ReviewMedComm2026
Tumor Organoid and Microenvironment Cocultures: Implications for Basic and Translational Cancer Research.
Review in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Organoids are innovative three-dimensional (3D) cellular constructs, offering a unique platform to replicate the architectural and functional complexity of organs and tissues. In oncology, the tumor microenvironment (TME) dictates tumor evolution and therapeutic resistance. Consequently, therapies targeting TME components have emerged as a burgeoning frontier in cancer treatment. However, accurately recapitulating the dynamic, multicellular crosstalk of TME remains a significant hurdle for clinical translation. This review encapsulates the spectrum of current organoid coculture methodologies, ranging from direct coculture and air-liquid interface to advanced microfluidics and 3D bioprinting. These models not only deepen our understanding of the fundamental mechanisms at play in cancer but also evaluate emerging therapeutic modalities, such as antibody-drug conjugates and immunotherapy. By closely mimicking the in vivo tumor milieu, organoid cocultures enhance our ability to predict therapeutic outcomes and pave the way for the development of precision medicine approaches, thereby propelling forward the frontiers of oncology. This review aims to provide a comprehensive overview of organoid coculture models, spanning from construction methodologies to clinical applications. We envision this work serving as a definitive guide for the field, ultimately accelerating the transition from theoretical research to clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.