ArticleCells2026
Immune Cell Modulation of Patient-Matched Organoid Drug Response in Precision Cancer Medicine Platform.
Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- From mono- to multi-cellularFrontiers in cell and developmental biology · 2026Review
- Histological fidelity and microenvironmental kinome signatures of metastatic patient-derived organoids.Frontiers in bioengineering and biotechnology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Cancer is one of the leading causes of death worldwide, and the majority of cancer-related deaths are caused by cancer that has spread to other organs. Precision cancer medicine (PCM) holds potential to improve outcomes and relies on molecularly matched therapies based on cancer cell specific molecular alterations. The tumor immune microenvironment plays an important role beyond response to therapy; however, this is generally not considered in current PCM platforms. We established patient-matched organoids and immune cell cultures for drug testing in mono- and co-culture treatment setups using three distinct treatment strategies (pretreatment, co-culture treatment, and T-cell bispecific antibody testing). Response to treatment and impact of immune cells were evaluated by tumor cell viability assays and flow cytometry analysis. Phenotypic analysis showed high heterogeneity of tumor-infiltrating lymphocytes (TILs) across the patients and low immune cell portions of organoids, emphasizing the need for a patient-matched co-culture PCM approach. Our in-depth study of three patients revealed an effect of the patients' immune cells on drug response and T-cell bispecific antibody treatment in vitro. Here, we illustrate a state-of-the-art co-culture PCM pipeline for patient-matched organoids and immune cells replicating patient response to treatment at the time of biopsy.
Indexed as
Identifiers
What Socratic 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 Socratic graph.