Knockdown of Glycolysis-Related LINC01070 Inhibits the Progression of Breast Cancer
View abstract on PubMed
Summary
This summary is machine-generated.This study developed a prognostic model using glycolysis-related long non-coding RNAs (lncRNAs) to predict breast cancer outcomes. The model accurately identifies patients with better prognoses, highlighting LINC01070 as a potential biomarker.
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Glycolysis and long non-coding RNAs (lncRNAs) are implicated in tumor development.
- Identifying reliable biomarkers for breast cancer prognosis is crucial for patient management.
Purpose Of The Study
- To construct a novel prognostic model for breast cancer based on glycolysis-related lncRNAs (GRLs).
- To evaluate the predictive and diagnostic efficacy of the developed prognostic signature.
- To investigate the functional role of a specific GRL, LINC01070, in breast cancer progression.
Main Methods
- Utilized Pearson correlation and Lasso regression analysis on TCGA and GSEA datasets to identify GRLs.
- Constructed a prognostic risk signature based on nine identified GRLs.
- Performed Kaplan-Meier survival, Cox regression, and ROC curve analyses for validation.
- Conducted in vitro assays (clone formation, EdU, Transwell) to assess LINC01070 function.
Main Results
- Identified a nine-GRL prognostic signature with significant predictive value for breast cancer patient survival (AUCs of 0.78, 0.71, 0.71 at 1, 3, 5 years).
- The low-risk group demonstrated a significantly better prognosis.
- Knockdown of LINC01070 inhibited breast cancer cell proliferation and migration.
- The signature exhibited strong diagnostic efficacy and clinical predictive power.
Conclusions
- A novel prognostic risk signature based on GRLs accurately predicts breast cancer patient outcomes.
- LINC01070 serves as a potential biomarker for predicting breast cancer prognosis and warrants further investigation.
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