Evidence map›Paper›PMID 22290601›Full record

ArticleMedical & biological engineering & computing2012

Sensor-based cell and tissue screening for personalized cancer chemotherapy.

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

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Regina KleinhansHeinz Nixdorf-Lehrstuhl für Medizinische Elektronik, Technische Universität München, Theresienstrasse 90/N3, 80333 Munich, Germany.
Martin Brischwein
Pei Wang
Bernhard Becker
Franz Demmel
Tobias Schwarzenberger
Marlies Zottmann
Peter Wolf
Axel Niendorf
Bernhard Wolf
Technical University of Munich · DEDiamed Medizintechnik (Germany) · DEPathologie Hamburg-West · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Antineoplastic AgentsBiosensing TechniquesBreast NeoplasmsDrug Screening Assays, AntitumorFemaleHumansMolecular Targeted TherapyOxygen ConsumptionPrecision MedicineTumor Cells, CulturedAntineoplastic Agents

Identifiers

PMID22290601
OpenAlexW1971531328

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.