Cargando…
Evaluation of FGFR1 as a diagnostic biomarker for ovarian cancer using TCGA and GEO datasets
BACKGROUND: Malignant ovarian cancer is associated with the highest mortality of all gynecological tumors. Designing therapeutic targets that are specific to OC tissue is important for optimizing OC therapies. This study aims to identify different expression patterns of genes related to FGFR1 and th...
Autores principales: | Xiao, Huiting, Wang, Kun, Li, Dan, Wang, Ke, Yu, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866899/ https://www.ncbi.nlm.nih.gov/pubmed/33604191 http://dx.doi.org/10.7717/peerj.10817 |
Ejemplares similares
-
Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases
por: Zheng, Qiangqiang, et al.
Publicado: (2021) -
Integrated analysis of lymphocyte infiltration-associated lncRNA for ovarian cancer via TCGA, GTEx and GEO datasets
por: Wu, Meijing, et al.
Publicado: (2020) -
Identification of prognosis-related genes in the tumor microenvironment of stomach adenocarcinoma by TCGA and GEO datasets
por: Ren, Na, et al.
Publicado: (2020) -
A risk score model with five long non-coding RNAs for predicting prognosis in gastric cancer: an integrated analysis combining TCGA and GEO datasets
por: Wu, Yiguo, et al.
Publicado: (2021) -
Identifying hub genes of papillary thyroid carcinoma in the TCGA and GEO database using bioinformatics analysis
por: Wan, Ying, et al.
Publicado: (2020)