Machine learning-assisted radiogenomic analysis for miR-15a expression prediction in renal cell carcinoma.

Journal: BMC cancer
Published Date: Aug 20, 2025

Abstract

BACKGROUND: Renal cell carcinoma (RCC) is a prevalent malignancy with highly variable outcomes. MicroRNA-15a (miR-15a) has emerged as a promising prognostic biomarker in RCC, linked to angiogenesis, apoptosis, and proliferation. Radiogenomics integrates radiological features with molecular data to non-invasively predict biomarkers, offering valuable insights for precision medicine. This study aimed to develop a machine learning-assisted radiogenomic model to predict miR-15a expression in RCC.

Authors

  • Yulian Mytsyk
    Voxel Medical Diagnostic Centers, Katowice, Poland. mytsyk.yulian@gmail.com.
  • Paweł Kowal
    Department of Urology, Regional Specialist Hospital, Wroclaw, Poland.
  • Yuriy Kobilnyk
    Department of Urology, St. Padre Pio Regional Hospital in Przemysl, Przemysl, Poland.
  • Mateusz Lesny
    Department of Urology, St. Padre Pio Regional Hospital in Przemysl, Przemysl, Poland.
  • Michał Skrzypczyk
    Department of Urology, Centre of Postgraduate Medical Education, Independent Public Hospital of Prof. W. Orlowski, Warsaw, Poland.
  • Dmytro Stroj
    Department of General and Molecular Pathophysiology, Bogomoletz Institute of Physiology of National Academy of Sciences of Ukraine, Kiev, Ukraine.
  • Victor Dosenko
    Department of General and Molecular Pathophysiology, Bogomoletz Institute of Physiology of National Academy of Sciences of Ukraine, Kiev, Ukraine.
  • Olena Kucheruk
    Visio-Med, Kąty Wrocławskie, Poland.

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