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Identification of prognostic aging-related genes associated with immunosuppression and inflammation in head and neck squamous cell carcinoma

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成果类型:
期刊论文
作者:
Yang, Jing;Jiang, Qingshan;Liu, Lijun;Peng, Hong;Wang, Yaya;...
通讯作者:
Gan, Runliang;Liu, Zhifeng
作者机构:
[Yang, Jing] Univ South China, Dept Gastroenterol, Affiliated Hosp 1, Hengyang 421001, Hunan, Peoples R China.
[Gan, Runliang; Yang, Jing] Univ South China, Canc Res Inst, Hunan Prov Key Lab Tumor Cellular & Mol Pathol, Hengyang 421001, Hunan, Peoples R China.
[Peng, Hong; Liu, Zhifeng; Yu, Jing; Jiang, Qingshan; Tang, Yanhua; Li, Shuyan; Liu, Lijun; Wang, Yaya] Univ South China, Dept Otorhinolaryngol, Affiliated Hosp 1, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Gan, Runliang; Liu, Zhifeng] U
Univ South China, Canc Res Inst, Hunan Prov Key Lab Tumor Cellular & Mol Pathol, Hengyang 421001, Hunan, Peoples R China.
Univ South China, Dept Otorhinolaryngol, Affiliated Hosp 1, Hengyang 421001, Hunan, Peoples R China.
语种:
英文
关键词:
aging-related genes (AGs);head and neck squamous cell carcinoma (HNSCC);immunosuppression;inflammation;prognosis
期刊:
AGING-US
ISSN:
1945-4589
年:
2020
卷:
12
期:
24
页码:
25778-25804
基金类别:
Health and Family Planning Commission of Hunan Province [20201921, 20201947, B20180186]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [2019JJ50547]; Hunan Province Key Laboratory of Tumor Cellular and Molecular Pathology [2016TP1015]; Hunan Provincial Science and Technology Department [2017Sk50206]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81372134]
机构署名:
本校为第一且通讯机构
院系归属:
医学院
摘要:
Aging is regarded as a dominant risk factor for cancer. Additionally, inflammation and asthenic immune surveillance with aging may facilitate tumor formation and development. However, few studies have comprehensively analyzed the relationship between aging-related genes (AGs) and the prognosis, inflammation and tumor immunity of head and neck squamous cell carcinoma (HNSCC). Here, we initially screened 41 differentially expressed AGs from The Cancer Genome Atlas (TCGA) database. In the training set, a prognosis risk model with seven AGs (APP, C...

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