ArticleJournal of cellular and molecular medicine2021
A novel autophagy-related lncRNA prognostic risk model for breast cancer.
Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.
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86 citing papers in PubMed, 125 citations in OpenAlex.
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- Non-coding RNAs as regulators of chromosomal instability in breast cancer.Frontiers in oncology · 2026Review
- A autophagy related gene signature to predict the prognosis of pancreatic carcinoma and tumor immune microenvironment evaluation.Scientific reports · 2025Article
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- Integrative Long Non-Coding RNA Analysis and Recurrence Prediction in Cervical Cancer Using a Recurrent Neural Network.Diagnostics (Basel, Switzerland) · 2025Article
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- Crosstalk between noncoding RNAs and autophagy in renal cell carcinoma: Deciphering molecular pathways and therapeutic prospects.Cancer cell international · 2025Review
- Prognosis model of patients with breast cancer based on metabolism-related LncRNAs.Discover oncology · 2025Article
- The expression of the lncRNAs USP30-AS1, ELFN1-AS1, GAS8-AS1, and SNHG11 in breast cancer samples from Iranian patients from 2014 to 2019: a cross-sectional study.BMC research notes · 2025Article
- Comprehensive Bioinformatic Analysis Reveals an Autophagy-related Gene Signature for Predicting Outcome, Immune Status, and Drug Sensitivity in Hepatocellular Carcinoma.Recent patents on anti-cancer drug discovery · 2025Article
- GdX inhibits the occurrence and progression of breast cancer by negatively modulating the activity of STAT3.Cancer biology & therapy · 2024Article
- Targeting protein tyrosine phosphatase non-receptor type 6 (PTPN6) as a therapeutic strategy in acute myeloid leukemia.Cell biology and toxicology · 2024Article
- Ferroptosis contributes to the progression of female-specific neoplasms, from breast cancer to gynecological malignancies in a manner regulated by non-coding RNAs: Mechanistic implications.Non-coding RNA research · 2024Review
- LINC00941 is a diagnostic biomarker for lung adenocarcinoma and promotes tumorigenesis through cell autophagy.Journal of cellular and molecular medicine · 2024Article
- GEnDDn: An lncRNA-Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network.Interdisciplinary sciences, computational life sciences · 2024Article
- Construction and validation of a hypoxia-related gene signature to predict the prognosis of breast cancer.BMC cancer · 2024Article
- Prognosis and chemotherapy drug sensitivity in liver hepatocellular carcinoma through a disulfidptosis-related lncRNA signature.Scientific reports · 2024Article
- A Novel Cellular Senescence-related lncRNA Signature for Predicting the Prognosis of Breast Cancer Patients.Journal of Cancer · 2024Article
26 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Long non-coding RNAs (lncRNAs) are well known as crucial regulators to breast cancer development and are implicated in controlling autophagy. LncRNAs are also emerging as valuable prognostic factors for breast cancer patients. It is critical to identify autophagy-related lncRNAs with prognostic value in breast cancer. In this study, we identified autophagy-related lncRNAs in breast cancer by constructing a co-expression network of autophagy-related mRNAs-lncRNAs from The Cancer Genome Atlas (TCGA). We evaluated the prognostic value of these autophagy-related lncRNAs by univariate and multivariate Cox proportional hazards analyses and eventually obtained a prognostic risk model consisting of 11 autophagy-related lncRNAs (U62317.4, LINC01016, LINC02166, C6orf99, LINC00992, BAIAP2-DT, AC245297.3, AC090912.1, Z68871.1, LINC00578 and LINC01871). The risk model was further validated as a novel independent prognostic factor for breast cancer patients based on the calculated risk score by Kaplan-Meier analysis, univariate and multivariate Cox regression analyses and time-dependent receiver operating characteristic (ROC) curve analysis. Moreover, based on the risk model, the low-risk and high-risk groups displayed different autophagy and oncogenic statues by principal component analysis (PCA) and Gene Set Enrichment Analysis (GSEA) functional annotation. Taken together, these findings suggested that the risk model of the 11 autophagy-related lncRNAs has significant prognostic value for breast cancer and might be autophagy-related therapeutic targets in clinical practice.
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