Evidence map›Paper›PMID 40242481›Full record

ArticleMaterials today. Bio2025

CD44-targeted virus-mimicking nanomedicine eliminates cancer stem cells and mitigates chemoresistance in head and neck squamous cell carcinoma.

Yiwen Chen, Zhen Qin, Yujia Wang, Baoxin Gu, Jing Wang, Yunfei Zheng, Yuting Niu, Lingfei Jia

Abstract read
In one paragraph

Article in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Yiwen ChenDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, PR China.
Zhen QinDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, PR China.
Yujia WangDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, PR China.
Baoxin GuDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, PR China.
Jing WangState Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing, 100091, PR China.
Yunfei ZhengDepartment of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, 100081, PR China.
Yuting NiuCentral Laboratory, Peking University School and Hospital of Stomatology, Beijing, 100081, PR China.
Lingfei JiaDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) play critical roles in tumor growth, metastasis, and chemoresistance. Although several small-molecule inhibitors designed to inhibit CSCs have been investigated in clinical trials, their inadequate tumor targeting and potential off-target side effects have led to poor outcomes. A CD44-targeted virus-mimicking nanomedicine encapsulating the BMI1 inhibitor PTC209 (PTC209@VNP-HA) was designed to treat head and neck squamous cell carcinoma (HNSCC). We used a dendritic mesoporous silica nanoparticle (MSN) as the core for virus-mimicking nanoparticle (VNP) formation after adding shell particles to the MSN surface. The VNP surface was then modified with hyaluronic acid (HA), and PTC209 was adsorbed by mesopores to form PTC209@VNP-HA. In this system, HA is used to target CD44

Indexed as

Cancer stem cellsCD44 targetingCisplatin resistanceHead and neck squamous cell carcinomaPTC209Virus-mimicking nanoparticles

Identifiers

PMID40242481
PMCPMC12002834

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.