On-chip recapitulation of the tumor microenvironment: A decade of progress

Biomaterials, Journal Year: 2024, Volume and Issue: 306, P. 122482 - 122482

Published: Jan. 22, 2024

One of the hurdles to development new anticancer therapies is lack in vitro models which faithfully reproduce vivo tumor microenvironment (TME). Understanding dynamic relationships between components TME a controllable, scalable, and reliable setting would indeed support discovery biological targets impacting cancer diagnosis therapy. Cancer research increasingly shifting from traditional two-dimensional (2D) cell culture toward three-dimensional (3D) models, have been demonstrated increase significance predictive value data. In this scenario, microphysiological systems (also known as Organs-on-Chip) emerged relevant technological platform enabling more investigation cell-cell cell-ECM interplay cancer, attracting significant effort last years. This review illustrates one decade progress field tumor-microenvironment-on-chip (TMOC) approaches, exploiting either cell-laden microfluidic chambers or confined spheroids model TME. TMOCs designed recapitulate several aspects TME, including cells, tumor-associated stroma, immune system, vascular component. Significantly, aspect has for its pivotal role orchestrating cellular interactions modulating drug pharmacokinetics on-chip. A further advancement represented by integration into multi-organ systems, with final aim follow metastatic cascade target organs study effects chemotherapies at systemic level. We highlight that increased degree complexity achieved most advanced TMOC enabled scientists shed light on microenvironmental factors progression, cascade, response drugs.

Language: Английский

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Tryptophan accumulation and inflammation of glioblastoma cells in a multicomponent microchip for gut-brain-axis simulation

Chinese Chemical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 111035 - 111035

Published: March 1, 2025

Language: Английский

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Organoids derived from metastatic cancers: Present and future

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e30457 - e30457

Published: April 27, 2024

Organoids are three-dimensional structures derived from primary tissue or tumors that closely mimic the architecture, histology, and function of parental tissue. In recent years, patient-derived organoids (PDOs) have emerged as powerful tools for modeling tumor heterogeneity, drug screening, personalized medicine. Although most cancer tumors, ability metastatic to serve a model studying biology predicting therapeutic response is an area active investigation. Recent studies shown sites can provide valuable insights into may be used validate predictive models response. this comprehensive review, we discuss feasibility culturing multiple cancers evaluate their potential advancing basic research, development, therapy. We also explore limitations challenges associated with using metastasis research. Overall, review provides overview current state future prospects cancer-derived organoids.

Language: Английский

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Advancing Alzheimer’s Disease Modelling by Developing a Refined Biomimetic Brain Microenvironment for Facilitating High-Throughput Screening of Pharmacological Treatment Strategies

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 26(1), P. 241 - 241

Published: Dec. 30, 2024

Alzheimer’s disease (AD) poses a significant worldwide health challenge, requiring novel approaches for improved models and treatment development. This comprehensive review emphasises the systematic development improvement of biomimetic brain environment to address shortcomings existing AD enhance efficiency screening potential drug treatments. We identify drawbacks in traditional emphasise necessity more physiologically accurate systems through an in-depth analysis current literature. aims study advanced model that accurately replicates key pathophysiological aspects using cutting-edge biomaterials microenvironment design. Incorporating biomolecular elements like Tau proteins beta-amyloid (Aβ) plaques improve accuracy illustrating mechanisms. The expected results involve creating solid foundation high-throughput with enhanced scalability, translational significance, possibility speeding up discovery. Thus, this fills gaps modelling shows precise efficient treatments AD.

Language: Английский

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