Cargando…

Identification of core genes and outcome in gastric cancer using bioinformatics analysis

Gastric cancer (GC) is a common malignant neoplasm of gastrointestinal tract. We chose gene expression profile of GSE54129 from GEO database aiming to find key genes during the occurrence and development of GC. 132 samples, including 111 cancer and 21 normal gastric mucosa epitheliums, were included...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sun, Chenhua, Yuan, Qi, Wu, Dongdong, Meng, Xiaohu, Wang, Baolin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Impact Journals LLC 2017
Materias:	Research Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5642553/ https://www.ncbi.nlm.nih.gov/pubmed/29050278 http://dx.doi.org/10.18632/oncotarget.20082

Ejemplares similares

Identification of core genes associated with type 2 diabetes mellitus and gastric cancer by bioinformatics analysis
por: Liu, Shiwei, et al.
Publicado: (2022)

Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis
por: Chong, Xinyu, et al.
Publicado: (2020)

Identification of core genes and clinical outcomes in tumors originated from endoderm (gastric cancer and lung carcinoma) via bioinformatics analysis
por: Shi, Yewen, et al.
Publicado: (2021)

Identification of core gene in obese type 2 diabetes patients using bioinformatics analysis
por: Dong, Zhiyong, et al.
Publicado: (2021)

Identification of hub genes in gastric cancer by integrated bioinformatics analysis
por: Sun, Feng, et al.
Publicado: (2021)

Identification of Core Biomarkers Associated with Outcome in Glioma: Evidence from Bioinformatics Analysis
por: Geng, Rong-Xin, et al.
Publicado: (2018)

Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics
por: Li, Mengjun, et al.
Publicado: (2020)

Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer
por: Yang, ChenChen, et al.
Publicado: (2021)

Identification of potential key genes in gastric cancer using bioinformatics analysis
por: Wang, Wei, et al.
Publicado: (2020)

Identification of potential core genes in Kawasaki disease using bioinformatics analysis
por: Wu, Wenbin, et al.
Publicado: (2019)

Identification of Potential Core Genes for the Rupture of Intracranial Aneurysms by a Bioinformatics Analysis
por: Lin, Yuan, et al.
Publicado: (2022)

Identification of core genes for early diagnosis and the EMT modulation of ovarian serous cancer by bioinformatics perspective
por: Zhang, Yanna, et al.
Publicado: (2021)

Identification of core genes associated with prostate cancer progression and outcome via bioinformatics analysis in multiple databases
por: Wang, Yutao, et al.
Publicado: (2020)

Identification of Potential Core Genes in Parkinson's Disease Using Bioinformatics Analysis
por: Quan, Wei, et al.
Publicado: (2021)

Identification of Core Genes and Pathways in Melanoma Metastasis via Bioinformatics Analysis
por: Xie, Renjian, et al.
Publicado: (2022)

Identification of potential core genes in esophageal carcinoma using bioinformatics analysis
por: Yang, Xiaojie, et al.
Publicado: (2021)

Bioinformatics analysis of potential core genes for glioblastoma
por: Zhang, Yu, et al.
Publicado: (2020)

Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis
por: Qiu, Jieping, et al.
Publicado: (2020)

Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis
por: Wu, Xuan, et al.
Publicado: (2019)

Exploring the Core Genes of Schizophrenia Based on Bioinformatics Analysis
por: Feng, Shunkang, et al.
Publicado: (2022)

Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis
por: Li, Ting, et al.
Publicado: (2018)

Identification of key genes with prognostic value in gastric cancer by bioinformatics analysis
por: Wang, Rongsheng, et al.
Publicado: (2022)

Identification of potential core genes in triple negative breast cancer using bioinformatics analysis
por: Li, Man-Xiu, et al.
Publicado: (2018)

Identification of novel hub genes associated with gastric cancer using integrated bioinformatics analysis
por: Lu, Xiao-Qing, et al.
Publicado: (2021)

Identification of core genes and pathways in type 2 diabetes mellitus by bioinformatics analysis
por: Ding, Linchao, et al.
Publicado: (2019)

Identification of Potential Key Genes Associated With the Pathogenesis and Prognosis of Gastric Cancer Based on Integrated Bioinformatics Analysis
por: Liu, Xinkui, et al.
Publicado: (2018)

Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis
por: Abdolahi, Fatemeh, et al.
Publicado: (2023)

Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis
por: Wei, Jianxia, et al.
Publicado: (2020)

Identification and Validation of SNP-Containing Genes With Prognostic Value in Gastric Cancer via Integrated Bioinformatics Analysis
por: Li, Hui, et al.
Publicado: (2021)

Identification of genes and pathways in nasopharyngeal carcinoma by bioinformatics analysis
por: Chen, Fang, et al.
Publicado: (2017)

β-Carboxysome bioinformatics: identification and evolution of new bacterial microcompartment protein gene classes and core locus constraints
por: Sommer, Manuel, et al.
Publicado: (2017)

Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis
por: Yang, Biao, et al.
Publicado: (2020)

Identification of potential core genes and miRNAs in testicular seminoma via bioinformatics analysis
por: Wang, Kai, et al.
Publicado: (2019)

Identification of Core Genes and Screening of Potential Targets in Glioblastoma Multiforme by Integrated Bioinformatic Analysis
por: Yang, Ji’an, et al.
Publicado: (2021)

Identification of immune-related genes that predict prognosis and risk of bladder cancer: bioinformatics analysis of TCGA database
por: Guo, Liqiang, et al.
Publicado: (2021)

Bioinformatics-based analysis of the association between the A1-chimaerin (CHN1) gene and gastric cancer
por: Li, Jie-Pin, et al.
Publicado: (2021)

Identification of 2 Potential Core Genes for Influence of Gut Probiotics on Formation of Intracranial Aneurysms by Bioinformatics Analysis
por: Liu, Heng-Jian, et al.
Publicado: (2020)

Identification of Genes and Pathways Involved in Ovarian Epithelial Cancer by Bioinformatics Analysis
por: Zhou, Yun, et al.
Publicado: (2018)

Identification of Potential Diagnostic and Prognostic Biomarkers for Gastric Cancer Based on Bioinformatic Analysis
por: Niu, Xiaoji, et al.
Publicado: (2022)

Identification of hub genes in colon cancer via bioinformatics analysis
por: Liu, Jun, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_q7hh73vsj1e5p0rtk8smsokvoi