Updates on niosomes in interfering nucleic acid delivery for cancer treatment: A comprehensive review and future perspectives
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Updated: Feb 7, 2026

Kinetic Screening of Nuclease Activity using Nucleic Acid Probes
Published on: November 1, 2019
Reena Gupta1, Haneen Fadhil Jasim2, Zahraa Abbas Al-Khafaji3,4,5
1Institute of Pharmaceutical Research, GLA University, Mathura, 281406, U. P, India. rspg80@gmail.com.
Abstract:
Cancer continues to be one of the top killers worldwide. Traditional treatment strategies like chemotherapy, radiation, and surgery have non-specific treatment options with considerable side effects. Gene-based therapies using nucleic acids like siRNA, miRNA, and DNAzymes provide an alternative approach; however, issues with stability, delivery, and off-target effects continue to plague their clinical use. Niosomes, or non-ionic surfactant vesicles, provide a flexible and inexpensive alternative to circumvent many of these issues. This review will present the niosomal systems for nucleic acid delivery in cancer therapy. Niosomes have key advantages compared to traditional delivery vehicles due to their chemical stability and biocompatibility, and ease of surface modifications. Their ability to carry a range of nucleic acids and allow for endosomal escape makes niosomes ideal candidates for targeted, multimodal therapies. Critical therapeutic applications include co-delivery of nucleic acids with chemotherapeutic drugs to improve synergistic activity, reprogramming the tumor microenvironment to increase immune response, and bypassing mechanisms of tumor resistance. In addition, the incorporation of external triggers, such as magnetic and ultrasound responsive elements, provides precise spatiotemporal control over nucleic acid release. The review outlines exciting research improvements of niosomal formulations based on surface charge, ligand targeting, and new genetic payloads, underscoring the state-of-the-art potential of niosomes for personalized cancer treatments. niosomes showed low immunogenicity and good pharmacokinetics in preclinical research, suggesting they are highly translational and leading-edge for next-generation cancer treatments.
Insights
Niosomes offer a promising, cost-effective method for delivering gene-based cancer therapies. These non-ionic surfactant vesicles enhance nucleic acid stability and targeting, overcoming limitations of traditional treatments.
Area of Science:
- Biotechnology
- Nanomedicine
- Oncology
Background:
- Cancer remains a leading global cause of death, with conventional treatments causing significant side effects.
- Gene-based therapies (siRNA, miRNA, DNAzymes) show promise but face challenges in stability, delivery, and off-target effects.
- Niosomes, or non-ionic surfactant vesicles, present a flexible, inexpensive alternative for nucleic acid delivery.
Purpose of the Study:
- To review niosomal systems for nucleic acid delivery in cancer therapy.
- To highlight niosomes' advantages over traditional delivery vehicles.
- To discuss niosomal applications in targeted, multimodal cancer treatments.
Main Methods:
- Review of niosomal formulations for nucleic acid delivery.
- Analysis of niosome advantages: chemical stability, biocompatibility, surface modification.
- Evaluation of niosomes' capacity for endosomal escape and carrying diverse nucleic acids.
Main Results:
- Niosomes demonstrate chemical stability, biocompatibility, and ease of surface modification.
- Niosomes facilitate endosomal escape, enabling targeted delivery of nucleic acids.
- Niosomal systems can co-deliver nucleic acids with chemotherapy, modulate the tumor microenvironment, and bypass resistance mechanisms.
- Incorporation of external triggers (magnetic, ultrasound) allows controlled release.
- Niosomes exhibit low immunogenicity and favorable pharmacokinetics in preclinical studies.
Conclusions:
- Niosomes are ideal candidates for targeted, multimodal cancer therapies.
- Niosomal formulations are advancing through surface charge optimization, ligand targeting, and novel genetic payloads.
- Niosomes represent a highly translational, next-generation approach for personalized cancer treatment.
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