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Rapid Communication | Open Access

Tumor immunological phenotype-derived gene classification predicts prognosis, treatment response, and drug candidates in ovarian cancer

Chengbin Guoa,1, Yuqin Tangb,1, Zhihai Liua, Chuanliang Chenb,c( ), Xun Hud,e( ), Yongqiang Zhanga,f( )
Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, Guangdong 510623, China
Clinical Bioinformatics Experimental Center, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, Henan 450003, China
School of Pharmacy, Macau University of Science and Technology, Taipa, Macau 999078, China
Clinical Research Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310003, China
Biorepository, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China

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 5,
September 2024
Article number: 101173
DOI: 10.1016/j.gendis.2023.101173
Cite this article:
Guo C, Tang Y, Liu Z, et al. Tumor immunological phenotype-derived gene classification predicts prognosis, treatment response, and drug candidates in ovarian cancer. Genes & Diseases, 2024, 11(5): 101173. https://doi.org/10.1016/j.gendis.2023.101173

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Received: 16 May 2023
Published: 21 November 2023
© 2023 The Authors.

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