Evidence map›Paper›PMID 40815322›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2026

Next-generation miRNA therapeutics: from computational design to translational engineering.

Dilpreet Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

1 author.

Dilpreet SinghSchool of Pharmaceutical Sciences, CT University, Sidhwan Khurd, Ferozepur Rd, Punjab, 142024, India. dilpreet.daman@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs ) are emerging as powerful therapeutic agents for metastatic cancers due to their ability to modulate multiple oncogenic pathways simultaneously. However, their clinical translation remains hindered by challenges such as poor stability, limited tumor specificity, off-target effects, and inadequate delivery systems. This review presents a comprehensive analysis of recent advances in the use of cationic polymer-based nanocomplexes for the multiplexed delivery of tumor-suppressive miRNAs. These nanoplatforms offer structural versatility, tunable surface chemistry, and responsive release mechanisms, enabling co-delivery of multiple miRNAs to synergistically regulate key steps in the metastatic cascade, including epithelial-mesenchymal transition (EMT), invasion, immune evasion, and colonization. We further dissect the structural design principles of polymeric carriers, targeting strategies tailored for the tumor microenvironment, and emerging methods for achieving spatiotemporal control over miRNA release. The concept of "intelligent, multi-targeted, and personalized" miRNA nanomedicine is proposed to address tumor heterogeneity and therapeutic resistance. Importantly, we highlight the major translational barriers, including immunogenicity of cationic polymers, difficulties in large-scale and reproducible synthesis, and the absence of regulatory frameworks specific to combinatorial miRNA nanotherapeutics. Integrating insights from polymer science, cancer biology, and clinical pharmacology, this review aims to guide the rational design of next-generation miRNA delivery systems and accelerate their transition from bench to bedside in the era of precision oncology.

Indexed as

MicroRNAsNeoplasmsAnimalsHumansPolymersMicroRNAsPolymersCationic polymersCombination therapyEpithelial–mesenchymal transitionGene regulationMetastasisMicroRNAsMultiplexed deliveryNanocarriersPolyplexesTumor microenvironment

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.