ArticleScientific reports2024
Predicting bladder cancer survival with high accuracy: insights from MAPK pathway-related genes.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Integrative analysis identifies candidate biomarkers for bladder cancer: evidence from genomic and clinical validation.Molecular biology reports · 2026Article
- A powerful representation learning method for enhanced analysis of incomplete multi-omics data.NPJ systems biology and applications · 2026Article
- Article
- Glycolysis-mediated H3K18la modifications drive aggressive bladder cancer through metabolic and epigenetic reprogramming.Frontiers in immunology · 2026Article
- Bee Venom and Cancer: A Mini-review Focusing on Melittin Antitumoral Effects.Current drug targets · 2026Review
- Research progress on the role of AGC kinase family in bladder cancer.Discover oncology · 2025Review
- mTOR pathway targeted inhibition via Rapamycin-loaded PLGA nanoparticles for enhanced bladder cancer therapy.Scientific reports · 2025Article
- Pathway-based cancer transcriptome deciphers a high-resolution intrinsic heterogeneity within bladder cancer classification.Journal of translational medicine · 2025Article
- Prognostic value and molecular mechanism of photodynamic therapy and apoptosis related gene FGFR1 in bladder cancer.Frontiers in oncology · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
The mitogen-activated protein kinase (MAPK) pathway plays a critical role in tumor development and immunotherapy. Nevertheless, additional research is necessary to comprehend the relationship between the MAPK pathway and the prognosis of bladder cancer (BLCA), as well as its influence on the tumor immune microenvironment. To create prognostic models, we screened ten genes associated with the MAPK pathway using COX and least absolute shrinkage and selection operator (LASSO) regression analysis. These models were validated in the Genomic Data Commons (GEO) cohort and further examined for immune infiltration, somatic mutation, and drug sensitivity characteristics. Finally, the findings were validated using The Human Protein Atlas (HPA) database and through Quantitative Real-time PCR (qRT-PCR). Patients were classified into high-risk and low-risk groups based on the prognosis-related genes of the MAPK pathway. The high-risk group had poorer overall survival than the low-risk group and showed increased immune infiltration compared to the low-risk group. Additionally, the nomograms built using the risk scores and clinical factors exhibited high accuracy in predicting the survival of BLCA patients. The prognostic profiling of MAPK pathway-associated genes represents a potent clinical prediction tool, serving as the foundation for precise clinical treatment of BLCA.
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