3D-Bioprinted Tumor Models for Drug Development and Personalized Therapy

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The novel 3D-bioprinted models improve the prediction of drug responses based on the tumor microenvironment and cell interactions.
Using 80 patient samples, the identified immune checkpoint, P-selectin, enhances understanding of cancer-related immune interactions.
Assessment of hydrogel-based scaffolds allows for better mimicry of tumors compared to conventional 2D cultures, leading to improved target discovery methodologies for drug development in cancer treatment processes. The potential of these models highlights the importance of personalized medicine, impacting diverse patient strategies.

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Randomized trial evaluates patient-specific tumor models for predicting treatment responses across cancers, suggesting new therapeutic strategies.

Satchi‐Fainaro et al. (2024) studied this question.

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Randomized trial evaluates patient-specific tumor models for predicting treatment responses across cancers, suggesting new therapeutic strategies.