An Inflammation-Related lncRNA Signature for Prognostic Prediction in Colorectal Cancer
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a 13-inflammation-related long noncoding RNA (IRL) signature to predict colorectal cancer (CRC) prognosis. This novel IRL signature shows promise as a biomarker for improved CRC patient evaluation and clinical decision-making.
Area Of Science
- Oncology
- Molecular Biology
- Bioinformatics
Background
- Colorectal cancer (CRC) is a prevalent digestive system malignancy.
- Long noncoding RNAs (lncRNAs) are increasingly implicated in cancer development.
- The role of inflammation-related lncRNAs (IRLs) in CRC pathogenesis remains largely undefined.
Purpose Of The Study
- To develop a prognostic signature based on IRLs for colorectal cancer.
- To investigate the underlying molecular mechanisms of IRLs in CRC.
- To assess the signature's association with the tumor immune microenvironment.
Main Methods
- Utilized RNA-sequencing data from The Cancer Genome Atlas (TCGA) and inflammation-associated genes from GeneCards.
- Identified differentially expressed IRLs using R and constructed a prognostic model with 13 IRLs via LASSO regression.
- Validated the model's prognostic value using Kaplan-Meier and ROC analyses, and assessed immune cell infiltration.
Main Results
- A 13-IRL signature was established, classifying CRC patients into distinct risk groups.
- The IRL signature demonstrated superior prognostic prediction compared to traditional clinicopathological features.
- Significant differences in immune cell populations, including CD4+ T cells and M2 macrophages, were observed between risk groups.
Conclusions
- The developed 13-IRL signature serves as a potent biomarker for colorectal cancer.
- This signature holds potential for enhancing clinical decision-making and prognostic assessment in CRC.
- The findings highlight the role of IRLs in CRC and their association with immune profiles.
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