Identification of potential crucial genes associated with the pathogenesis and prognosis of prostate cancer

被引：5
|
作者：
Mu, Hai-Qi [1 ,2 ]
Liang, Zhi-Qiang [3 ,4 ]
Xie, Qi-Peng [2 ,5 ]
Han, Wei [6 ]
Yang, Sen [1 ,2 ]
Wang, Shuai-Bin [1 ,2 ]
Zhao, Cheng [3 ,4 ]
Cao, Ye-Min [3 ,4 ]
He, You-Hua [1 ,2 ]
Chen, Jian [3 ,4 ]
机构：
[1] Wenzhou Med Univ, Dept Urol, Affiliated Hosp 2, Wenzhou, Zhejiang, Peoples R China
[2] Wenzhou Med Univ, Yuying Childrens Hosp, Wenzhou, Zhejiang, Peoples R China
[3] Shanghai Univ Tradit Chinese Med, Shanghai TCM Integrated Hosp, Shanghai, Peoples R China
[4] Shanghai TCM Integrated Inst Vasc Anomalies, Shanghai, Peoples R China
[5] Wenzhou Med Univ, Dept Lab Med, Affiliated Hosp 2, Wenzhou, Zhejiang, Peoples R China
[6] Southern Med Univ, Canc Res Inst, Guangzhou, Guangdong, Peoples R China
来源：
BIOMARKERS IN MEDICINE | 2020年 / 14卷 / 05期
基金：
中国国家自然科学基金;
关键词：
gene signature; immune infiltrates; prognosis; prostate cancer; protein-protein interaction; PROTEIN-INTERACTION NETWORKS; TENASCIN-C EXPRESSION; LIGHT-CHAIN KINASE; POOR-PROGNOSIS; HEPATOCELLULAR-CARCINOMA; TUMOR-SUPPRESSOR; GROWTH; PROLIFERATION; ACTIVATION; MIGRATION;
D O I：
10.2217/bmm-2019-0318
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
Aim: Prostate cancer (PCa) is the sixth leading cause of cancer-related deaths in men throughout the world. This study aimed to investigate genes associated with the pathogenesis and prognosis of PCa. Materials & methods: Data of PCa cases were obtained from public datasets and were analyzed using an integrated bioinformatics strategy. Results: A total of 969 differential expression genes were identified. Moreover, GSE16560 and The Cancer Genome Atlas (TCGA) data showed a prognostic prompt function of the nine-gene signature, as well as in PCa with Gleason 7. Finally, majority of the nine hub genes were associated with drug sensitivity, mutational landscape, immune infiltrates and clinical characteristics of PCa. Conclusion: The nine-gene signature was correlated with drug sensitivity, mutational landscape, immune infiltrates, clinical characteristics and survival from PCa.
引用
收藏
页码：353 / 369
页数：17
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