Ontology highlight
ABSTRACT:
SUBMITTER: Wang Y
PROVIDER: S-EPMC10492096 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Wang Yao Y Jiang Runyi R Wang Ting T Wu Zhipeng Z Gong Haiyi H Cai Xiaopan X Liu Jialiang J Yang Xinghai X Wei Haifeng H Jiao Jian J Jia Qi Q Yang Cheng C Zhao Chenglong C Xiao Jianru J
American journal of cancer research 20230815 8
Understanding the specificity and complexity of the tumor microenvironment (TME) of Ewing sarcoma (ES) is essential for identifying the immune characteristics of ES, improving the prediction of immunotherapeutic response, and facilitating therapeutic target discovery. In this study, we not only evaluated the gene sets associated with TME in ES using ESTIMATE and WGCNA algorithms based on the transcriptome data of ES, but also constructed a prognostic model (ES Score) using univariate Cox regress ...[more]