Identication of Novel Hub Genes Through Expression Proles Analysis in Adrenocortical Carcinoma Chenhe Yao Beijing Zhicheng Biomedical Technology Co,Ltd Xiaoling Zhao Beijing Zhicheng Biomedical Technology Co,Ltd Xuemeng Shang Beijing Zhicheng Biomedical Technology Co,Ltd Binghan Jia Beijing Zhicheng Biomedical Technology Co,Ltd Shuaijie Dou Beijing Zhicheng Biomedical Technology Co,Ltd Weiliang Ye Beijing Zhicheng Biomedical Technology Co,Ltd Yuemei Yang (
[email protected] ) Beijing Zhicheng Biomedical Technology,Co.,Ltd. Research Keywords: Adrenocortical carcinoma, biomarkers, gene expression proling, Co-expression, prognosis Posted Date: July 1st, 2020 DOI: https://doi.org/10.21203/rs.3.rs-38768/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/21 Abstract Background: Adrenocortical carcinoma (ACC) is a heterogeneous and rare malignant tumor associated with a poor prognosis. The molecular mechanisms of ACC remain elusive and more accurate biomarkers for the prediction of prognosis are needed. Methods: In this study, integrative proling analyses were performed to identify novel hub genes in ACC to provide promising targets for future investigation. Three gene expression proling datasets in the GEO database were used for the identication of overlapped differentially expressed genes (DEGs) following the criteria of adj.P.Value<0.05 and |log2 FC|>0.5 in ACC. Novel hub genes were screened out following a series of processes: the retrieval of DEGs with no known associations with ACC on Pubmed, then the cross-validation of expression values and signicant associations with overall survival in the GEPIA2 and starBase databases, and nally the prediction of gene-tumor association in the GeneCards database.