Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma

Chen，Dongdong1,2,3; Feng，Zhijun4; Zhou，Mingzhen1; Ren，Zhijian1,2; Zhang，Fan1,2; Li，Yumin1,2

2021

10.1155/2021/4092635

Biomed Research International   影响因子和分区

2314-6133

2314-6141

Hepatocellular carcinoma (HCC) is an aggressive cancer type with poor prognosis; thus, there is especially necessary and urgent to screen potential prognostic biomarkers for early diagnosis and novel therapeutic targets. In this study, we downloaded target data sets from the GEO database, and obtained codifferentially expressed genes using the limma R package and identified key genes through the protein-protein interaction network and molecular modules, and performed GO and KEGG pathway analyses for key genes via the clusterProfiler package and further determined their correlations with clinicopathological features using the Oncomine database. Survival analysis was completed in the GEPIA and the Kaplan-Meier plotter database. Finally, correlations between key genes, cell types infiltrated in the tumor microenvironment (TME), and hypoxic signatures were explored based on the TIMER database. From the results, 11 key genes related to the cell cycle were determined, and high levels of these key genes' expression were focused on advanced and higher grade status HCC patients, as well as in samples of TP53 mutation and vascular invasion. Besides, the 11 key genes were significantly associated with poor prognosis of HCC and also were positively related to the infiltration level of MDSCs in the TME and the HIF1A and VEGFA of hypoxic signatures, but a negative correlation was found with endothelial cells (ECs) and hematopoietic stem cells. The result determined that 11 key genes (RRM2, NDC80, ECT2, CCNB1, ASPM, CDK1, PRC1, KIF20A, DTL, TOP2A, and PBK) could play a vital role in the pathogenesis of HCC, drive the communication between tumor cells and the TME, and act as probably promising diagnostic, therapeutic, and prognostic biomarkers in HCC patients.

SCI

英语

其他

Special Research Project of Lanzhou University Serving the Economic and Social Development of Gansu Province[054000282]

Biotechnology & Applied Microbiology ; Research & Experimental Medicine

Biotechnology & Applied Microbiology ; Medicine, Research & Experimental

WOS:000783548000002

HINDAWI LTD

2-s2.0-85118928346

Scopus

1.Lanzhou University Second Hospital,Gansu,No. 82, Cuiyingmen, Chengguan District, Lanzhou,China
2.Key Laboratory of Digestive System Tumors of Gansu Province,Gansu,No. 82, Cuiyingmen, Chengguan District, Lanzhou,China
3.Gansu Provincial Hospital,Gansu,No. 204, Donggang West Road, Chengguan District, Lanzhou,China
4.Southern University of Science and Technology Hospital,Guangdong,No. 6019, Xili Liuxian Avenue, Nanshan District, Shenzhen,China

Chen，Dongdong,Feng，Zhijun,Zhou，Mingzhen,et al. Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma[J]. Biomed Research International,2021,2021.

Chen，Dongdong,Feng，Zhijun,Zhou，Mingzhen,Ren，Zhijian,Zhang，Fan,&Li，Yumin.(2021).Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma.Biomed Research International,2021.

Chen，Dongdong,et al."Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma".Biomed Research International 2021(2021).