Cargando…

Key genes affecting the progression of nasopharyngeal carcinoma identified by RNA-sequencing and bioinformatic analysis

Background: The present work was conducted to screen the potential biomarkers affecting nasopharyngeal carcinoma (NPC) progression through RNA-sequencing (RNA-seq), bioinformatic analysis and functional experiments. Materials and Methods: Six normal samples and five NPC clinical samples were collect...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Yihong, Li, Manyi, Guo, Yan, Huang, Haiping, Dong, Xuelin, Sun, Yangguang, Liu, Jisheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Impact Journals 2021
Materias:	Research Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507278/ https://www.ncbi.nlm.nih.gov/pubmed/34544905 http://dx.doi.org/10.18632/aging.203521

Ejemplares similares

Hsa_circ_0007637 Facilitates Nasopharyngeal Carcinoma Progression by Sponging miR-636/TPD52 Axis
por: Wang, Yihong, et al.
Publicado: (2021)

CircHIPK2 promotes proliferation of nasopharyngeal carcinoma by down-regulating HIPK2
por: Zhang, Dan, et al.
Publicado: (2022)

Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinoma
por: Zhang, Yingai, et al.
Publicado: (2019)

Long Noncoding RNA HOTTIP Promotes Nasopharyngeal Cancer Cell Proliferation, Migration, and Invasion by Inhibiting miR-4301
por: Shen, Meiqin, et al.
Publicado: (2019)

Identifying key genes and small molecule compounds for nasopharyngeal carcinoma by various bioinformatic analysis
por: Fang, Lucheng, et al.
Publicado: (2021)

Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis
por: Song, Yujie, et al.
Publicado: (2022)

Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma
por: Zhang, Haiping, et al.
Publicado: (2019)

Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma
por: Liu, Kang, et al.
Publicado: (2019)

Comprehensive analysis of key genes associated with ceRNA networks in nasopharyngeal carcinoma based on bioinformatics analysis
por: Xu, Yuanji, et al.
Publicado: (2020)

Screening and identification of key biomarkers in nasopharyngeal carcinoma: Evidence from bioinformatic analysis
por: Zhang, Ji-Zhou, et al.
Publicado: (2019)

Screening Key Genes and Biological Pathways in Nasopharyngeal Carcinoma by Integrated Bioinformatics Analysis
por: Tai, Junhu, et al.
Publicado: (2022)

The four-microRNA signature identified by bioinformatics analysis predicts the prognosis of nasopharyngeal carcinoma patients
por: Zhang, Siwei, et al.
Publicado: (2019)

Bioinformatics Analysis Identifies ASCL1 as the Key Transcription Factor in Hepatocellular Carcinoma Progression
por: Zhang, Hong-yan, et al.
Publicado: (2023)

Retracted: Bioinformatics Analysis Identifies ASCL1 as the Key Transcription Factor in Hepatocellular Carcinoma Progression
por: Markers, Disease
Publicado: (2023)

Identified IGSF9 association with prognosis and hypoxia in nasopharyngeal carcinoma by bioinformatics analysis
por: Huang, Donglan, et al.
Publicado: (2020)

Identifying key genes associated with Hirschsprung’s disease based on bioinformatics analysis of RNA-sequencing data
por: Pan, Wei-Kang, et al.
Publicado: (2017)

Bioinformatics analysis identifies potential biomarkers involved in the metastasis of locoregionally advanced nasopharyngeal carcinoma
por: Hu, Rongrong, et al.
Publicado: (2022)

Identification of methylated genes and miRNA signatures in nasopharyngeal carcinoma by bioinformatics analysis
por: Wang, Yingli, et al.
Publicado: (2018)

Identification of key genes and pathways by bioinformatics analysis with TCGA RNA sequencing data in hepatocellular carcinoma
por: Zhu, Qiandong, et al.
Publicado: (2018)

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

Identification of key pseudogenes in nasopharyngeal carcinoma based on RNA-Seq analysis
por: Zhang, Xiujuan, et al.
Publicado: (2021)

Bioinformatics analysis of RNA sequencing data reveals multiple key genes in uterine corpus endometrial carcinoma
por: Shen, Liang, et al.
Publicado: (2018)

Exome Sequencing Identifies Potentially Druggable Mutations in Nasopharyngeal Carcinoma
por: Chow, Yock Ping, et al.
Publicado: (2017)

Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics
por: Chen, Yuanbin, et al.
Publicado: (2022)

Screening and bioinformatical analysis of differentially expressed genes in nasopharyngeal carcinoma
por: Guo, Weiqian, et al.
Publicado: (2021)

Identification of key genes involved in nasopharyngeal carcinoma()
por: Jiang, Xue, et al.
Publicado: (2016)

LncRNA ANCR promotes proliferation and radiation resistance of nasopharyngeal carcinoma by inhibiting PTEN expression
por: Ma, Xingkai, et al.
Publicado: (2018)

Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments
por: Chen, Yeda, et al.
Publicado: (2020)

Combining Bioinformatics and Experiments to Identify and Verify Key Genes with Prognostic Values in Endometrial Carcinoma
por: Zhang, Wenchao, et al.
Publicado: (2020)

Identifying and analyzing the key genes shared by papillary thyroid carcinoma and Hashimoto’s thyroiditis using bioinformatics methods
por: Liu, Ting-ting, et al.
Publicado: (2023)

Key radioresistance regulation models and marker genes identified by integrated transcriptome analysis in nasopharyngeal carcinoma
por: Sun, Zhuang, et al.
Publicado: (2021)

Bioinformatic analysis identifies potential key genes of epilepsy
por: Zhu, Yike, et al.
Publicado: (2021)

Identification of key miRNAs in the progression of hepatocellular carcinoma using an integrated bioinformatics approach
por: Zheng, Qi, et al.
Publicado: (2020)

Circular RNA Expression Profiles in Nasopharyngeal Carcinoma by Sequence Analysis
por: Yang, Jing, et al.
Publicado: (2020)

Identification of Novel Kinase–Transcription Factor–mRNA–miRNA Regulatory Network in Nasopharyngeal Carcinoma by Bioinformatics Analysis
por: Gao, Li, et al.
Publicado: (2021)

Bioinformatic identification of candidate biomarkers and related transcription factors in nasopharyngeal carcinoma
por: Ye, Zhimin, et al.
Publicado: (2019)

Integrated bioinformatics analysis to identify key genes related to the prognosis of esophageal squamous cell carcinoma
por: Yang, Ying, et al.
Publicado: (2021)

Correction: Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments
por: Chen, Yeda, et al.
Publicado: (2022)

Comprehensive Bioinformatics Identifies Key microRNA Players in ATG7-Deficient Lung Fibroblasts
por: Stojanović, Stevan D., et al.
Publicado: (2020)

Identifying Key Genes for Nasopharyngeal Carcinoma by Prioritized Consensus Differentially Expressed Genes Caused by Aberrant Methylation
por: Chen, Yunqin, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_3m3cqjlihahtpibnuchchunghs