ArticleBMC cancer2021
Development of a prognostic signature for esophageal cancer based on nine immune related genes.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- A Breg-associated lncRNA signature predicts prognosis and immune landscape in esophageal carcinoma.Translational cancer research · 2026Article
- Identification of macrophage polarization-related genes for esophageal cancer risk: a multi-omics Mendelian randomization analysis.Clinical epigenetics · 2026Article
- Interferon signaling and ferroptosis in tumor immunology and therapy.NPJ precision oncology · 2024Article
- Serum protein profiling reveals an inflammation signature as a predictor of early breast cancer survival.Breast cancer research : BCR · 2024Article
- Comprehensive analysis of ZNF family genes in prognosis, immunity, and treatment of esophageal cancer.BMC cancer · 2023Article
- STC2 activates PRMT5 to induce radioresistance through DNA damage repair and ferroptosis pathways in esophageal squamous cell carcinoma.Redox biology · 2023Article
- The Molecular Characterization of Genetic Abnormalities in Esophageal Squamous Cell Carcinoma May Foster the Development of Targeted Therapies.Current oncology (Toronto, Ont.) · 2023Review
- Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm.PloS one · 2023Article
- Development and validation of a prognostic model for esophageal carcinoma based on immune microenvironment using system bioinformatics.Cancer medicine · 2023Article
- Establishment and validation of exhausted CD8+ T cell feature as a prognostic model of HCC.Frontiers in immunology · 2023Article
- Nerves in gastrointestinal cancer: from mechanism to modulations.Nature reviews. Gastroenterology & hepatology · 2022Review
- Clinical and molecular assessment of an onco-immune signature with prognostic significance in patients with colorectal cancer.Cancer medicine · 2022Article
- Novel Immune-Related Ferroptosis Signature in Esophageal Cancer: An Informatics Exploration of Biological Processes Related to the TMEM161B-AS1/hsa-miR-27a-3p/GCH1 Regulatory Network.Frontiers in genetics · 2022Article
- A Risk Model Based on Immune-Related Genes Predicts Prognosis and Characterizes the Immune Landscape in Esophageal Cancer.Pathology oncology research : POR · 2022Article
- Development of immune gene pair-based signature predictive of prognosis and immunotherapy in esophageal cancer.Annals of translational medicine · 2021Article
- Comprehensive analysis of a new immune-related prognostic signature for esophageal cancer and its correlation with infiltrating immune cells and target genes.Annals of translational medicine · 2021Article
- Integrated bioinformatics analysis of differentially expressed genes and immune cell infiltration characteristics in Esophageal Squamous cell carcinoma.Scientific reports · 2021Article
- Predicting the Prognosis of Esophageal Adenocarcinoma by a Pyroptosis-Related Gene Signature.Frontiers in pharmacology · 2021Article
- Development and Validation of a Prognostic Gene Signature Correlated With M2 Macrophage Infiltration in Esophageal Squamous Cell Carcinoma.Frontiers in oncology · 2021Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundFunction of the immune system is correlated with the prognosis of the tumor. The effect of immune microenvironment on esophageal cancer (EC) development has not been fully investigated.
methodsThis study aimed to explore a prognostic model based on immune-related genes (IRGs) for EC. We obtained the RNA-seq dataset and clinical information of EC from the Cancer Genome Atlas (TCGA).
resultsWe identified 247 upregulated IRGs and 56 downregulated IRGs. Pathway analysis revealed that the most differentially expressed IRGs were enriched in Cytokine-cytokine receptor interaction. We further screened 13 survival-related IRGs and constructed regulatory networks involving related transcription factors (TFs). Finally, a prognostic model was constructed with 9 IRGs (HSPA6, S100A12, CACYBP, NOS2, DKK1, OSM, STC2, NGPTL3 and NR2F2) by multivariate Cox regression analysis. The patients were classified into two subgroups with different outcomes. When adjusted with clinical factors, this model was verified as an independent predictor, which performed accurately in prognostic prediction. Next, M0 and M2 macrophages and activated mast cells were significantly enriched in high-risk group, while CD8 T cells and regulatory T cells (Tregs) were significantly enriched in low-risk group.
conclusionsPrognosis related IRGs were identified and a prognostic signature for esophageal cancer based on nine IRGs was developed.
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