Cargando…
Extracellular Matrix-Related Hubs Genes Have Adverse Effects on Gastric Adenocarcinoma Prognosis Based on Bioinformatics Analysis
Gastric adenocarcinoma (GAC) is the most frequent type of stomach cancer, characterized by high heterogeneity and phenotypic diversity. Although many novel strategies have been developed for treating GAC, recurrence and metastasis rates are still high. Therefore, it is necessary to screen new potent...
Autores principales: | Alatan, Husile, Chen, Yinwei, Zhou, Jinghua, Wang, Li |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303807/ https://www.ncbi.nlm.nih.gov/pubmed/34356118 http://dx.doi.org/10.3390/genes12071104 |
Ejemplares similares
-
Bioinformatic analysis of potential hub genes in gastric adenocarcinoma
por: Liu, Hao, et al.
Publicado: (2021) -
Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis
por: Qiu, Jieping, et al.
Publicado: (2020) -
Identification of hub genes correlated with the pathogenesis and prognosis in Pancreatic adenocarcinoma on bioinformatics methods
por: Shi, Lan-Er, et al.
Publicado: (2020) -
Collagen Family and Other Matrix Remodeling Proteins Identified by Bioinformatics Analysis as Hub Genes Involved in Gastric Cancer Progression and Prognosis
por: Chivu-Economescu, Mihaela, et al.
Publicado: (2022) -
Identification of Hub Genes in Colorectal Adenocarcinoma by Integrated Bioinformatics
por: Liu, Yang, et al.
Publicado: (2022)