ArticleTranslational andrology and urology2021
Construction and analysis of a ceRNA network and patterns of immune infiltration in bladder cancer.
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 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The miRNA-immune axis in bladder cancer: systematic evidence for a new era of immunotherapy precision.Frontiers in immunology · 2025Pooled it
- SNP-Driven LncRNA H19 dysregulation and CeRNA axis in breast and thyroid cancers among Pakistani females.Molecular biology reports · 2026Article
- Advanced machine learning unveils CD8 + T cell genetic markers enhancing prognosis and immunotherapy efficacy in breast cancer.BMC cancer · 2024Article
- The urothelial gene regulatory network: understanding biology to improve bladder cancer management.Oncogene · 2024Review
- Validation the role of desmocollin-2 in osteosarcoma based on single cell and bulk RNA seq and experimental analyses.Journal of Cancer · 2023Article
- A Prognostic Model of Colon Cancer Based on the Microenvironment Component ScoreIn vivo (Athens, Greece)Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundBladder cancer (BC) is the ninth most common malignant tumor, accounting for an estimate of 549,000 new BC cases and 200,000 BC-related deaths worldwide in 2018. The prognosis of BC has not substantially improved despite significant advances in the diagnosis and treatment of the disease.
methodsThe RNA sequencing (RNA-seq) data and clinical information of BC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) algorithm was used to assess immune infiltration. The survival analyses were performed using the selected components of a ceRNA network and selected immune cell types by least absolute shrinkage and selection operator (LASSO) Cox regression to calculate the risk score. The accuracy of prognosis prediction was determined by receiver operating characteristic (ROC) curves, survival curves, and nomograms. Finally, the correlation analysis was performed to investigate the relationships between the signature components of the ceRNA network and the immune cell signature.
resultsTwo completed survival analyses included selected components of the ceRNA network (ELN, SREBF1, DSC2, TTLL7, DIP2C, SATB1, hsa-miR-20a-5p, and hsa-miR-29c-3p) and selected immune cell types (M0 macrophages, M2 macrophages, resting mast cells, and neutrophils). ROC curves, survival curves (all P values <0.05), nomograms, and calibration curves indicated that the accuracy of the two survival analyses was acceptable. Moreover, the correlations between TTLL7 and resting mast cells (R=0.24, P<0.001), DSC2 and resting mast cells (R=-0.23, P<0.001), ELN and resting mast cells (R=0.44, P<0.001), and hsa-miR-29c-3p and M0 macrophages (R=-0.29, P<0.001) were significant, indicating that interactions of these factors may play significant roles in the prognosis of BC.
conclusionsTTLL7, DSC2, ELN, hsa-miR-29c-3p, resting mast cells, and M0 macrophages may play an important role in the development of BC. However, additional studies are needed to confirm this hypothesis.
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