Frontiers in Cell and Developmental Biology · 2021 · 31 citations · 20 references
MedicineCancer BiologyOncologyCancer ImmunologyMolecular OncologyTumor MicroenvironmentCancer BiomarkersCancer Survival AnalysisImmuno-oncology BiomarkersMolecular Tumor ProfilingT Cell ExhaustionBiomarkers Of Gastric CancerCancer BioinformaticsCd8 Positive T CellsExhaustion MarkersPrognostic Biomarker DiscoveryT Cell Exhaustion BiomarkersTerminally Exhausted T CellsTumor Microenvironment Biomarkers
The transcriptional repressor cAMP response element modulator (CREM) has an important role in T-cell development. In this study, we used the integrated Bioinformatics Methods to explore the role of CREM in gastric adenocarcinoma (GAC). Our results showed that high CREM expression was closely related with poorer overall survival in GAC. By GSEA cluster analysis, we found that the high expression of CREM was associated with the cancer-associated pathway in GAC. Moreover, single-cell sequencing data showed that CREM is mainly localized in exhausted CD8 + T cells. Its prognostic value and the potential function lead to T-cell exhaustion in the tumor microenvironment (TME). Similar results were also obtained in glioma and lung cancer. High expression of CREM, correlated with clinical relevance of GAC, was associated with T-cell exhaustion and M2 polarization in GAC. These findings suggest that CREM can be used as a prognostic biomarker in GAC, which might provide a novel direction to explore the pathogenesis of GAC.
20
TIMER2.0 for analysis of tumor-infiltrating immune cells
Taiwen Li, Jingxin Fu, Zexian Zeng et al. · Nucleic Acids Research · 2020 · 5.7K citations · Full text
Medicine, Bioinformatics, Oncology +17
KOBAS 2.0: a web server for annotation and identification of enriched pathways and diseases
Chen Xie, Xizeng Mao, Jiaju Huang et al. · Nucleic Acids Research · 2011 · 5.5K citations · Full text
GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysis
Zefang Tang, Boxi Kang, Chenwei Li et al. · Nucleic Acids Research · 2019 · 5.4K citations · Full text