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Erschienen in: Medical & Biological Engineering & Computing 2/2012

01.02.2012 | Original Article

Sensor-based cell and tissue screening for personalized cancer chemotherapy

verfasst von: Regina Kleinhans, Martin Brischwein, Pei Wang, Bernhard Becker, Franz Demmel, Tobias Schwarzenberger, Marlies Zottmann, Peter Wolf, Axel Niendorf, Bernhard Wolf

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 2/2012

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Abstract

Personalized tumor chemotherapy depends on reliable assay methods, either based on molecular “predictive biomarkers” or on a direct, functional ex vivo assessment of cellular chemosensitivity. As a member of the latter category, a novel high-content platform is described monitoring human mamma carcinoma explants in real time and label-free before, during and after an ex vivo modeled chemotherapy. Tissue explants are sliced with a vibratome and laid into the microreaction chambers of a 24-well sensor test plate. Within these ≈23 μl volume chambers, sensors for pH and dissolved oxygen record rates of cellular oxygen uptake and extracellular acidification. Robot-controlled fluid system and incubation are parts of the tissue culture maintenance system while an integrated microscope is used for process surveillance. Sliced surgical explants from breast cancerous tissue generate well-detectable ex vivo metabolic activity. Metabolic rates, in particular oxygen consumption rates have a tendency to decrease over time. Nonetheless, the impact of added drugs (doxorubicin, chloroacetaldehyde) is discriminable. Sensor-based platforms should be evaluated in explorative clinical studies for their suitability to support targeted systemic cancer therapy. Throughput is sufficient for testing various drugs in a range of concentrations while the information content obtained from multiparametric real-time analysis is superior to conventional endpoint assays.

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Metadaten
Titel
Sensor-based cell and tissue screening for personalized cancer chemotherapy
verfasst von
Regina Kleinhans
Martin Brischwein
Pei Wang
Bernhard Becker
Franz Demmel
Tobias Schwarzenberger
Marlies Zottmann
Peter Wolf
Axel Niendorf
Bernhard Wolf
Publikationsdatum
01.02.2012
Verlag
Springer-Verlag
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 2/2012
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-011-0855-7

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