Cargando…

Identification of potential DNA methylation biomarkers related to diagnosis in patients with bladder cancer through integrated bioinformatic analysis

BACKGROUND: Bladder cancer (BLCA) is one of the most common malignancies among tumors worldwide. There are no validated biomarkers to facilitate such treatment diagnosis. DNA methylation modification plays important roles in epigenetics. Identifying methylated differentially expressed genes is a com...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cheng, Hongxia, Liu, Yuhua, Chen, Gang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413619/ https://www.ncbi.nlm.nih.gov/pubmed/37563710 http://dx.doi.org/10.1186/s12894-023-01307-5

Ejemplares similares

Identification of Potential Biomarkers for Progression and Prognosis of Bladder Cancer by Comprehensive Bioinformatics Analysis
por: Tan, Zhiyong, et al.
Publicado: (2022)

The Bioinformatical Identification of Potential Biomarkers in Heart Failure Diagnosis and Treatment
por: Sheng, Xiaodong, et al.
Publicado: (2022)

Identification of potential biomarkers in dengue via integrated bioinformatic analysis
por: Xie, Li-Min, et al.
Publicado: (2021)

Identification and Verification of Potential Biomarkers in Gastric Cancer By Integrated Bioinformatic Analysis
por: Sun, Chenyu, et al.
Publicado: (2022)

Identification of Prognostic Biomarkers for Bladder Cancer Based on DNA Methylation Profile
por: Zhang, Shumei, et al.
Publicado: (2022)

An Integrated Bioinformatics Analysis towards the Identification of Diagnostic, Prognostic, and Predictive Key Biomarkers for Urinary Bladder Cancer
por: Sarafidis, Michail, et al.
Publicado: (2022)

Identification of Key Genes Associated with Progression and Prognosis of Bladder Cancer through Integrated Bioinformatics Analysis
por: Verma, Shiv, et al.
Publicado: (2021)

Identification of candidate biomarkers correlated with the diagnosis and prognosis of cervical cancer via integrated bioinformatics analysis
por: Dai, Fangfang, et al.
Publicado: (2019)

Bioinformatics Identification of Aberrantly Methylated Differentially Expressed Genes Associated with Arteriosclerosis by Integrative Analysis of Gene Expression and DNA Methylation Datasets
por: Cheng, Jin, et al.
Publicado: (2022)

Integrated bioinformatics-based identification of potential diagnostic biomarkers associated with atopic dermatitis
por: Chen, Guanghua, et al.
Publicado: (2022)

Identification of Chemokines-Related miRNAs as Potential Biomarkers in Psoriasis Based on Integrated Bioinformatics Analysis
por: Zhuang, Haojun, et al.
Publicado: (2023)

Identification of Potential Biomarkers in Association With Progression and Prognosis in Epithelial Ovarian Cancer by Integrated Bioinformatics Analysis
por: Liu, Jinhui, et al.
Publicado: (2019)

Identification of Potential Biomarkers in Glioblastoma through Bioinformatic Analysis and Evaluating Their Prognostic Value
por: Zhou, Yangmei, et al.
Publicado: (2019)

Integrated Bioinformatic Analysis of DNA Methylation and Immune Infiltration in Endometrial Cancer
por: Dai, Fangfang, et al.
Publicado: (2022)

Identification of modules and novel prognostic biomarkers in liver cancer through integrated bioinformatics analysis
por: Shen, Bo, et al.
Publicado: (2020)

Five Hub Genes Can Be The Potential DNA Methylation Biomarkers For Cholangiocarcinoma Using Bioinformatics Analysis
por: Chen, Diyu, et al.
Publicado: (2019)

Identification of Pulpitis-Related Potential Biomarkers Using Bioinformatics Approach
por: Xin, Bingchang, et al.
Publicado: (2021)

Identification and Validation of Hub Genes Associated with Bladder Cancer by Integrated Bioinformatics and Experimental Assays
por: Chen, Kang, et al.
Publicado: (2021)

Aberrantly DNA Methylated-Differentially Expressed Genes in Pancreatic Cancer Through an Integrated Bioinformatics Approach
por: Sun, Haifeng, et al.
Publicado: (2021)

Identification and Verification of Potential Biomarkers in Renal Ischemia-Reperfusion Injury by Integrated Bioinformatic Analysis
por: Pan, Ziwen, et al.
Publicado: (2023)

Screening and identification of key biomarkers in bladder carcinoma: Evidence from bioinformatics analysis
por: Yan, Meiqin, et al.
Publicado: (2018)

Identification of Key Biomarkers in Bladder Cancer: Evidence from a Bioinformatics Analysis
por: Zhang, Chuan, et al.
Publicado: (2020)

Novel Potential Biomarkers Associated With Epithelial to Mesenchymal Transition and Bladder Cancer Prognosis Identified by Integrated Bioinformatic Analysis
por: Wang, Chengyuan, et al.
Publicado: (2020)

Identification of potential diagnostic biomarkers of atherosclerosis based on bioinformatics strategy
por: Zheng, Zhipeng, et al.
Publicado: (2023)

Integrative bioinformatics analysis of WDHD1: a potential biomarker for pan-cancer prognosis, diagnosis, and immunotherapy
por: Cui, Zhiwei, et al.
Publicado: (2023)

Identification of potential biomarkers for ankylosing spondylitis based on bioinformatics analysis
por: Li, Dongxu, et al.
Publicado: (2023)

Bioinformatics analysis to screen DNA methylation-driven genes for prognosis of patients with bladder cancer
por: Zhou, Qing, et al.
Publicado: (2021)

Screening and identification of hub genes in bladder cancer by bioinformatics analysis and KIF11 is a potential prognostic biomarker
por: Mo, Xiao-Cong, et al.
Publicado: (2021)

Identification of ferroptosis related biomarkers and immune infiltration in Parkinson’s disease by integrated bioinformatic analysis
por: Xing, Na, et al.
Publicado: (2023)

Identification of potential blood biomarkers for Parkinson’s disease by gene expression and DNA methylation data integration analysis
por: Wang, Changliang, et al.
Publicado: (2019)

Comprehensive bioinformatics analysis reveals biomarkers of DNA methylation-related genes in varicose veins
por: Li, Shengyu, et al.
Publicado: (2022)

Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer
por: Shi, Huaqing, et al.
Publicado: (2022)

Bioinformatics combined with quantitative proteomics analyses and identification of potential biomarkers in cholangiocarcinoma
por: Da, Zijian, et al.
Publicado: (2020)

Bioinformatics analysis of key biomarkers for bladder cancer
por: Liu, Wentao, et al.
Publicado: (2022)

Identification of potential biomarkers of sepsis using bioinformatics analysis
por: Yang, Yu-Xia, et al.
Publicado: (2017)

The Identification of Candidate Biomarkers and Pathways in Atherosclerosis by Integrated Bioinformatics Analysis
por: Lu, Youwei, et al.
Publicado: (2021)

Identification and analysis of novel endometriosis biomarkers via integrative bioinformatics
por: Bae, Sung-Jin, et al.
Publicado: (2022)

Exploring the Key Genes and Identification of Potential Diagnosis Biomarkers in Alzheimer’s Disease Using Bioinformatics Analysis
por: Yu, Wuhan, et al.
Publicado: (2021)

Identification of ZNF26 as a Prognostic Biomarker in Colorectal Cancer by an Integrated Bioinformatic Analysis
por: Liu, Jiaxin, et al.
Publicado: (2021)

Identification of TIMP1 as an inflammatory biomarker associated with temporal lobe epilepsy based on integrated bioinformatics and experimental analyses
por: He, Ya, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_3cdam75qbr1nfvkv2627rj36s3