Cargando…
Robust prognostic model based on immune infiltration‐related genes and clinical information in ovarian cancer
Immune infiltration of ovarian cancer (OV) is a critical factor in determining patient's prognosis. Using data from TCGA and GTEx database combined with WGCNA and ESTIMATE methods, 46 genes related to OV occurrence and immune infiltration were identified. Lasso and multivariate Cox regression w...
Autores principales: | Zhang, Xi, Kong, Weikaixin, Gao, Miaomiao, Huang, Weiran, Peng, Chao, Huang, Zhuo, Xie, Zhengwei, Guo, Hongyan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258710/ https://www.ncbi.nlm.nih.gov/pubmed/35735060 http://dx.doi.org/10.1111/jcmm.17360 |
Ejemplares similares
-
Prognostic model of patients with liver cancer based on tumor stem cell content and immune process
por: Kong, Weikaixin, et al.
Publicado: (2020) -
Identification of Key Genes Related to Lung Squamous Cell Carcinoma Using Bioinformatics Analysis
por: Gao, Miaomiao, et al.
Publicado: (2020) -
Expression and Prognostic Characteristics of Ferroptosis-Related Genes in Colon Cancer
por: Zhu, Jie, et al.
Publicado: (2021) -
Multiple machine learning methods aided virtual screening of Na(V)1.5 inhibitors
por: Kong, Weikaixin, et al.
Publicado: (2022) -
Robust analysis of a novel PANoptosis-related prognostic gene signature model for hepatocellular carcinoma immune infiltration and therapeutic response
por: Wei, Yongguang, et al.
Publicado: (2023)