Cargando…
Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes
There is considerable heterogeneity in the genomic drivers of lung adenocarcinoma, which has a dismal prognosis. Bioinformatics analysis was performed on lung adenocarcinoma (LUAD) datasets to establish a multi-autophagy gene model to predict patient prognosis. LUAD data were downloaded from The Can...
Autores principales: | Fei, Yuchang, Xu, Junyi, Ge, Liping, Chen, Luting, Yu, Huan, Pan, Lei, Chen, Peifeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550247/ https://www.ncbi.nlm.nih.gov/pubmed/36178365 http://dx.doi.org/10.18632/aging.204097 |
Ejemplares similares
-
Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis
por: Chen, Luting, et al.
Publicado: (2021) -
Expression and prognostic analyses of early growth response proteins (EGRs) in human breast carcinoma based on database analysis
por: Fei, Yuchang, et al.
Publicado: (2019) -
AQP3‐mediated H(2)O(2) uptake inhibits LUAD autophagy by inactivating PTEN
por: Wang, Yawei, et al.
Publicado: (2021) -
Genomic and immunogenomic analysis of three prognostic signature genes in LUAD
por: Feng, Hai-Ming, et al.
Publicado: (2023) -
Linc00996 is a favorable prognostic factor in LUAD: Results from bioinformatics analysis and experimental validation
por: Shen, Zhenghai, et al.
Publicado: (2022)