Evidence map›Paper›PMID 42918800›Full record

ArticleNature communications2026

Surface-displayed cholesterol enhances penetration and anti-tumor activity of a platinum nanodrug by targeting NPC1L1-expressing cancer associated fibroblasts.

Peiyi He, Jibin Zhang, Mingheng Xu, Beilan Liu, Keren Lai, Guifeng Miao, Xiaoxi Zhao, Xinyue Wang, Guozhu Tan, Xiaorui Wang

Abstract read
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In one paragraph

Article in Nature communications, 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

10 authors.

Peiyi HeGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Jibin ZhangGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Mingheng XuGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Beilan LiuGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Keren LaiGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Guifeng MiaoGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Xiaoxi ZhaoGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Xinyue WangGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Guozhu TanGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, China.
Xiaorui WangGuangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Biomaterials Research Center, School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong Province, 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

Transcytosis-mediated delivery effectively enhances tumor penetration of nanodrugs but is less efficacious in stroma-rich tumors. Cancer associated fibroblasts (CAF) can represent a physical barrier for drug delivery in tumor cells. Herein, by selectively targeting NPC1L1-cancer associated fibroblasts, surface-displayed cholesterol enhances the delivery of a platinum nanodrug (PtD-Chol) in stroma-rich tumors, restoring anti-tumor efficacy. The findings reveal that PtD-Chol, acting through the 'shared entry portal' of NPC1L1 triggers cross-multicellular transport (CMCT) within tumors, shuttling PtD-Chol across the CAF barrier via the endocytic recycling compartment-endoplasmic reticulum-Golgi pathway, thereby enabling deep penetration into tumor. This strategy restores nanodrug efficacy in CAF-rich refractory tumor models in female mice, and suppresses both primary growth and CAF-driven metastasis via tumor microenvironment remodeling. This proposed nanodrug delivery paradigm offers an approach to tackle the critical barriers of tumor penetration and therapeutic efficacy in nanomedicine.

Indexed as

Antineoplastic AgentsCancer-Associated FibroblastsCholesterolMembrane Transport ProteinsPlatinumAnimalsCell Line, TumorDrug Delivery SystemsFemaleHumansMiceNanoparticlesTumor MicroenvironmentXenograft Model Antitumor AssaysAntineoplastic AgentsCholesterolMembrane Transport ProteinsPlatinum

Identifiers

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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.