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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,1Yuqin Tangb,1Zhihai LiuaChuanliang 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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References

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Nagarsheth N, Wicha MS, Zou W. Chemokines in the cancer microenvironment and their relevance in cancer immunotherapy. Nat Rev Immunol. 2017;17(9):559–572.

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Wang H, Li S, Wang Q, et al. Tumor immunological phenotype signature-based high-throughput screening for the discovery of combination immunotherapy compounds. Sci Adv. 2021;7(4):eabd7851.

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Tang Y, Guo C, Yang Z, Wang Y, Zhang Y, Wang D. Identification of a tumor immunological phenotype-related gene signature for predicting prognosis, immunotherapy efficacy, and drug candidates in hepatocellular carcinoma. Front Immunol. 2022;13:862527.

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Zhang Y, Yang Z, Tang Y, et al. Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage Ⅰ–Ⅲ lung adenocarcinoma. Genes Dis. 2023;10(4):1657–1674.

Genes & Diseases
Article number: 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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