ArticleTranslational andrology and urology2021
The influence of lncRNAs on the prognosis of prostate cancer based on TCGA database.
Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Integrative profiling of lactylation reveals prognostic biomarkers and an immunosuppressive niche in acute myeloid leukemia.Frontiers in immunology · 2026Article
- Multi-omics analyses related to unfolded protein response in prostate cancer implicate pro-tumor role of IFRD1.Frontiers in immunology · 2026Article
- Identification and mechanism of key genes in inflammatory response of chronic otitis media in rats.Scientific reports · 2025Article
- Machine learning-based integration develops a mitophagy-related lncRNA signature for predicting the progression of prostate cancer: a bioinformatic analysis.Discover oncology · 2024Article
- Comprehensive data mining reveals RTK/RAS signaling pathway as a promoter of prostate cancer lineage plasticity through transcription factors and CNV.Scientific reports · 2024Article
- Multi-omics approach for identifying CNV-associated lncRNA signatures with prognostic value in prostate cancer.Non-coding RNA research · 2024Article
- Castration-resistant prostate cancer monitoring by cell-free circulating biomarkers.Frontiers in oncology · 2024Review
- BIND&MODIFY: a long-range method for single-molecule mapping of chromatin modifications in eukaryotes.Genome biology · 2023Article
- Comprehensive Characterization of Ageing-Relevant Subtypes Associated With Different Tumorigenesis and Tumor Microenvironment in Prostate Cancer.Frontiers in molecular biosciences · 2022Article
- Role of Long Non-Coding RNA LINC00641 in Cancer.Frontiers in oncology · 2021Review
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6 authors.
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Abstract
backgroundProstate adenocarcinoma (PRAD) is a common male urinary system cancer globally with a poor prognosis. Our research aims to explore the role of LncRNA in the occurrence and prognosis of prostate cancer and its underlying mechanism.
methodsThe biomaRt package screened for the differentially expressed lncRNA. The survival package was used to identify lncRNAs related to prognosis. The survminer package completed the Kaplan-Meier survival curves. WGCNA (Weighted Gene Co-Expression Network Analysis) screened for the co-expressed genes. The ClusterProfiler package implemented the analysis results of GO (gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes).
resultsWe performed differential expression analysis on the TCGA (The Cancer Genome Atlas) database to determine the association between LncRNA and Prostate cancer. The data of 500 Prostate cancer patients were tested. 6 LncRNAs (AC245884.1, LINC01524, AL807752.4, AP000844.2, AC016590.1, LINC00641) were selected as independent prognostic factors using statistical analysis methods, and their value was tested through multivariate COX analysis and Kaplan-Meier survival analysis. Through the study of co-expressed genes, the biological processes of these lncRNA enrichment are the perception and conduction of smell and taste. The specific carcinogenic and cancer-promoting mechanisms need further study.
conclusionsThis study shows that lncRNA has a certain predictive effect on prostate cancer occurrence and prognosis and can be a new biomarker for prostate cancer survival and potential treatment targets.
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