ArticleJournal of inflammation research2021
Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer.
Article in Journal of inflammation research, 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.
- The Prognostic and Biological Value of PGF-Based H&E Pathomics in Hepatocellular Carcinoma.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- Article
- Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer.BMC medical genomics · 2023Article
- Pathways Related to Colon Inflammation Are Associated with Colorectal Carcinoma: A Transcriptome- and Methylome-Wide Study.Cancers · 2023Article
- Risk stratification and prognosis prediction based on inflammation-related gene signature in lung squamous carcinoma.Cancer medicine · 2023Article
- Comprehensive Characterization of RNA-Binding Proteins in Colon Adenocarcinoma Identifies a Novel Prognostic Signature for Predicting Clinical Outcomes and Immunotherapy Responses Based on Machine Learning.Combinatorial chemistry & high throughput screening · 2023Article
- Establishment of a pathomic-based machine learning model to predict CD276 (B7-H3) expression in colon cancer.Frontiers in oncology · 2023Article
- Development of a machine learning-based signature utilizing inflammatory response genes for predicting prognosis and immune microenvironment in ovarian cancer.Open medicine (Warsaw, Poland) · 2023Article
- Effects of immune inflammation in head and neck squamous cell carcinoma: Tumor microenvironment, drug resistance, and clinical outcomes.Frontiers in genetics · 2022Article
- Development and Validation of a 7-Gene Inflammatory Signature Forecasts Prognosis and Diverse Immune Landscape in Lung Adenocarcinoma.Frontiers in molecular biosciences · 2022Article
- Inflammation-Related Gene Signature for Predicting the Prognosis of Head and Neck Squamous Cell Carcinoma.International journal of general medicine · 2022Article
- Inflammatory aging clock: A cancer clock to characterize the patients' subtypes and predict the overall survival in glioblastoma.Frontiers in genetics · 2022Article
- A Novel Inflammatory-Related Gene Signature Based Model for Risk Stratification and Prognosis Prediction in Lung Adenocarcinoma.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
purposeThe inflammatory response plays a crucial role in the occurrence and development of colon cancer. In this study, we aimed to explore a novel prognostic model for patients with colon cancer (COAD) based on inflammatory response-related genes.
methodsInflammatory response-related genes were obtained from Molecular Signatures database. Univariate and multivariate Cox regression analyses were used for model construction based on TCGA dataset. GSE39582 dataset and qRT-PCR dataset were used for validation. Gene set variation analysis and gene set enrichment analysis were performed to explore the potential regulatory pathways. The immune cell infiltration level was analyzed via CIBERSORT. Immunohistochemistry analysis and experiments were used to explore the function of genes in model.
resultsIn this study, a novel prognostic signature was identified using stepwise Cox proportional hazards regression analysis based on TCGA dataset. The results were subsequently validated in 562 patients from GSE39582 and a qRT-PCR data set from 70 tumor samples. Functional analysis indicated that the tumor microenvironment and immune cell infiltrate were different between high- and low-risk groups. Additionally, IHC results showed that the protein levels of prognostic genes were significantly different between COAD tissues and adjacent non-tumorous tissues, and prognostic genes could regulate the malignant phenotype of COAD cells.
conclusionOverall, the inflammation-related gene signature can be used for prognostic prediction in patients with COAD.
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