ArticleFrontiers in genetics2022
An autophagy-associated lncRNAs model for predicting the survival in non-small cell lung cancer patients.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Uncovering Immune Cell-Specific lncRNAs as Anti-PD-1 Response-Associated Markers in Breast Cancer.International journal of molecular sciences · 2026Article
- Lung Cancer Chemoresistance: Insights into the Regulatory Role of lncRNAs.Cancer management and research · 2026Review
- The Regulatory Role of LncRNAs in Modulating Autophagy and Drug Resistance in Non-Small-Cell Lung Cancer: Focus on Targeted Therapeutic Approaches.Biomolecules · 2025Review
- NF-κB in the Radiation Response of A549 Non-Small Cell Lung Cancer Cells to X-rays and Carbon Ions under Hypoxia.International journal of molecular sciences · 2024Article
- Disulfidptosis-Related lncRNA for the Establishment of Novel Prognostic Signature and Therapeutic Response Prediction to Endometrial Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Identification of a cuproptosis-related lncRNA prognostic signature in lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Article
- Characterization and Prognosis of Biological Microenvironment in Lung Adenocarcinoma through a Disulfidptosis-Related lncRNAs Signature.Genetics research · 2023Article
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7 authors.
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Abstract
Long non-coding RNAs (lncRNAs) can influence the proliferation, autophagy, and apoptosis of non-small cell lung cancer (NSCLC). LncRNAs also emerge as valuable prognostic factors for NSCLC patients. Consequently, we set out to discover more autophagy-associated lncRNAs. We acquired autophagy-associated genes and information on lncRNAs from The Cancer Genome Atlas database (TCGA), and the Human Autophagy Database (HADb). Then, the prognostic prediction signature was constructed through using co-expression and Cox regression analysis. The signature was constructed including 7 autophagy-associated lncRNAs (ABALON, NKILA, LINC00941, AL161431.1, AL691432.2, AC020765.2, MMP2-AS1). After that, we used univariate and multivariate Cox regression analysis to calculate the risk score. The survival analysis and ROC curve analysis confirmed good performances of the signature. GSEA indicated that the high-risk group was principally enriched in the adherens junction pathway. In addition, biological experiments showed that ABALON promoted the proliferation, metastasis and autophagy levels of NSCLC cells. These findings demonstrate that the risk signature consisting of 7 autophagy-associated lncRNAs accurately predicts the prognosis of NSCLC patients and should be investigated for potential therapeutic targets in clinic.
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