ArticleJournal of gastrointestinal oncology2022
Expression characteristics of long non-coding RNA in colon adenocarcinoma and its potential value for judging the survival and prognosis of patients: bioinformatics analysis based on The Cancer Genome Atlas database.
Article in Journal of gastrointestinal oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Uncovering alterations in cancer epigenetics via trans-dimensional Markov chain Monte Carlo and hidden Markov models.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026Article
- A new oxidative stress-related lncRNA signature predicts the prognosis of colorectal cancer patients.Discover oncology · 2026Article
- Cuproptosis: the mechanisms of copper-induced cell death and its implication in colorectal cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- A Prognostic Model for Senescence-Related LncRNA in a Novel Colon Adenocarcinoma Based on WGCNA and LASSO Regression.Biomedicines · 2025Article
- LINC02418 suppresses endometrial cancer progression via regulating miR-494-3p/RASGRF1 axis.Journal of molecular histology · 2025Article
- Article
- Potential Role of the Intratumoral Microbiota in Prognosis of Head and Neck Cancer.International journal of molecular sciences · 2023Article
- Comprehensive analysis of cuproptosis-related long noncoding RNA for predicting prognostic and diagnostic value and immune landscape in colorectal adenocarcinoma.Human genomics · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: To investigate the expression characteristics of long non-coding RNA (lncRNA) in colon adenocarcinoma (COAD) and its potential value in predicting the prognosis of patient survival. Methods: We downloaded COAD-related RNA sequencing (RNA-seq) data and patient survival data from The Cancer Genome Atlas (TCGA). The data were analyzed for lncRNA expression differences, subjected to Cox regression analysis for survival rate, and Kaplan-Meier (KM) survival curves were plotted to analyze the role of the key genes related to prognostic survival by pathway enrichment analysis. Results: The data of 494 COAD clinical samples from TCGA were analyzed; 204 lncRNAs were differentially expressed, 156 were up-regulated, and 48 were down-regulated. The 10 genes with the most significant expression differences were Conclusions: In COAD, lncRNA is differentially expressed and plays an important role in the disease regulation. It has potential application value in the diagnosis, targeted therapy, and prognosis of COAD patients.
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