Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma

Autor: Xin Li, Kun Liu, Jian Zhou, Junfang Hu, Yue Zhu, Li Li, Yi Li, Songlin Ma, Yan Liu, Sihuan Xu
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: PLoS ONE, Vol 16, Iss 10, p e0258797 (2021)
PLoS ONE, Vol 16, Iss 10 (2021)
PLoS ONE
ISSN: 1932-6203
Popis: Background Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors. However, the etiology and exact molecular mechanism of LIHC are still not fully understood, which makes it urgent for us to further study the molecular events behind. Methods In this study, differences in mRNA expression between LIHC samples and normal adjacent samples were found through analyzing the TCGA database, and key targets were sought. We analyzed 371 LIHC samples and 50 normal adjacent samples according to P 2.5, a total of 1092 genes were identified differentially expressed, including 995 up-regulated genes and 97 down-regulated genes. We predicted the interactions of these differentially expressed mRNAs, and used Cyto-Hubba to locate the hub gene-dynein cytoplasmic 1 intermediate chain 1 (DYNC1I1). Results Survival analysis showed that DYNC1I1 was a prognostic factor for LIHC male patients. Functional enrichment indicated that DYNC1I1 and differentially expressed interacting proteins were involved in the cell cycle. Conclusion In conclusion, this study discovers that DYNC1I1 can be used as a prognostic marker for LIHC male patients.
Databáze: OpenAIRE