Cargando…
Bioinformatics Analysis of Potential Key Genes in Trastuzumab-Resistant Gastric Cancer
BACKGROUND: This study was performed to identify genes related to acquired trastuzumab resistance in gastric cancer (GC) and to analyze their prognostic value. METHODS: The gene expression profile GSE77346 was downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes...
Autores principales: | Yang, Guangda, Jian, Liumeng, Lin, Xiangan, Zhu, Aiyu, Wen, Guohua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6948351/ https://www.ncbi.nlm.nih.gov/pubmed/31949544 http://dx.doi.org/10.1155/2019/1372571 |
Ejemplares similares
-
Corrigendum to “Bioinformatics Analysis of Potential Key Genes in Trastuzumab-Resistant Gastric Cancer”
por: Yang, Guangda, et al.
Publicado: (2020) -
Identification of Key Genes Involved in Diabetic Peripheral Neuropathy Progression and Associated with Pancreatic Cancer
por: Jian, Liumeng, et al.
Publicado: (2020) -
Identification of genes and analysis of prognostic values in nonsmoking females with non-small cell lung carcinoma by bioinformatics analyses
por: Yang, Guangda, et al.
Publicado: (2018) -
Prediction of key genes and pathways involved in trastuzumab-resistant gastric cancer
por: Yu, Chaoran, et al.
Publicado: (2018) -
Comprehensive analysis of expression and prognostic value of the claudin family in human breast cancer
por: Yang, Guangda, et al.
Publicado: (2021)