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Rapid Communication | Open Access

A novel copper metabolism-related signature model for predicting the prognosis, target drugs, and immunotherapy in stomach adenocarcinoma

Kai Zhuanga,b,c,,1Siqi Tanga,b,1Haixin Fenga,b,c,1Jinying Zhanga,bYing LiubYong Liua,bYongjian Sua,bJiaqi Yua,cZunnan Huanga,b,d( )
Key Laboratory of Computer-Aided Drug Design of Dongguan City, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong 523710, China
Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong 523808, China
School of Public Health, Guangdong Medical University, Dongguan, Guangdong 523808, China
Marine Biomedical Research Institute of Guangdong Zhanjiang, Zhanjiang, Guangdong 524203, China

Peer review under responsibility of Chongqing Medical University.

1 These authors contributed equally to this work.

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Barbie DA, Tamayo P, Boehm JS, et al. Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1. Nature. 2009;462(7269):108–112.

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Charoentong P, Finotello F, Angelova M, et al. Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade. Cell Rep. 2017;18(1):248–262.

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He Y, Jiang Z, Chen C, Wang X. Classification of triple-negative breast cancers based on immunogenomic profiling. J Exp Clin Cancer Res. 2018;37(1):327.

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Yang W, Soares J, Greninger P, et al. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013;41(Database issue):D955–D961.

Genes & Diseases
Article number: 101102
Cite this article:
Zhuang K, Tang S, Feng H, et al. A novel copper metabolism-related signature model for predicting the prognosis, target drugs, and immunotherapy in stomach adenocarcinoma. Genes & Diseases, 2024, 11(5): 101102. https://doi.org/10.1016/j.gendis.2023.101102

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Received: 18 January 2023
Published: 14 September 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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