ArticleJournal of translational medicine2020
Identification and validation of stemness-related lncRNA prognostic signature for breast cancer.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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74 citing papers in PubMed, 122 citations in OpenAlex.
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- Investigating combined hypoxia and stemness indices for prognostic transcripts in gastric cancer: Machine learning and network analysis approaches.Biochemistry and biophysics reports · 2025Article
- A novel stemness-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity of clear cell renal cell carcinoma.Journal of translational medicine · 2025Article
- Integrating bioinformatics and experimental validation to reveal a novel VRK score as a prognostic and therapeutic biomarker in hepatocellular carcinoma.Frontiers in immunology · 2025Article
- Lycorine affects tamoxifen resistance of breast cancer via mTranslational cancer research · 2024Article
- Importance of LINC00852/miR-145-5p in breast cancer: a bioinformatics and experimental study.Discover oncology · 2024Article
- Effects of Differentially Methylated CpG Sites in Enhancer and Promoter Regions on the Chromatin Structures of Target LncRNAs in Breast Cancer.International journal of molecular sciences · 2024Article
- As a novel prognostic model for breast cancer, the identification and validation of telomere-related long noncoding RNA signatures.World journal of surgical oncology · 2024Article
- Combining Molecular and Traditional Prognostic Factors: A Holistic Approach to Breast Cancer Prognostication.Diagnostics (Basel, Switzerland) · 2024Article
- Integrative analysis and risk model construction for super‑enhancer‑related immune genes in clear cell renal cell carcinoma.Oncology letters · 2024Article
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- Advances in prognostic models for osteosarcoma risk.Heliyon · 2024Review
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- A Novel Cellular Senescence-related lncRNA Signature for Predicting the Prognosis of Breast Cancer Patients.Journal of Cancer · 2024Article
- Identification of AP002498.1 and LINC01871 as prognostic biomarkers and therapeutic targets for distant metastasis of colorectal adenocarcinoma.Cancer medicine · 2024Article
- Integration of scRNA-seq and bulk RNA-seq constructs a stemness-related signature for predicting prognosis and immunotherapy responses in hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2023Article
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- Construction and validation of stemness-related lncRNA pair signature for predicting prognosis in colorectal cancer.Journal of cancer research and clinical oncology · 2023Article
14 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLong noncoding RNAs (lncRNAs) are emerging as crucial contributors to the development of breast cancer and are involved in the stemness regulation of breast cancer stem cells (BCSCs). LncRNAs are closely associated with the prognosis of breast cancer patients. It is critical to identify BCSC-related lncRNAs with prognostic value in breast cancer.
methodsA co-expression network of BCSC-related mRNAs-lncRNAs from The Cancer Genome Atlas (TCGA) was constructed. Univariate and multivariate Cox proportional hazards analyses were used to identify a stemness risk model with prognostic value. Kaplan-Meier analysis, univariate and multivariate Cox regression analyses and receiver operating characteristic (ROC) curve analysis were performed to validate the risk model. Principal component analysis (PCA) and Gene Set Enrichment Analysis (GSEA) functional annotation were conducted to analyze the risk model.
resultsIn this study, BCSC-related lncRNAs in breast cancer were identified. We evaluated the prognostic value of these BCSC-related lncRNAs and eventually obtained a prognostic risk model consisting of 12 BCSC-related lncRNAs (Z68871.1, LINC00578, AC097639.1, AP003119.3, AP001207.3, LINC00668, AL122010.1, AC245297.3, LINC01871, AP000851.2, AC022509.2 and SEMA3B-AS1). The risk model was further verified as a novel independent prognostic factor for breast cancer patients based on the calculated risk score. Moreover, based on the risk model, the low- risk and high-risk groups displayed different stemness statuses.
conclusionsThese findings suggested that the 12 BCSC-related lncRNA signature might be a promising prognostic factor for breast cancer and can promote the management of BCSC-related therapy in clinical practice.
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