Development of a Novel Class of Self-Assembling dsRNA Cancer Therapeutics: A Proof-of-Concept Investigation

Vishwaratn Asthana1, Brett S Stern1, Yuqi Tang1

  • 1Department of Bioengineering, Rice University, Houston, TX 77030, USA.

Molecular Therapy Oncolytics
|September 11, 2020
PubMed

Insights

This study introduces novel double-stranded RNA (dsRNA) cancer therapeutics. These programmable agents target specific cancer genes, triggering cell death and immune responses while overcoming treatment resistance.

Area of Science:

  • Biotechnology
  • Molecular Biology
  • Oncology

Background:

  • Cancer treatment faces challenges in distinguishing self from non-self cells, integrating therapeutic and recognition functions, and overcoming drug resistance.
  • Existing therapies are limited by cancer cells' ability to evolve resistance through evolutionary pressure.

Purpose of the Study:

  • To develop a novel, programmable, self-assembling double-stranded RNA (dsRNA)-based therapeutic platform for cancer.
  • To create a treatment that uniquely targets malignant cells, decouples recognition from therapy, and overcomes drug resistance.

Main Methods:

  • Designed programmable self-assembling dsRNA therapeutics targeting specific aberrant genetic sequences.
  • Utilized oncogenic RNA-activated displacement (ORAD) for a functionally decoupled therapeutic cascade.
  • Employed end-blocked RNA strands with phosphorothioate bonds and 2'-deoxyuridine (2'-U)-modified DNA protectors.

Main Results:

  • Demonstrated specific and potent killing of cancer cells harboring the target oncogenic sequence (EWS/Fli1 fusion gene in Ewing sarcoma).
  • Showed no significant effect on cells with wild-type sequences, confirming target specificity.
  • Initiated apoptosis and immune activation through the ORAD mechanism.

Conclusions:

  • Programmable dsRNA therapeutics offer a promising new modality for cancer treatment.
  • The ORAD mechanism provides a unique approach to cancer therapy, decoupling recognition and treatment.
  • This platform has the potential to overcome evolutionarily driven cancer resistance and improve therapeutic outcomes.