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首页> Frontiers in immunology> A new 4-gene-based prognostic model accurately predicts breast cancer prognosis and immunotherapy response by integrating WGCNA and bioinformatics analysis.

A new 4-gene-based prognostic model accurately predicts breast cancer prognosis and immunotherapy response by integrating WGCNA and bioinformatics analysis.

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作者： Wenlong,Chen ^[1] ; Yakun,Kang ^[2] ; Wenyi,Sheng ^[1] ; Qiyan,Huang ^[1] ; Jiale,Cheng ^[1] ; Shengbin,Pei ^[2] ; You,Meng ^[3]

作者单位： Department of Thyroid and Breast Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China. ^[1] Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. ^[2] Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. ^[3]

关键词 POLQ breast cancer drug screening immune landscape prognostic signature

主题词人类(Humans);女(雌)性(Female);乳腺肿瘤(Breast Neoplasms);预后(Prognosis);乳房(Breast);计算生物学(Computational Biology);免疫疗法(Immunotherapy);肿瘤微环境(Tumor Microenvironment)

DOI 10.3389/fimmu.2024.1331841

PMID 38370403

发布时间 2024-04-08

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