Evidence map›Paper›PMID 42309065›Full record

ArticleCell reports. Medicine2026

Self-assembly of tumor-related vascularized colorectal tumoroid-on-a-chip for precision medicine drug testing.

Zhe Dai, Gongbo Fu, Yuanyang Du, Yiyang Xie, Jialong Zhu, Xiaoyue Tao, Qinghuizi Luo, Xiaoyuan Chu, Zengjie Lei

Abstract read
In one paragraph

Article in Cell reports. Medicine, 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. 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

9 authors.

Zhe DaiDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210000, China.
Gongbo FuDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210000, China; Department of Oncology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210000, China; Department of Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing 210000, China; Department of Oncology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing 210000, China. Electronic address: mhksfgb@126.com.
Yuanyang DuDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210000, China.
Yiyang XieDepartment of Oncology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210000, China.
Jialong ZhuDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210000, China.
Xiaoyue TaoDepartment of Oncology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210000, China.
Qinghuizi LuoDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210000, China.
Xiaoyuan ChuDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210000, China; Department of Oncology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210000, China; Department of Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing 210000, China; Department of Oncology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing 210000, China. Electronic address: chuxiaoyuan000@163.com.
Zengjie LeiDepartment of Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210000, China; Department of Oncology, Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing 210000, China; Department of Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing 210000, China; Department of Oncology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing 210000, China. Electronic address: leizengjie@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity of tumors cannot be accurately simulated by current tumoroid models. One of these limitations is poor vascularization in current tumor models, particularly the lack of tumor-specific blood vessels. Therefore, it is challenging to have a thorough discussion of many in vitro studies regarding the tumor vascular environment. To overcome this limitation, this study combines tumoroid and microfluidic technologies to develop a vascularized tumoroid-on-a-chip. This physiologically relevant colorectal tumoroid-on-a-chip enables self-assembly of tumor-associated vasculature and provides stable perfusion. It has the potential to better simulate the complex vascular environment of colorectal cancer, allowing for more accurate assessment. This study confirms the effectiveness of this model and verifies the variation in the response of tumoroid-on-a-chip models from different patients to FOLFOX plus bevacizumab. It also tests the sensitivity of several small-molecule anti-angiogenic drugs. These validations provide preliminary evidence supporting the reliability of the model and its potential utility in the future.

Indexed as

Colorectal NeoplasmsLab-On-A-Chip DevicesNeovascularization, PathologicOrganoidsPrecision MedicineAngiogenesis InhibitorsAntineoplastic Combined Chemotherapy ProtocolsBevacizumabDrug Screening Assays, AntitumorFluorouracilHumansLeucovorinMicrophysiological SystemsOrganoplatinum CompoundsAngiogenesis InhibitorsBevacizumabFluorouracilLeucovorinOrganoplatinum Compoundspersonalized medicinetumoroid-on-a-chiptumor-relatedvascularized

Identifiers

PMID42309065
PMCPMC13400167

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.