Cargando…
Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients
AIM: To identify multiple microRNAs (miRNAs) for predicting the prognosis of gastric cancer (GC) patients by bioinformatics analysis. METHODS: The original microarray dataset GSE93415, which included 20 GC and 20 tumor adjacent normal gastric mucosal tissues, was downloaded from the Gene Expression...
Autores principales: | Zhang, Cheng, Zhang, Chun-Dong, Ma, Ming-Hui, Dai, Dong-Qiu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859223/ https://www.ncbi.nlm.nih.gov/pubmed/29568201 http://dx.doi.org/10.3748/wjg.v24.i11.1206 |
Ejemplares similares
-
MicroRNA-596 acts as a tumor suppressor in gastric cancer and is upregulated by promotor demethylation
por: Zhang, Zhen, et al.
Publicado: (2019) -
Proteomic signatures of infiltrative gastric cancer by proteomic and bioinformatic analysis
por: Zhang, Li-Hua, et al.
Publicado: (2022) -
MicroRNA-320a suppresses tumor progression by targeting PBX3 in gastric cancer and is downregulated by DNA methylation
por: Li, Yong-Shuang, et al.
Publicado: (2019) -
Development and validation of a three-long noncoding RNA signature for predicting prognosis of patients with gastric cancer
por: Zhang, Jun, et al.
Publicado: (2020) -
MicroRNA-30c inhibits pancreatic cancer cell proliferation by targeting twinfilin 1 and indicates a poor prognosis
por: Sun, Lu-Lu, et al.
Publicado: (2019)