PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 19, 2026Cell Reports Medicine1 citationsOpen Access

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

View Full Paper
ZDZhe DaiGFGongbo FuYDYuanyang Du

Key Points

  • This research aims to develop a more accurate tumoroid model that incorporates tumor-specific vascularization to simulate the colorectal cancer environment.
  • Developed a vascularized tumoroid-on-a-chip using microfluidic technology
  • Assessed responses to FOLFOX plus bevacizumab across different patient-derived models
  • Tested sensitivity of various small-molecule anti-angiogenic drugs
  • Demonstrated variability in anti-cancer drug responses among different tumoroid-on-a-chip models
  • Confirmed stability and function of self-assembled tumor-associated vasculature
  • Provided preliminary evidence supporting model reliability for drug testing

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Dai et al. (2026) studied this question.

synapsesocial.com/papers/6a34df2365a5b0777af2e5f1https://doi.org/10.1016/j.xcrm.2026.102873
Ask AI
Helpful
Bookmark
Share
View Full Paper