ArticlePharmacogenomics and personalized medicine2020
A Seven-NF-κB-Related Gene Signature May Distinguish Patients with Ulcerative Colitis-Associated Colorectal Carcinoma.
Article in Pharmacogenomics and personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- An epithelial mesenchymal transition associated gene signature stratifies risk of ulcerative colitis associated colorectal cancer.Discover oncology · 2026Article
- CEBPB promotes ulcerative colitis-associated colorectal cancer by stimulating tumor growth and activating the NF-κB/STAT3 signaling pathway.Open life sciences · 2025Article
- Transcriptomic Insights into the Molecular Mechanisms of Indole Analogues from theAnimals : an open access journal from MDPI · 2024Article
- Extracellular matrix-based gene signature for predicting prognosis in colon cancer and immune microenvironment.Translational cancer research · 2023Article
- Methyl Gallate Alleviates Acute Ulcerative Colitis by Modulating Gut Microbiota and Inhibiting TLR4/NF-κB Pathway.International journal of molecular sciences · 2022Article
- Rectal administration of Panax notoginseng and Colla Corii Asini suppositories in ulcerative colitis: clinical effect and influence on immune function.American journal of translational research · 2022Article
- HDAC8 Promotes Liver Metastasis of Colorectal CancerOxidative medicine and cellular longevity · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeUlcerative colitis (UC) patients have an increased risk of colorectal cancer (CRC), and compared with sporadic CRC, ulcerative colitis-associated colorectal cancer (CAC) is more aggressive with a worse prognosis. This study aimed to identify a gene signature to predict the risk of CAC for patients with UC in remission. PATIENTS AND
methodsSeries of quiescent UC-related transcriptome data obtained from the Gene Expression Omnibus (GEO) data set were divided into a training set and a validation set. Gene Set Variation Analysis (GSVA), Gene Set Enrichment Analysis (GSEA), and \Weighted Correlation Network Analysis (WGCNA) combined with protein-protein interaction (PPI) analysis were used to identify the pathways and gene signatures related to tumorigenesis among quiescent UC patients. A generalized linear model (GLM) of Poisson regression based on the training set was applied to estimate the diagnostic power of the gene signature in our validation set.
resultsThe tumor necrosis factor (TNF) signaling via NF-κB pathway was significantly augmented with the highest normalized enrichment score (NES). The genes in the brown module from WGCNA have shown a significant correlation with CAC (Pearson coefficient = 0.83, p = 6e-06). A subset of NF-κB related genes (
conclusionIn summary, the increased expression of this seven-NF-κB-related gene signature may act as a powerful index for tumorigenesis prediction among patients with UC in remission.
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