Evidence map›Paper›PMID 40555864›Full record

ArticleNature cancer2025

Concurrent inhibition of tumor growth and metastasis by a lipidated nanophotosensitizer tracing and disabling tumor extracellular vesicles.

Guifeng Miao, Zhanhao Shang, Xinyue Wang, Jibin Zhang, Mingheng Xu, Peiyi He, Qinjie Zhong, Xiaoxi Zhao, Guozhu Tan, Xiaorui Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Nature cancer, 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. Article
  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

10 authors.

Guifeng Miao *Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Zhanhao Shang *Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Xinyue WangGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Jibin ZhangGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Mingheng XuGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Peiyi HeGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Qinjie ZhongGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Xiaoxi ZhaoGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Guozhu TanGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Xiaorui WangGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, China. wxr114@smu.edu.cn.ORCID http://orcid.org/0000-0002-5142-8264

Funding

National Natural Science Foundation of China (National Science Foundation of China) 21905130National Natural Science Foundation of China (National Science Foundation of China) 22375086National Natural Science Foundation of China (National Science Foundation of China) 31972928
6 · The paper itself

Abstract

Cancer cells promote tumor growth and metastasis through tumor extracellular vesicle (TEV)-mediated intercellular and intertissue communication. Inhibiting TEVs represents a promising strategy to suppress metastasis; however, effectively and selectively disabling TEVs remains challenging. Herein, we developed palmitic acid surface-displayed nanoparticles using an adjacent hydrophilic molecular engineering strategy. Unexpectedly, these lipidated nanoparticles were not only efficiently taken up and distributed within tumor cells but also coupled with TEV generation, enabling active tracing of TEVs. Exploiting their dual tumor spatial distribution (intracellular and intra-TEV), a lipidated nanophotosensitizer was constructed for metastasis therapy. Under near-infrared light irradiation at the primary tumor site, both intracellular and intra-TEV reactive oxygen species were generated synchronously. This led to photodynamic suppression of the primary tumor and blocked intercellular and intertissue communication by disabling TEVs, effectively inhibiting tumor growth and metastasis in multiple tumor models in female mice. Overall, this work reports a therapeutic paradigm for concurrently inhibiting tumor growth and metastasis.

Indexed as

Extracellular VesiclesNanoparticlesNeoplasmsPhotosensitizing AgentsAnimalsCell Line, TumorCell ProliferationFemaleHumansLipidsMiceNeoplasm MetastasisPalmitic AcidPhotochemotherapyReactive Oxygen SpeciesXenograft Model Antitumor AssaysLipidsPalmitic AcidPhotosensitizing AgentsReactive Oxygen Species

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.