Transcriptome and single-cell RNA sequencing analysis with 101 machine learning combinations and experimental verification reveals the mechanism of action of mannose metabolism in bladder cancer | Synapse
March 3, 2026Open Access
Transcriptome and single-cell RNA sequencing analysis with 101 machine learning combinations and experimental verification reveals the mechanism of action of mannose metabolism in bladder cancer
Key Points
Macrophages are confirmed as critical cells influencing bladder cancer prognosis, validating their role in the metabolic process.
Four key mannose metabolism-related prognostic genes were identified, offering new insights into disease progression.
Analysis combines transcriptome and single-cell RNA sequencing with 101 machine learning methods, enhancing accuracy.
Implications support improved prognostic assessment in bladder cancer, suggesting potential therapeutic targets.
Abstract
Four mannose metabolism-related prognostic genes were identified in BLCA, and macrophages were confirmed as critical cells. These findings provide valuable insights for improving prognostic assessment in BLCA.