ArticleFrontiers in oncology2022
Characterization of the Immune Cell Infiltration Landscape in Esophageal Squamous Cell Carcinoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 25 citations in OpenAlex.
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- Recognition and confirmation of key genes associated with nicotinamide metabolism in acute myocardial infarction.Hereditas · 2026Article
- Spatiotemporal transcriptomic insights into ferroptosis and TFRC-linked immune interactions in ischemia-reperfusion acute kidney injury.Genes and immunity · 2026Article
- Exploration of potential mechanisms and biomarkers related to ERS-associated RCD in steroid-induced osteonecrosis of the femoral head based on bioinformatics, with experimental validation.Frontiers in endocrinology · 2026Article
- Identification and Validation of a Four-Gene Signature as a Novel Potential Diagnostic Biomarker Panel for Endometriosis: Causal and Mechanistic Insights from Mendelian Randomization and Bioinformatics.International journal of women's health · 2026Article
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- Integrative analysis of transcriptomics, single-cell RNA sequencing, and GraphBAN identifiesFrontiers in immunology · 2026Article
- Multi-omics and machine learning reveal LYZ and ISG15 as diagnostic and therapeutic targets in autoimmune-mediated chronic kidney disease.Frontiers in immunology · 2026Article
- ACADL and ADH1B signify ketone body metabolic reprogramming in osteoarthritic synovium: insights from bioinformatics and animal model studies.Frontiers in medicine · 2026Article
- Identification of potential biomarkers related to mannose metabolism in keloids: analysis of integrated bulk RNA-seq and scRNA-seq.Frontiers in immunology · 2026Article
- Investigating key genes and molecular mechanisms of prostate cancer and coronary heart disease through transcriptomics and experimental validation.Translational andrology and urology · 2025Article
- Identification of ferroptosis- and mitochondrial metabolism-related biomarkers and the potential molecular mechanisms of poor ovarian response.Journal of ovarian research · 2025Article
- Targeting the PD-1/PD-L1 Signaling Pathway for Cancer Therapy: Focus on Biomarkers.International journal of molecular sciences · 2025Review
- Integrated transcriptomic and network analysis reveals candidate immune-metabolic biomarkers in children with the inattentive type of ADHD.Frontiers in psychiatry · 2025Article
- Identification and validation of selenium metabolism-related genes in lung adenocarcinoma prognosis using bioinformatics analysis.Frontiers in genetics · 2025Article
- Identification and experimental validation of demethylation-related genes in diabetic nephropathy.Frontiers in genetics · 2025Article
- Identification and Experimental Validation of Biomarkers Associated With Mitochondria and Macrophage Polarization in Sepsis.Emergency medicine international · 2025Article
- Mendelian randomization combined with single-cell sequencing analysis revealed prognostic genes related to myeloid cell differentiation in prostate cancer and experimental verification.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Immunotherapy has achieved remarkable efficacy in treating oesophageal squamous cell carcinoma (ESCC). However, this treatment has limited efficacy in some patients. An increasing number of evidence suggested that immune cells within the tumour microenvironment (TME) are strongly related to immunotherapy response and patient prognosis. Thus, the landscape of immune cell infiltration (ICI) in ESCC needs to be mapped. Methods: In the study, the ICI pattern in 206 cases of ESCC was characterised by two algorithms, namely, CIBERSORT and single-sample gene set enrichment analysis (ssGSEA). The ICI score of each specimen was calculated by principal component analysis (PCA) according to ICI signature genes A (ICISGA) and B (ICISGB). The prognostic difference was evaluated by using the Kaplan-Meier method. The related pathways of ICI score were investigated by applying gene set enrichment analysis (GSEA). The R packages of 'regplot', 'timeROC' and 'rms' were applied for the construction of nomogram model. Result: Three TME subtypes were identified with no prognostic implication. A total of 333 differentially expressed genes (DEGs) among immune subtypes were determined, among which ICISGA and ICISGB were identified. Finally, ICI scores were constructed, and the patients were grouped into high or low ICI score group. Compared with the low ICI score group, the high ICI score group had better prognosis. GSEA revealed that the high ICI score group referred to multiple signalling pathways, including B cell receptor, Fc gamma R-mediated phagocytosis, NOD-like receptor and TGF-β signalling pathways. In addition, the nomogram model was constructed to evaluate 1-, 3- and 5-year probability of death in an ESCC patient. The ROC and calibration curves indicated that the model has a good discrimination ability. Conclusion: We depicted a comprehensive ICI landscape in ESCC. ICI score may be used as a predictor of survival rate, which may be helpful for guiding immunotherapy in the future.
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