ReviewMolecular biology reports2026
The potential of personalized cancer spheroids in precision therapy.
Review in Molecular biology reports, 2026. 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical implementation of precision oncology remains challenged by intratumoral heterogeneity, complex tumor microenvironment interactions, and the limited predictive value of conventional preclinical models. 3D cancer spheroids have emerged as physiologically relevant platforms that closely mimic in vivo tumor architecture, cellular heterogeneity, hypoxic gradients, and treatment resistance mechanisms. This review highlights the growing role of cancer spheroids in drug panel testing and their application in personalized therapeutic decision-making across diverse malignancies, including breast, colorectal, ovarian, lung, head and neck, and brain cancers. Patient-derived spheroids and multicellular co-culture models preserve critical tumor-stroma and tumor-immune interactions, enabling clinically meaningful evaluation of chemotherapeutic agents, targeted therapies, immunotherapies, radiosensitizers, and combination treatment strategies. Drug panels assessed using spheroid platforms encompass platinum-based agents, EGFR and VEGF inhibitors, PARP inhibitors, immune checkpoint inhibitors, kinase inhibitors, antibody-drug conjugates, and emerging pathway-directed therapeutics. Accumulating evidence suggests that spheroid-based drug testing has the potential to recapitulate clinically relevant tumor characteristics and treatment responses and may serve as a useful preclinical approach for evaluating drug sensitivity, exploring resistance mechanisms, and assessing biomarker-associated responses within clinically relevant timeframes. Recent advances in high-throughput screening, microfluidic technologies, organ-on-chip systems, automated imaging, and artificial intelligence-driven analytics have further improved the scalability, reproducibility, and translational utility of these models. The review also discusses the current limitations, standardization challenges, and ethical considerations associated with spheroid-based drug testing. Collectively, personalized cancer spheroids represent a promising approach linking experimental oncology with precision medicine research, with potential applications in individualized drug testing and treatment optimization.
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Identifiers
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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.