ArticleWorld journal of gastrointestinal surgery2021
Nine-long non-coding ribonucleic acid signature can improve the survival prediction of colorectal cancer.
Article in World journal of gastrointestinal surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Four centrosome-related genes to predict the prognosis and drug sensitivity of patients with colon cancer.World journal of gastrointestinal oncology · 2024Article
- Long Non-coding RNA Signature for Liver Metastasis of Colorectal Cancers.Frontiers in cell and developmental biology · 2021Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundInvestigating molecular biomarkers that accurately predict prognosis is of considerable clinical significance. Accumulating evidence suggests that long non-coding ribonucleic acids (lncRNAs) are frequently aberrantly expressed in colorectal cancer (CRC).
aimTo elucidate the prognostic function of multiple lncRNAs serving as biomarkers in CRC.
methodsWe performed lncRNA expression profiling using the lncRNA mining approach in large CRC cohorts from The Cancer Genome Atlas (TCGA) database. Receiver operating characteristic analysis was performed to identify the optimal cutoff point at which patients could be classified into the high-risk or low-risk groups. Based on the Cox coefficient of the individual lncRNAs, we identified a nine-lncRNA signature that was associated with the survival of CRC patients in the training set (
resultsMultivariate Cox regression and stratification analysis demonstrated that this nine-lncRNA signature was independent of other clinical features in predicting overall survival. Functional enrichment analysis of Kyoto Encyclopedia of Genes and Genomes pathways and Gene Ontology terms further indicated that these nine prognostic lncRNAs were closely associated with carcinogenesis-associated pathways and biological functions in CRC.
conclusionA nine-lncRNA expression signature was identified and validated that could improve the prognosis prediction of CRC, thereby providing potential prognostic biomarkers and efficient therapeutic targets for patients with CRC.
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