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  • ISSN 1674-8301
  • CN 32-1810/R
Volume 35 Issue 1
Jan.  2021
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Sun Zhen, Liu Chen, Cheng Steven Y.. Identification of four novel prognosis biomarkers and potential therapeutic drugs for human colorectal cancer by bioinformatics analysis[J]. The Journal of Biomedical Research, 2021, 35(1): 21-35. DOI: 10.7555/JBR.34.20200021
Citation: Sun Zhen, Liu Chen, Cheng Steven Y.. Identification of four novel prognosis biomarkers and potential therapeutic drugs for human colorectal cancer by bioinformatics analysis[J]. The Journal of Biomedical Research, 2021, 35(1): 21-35. DOI: 10.7555/JBR.34.20200021
shu

Identification of four novel prognosis biomarkers and potential therapeutic drugs for human colorectal cancer by bioinformatics analysis

  • 1.

    Department of Medical Genetics

  • 2.

    Department of Pathology and Pathophysiology

  • 3.

    Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China

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  • Corresponding author:

    Steven Y. Cheng, Department of Medical Genetics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, China. Tel/Fax: +86-25-86869463, E-mail: sycheng@njmu.edu.cn

  • Received Date: February 12, 2020
  • Revised Date: August 11, 2020
  • Accepted Date: August 24, 2020
  • Available Online: October 21, 2020
    Abstract
  • Colorectal cancer (CRC) is one of the most deadly cancers in the world with few reliable biomarkers that have been selected into clinical guidelines for prognosis of CRC patients. In this study, mRNA microarray datasets GSE113513, GSE21510, GSE44076, and GSE32323 were obtained from the Gene Expression Omnibus (GEO) and analyzed with bioinformatics to identify hub genes in CRC development. Differentially expressed genes (DEGs) were analyzed using the GEO2R tool. Gene ontology (GO) and KEGG analyses were performed through the DAVID database. STRING database and Cytoscape software were used to construct a protein-protein interaction (PPI) network and identify key modules and hub genes. Survival analyses of the DEGs were performed on GEPIA database. The Connectivity Map database was used to screen potential drugs. A total of 865 DEGs were identified, including 374 upregulated and 491 downregulated genes. These DEGs were mainly associated with metabolic pathways, pathways in cancer, cell cycle and so on. The PPI network was identified with 863 nodes and 5817 edges. Survival analysis revealed that HMMR, PAICS, ETFDH, and SCG2 were significantly associated with overall survival of CRC patients. And blebbistatin and sulconazole were identified as candidate drugs. In conclusion, our study found four hub genes involved in CRC, which may provide novel potential biomarkers for CRC prognosis, and two potential candidate drugs for CRC.
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    • References (35)
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    Corresponding author: Cheng Steven Y., sycheng@njmu.edu.cn
    • 1.

      Department of Medical Genetics

    • 3.

      Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu 211166, China

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