Senescence-Related LncRNAs: Pioneering Indicators for Ovarian Cancer Outcomes
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies senescence-related long non-coding RNAs (SnRlncRNAs) as key prognostic biomarkers for ovarian cancer (OC). The developed risk signature offers superior predictive accuracy for patient outcomes and therapeutic response.
Area Of Science
- Gynecological Oncology
- Molecular Biology
- Bioinformatics
Background
- Ovarian cancer (OC) is the most lethal gynecological malignancy, necessitating improved prognostic tools.
- Long non-coding RNAs (lncRNAs), particularly senescence-related lncRNAs (SnRlncRNAs), play a critical role in OC progression and prognosis.
Purpose Of The Study
- To identify and validate SnRlncRNAs as prognostic biomarkers for ovarian cancer.
- To develop a robust risk signature for predicting OC patient outcomes and therapeutic response.
Main Methods
- Utilized GTEx and TCGA datasets to identify SnRlncRNAs.
- Constructed a risk signature using co-expression, differential expression, Cox regression, and LASSO.
- Validated the signature using time-dependent ROC, multivariate Cox regression, and ICGC data.
- Performed GSEA and consensus clustering for pathway and subgroup analysis.
Main Results
- A validated risk signature demonstrated robust predictive accuracy, outperforming traditional clinical indicators (stage, grade).
- Low-risk patients exhibited increased immune infiltration and differential drug sensitivities.
- Consensus clustering identified four distinct patient subgroups with varying survival rates based on 17 SnRlncRNAs.
Conclusions
- The developed SnRlncRNA-based risk signature is a reliable prognostic tool for ovarian cancer.
- These biomarkers offer potential for improved clinical decision-making, risk stratification, and predicting response to anticancer therapies.
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