Evidence map›Paper›PMID 42865649›Full record

ReviewFrontiers in pharmacology2026

Traditional Chinese medicine (TCM)-based nanoformulations for cancer therapy: antitumor mechanisms, challenges, and future directions.

Xiaoyu Yang, Shuailong Jia, Meiling Wu, Yi Zhou

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xiaoyu Yang *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Shuailong Jia *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Meiling WuDepartment of Pharmacy, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China.
Yi ZhouDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objectives: Traditional Chinese medicine (TCM)-derived compounds have anticancer potential because of their multi-component, multi-target actions and generally favorable toxicity profiles. Clinical translation, however, is limited by poor aqueous solubility, rapid systemic metabolism, and insufficient tumor-selective delivery. This review critically evaluates recent TCM-based nanoformulations developed to address these limitations and improve the therapeutic performance. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and EQUATOR guidance, PubMed and Web of Science databases were searched for original studies published during the previous 5 years using terms including "TCM," "nanoformulation," and "anticancer." After screening 387 records, 81 studies covering 50 representative TCM compounds were included and assessed for the preparation methods, antitumor mechanisms, and translational barriers. Results: Relative to free compounds, nanoformulations frequently improved solubility, stability, apparent bioavailability, or the targeting efficiency of TCM constituents. Reported mechanisms included apoptosis, cell-cycle arrest, ferroptosis, immunogenic cell death, and tumor-microenvironment remodeling across breast, lung, colorectal, and other cancer models. Nevertheless, most evidence was derived from Conclusion: TCM-based nanoformulations represent a promising strategy for integrating traditional herbal medicine with modern cancer therapy. Despite these promising findings, substantial challenges remain in standardization, reproducibility, pharmacokinetics, long-term safety, manufacturing, and clinical validation. Future studies should prioritize head-to-head comparisons, quantitative biodistribution, clinically relevant models, and scalable manufacturing.

Indexed as

anti-tumor treatmentcancer therapynanomedicinesnanoparticlestraditional Chinese medicine

Identifiers

PMID42865649
PMCPMC13655532

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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.