
Published: 13 July 2023
© 2023 The Authors.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).