Cargando…

Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning

Objectives: Osteosarcoma is the most common primary malignant tumor in children and adolescents, and the 5-year survival of osteosarcoma patients gained no substantial improvement over the past decades. Effective biomarkers in diagnosing osteosarcoma are warranted to be developed. This study aims to...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ji, Yuqiao, Lin, Zhengjun, Li, Guoqing, Tian, Xinyu, Wu, Yanlin, Wan, Jia, Liu, Tang, Xu, Min
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507254/ https://www.ncbi.nlm.nih.gov/pubmed/37732314 http://dx.doi.org/10.3389/fgene.2023.1136783

Ejemplares similares

Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy
por: Lin, Zhengjun, et al.
Publicado: (2022)

Genome-wide identification of alternative splicing and splicing regulated in immune infiltration in osteosarcoma patients
por: Dai, Zhibing, et al.
Publicado: (2023)

Identification of Novel Biomarkers With Diagnostic Value and Immune Infiltration in Burn Injury
por: Zhou, Sitong, et al.
Publicado: (2022)

Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Parkinson’s disease
por: Zhao, Songyun, et al.
Publicado: (2022)

Identification and Validation of Potential Pathogenic Genes and Prognostic Markers in ESCC by Integrated Bioinformatics Analysis
por: Tang, Lu, et al.
Publicado: (2020)

Identification of biomarkers associated with diagnosis of postmenopausal osteoporosis patients based on bioinformatics and machine learning
por: Huang, Xinzhou, et al.
Publicado: (2023)

Bioinformatic analysis and machine learning to identify the diagnostic biomarkers and immune infiltration in adenomyosis
por: Liu, Dan, et al.
Publicado: (2023)

Discovery and Validation of Key Biomarkers Based on Immune Infiltrates in Alzheimer’s Disease
por: Liu, Zhuohang, et al.
Publicado: (2021)

Identification of effective diagnostic biomarker and immune cell infiltration characteristics in acute liver failure by integrating bioinformatics analysis and machine-learning strategies
por: Yuan, Mengqin, et al.
Publicado: (2022)

Global Characterization of Metabolic Genes Regulating Survival and Immune Infiltration in Osteosarcoma
por: Zhu, Zhongpei, et al.
Publicado: (2022)

Identification of Novel Prognostic Biomarkers Relevant to Immune Infiltration in Lung Adenocarcinoma
por: Xia, Zhi, et al.
Publicado: (2022)

Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms
por: Liu, Chunjiang, et al.
Publicado: (2022)

Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis via machine learning
por: She, Han, et al.
Publicado: (2023)

Non-coding RNAs as potential biomarkers in osteosarcoma
por: Fan, Lijuan, et al.
Publicado: (2022)

Identification and validation of ferroptosis-related genes and immune cell infiltration in thyroid associated ophthalmopathy
por: Chen, Sainan, et al.
Publicado: (2023)

Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer
por: Liu, Baohong, et al.
Publicado: (2022)

Identification of key serum biomarkers for the diagnosis and metastatic prediction of osteosarcoma by analysis of immune cell infiltration
por: Chen, Zhihao, et al.
Publicado: (2022)

Identification of prognostic biomarkers associated with metastasis and immune infiltration in osteosarcoma
por: Yang, Bingsheng, et al.
Publicado: (2021)

Identification of potential key genes for immune infiltration in childhood asthma by data mining and biological validation
por: Wang, Zhili, et al.
Publicado: (2022)

Identification of Driver Genes Regulating the T-Cell–Infiltrating Levels in Hepatocellular Carcinoma
por: Cai, Yi, et al.
Publicado: (2020)

Bioinformatic analysis and experimental validation identified DNA methylation–Related biomarkers and immune-cell infiltration of atherosclerosis
por: Xu, Congjian, et al.
Publicado: (2022)

Keloid Biomarkers and Their Correlation With Immune Infiltration
por: Yin, Xufeng, et al.
Publicado: (2022)

Clinical value of M1 macrophage-related genes identification in bladder urothelial carcinoma and in vitro validation
por: Yu, Yang, et al.
Publicado: (2022)

Identification of the diagnostic genes and immune cell infiltration characteristics of gastric cancer using bioinformatics analysis and machine learning
por: Xie, Rongjun, et al.
Publicado: (2023)

Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis
por: Gong, Cheng-Wu, et al.
Publicado: (2022)

Identification of Hub Genes and Immune Infiltration in Psoriasis by Bioinformatics Method
por: Su, Wenxing, et al.
Publicado: (2021)

Identification of Important Modules and Biomarkers That Are Related to Immune Infiltration Cells in Severe Burns Based on Weighted Gene Co-Expression Network Analysis
por: Zhang, Zexin, et al.
Publicado: (2022)

Identification of CD161 expression as a novel prognostic biomarker in breast cancer correlated with immune infiltration
por: Weng, Miaomiao, et al.
Publicado: (2022)

Identification and verification of IGFBP3 and YTHDC1 as biomarkers associated with immune infiltration and mitophagy in hypertrophic cardiomyopathy
por: Li, Yao, et al.
Publicado: (2022)

Analysis of infiltrated immune cells in left atriums from patients with atrial fibrillation and identification of circRNA biomarkers for postoperative atrial fibrillation
por: Chen, Yubin, et al.
Publicado: (2022)

Identification and Validation of Potential Biomarkers and Their Functions in Acute Kidney Injury
por: Chen, Jianwen, et al.
Publicado: (2020)

Identification of Prognostic Biomarkers and Correlation With Immune Infiltrates in Hepatocellular Carcinoma Based on a Competing Endogenous RNA Network
por: Pu, Zhangya, et al.
Publicado: (2021)

Identification of GGT5 as a Novel Prognostic Biomarker for Gastric Cancer and its Correlation With Immune Cell Infiltration
por: Wang, Yuli, et al.
Publicado: (2022)

Identification of Immune Infiltration-Related ceRNAs as Novel Biomarkers for Prognosis of Patients With Primary Open-Angle Glaucoma
por: Zhang, Daowei, et al.
Publicado: (2022)

Identification of novel prognostic biomarkers in the TF-enhancer-target regulatory network in hepatocellular carcinoma and immune infiltration analysis
por: Yan, Jianing, et al.
Publicado: (2023)

Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning
por: Liu, Jinya, et al.
Publicado: (2022)

Identification of an Iron Metabolism-Related lncRNA Signature for Predicting Osteosarcoma Survival and Immune Landscape
por: Hong-bin, Shao, et al.
Publicado: (2022)

Recurrence Risk of Liver Cancer Post-hepatectomy Using Machine Learning and Study of Correlation With Immune Infiltration
por: Qian, Xiaowen, et al.
Publicado: (2021)

Identification and Validation of a Four-Long Non-coding RNA Signature Associated With Immune Infiltration and Prognosis in Colon Cancer
por: Wang, Yanbo, et al.
Publicado: (2021)

Identification of Diagnostic Biomarkers in Systemic Lupus Erythematosus Based on Bioinformatics Analysis and Machine Learning
por: Jiang, Zhihang, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_chnlivocei31rrq5mm1dvdnlll