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The Roles of miRNAs in Predicting Bladder Cancer Recurrence and Resistance to Treatment.

Sanjna DasJoshua HaydenTravis B SullivanKimberly Rieger-Christ
Published in: International journal of molecular sciences (2023)
Bladder cancer (BCa) is associated with significant morbidity, with development linked to environmental, lifestyle, and genetic causes. Recurrence presents a significant issue and is managed in the clinical setting with intravesical chemotherapy or immunotherapy. In order to address challenges such as a limited supply of BCG and identifying cases likely to recur, it would be advantageous to use molecular biomarkers to determine likelihood of recurrence and treatment response. Here, we review microRNAs (miRNAs) that have shown promise as predictors of BCa recurrence. MiRNAs are also discussed in the context of predicting resistance or susceptibility to BCa treatment.
Keyphrases
  • free survival
  • cardiovascular disease
  • physical activity
  • squamous cell carcinoma
  • type diabetes
  • genome wide
  • machine learning
  • rectal cancer
  • deep learning
  • human health
  • locally advanced
  • risk assessment