Evidence map›Paper›PMID 40503054›Full record

ReviewAsian journal of pharmaceutical sciences2025

Functionalized chitosan as nano-delivery platform for CRISPR-Cas9 in cancer treatment.

Asif Nawaz, Nur Syamimi Ariffin, Tin Wui Wong

Abstract readReview
In one paragraph

Review in Asian journal of pharmaceutical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Asif NawazAdvanced Drug Delivery Laboratory, Gomal Centre of Pharmaceutical Sciences, Faculty of Pharmacy, Gomal University, DIKhan 29050, Pakistan.
Nur Syamimi AriffinDepartment of Pharmacology and Life Sciences, Faculty of Pharmacy, Universiti Teknologi MARA, Puncak Alam 42300, Malaysia.
Tin Wui WongParticle Design Research Group, Faculty of Pharmacy, Universiti Teknologi MARA, Puncak Alam 42300, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR-Cas system permanently deletes any harmful gene-of-interest to combat cancer growth. Chitosan (CS) is a potential cancer therapeutic that mediates via PI3K/Akt/mTOR, MAPK and NF-kβ signaling pathway modulation. CS and its covalent derivatives have been designed as nanocarrier of CRISPR-Cas9 alone (plasmid or ribonucleoprotein) or in combination with chemical drug for cancer treatment. The nanocarrier was functionalized with polyethylene glycol (PEG), targeting ligand, cell penetrating ligand and its inherent positive zeta potential to mitigate premature clearance and particulate aggregation, and promote cancer cell/nucleus targeting and permeabilization to enable CRISPR-Cas9 acting on the host DNA. Different physicochemical attributes are required for the CS-based nanocarrier to survive from the administration site, through the systemic circulation-extracellular matrix-mucus-mucosa axis, to the nucleus target. CRISPR-Cas9 delivery is met with heterogeneous uptake by the cancer cells. Choice of excipients such as targeting ligand and PEG may be inappropriate due to lacking overexpressed cancer receptor or availability of excessive metabolizing enzyme and immunoglobulin that defies the survival and action of these excipients rendering nanocarrier fails to reach the target site. Cancer omics analysis should be implied to select excipients which meet the pathophysiological needs, and chitosan nanocarrier with a "transformative physicochemical behavior" is essential to succeed CRISPR-Cas9 delivery.

Indexed as

CancerChitosanCRISPR-Cas9ExcipientNanocarrier

Identifiers

PMID40503054
PMCPMC12152563

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.