Evidence map›Paper›PMID 42440253›Full record

ArticleDrug delivery and translational research2026

Targeted co-delivery of curcumin and TRAIL via engineered extracellular vesicles: a synergistic therapy against resistant cancers.

Lang Liu, Jiahong Jiang, Zelin Wu, Xiaoli Wu, Jun Peng, Nuo Xu, Xudong Lin, Ronghui Sun, Yuyi Kang, Changhong Ke and 5 more

Abstract read
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In one paragraph

Article in Drug delivery and translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

15 authors.

Lang Liu *School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Jiahong Jiang *School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Zelin WuSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Xiaoli WuSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Jun PengSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Nuo XuSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Xudong LinSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Ronghui SunSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Yuyi KangSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Changhong KeSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Caijun ZhaoThe Second Hospital of Hebei Medical University, Shijiazhuang, 050000, P.R. China.
Qilin HuangChongqing General Hospital, Chongqing University, Chongqing, P. R. China.
Fangfang GaoSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China.
Youjun ZengSchool of Physics & Optoelectronic Engineering, Guangdong University of Technology, Guangzhou, 510006, P. R. China. zengyoujun@gdut.edu.cn.
Zhengqiang YuanSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, P. R. China. yuanzq@gdut.edu.cn.

Funding

Guangdong Provincial Talented Scholar Foundation 220418137National Natural Science Foundation of China 82573612
6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is a resistant malignancy with a rising global incidence, thereby highlighting an urgent need for innovative treatment strategies. Curcumin (CUR), a natural polyphenolic compound, is promising for cancer treatment. However, its clinical translation has been hindered by poor bioavailability, low solubility, and rapid elimination. Tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL)-expressing extracellular vesicle (EV-T) has been proven to be an ideal platform for integrating TRAIL-sensitizing agents with TRAIL for synergistic cancer therapies. Yet, no studies have explored whether CUR could be encapsulated in EV-Ts to achieve synergistic anticancer effects. Herein we hypothesize that EV-T modified by the arginine-glycine-aspartic acid (RGD) tripeptide (denoted RGD@EV-T) exhibits enhanced tumor tropism. By loading CUR into RGD@EV-T, we could construct a novel nano-CUR formulation, namely RGD@EV-T-CUR, for co-delivery of CUR and TRAIL to achieve synergistic therapy for RCC. The RGD@EV-T was first prepared via anchoring CP05-RGD mediated integration, then CUR was efficiently encapsulated with an encapsulation rate of 53.4% to make RGD@EV-T-CUR. The RGD modification significantly enhanced the tumor tropism of EV-T by approximately 4-fold. Importantly, RGD@EV-T-CUR achieved synergistically enhanced apoptosis-inducing rate (74.9 ± 5.3%) in TRAIL-resistant RCC cells. Notably, RGD@EV-T-CUR demonstrated synergistically improved tumor growth inhibition efficacy (93.3%) compared to either CUR (28.7%) or RGD@EV-T (41.7%) monotherapy in a subcutaneous RCC xenograft tumor model in mice. The synergistic therapeutic efficacy is associated with the concurrent upregulation of death receptor 5 (DR5), downregulation of anti-apoptotic proteins, and suppression of the nuclear factor-kappaB signaling pathway. Collectively, RGD@EV-T-CUR potentially constitutes a novel cancer therapy, which is highly effective and safe for RCC treatment.

Indexed as

Composite nanodrugCurcuminEV-TSynergistic efficacyTargeted therapy

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 Socratic graph.