Theranostic Nanoparticles in Prostate Cancer: Disrupting Hypoxia-Induced Glycolysis by Targeting Hypoxia-Inducible

Daniel Ejim Uti1,2, Wilson Achu Omang3, Esther Ugo Alum1

  • 1Department of Biochemistry, Research and Publications, Kampala International University, Kampala, Uganda.

Cancer Medicine
|January 11, 2026
PubMed
Abstract

Insights

Tumor hypoxia promotes prostate cancer (PCa) aggressiveness by driving glycolysis via hypoxia-inducible factor-1 alpha (HIF-1a). Theranostic nanoparticles (TNPs) offer a promising strategy to inhibit HIF-1a and target PCa, integrating imaging and treatment.

Area of Science:

  • Oncology
  • Nanotechnology
  • Biochemistry

Background:

  • Prostate cancer (PCa) is a leading cause of cancer death in men.
  • Tumor hypoxia and subsequent metabolic reprogramming, particularly increased glycolysis mediated by hypoxia-inducible factor-1 alpha (HIF-1a), drive PCa aggressiveness and treatment resistance.

Purpose of the Study:

  • To review the mechanisms of hypoxia-induced glycolysis in PCa.
  • To explore theranostic nanoparticles (TNPs) for inhibiting HIF-1a and its downstream targets.
  • To highlight TNPs' potential for imaging and treating PCa.

Main Methods:

  • Review of existing literature on hypoxia-glycolysis signaling in PCa.
  • Assessment of nanotechnology-based theranostic approaches, including liposomal, polymer, and metallic nanoplatforms.
  • Evaluation of TNPs for enhanced drug delivery, tumor imaging, and modulation of hypoxic microenvironments.

Main Results:

  • HIF-1a-driven hypoxia promotes glycolysis and aggressive PCa phenotypes.
  • TNPs are designed to improve drug bioavailability, enable tumor-specific imaging, and counteract hypoxia-linked metabolic pathways.
  • PCa is a relevant model for TNP development due to the interplay of hypoxia, androgen receptor signaling, and Prostate-Specific Membrane Antigen (PSMA) overexpression.

Conclusions:

  • The hypoxia-AR axis and PSMA overexpression in PCa offer unique advantages for precision theranostics.
  • Challenges remain in biocompatibility, regulatory processes, and manufacturing scale-up for TNP translation.
  • TNPs represent a promising platform for integrated PCa diagnosis and treatment, requiring interdisciplinary efforts and AI-guided design for clinical advancement.

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