ArticleAnalytical cellular pathology (Amsterdam)2020
Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database.
Article in Analytical cellular pathology (Amsterdam), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 27 citations in OpenAlex.
- A screening strategy based on machine learning for diagnostic biomarkers in small cell lung cancer.PloS one · 2026Article
- BRCAGenie: A machine learning-driven 43-gene polygenic risk score model for precision prediction of breast cancer survival.Journal of translational medicine · 2025Article
- Identification and prognostic significance of Ki-67-related genes in triple negative breast cancer.Discover oncology · 2025Article
- The Expression Profiles of lncRNAs Are Associated with Neoadjuvant Chemotherapy Resistance in Locally Advanced, Luminal B-Type Breast Cancer.International journal of molecular sciences · 2024Article
- CircRNA/lncRNA-miRNA-mRNA network and gene landscape in calcific aortic valve disease.BMC genomics · 2023Article
- Cuproptosis-related lncRNA signature for prognostic prediction in patients with acute myeloid leukemia.BMC bioinformatics · 2023Article
- LINC00426 is a potential immune phenotype-related biomarker and an overall survival predictor in PAM50 luminal B breast cancer.Frontiers in genetics · 2023Article
- Construction of a prognostic 6-gene signature for breast cancer based on multi-omics and single-cell data.Frontiers in oncology · 2023Article
- Analysis of C-X-C motif chemokine receptors in breast cancer: potential value in immunotherapy and prognostic prediction.Annals of translational medicine · 2022Article
- Role of androgen receptor signaling pathway-related lncRNAs in the prognosis and immune infiltration of breast cancer.Scientific reports · 2022Article
- Weighted Gene Coexpression Network Analysis Identifies TBC1D10C as a New Prognostic Biomarker for Breast Cancer.Analytical cellular pathology (Amsterdam) · 2022Article
- Development and Validation of Ferroptosis-Related lncRNAs as Prognosis and Diagnosis Biomarkers for Breast Cancer.BioMed research international · 2022Article
- Article
- Long noncoding RNA RP11-909N17.2 presages a poor prognosis of non-small cell lung cancer.Cancer biomarkers : section A of Disease markers · 2022Article
- mAmerican journal of translational research · 2022Article
- Tumor Microenvironment Subtypes and Immune-Related Signatures for the Prognosis of Breast Cancer.BioMed research international · 2021Article
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4 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Long noncoding RNA (lncRNA) plays a critical role in the development of tumors. The aim of our study was construction of a lncRNA signature model to predict breast cancer (BRCA) patient survival. We downloaded RNA-seq data and relevant clinical information from the Cancer Genome Atlas (TCGA) database. Differentially expressed lncRNA were computed using the "edgeR" package and subjected to the univariate and multivariate Cox regression analysis. Corresponding protein-coding genes were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis. Finally, 521 differentially expression lncRNA were obtained. We constructed a ten-lncRNA signature model (LINC01208, RP5-1011O1.3, LINC01234, LINC00989, RP11-696F12.1, RP11-909N17.2, CTC-297N7.9, CTA-384D8.34, CTC-276P9.4, and MAPT-IT1) to predict BRCA patient survival using the multivariate Cox proportional hazard regression model. The C-index was 0.712, and AUC scores of training, test, and entire sets were 0.746, 0.717, and 0.732, respectively. Univariate Cox regression analysis indicated that age, tumor status, N status, M status, and risk score were significantly related to overall survival in patients with BRCA. Further, the multivariate analysis showed that risk score and M status had outstanding independent prognostic values, both with
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