ArticleCancer research2024
Adding New Dimensions to 3D Cancer Models.
Article in Cancer research, 2024. 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
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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, 1 citations in OpenAlex.
- Energy Metabolism Behavior and Response to Microenvironmental Factors of the Experimental Cancer Cell Models Differ from that of Actual Human Tumors.Mini reviews in medicinal chemistry · 2025Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding patient-specific responses to anticancer therapies and how individual tumors interact with their tumor microenvironment (TME) is a challenging task. To measure the impact of the TME on diverse and clinically relevant treatments, Ramos Zapatero and colleagues coupled patient-derived organoid (PDO) and cancer-associated fibroblast (CAF) cocultures with high-throughput mass cytometry-based assessment of cell state. Using a newly developed "Trellis" algorithm enabled integration and analysis of highly complex, multidimensional treatment response data. This work showed that tumor cell response to chemotherapy was associated with both intrinsic and nonintrinsic signaling states, whereby proliferative rate, growth factor signaling, and CAFs interaction influenced chemoprotection. Furthermore, the work suggests a potential role for the TME in promoting lineage plasticity associated with drug resistance. In all, the pipeline described provides a blueprint for exploring the intricate interplay of factors influencing cancer treatment response.
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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.