Ferroptosis-related long noncoding RNA signature predicts the prognosis of clear cell renal cell carcinoma / Liu Jiawen
Clear Cell Renal Cell Carcinoma (ccRCC) is very common and accounts for most kidney cancer deaths. While many studies are being conducted in finding the prognosis signatures of ccRCC, we believe that ferroptosis, that involves programmed cell death dependent on iron accumulation has therapeutic p...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Published: |
2022
|
Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/14729/1/Liu_Jiawen.pdf http://studentsrepo.um.edu.my/14729/2/Liu_Jiawen.pdf http://studentsrepo.um.edu.my/14729/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Clear Cell Renal Cell Carcinoma (ccRCC) is very common and accounts for most kidney
cancer deaths. While many studies are being conducted in finding the prognosis
signatures of ccRCC, we believe that ferroptosis, that involves programmed cell death
dependent on iron accumulation has therapeutic potential in ccRCC. Recent research
showed that long noncoding RNAs (lncRNAs) have been shown to be involved in
ferroptosis-related tumor processes and are closely related to survival in patients with
ccRCC. Hence in this study we aim to further explore the role of ferroptosis-related
lncRNAs (FRLs) in ccRCC, hoping to establish a signature to predict the survival
outcome of ccRCC. Here we analyzed transcriptome data from The Cancer Genome Atlas
database (TCGA) and ferroptosis-related genes (FRGs) from FerrDb to identify FRLs
using Pearson’s correlation. Lasso Cox regression analysis and multivariate Cox
proportional hazards models screened seventeen optimal FRLs for developing prognostic
signatures. Kaplan–Meier survival curves and receiver operating characteristic (ROC)
curves were then plotted for validating the sensitivity, specificity, and accuracy of the
identified signatures. CIBERSORT algorithm were deployed to explore the role of these
FRLs in tumor microenvironment (TME). It was concluded that these models
demonstrate excellent performance in predicting prognosis among patients with ccRCC
and which also indicated association with the clinicopathologic parameters such as tumor
grade, tumor stage and tumor immune infiltration. In conclusion, our findings provide
novel insights into ferroptosis-related lncRNAs in ccRCC which are important targets for
investigating the tumorigenesis of ccRCC.
|
---|