Identification of prognostic biomarkers associated with tumor microenvironment in ceRNA network for esophageal squamous cell carcinoma: a bioinformatics study based on TCGA database

Identification of prognostic biomarkers associated with tumor microenvironment in ceRNA network for esophageal squamous cell carcinoma: a bioinformatics study based on TCGA database

Abstract Background Esophageal squamous cell carcinoma (ESCC) is the most common histological type of esophageal cancer in the world with high incidence rate and poor prognosis. Infiltrated immune and stromal cells are vital components of tumor microenvironment (TME) and have a significant impact on...

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Bibliographic Details
Main Authors: Danlei Song, Yongjian Wei, Yuping Hu, Xia Chen, Ya Zheng, Min Liu, Yuping Wang, Yongning Zhou
Format: Article
Language:English
Published: Springer 2021-11-01
Series:Discover Oncology
Subjects:
Esophageal squamous cell carcinoma
Tumor microenvironment
Weighted gene co-expression network analysis
Competing endogenous RNA network
Prognosis
Relative abundance of tumor infiltrating immune cells
Online Access:https://doi.org/10.1007/s12672-021-00442-5

Internet

https://doi.org/10.1007/s12672-021-00442-5

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