Establishment of a novel ferroptosis-related lncRNA pair prognostic model in colon adenocarcinoma.

Aging (Albany NY)

Department of Radiation Oncology, The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China.

Published: October 2021

AI Article Synopsis

  • Long non-coding RNAs (lncRNAs) have been identified as important prognostic factors in cancer, specifically in colon adenocarcinoma (COAD).
  • A new ferroptosis-related lncRNA (frlncRNA) pair signature was developed by analyzing data from The Cancer Genome Atlas (TCGA), using co-expression and risk score models to assess prognostic value.
  • The study found that a risk score model based on 25 identified DEfrlncRNA pairs effectively predicts survival rates, showing high accuracy and independence from traditional clinicopathological factors, with notable correlations to immune-related factors and signaling pathways.

Article Abstract

Long non-coding RNAs (lncRNAs) have been reported to be prognostic factors for cancer. Ferroptosis is an iron-dependent process of programmed cell death. Here, we established a ferroptosis-related lncRNA (frlncRNA) pair signature and revealed its prognostic value in colon adenocarcinoma (COAD) by analyzing the data from The Cancer Genome Atlas (TCGA). FrlncRNAs were identified based on co-expression analysis using the Pearson correlation. Differentially expressed frlncRNAs (DEfrlncRNAs) were recognized and paired, followed by prognostic assessment using univariate Cox regression analysis. The least absolute shrinkage and selection operator (LASSO) penalized Cox analysis was used to determine and construct a risk score prognostic model, by which the receiver operating characteristic (ROC) curves for predicting the overall survival (OS) were conducted. Following the evaluation of whether it was an independent prognostic factor, correlations between the risk score model and clinicopathological characteristics, hypoxia- and immune-related factors, and somatic variants were investigated. In total, 148 DEfrlncRNA pairs were identified, 25 of which were involved in a risk score prognostic signature. The area under ROC curves (AUCs) representing the predictive effect for 1-, 3-, and 5-year survival rates were 0.860, 0.885, and 0.934, respectively. The risk score model was confirmed as an independent prognostic factor and was significantly superior to the clinicopathological characteristics. Correlation analyses showed disparities in clinicopathological characteristics, hypoxia- and immune-related factors, and somatic variants, as well as specific signaling pathways between high- and low-risk groups. The novel risk score prognostic model constructed by pairing DEfrlncRNAs showed promising clinical prediction value in COAD.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544324PMC
http://dx.doi.org/10.18632/aging.203599DOI Listing

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