Light-controlled CRISPR-dCas9 epigenome editing: advanced drug-delivery strategies and oncology applications

Naiyereh Alipour Eskandani1, Danial Mirzaee2, Marzieh Ramezani Farani3

  • 1School of Advanced Technologies in Medical, Islamic Azad University, Tehran Medical Sciences Branch, Tehran, Iran.

Insights

Light-controlled CRISPR-dCas9 epigenome editing offers precise, reversible cancer therapy by targeting epigenetic marks. This technology enables new precision cancer treatments with potential for clinical application.

Area of Science:

  • Genetics and Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Cancer is increasingly understood as an epigenome-dysregulated disease.
  • Current epigenetic drugs (epi-drugs) are systemic and toxic.
  • CRISPR-based epigenome editing offers targeted epigenetic modification without DNA breaks.

Purpose of the Study:

  • To review light-controlled CRISPR-dCas9 epigenome editing technologies.
  • To discuss delivery platforms and therapeutic applications in cancer.
  • To outline a translational roadmap for clinical development.

Main Methods:

  • Synthesis of technological underpinnings: dCas9 (catalytically dead CRISPR nucleases) scaffold/guide architectures, photoswitches (blue-to-near-infrared), and effector designs.
  • Discussion of delivery platforms: viral, non-viral, and stimuli-responsive systems.
  • Exploration of opto-epigenome editor applications: tumor suppressor reactivation, oncogene repression, cancer stem cell differentiation, and immunomodulation.

Main Results:

  • Optogenetics enables reversible, light-encoded control over epigenome editor timing and localization.
  • Four therapeutic routes for opto-epigenome editors in cancer are outlined.
  • A translational roadmap including preclinical models, biomarkers, and regulatory factors is defined.

Conclusions:

  • Light-controlled CRISPR-dCas9 epigenome editing presents a novel class of precision cancer therapeutics.
  • Advancements in delivery and actuation (e.g., NIR, bioluminescence, μLEDs) are crucial for clinical translation.
  • Integration into combination regimens and AI-guided approaches will enhance therapeutic efficacy.

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