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12 results on '"Zhou, Xian-Guo"'

3. Clinical Implication of E2F Transcription Factor 1 in Hepatocellular Carcinoma Tissues

Author

Ye, Wang-Yang, primary, Lu, Hui-Ping, additional, Li, Jian-Di, additional, Chen, Gang, additional, He, Rong-Quan, additional, Wu, Hua-Yu, additional, Zhou, Xian-Guo, additional, Rong, Min-Hua, additional, Yang, Li-Hua, additional, He, Wei-Ying, additional, Pang, Qiu-Yu, additional, Pan, Shang-Ling, additional, Pang, Yu-Yan, additional, and Dang, Yi-Wu, additional

Published
2021
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6. The clinical significance of interleukin 24 and its potential molecular mechanism in laryngeal squamous cell carcinoma

Author

Tang, Xiao-Zhun, primary, Zhou, Xian-Guo, additional, Zhang, Xiao-Guohui, additional, Li, Guo-Sheng, additional, Chen, Gang, additional, Dang, Yi-Wu, additional, Huang, Zhi-Guang, additional, Li, Ming-Xuan, additional, Liang, Yao, additional, Yao, Yu-Xuan, additional, Chen, Xiao-Yi, additional, Rong, Min-Hua, additional, and Huang, Su-Ning, additional

Published
2020
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7. Identification of an Immune Score-Based Gene Panel with Prognostic Power for Oral Squamous Cell Carcinoma

Author

Huang, Su-Ning, primary, Li, Guo-Sheng, additional, Zhou, Xian-Guo, additional, Chen, Xiao-Yi, additional, Yao, Yu-Xuan, additional, Zhang, Xiao-Guohui, additional, Liang, Yao, additional, Li, Ming-Xuan, additional, Chen, Gang, additional, Huang, Zhi-Guang, additional, Dang, Yi-Wu, additional, Li, Jing, additional, Li, Ping, additional, Tang, Xiao-Zhun, additional, and Rong, Min-Hua, additional

Published
2020
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8. Association between polymorphisms in MicroRNA target sites of RAD51D genes and risk of hepatocellular carcinoma

Author

Jiang, Yan‐Ji, primary, Zhong, Jian‐Hong, additional, Zhou, Zi‐Han, additional, Qiu, Mo‐Qin, additional, Zhou, Xian‐Guo, additional, Liu, Ying‐Chun, additional, Huo, Rong‐Rui, additional, Liang, Xiu‐Mei, additional, Chen, Zhu, additional, Lin, Qiu‐Ling, additional, Yu, Xiang‐Yuan, additional, and Yu, Hong‐Ping, additional

Published
2019
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9. Identifying miRNA and gene modules of colon cancer associated with pathological stage by weighted gene co-expression network analysis

Author

Zhou,Xian-guo, Huang,Xiao-liang, Liang,Si-yuan, Tang,Shao-mei, Wu,Si-kao, Huang,Tong-tong, Mo,Zeng-nan, Wang,Qiu-yan, Zhou,Xian-guo, Huang,Xiao-liang, Liang,Si-yuan, Tang,Shao-mei, Wu,Si-kao, Huang,Tong-tong, Mo,Zeng-nan, and Wang,Qiu-yan

Abstract

Xian-guo Zhou,1,2,* Xiao-liang Huang,1,2,* Si-yuan Liang,1–3 Shao-mei Tang,1,2 Si-kao Wu,1,2 Tong-tong Huang,1,2 Zeng-nan Mo,1,2,4 Qiu-yan Wang1,2,5 1Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China; 2Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China; 3Department of Colorectal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China; 4Department of Urology and Nephrology, The First Affiliated Hospital of Guangxi, Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China; 5Guangxi Colleges and Universities Key Laboratory of Biological Molecular Medicine Research, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People’s Republic of China *These authors contributed equally to this work Introduction: Colorectal cancer (CRC) is the fourth most common cause of cancer-related mortality worldwide. The tumor, node, metastasis (TNM) stage remains the standard for CRC prognostication. Identification of meaningful microRNA (miRNA) and gene modules or representative biomarkers related to the pathological stage of colon cancer helps to predict prognosis and reveal the mechanisms behind cancer progression.Materials and methods: We applied a systems biology approach by combining differential expression analysis and weighted gene co-expression network analysis (WGCNA) to detect the pathological stage-related miRNA and gene modules and construct a miRNA–gene network. The Cancer Genome Atlas (TCGA) colon adenocarcinoma (CAC) RNA-sequencing data and miRNA-sequencing data were subjected to WGCNA analysis, and the GSE29623, GSE35602 and

Published
2018

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