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Molecular Landscape of Bladder Cancer: Key Genes, Transcription Factors, and Drug Interactions

Danishuddin1, Md Azizul Haque1, Shawez Khan2

  • 1Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.

International Journal of Molecular Sciences
|October 26, 2024
PubMed

Insights

This study identifies ten key genes involved in bladder cancer progression. These genes offer potential for developing new diagnostic markers and targeted therapies for improved patient outcomes.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Bladder cancer is a highly malignant urinary system tumor with established treatments.
  • Recent research focuses on elucidating molecular mechanisms for novel therapeutic strategies.
  • Understanding gene expression is crucial for identifying diagnostic markers and targeted therapies.

Purpose of the Study:

  • To identify novel diagnostic markers for bladder cancer.
  • To discover more effective targeted therapies for bladder cancer.
  • To explore the molecular mechanisms underlying bladder cancer.

Main Methods:

  • Utilized The Cancer Genome Atlas (TCGA) data to identify differentially expressed genes (DEGs).
  • Performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.
  • Constructed a protein-protein interaction (PPI) network and conducted Gene Set Variation Analysis (GSVA).

Main Results:

  • Identified ten key genes significantly associated with bladder cancer: IL6, CCNA2, CCNB1, CDK1, PLK1, TOP2A, AURKA, AURKB, FOXM1, and CALML5.
  • GSVA revealed these genes' involvement in coagulation, UV-response-down, apoptosis, Notch, and Wnt/beta-catenin signaling pathways.
  • Validated diagnostic relevance using ROC curve analysis and identified potential drug interactions.

Conclusions:

  • The ten identified key genes provide valuable insights into bladder cancer pathogenesis.
  • These genes and their drug interactions may serve as potential biomarkers for diagnosis and prognosis.
  • This research opens new avenues for enhancing bladder cancer diagnosis and treatment strategies.
Keywords:
DEGsbiomarkersbladder cancertranscription factors

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