Our Scientific Solutions
Cancer On Chip
An advanced platform for studying the complex interactions between cancer cells and their microenvironment
A more accurate and efficient approach for studying the mechanisms behind cancer growth and progression. This cutting-edge technology provides a potent platform for investigating the complex interactions between cancer cells and their microenvironment in a controlled environment.
With our innovative Cancer-on-Chip precision and accuracy are improved, leading to accelerated drug discovery timelines and improved outcomes.
Tissue Models Options
CANCER-ON-CHIP
2D cells monolayers
Matrix based tumor models
Spheroids, Organoids
Patient derived Biopsies
Applications
Drug Screening
Personalized Medicine
Cancer Cell Migration and Invasion
Tumor to Metastatic Target
Tumor Microenvironment
Immuno-Oncology
3D-flowGel
Super-fast, highly flexible, and reproducible, it’s a ready to use 3D cell culture hydrogel that closely resembles the extracellular matrix (ECM).
Easily move to 3D cell culture
Permissive to chemical functionalizations, stable over time, and mechanically tunable, 3D-flowGel allows optimization of the in vitro cell culture in a 3D fashion, encouraging long-term cell viability, selective migration, and protein secretion. Due to its chemical composition, 3D-flowGel supports an extensive spectrum of downstream analysis through an easy and fast cell recovery.
Moreover, 3D-flowGel recapitulates the in vivo tissue barrier conditions for more predictive diffusion of molecules, nanoparticles and drugs under testing.
POSSIBLE READOUTS
Cancer-on-Chip Model
A more realistic and physiologically relevant environment for more predictive readouts
CITOTOXICITY
By measuring cell viability and apoptosis, our cytotoxicity readout reveals how effectively new therapeutic compounds target and kill cancer cells. This robust platform accelerates drug development, identifying promising candidates for clinical trials.
CANCER CELLS SPREADING & METASTATIZATION
Measuring cancer cell spreading in a humanized platform provides valuable insights into their metastatic potential in new tissues and identifies key molecular pathways involved in this process.
OMICS STUDIES
Providing valuable insights into disease pathways, identifying new drug targets, and developing personalized medicine approaches, while offering an effective means of characterizing the cellular and molecular effects of novel compounds or treatments.
CANCER CELLS PHENOTYPE CHARACTERIZATION
Utilizing state-of-the-art flow cytometry, our platform offers comprehensive phenotype characterization of cancer cells, providing detailed insights into surface marker expression, cell cycle status, and apoptosis on specific cancer cell populations (i.e. circulating cancer cells, infiltrated cells)
DRUG EFFICACY
We measure key parameters such as cell viability and apoptosis to determine the effectiveness of new compounds like chemotherapeutic agents, targeted therapies, and immunomodulating agents. By leveraging advanced techniques, we evaluate how different drug classes impact cancer cells, providing critical data to support the development of next-generation cancer treatments.
IMMUNE CELLS INFILTRATION
Our platform enables the detailed analysis of immune responses, including the infiltration of T cells, NK cells, and macrophages, as well as the activation status of these immune cells. By simulating the interaction between cancer cells and the immune system, we provide critical insights into the efficacy of immunotherapies, checkpoint inhibitors, and other immune-modulating treatments.
References
Marzagalli M et al, Front. Bioeng. Biotechnol. 2022 – A multi-organ-on-chip to recapitulate the infiltration and the cytotoxic activity of circulating NK cells in 3D matrix-based tumor model
Vitale C et al, Cancers 2022 – Tumor Microenvironment and Hydrogel-Based 3D Cancer Models for In Vitro Testing Immunotherapies
Zimmer J et al, Frontiers in Immunology 2021 – Recent 3D Tumor Models for Testing Immune-Mediated Therapies
Marrella A et al, Altex 2020 – 3D fluid-dynamic ovarian cancer model resembling systemic drug administration for efficacy assay
Marrella A et al, Front. Immunology 2019 – Cell-Laden Hydrogel as a Clinical-Relevant 3D Model for Analyzing Neuroblastoma Growth, Immunophenotype, and Susceptibility to Therapies
Cavo M et al, Sci Rep. 2018 – A new cell-laden 3D Alginate-Matrigel hydrogel resembles human breast cancer cell malignant morphology, spread and invasion capability observed “in vivo”
Past Webinars
Explore our webinars where esteemed clients, partners and high-level researchers, present groundbreaking data obtained using our MIVO technology for cancer applications.
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