ArticleBMC medical genomics2021
Profiles of immune cell infiltration and immune-related genes in the tumor microenvironment of esophageal squamous cell carcinoma.
Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 15 citations in OpenAlex.
- Research progress on the compositional characteristics of the tumor immune microenvironment and immunopredictive models in esophageal squamous cell carcinoma.Cancer biology & therapy · 2026Review
- Functional validation of driver mutation-specific uveal melanoma biomarkers: role of COL9A3 in cancer cell plasticity.The Journal of pathology · 2026Article
- A Breg-associated lncRNA signature predicts prognosis and immune landscape in esophageal carcinoma.Translational cancer research · 2026Article
- Perineural invasion in digestive tract tumors: Immune system interactions and therapeutic strategies.World journal of clinical oncology · 2026Review
- The significance of organophosphate flame retardants in patients with esophageal squamous cell carcinoma.Environmental geochemistry and health · 2025Article
- Causal relationship between circulating immune cells and the risk of esophageal cancer: a Mendelian randomization study.Discover oncology · 2025Article
- Transcriptomic Establishment of Pig Macrophage Polarization Signatures.Current issues in molecular biology · 2023Article
- Activated Mast Cells Combined with NRF2 Predict Prognosis for Esophageal Cancer.Journal of oncology · 2023Article
- An Analysis of the Gene Expression Associated with Lymph Node Metastasis in Colorectal Cancer.International journal of genomics · 2023Article
- Tumor Cell Extrinsic Synaptogyrin 3 Expression as a Diagnostic and Prognostic Biomarker in Head and Neck Cancer.Cancer research communications · 2022Article
- A Neutrophil Extracellular Traps Signature Predicts the Clinical Outcomes and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.Frontiers in molecular biosciences · 2022Article
- Prognostic Value of a Ferroptosis-Related Gene Signature in Patients With Head and Neck Squamous Cell Carcinoma.Frontiers in cell and developmental biology · 2021Article
- Landscape of B lymphocytes and plasma cells in digestive tract carcinomas.Annals of gastroenterologyReview
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundAs a complex system participating in tumor development and progression, the tumor microenvironment was poorly understood in esophageal cancer especially squamous cell carcinoma (ESCC).
methodsESTIMATE algorithm is used to investigate tumor-infiltrating immune cells and prognostic genes which were associated with the tumor microenvironment in ESCC.
resultsBased on the immune and stromal scores, ESCC samples were divided into high and low score groups and 299 overlapping differentially expressed genes were identified. Functional enrichment analysis showed that these genes were mainly involved in muscle-related function. Prognostic genes including COL9A3, GFRA2, and VSIG4 were used to establish a risk prediction model using Cox regression analyses. Then multivariate analysis showed that COL9A3 was an independent discriminator of a better prognosis. Kaplan-Meier survival analysis showed that the expression of COL9A3 was significantly correlated with the overall survival of ESCC patients. The area under the curve for the risk model in predicting 1- and 3- year survival rates were 0.660 and 0.942, respectively. The risk score was negatively correlated with plasma cells, while positively correlated with the proportions of activated CD4 memory T cells, M1 Macrophages and M2 Macrophages (p < 0.001 for each comparison). Gene set enrichment analysis suggested that both immune response and immune system process gene sets were significantly enriched in high-risk group.
conclusionsOur study provided a comprehensive understanding of the TME in ESCC patients. The establishment of the risk model is valuable for the early identification of high-risk patients to facilitate individualized treatment and improve the possibility of immunotherapy response.
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