Evidence map›Paper›PMID 41998163›Full record

ArticleNature biomedical engineering2026

Mammary organoid-based depot for post-surgical chemotherapy and gland regeneration.

Shenqiang Wang, Yinxian Yang, Yanfang Wang, Jinpeng Han, Tong Hu, Sheng Zhao, Feng Liu, Xinmin Yu, Tingxizi Liang, Yuqi Zhang and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Shenqiang Wang *State Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China. wangshenqiang@suda.edu.cn.ORCID http://orcid.org/0000-0001-8579-6367
Yinxian Yang *State Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0002-2296-7111
Yanfang WangState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.
Jinpeng HanState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-4443-4671
Tong HuEngineering Research Center of RNA Medicine and Cell Therapy Technology, Ministry of Education, College of Pharmaceutical Sciences, Soochow University, Suzhou, China.
Sheng ZhaoState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.
Feng LiuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.
Xinmin YuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.
Tingxizi LiangState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.
Yuqi ZhangState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0000-0003-4616-7722
Huili HuThe Key Laboratory of Experimental Teratology, Ministry of Education, Department of Systems Biomedicine, School of Basic Medical Sciences, Shandong University, Jinan, China. huhuili@sdu.edu.cn.ORCID http://orcid.org/0000-0002-1269-1887
Jicheng YuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China. yujicheng@zju.edu.cn.ORCID http://orcid.org/0000-0003-3407-6671
Zhen GuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China. guzhen@zju.edu.cn.ORCID http://orcid.org/0000-0003-2947-4456

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32101064National Natural Science Foundation of China (National Science Foundation of China) 32271380National Natural Science Foundation of China (National Science Foundation of China) 32471380National Natural Science Foundation of China (National Science Foundation of China) 52233013Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LR25C100002
6 · The paper itself

Abstract

Preventing cancer recurrence after surgical removal, while preserving breast cosmesis and restoring function, remains challenging. Traditional scaffold-based approaches are often restricted by their inadequate integration with natural tissues and unmatched rate of material degradation to tissue development. Here we report an anticancer drug secretion system based on engineered mammary organoids for inhibiting post-surgical tumour recurrence and promoting tissue reconstruction. By inducing the lactation of mammary organoids, cytoplasmic lipid droplets form intracellularly. A pH-responsive prodrug, comprising all-trans retinal and the chemotherapeutic agent doxorubicin, is readily encapsulated in these lipid droplets. Upon lactation, milk fat globules, enriched with these drug-loaded lipid droplets, are released to residual tumour cells through the contractile actions of myoepithelial cells. Both mouse and human-induced pluripotent stem cell-derived mammary organoids were engineered as drug-secreting depots and demonstrated their effectiveness in inhibiting tumour recurrence (96% regression) in a mouse post-surgical breast cancer model. In addition, the organoids could be self-adaptively integrated with mammary glands and contribute to their reconstruction, ultimately restoring lactational capacity in the recipient mice.

Identifiers

What Socratic 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 Socratic graph.