Ferroptosis-related long non-coding RNA signature predicts the prognosis of hepatocellular carcinoma: A Review. Issue 47 (25th November 2022)
- Record Type:
- Journal Article
- Title:
- Ferroptosis-related long non-coding RNA signature predicts the prognosis of hepatocellular carcinoma: A Review. Issue 47 (25th November 2022)
- Main Title:
- Ferroptosis-related long non-coding RNA signature predicts the prognosis of hepatocellular carcinoma: A Review
- Authors:
- Bu, Fan
Yin, Shijie
Guan, Ruiqian
Xiao, Yao
Zeng, ShuLin
Zhao, Yonghou - Abstract:
- Abstract : Introduction: Hepatocellular carcinoma (HCC) is a liver cancer. In contrast, ferroptosis is a novel iron-dependent and ROS reliant type of cell death that is observed under various disease conditions. Methods and analysis: RNA sequencing data from HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Ferroptosis-related long non-coding RNAs (lncRNAs) were screened by Pearson correlation analysis. Patients were randomized into training or testing sets in a 1:1 ratio. They were constructed in the training set using univariate-Lasso and multivariate Cox regression analysis and further tested for prognostic values in the testing set. Four lncRNAs were identified. Kaplan–Meier analysis showed that patients in the high-risk group had a worse prognosis than those in the low-risk group. Following differentially expressed genes analysis of these two groups. Functional analysis showed association with oxidative stress response. Cox regression analyses showed that risk score was an independent prognostic indicator. Receiver operating characteristic curve (ROC) and decision curve analysis demonstrated the accuracy of prediction. Four ferroptosis-related lncRNAs based on differential expression of HCC were screened by bioinformatic methods to construct a prognostic risk model and accurately predict the prognosis of HCC patients. Four lncRNAs may have a potential role in the anti-tumor immune process and serve as therapeutic targets for HCC. To lay theAbstract : Introduction: Hepatocellular carcinoma (HCC) is a liver cancer. In contrast, ferroptosis is a novel iron-dependent and ROS reliant type of cell death that is observed under various disease conditions. Methods and analysis: RNA sequencing data from HCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Ferroptosis-related long non-coding RNAs (lncRNAs) were screened by Pearson correlation analysis. Patients were randomized into training or testing sets in a 1:1 ratio. They were constructed in the training set using univariate-Lasso and multivariate Cox regression analysis and further tested for prognostic values in the testing set. Four lncRNAs were identified. Kaplan–Meier analysis showed that patients in the high-risk group had a worse prognosis than those in the low-risk group. Following differentially expressed genes analysis of these two groups. Functional analysis showed association with oxidative stress response. Cox regression analyses showed that risk score was an independent prognostic indicator. Receiver operating characteristic curve (ROC) and decision curve analysis demonstrated the accuracy of prediction. Four ferroptosis-related lncRNAs based on differential expression of HCC were screened by bioinformatic methods to construct a prognostic risk model and accurately predict the prognosis of HCC patients. Four lncRNAs may have a potential role in the anti-tumor immune process and serve as therapeutic targets for HCC. To lay the foundation for subsequent studies. … (more)
- Is Part Of:
- Medicine. Volume 101:Issue 47(2022)
- Journal:
- Medicine
- Issue:
- Volume 101:Issue 47(2022)
- Issue Display:
- Volume 101, Issue 47 (2022)
- Year:
- 2022
- Volume:
- 101
- Issue:
- 47
- Issue Sort Value:
- 2022-0101-0047-0000
- Page Start:
- e31747
- Page End:
- Publication Date:
- 2022-11-25
- Subjects:
- HCC -- ferroptosis-related -- lncRNA -- prognosis
Medicine -- Periodicals
Medicine -- Periodicals
Médecine -- Périodiques
Geneeskunde
Medicine
Periodicals
Periodicals
610.5 - Journal URLs:
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http://gateway.ovid.com/ovidweb.cgi?T=JS&PAGE=toc&D=ovft&MODE=ovid&NEWS=N&AN=00002060-000000000-00000 ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/MD.0000000000031747 ↗
- Languages:
- English
- ISSNs:
- 0025-7974
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