AI Article Synopsis
- The study investigates the relationship between cell metabolism and long noncoding RNA (lncRNA) in colon adenocarcinoma (COAD), filling a gap in understanding their connection in cancer development.
- Using data from The Cancer Genome Atlas, researchers analyzed gene expression differences between tumor and normal colon tissues, identifying 152 metabolism-associated lncRNAs (MRLncRNAs).
- A predictive model was built from four key lncRNAs, indicating that COAD patients in the high-risk group had worse overall survival, while confirming that the lncRNA signature acts as an independent prognostic factor.
Article Abstract
Background: Cell metabolism and long noncoding RNA (lncRNA) played crucial roles in cancer development. However, their association in colon adenocarcinoma (COAD) remains unclear.
Methods: The COAD gene expression data and corresponding clinical data were retrieved from The Cancer Genome Atlas (TCGA) database. Differential expression of metabolic genes and lncRNA were identified by comparing tumor and normal colon tissues. Pearson correlation analysis was performed to identify metabolism-associated lncRNA. COAD patients were divided into training cohort and validation cohort by randomization. Then, a univariate Cox regression analysis was introduced to evaluate the correlations between metabolism-related lncRNAs and overall survival (OS) of the patients in the training cohort. The least absolute shrinkage and selection operator (LASSO) method was introduced to determine and establish a prognostic prediction model. Subsequently, survival analysis, receiver operating characteristic (ROC) curve analysis, and Cox regression analysis were generated to estimate the prognostic role of the LncRNA risk score in training, validation, and entire cohorts.
Results: We identified 152 differentially expressed metabolism-associated lncRNAs (MRLncRNAs). A prognostic prediction model involving four metabolism-related lncRNAs were established using LASSO. In each cohort, COAD patients in the high-risk group had worse OS compared to those in the low-risk group. The ROC analyses demonstrated that the lncRNA signature performed well in predicting OS. Uni- and multivariate analysis indicated that the lncRNA signature as an independent prognostic factor. Furthermore, a correlation analysis demonstrated that LINC01138 was the most closely lncRNA related to metabolic genes. In vitro assays demonstrated that LINC01138 affects tumor progression in COAD.
Conclusions: In summary, we established a metabolism-associated lncRNAs model to predict the prognosis in COAD patients.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028123 | PMC |
| http://dx.doi.org/10.1002/cam4.5412 | DOI Listing |
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