Comprehensive analysis of ferroptosis-related long non-coding RNA and its association with tumor progression and ferroptosis in gastric cancer
- Shenglan Huang 1, Kan Liu 1, Queling Liu 1, Si Tao 1, Hua Wang 2
- Shenglan Huang 1, Kan Liu 1, Queling Liu 1
- 1Department of Oncology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, Jiangxi Province, 330006, P.R. China.
- 2Department of Oncology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, Jiangxi Province, 330006, P.R. China. dcwanghua@126.com.
- 0Department of Oncology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, Jiangxi Province, 330006, P.R. China.
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View abstract on PubMed
Summary
This summary is machine-generated.Researchers developed a new prognostic risk model for gastric cancer (GC) using eight ferroptosis-related long non-coding RNAs (lncRNAs). This model accurately predicts patient survival and identifies potential diagnostic markers for improved gastric cancer outcomes.
Area Of Science
- Oncology
- Molecular Biology
- Genetics
Background
- Gastric cancer (GC) presents a significant global health challenge with a generally poor prognosis.
- Ferroptosis, a distinct form of programmed cell death, is increasingly recognized for its role in cancer development and progression.
Purpose Of The Study
- To develop a novel prognostic risk model for gastric cancer based on ferroptosis-related long non-coding RNAs (lncRNAs).
- To identify potential novel diagnostic markers for gastric cancer.
- To investigate the functional role of key genes within the risk signature.
Main Methods
- Utilized The Cancer Genome Atlas (TCGA) database to identify eight ferroptosis-related lncRNAs for model construction.
- Employed survival analysis and Receiver Operating Characteristic (ROC) curve analysis to evaluate the model's predictive performance.
- Performed Gene Set Enrichment Analysis (GSEA) to explore the biological pathways associated with the identified lncRNAs.
- Conducted functional assays (e.g., knockdown) to assess the role of the key gene HAGLR in GC progression.
Main Results
- A prognostic risk model comprising eight ferroptosis-related lncRNAs was successfully established for gastric cancer.
- Patients in the high-risk group exhibited significantly worse overall survival (OS) compared to the low-risk group.
- The developed risk model demonstrated superior predictive accuracy for GC prognosis compared to traditional clinicopathological features.
- Gene Set Enrichment Analysis indicated that these lncRNAs are involved in cell adhesion, cancer pathways, and immune function regulation.
- The key gene HAGLR was found to be upregulated in GC tissues and its knockdown inhibited GC cell proliferation and migration while promoting apoptosis and ferroptosis.
Conclusions
- A novel ferroptosis-related prognostic risk signature, consisting of eight lncRNAs, has been developed for gastric cancer.
- This risk signature holds potential for improving the accuracy of prognostic prediction in patients with gastric cancer.
- The findings highlight the significant role of ferroptosis-related lncRNAs in gastric cancer pathogenesis and prognosis.
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