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May 23, 2026Discover OncologyOpen Access

Integrating machine learning and structural analysis to decipher benzoapyrene-induced bladder cancer networks

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Authors

XZXinzhao ZhaoRQRuize QinCSChengquan Shen

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Overview

Randomized trial identifies key genes in bladder cancer linked to benzo[a]pyrene, suggesting new therapeutic targets.

Key Points

  • This research aims to identify critical genes involved in benzo[a]pyrene-induced bladder cancer.
  • Analyzed GEO datasets for BaP-related differentially expressed genes.
  • Integrated machine learning, molecular docking, and single-cell transcriptomics.
  • Identified 19 significant genes with 7 prioritized as key drivers in bladder cancer.
  • Identified 19 significant genes associated with BaP, with GSK3B and SKP2 highlighted as key players.
  • Single-cell analysis showed cell-type specific expression of these genes in the tumor microenvironment.
  • Molecular dynamics simulations indicated interactions between BaP and identified target proteins.

Cite This Study

Zhao et al. (2026) studied this question.

synapsesocial.com/papers/6a11471e48a409a3a49e041fhttps://doi.org/10.1007/s12672-026-05207-6
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