Cargando…
Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis
Colorectal cancer (CRC) is a life-threatening disease with a poor prognosis. Therefore, it is crucial to identify molecular prognostic biomarkers for CRC. The present study aimed to identify potential key genes that could be used to predict the prognosis of patients with CRC. Three CRC microarray da...
Autores principales: | Dai, Gong-Peng, Wang, Li-Ping, Wen, Yu-Qing, Ren, Xue-Qun, Zuo, Shu-Guang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924121/ https://www.ncbi.nlm.nih.gov/pubmed/31897151 http://dx.doi.org/10.3892/ol.2019.11068 |
Ejemplares similares
-
Identification of Hub Genes Related to Carcinogenesis and Prognosis in Colorectal Cancer Based on Integrated Bioinformatics
por: Gong, Benjiao, et al.
Publicado: (2020) -
Identification of ZNF26 as a Prognostic Biomarker in Colorectal Cancer by an Integrated Bioinformatic Analysis
por: Liu, Jiaxin, et al.
Publicado: (2021) -
Identification of Key Candidate Genes and Pathways in Colorectal Cancer by Integrated Bioinformatical Analysis
por: Guo, Yongchen, et al.
Publicado: (2017) -
Identification of key candidate genes associated with prognosis of lung adenocarcinoma by integrated bioinformatical analysis
por: Li, Jinghang, et al.
Publicado: (2020) -
Bioinformatics-based identification of key genes and pathways associated with colorectal cancer diagnosis, treatment, and prognosis
por: Wang, Chaochao, et al.
Publicado: (2022)