ArticleScientific reports2025
High-content confocal analysis of tumorigenesis, cancer stem cells, and drug response in 3D cholangiocarcinoma cultures.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Three-dimensional (3D) culture models, particularly multi-spheroid models, are becoming increasingly essential in cancer drug discovery, particularly in stem cell and cancer stem cell (CSC) research. However, analytical methods for 3D multi-spheroid models, especially for single-cell and single-spheroid analysis in CSC research, remain limited. To address this gap we developed 3D multi-spheroid cholangiocarcinoma models that incorporate a CSC live-cell biosensor and a novel analysis method, 3D Surface Integrative Spheroid Profiling (3D-SiSP), utilizing high-content confocal imaging. 3D-SiSP quantifies spheroid area, allowing for both high- and low-throughput analyses. We demonstrate three key applications of 3D-SiSP. First, it outperformed traditional length-based methods for in vitro tumorigenesis measurements, offering greater precision. Second, 3D-SiSP enabled the calculation of individual spheroid areas along with real-time CSC biosensor signals, revealing larger spheroids had more undifferentiated cells. Lastly, 3D-SiSP facilitated simultaneous, real-time quantification of CSC content during anti-cancer drug testing in individual spheroids, providing evaluation of drug responses. Drug response differences across treatments were also quantified. Overall, 3D-SiSP provides a flexible and effective methodology for characterizing cancer cells and CSCs while evaluating anti-cancer drugs, applicable in both high- and low-throughput contexts. This approach enhances our understanding of CSC dynamics and supports the development of anti-CSC therapies.
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.