Your browser doesn't support javascript.
loading
Discovery of the expression of HK2 gene in clear cell carcinoma of the kidney and its clinical significance based on database analysis / 国际生物医学工程杂志
International Journal of Biomedical Engineering ; (6): 398-403, 2019.
Artigo em Chinês | WPRIM | ID: wpr-805282
ABSTRACT
Objective@#To analyze the association between hexokinase 2 (HK2) gene expression and clinical pathological characteristics in renal clear cell carcinoma using database and bioinformatics methods.@*Methods@#Oncomine database was used to analyze the most significant differentially expressed genes between renal clear cell carcinoma and non-kidney tissue. The expression levels of mRNA and protein were detected by GPEIA and The Human Protein Atlas database. Correlation of HK2 expression level between clinicopathological features and prognosis of renal clear cell carcinoma was analyzed using LinkedOmics and KM-plotter databases, respectively. The STRING database was used to predict the potential protein interaction mechanism.@*Results@#The most significant difference protein in renal clear cell carcinoma, i.e. HK2, was found, which was highly expressed in renal clear cell carcinoma tissues, and positively correlated with pathological stage, T stage and N stage of renal cell carcinoma (all P<0.05). The overall survival rate of the renal clear cell carcinoma patients with high expression of HK2 was significantly lower than that of the patients with low expression (P<0.05).@*Conclusions@#High expression of HK2 gene may be associated with pathological staging, high T stage, high N stage, and poor prognosis of renal clear cell carcinoma.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: International Journal of Biomedical Engineering Ano de publicação: 2019 Tipo de documento: Artigo

Similares

MEDLINE

...
LILACS

LIS

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: International Journal of Biomedical Engineering Ano de publicação: 2019 Tipo de documento: Artigo