Evidence map›Paper›PMID 28303910›Full record

ArticleScientific reports2017

Automated Protein Biomarker Analysis: on-line extraction of clinical samples by Molecularly Imprinted Polymers.

Cecilia Rossetti, Magdalena A Świtnicka-Plak, Trine Grønhaug Halvorsen, Peter A G Cormack, Börje Sellergren, Léon Reubsaet

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

6 authors.

Cecilia RossettiDepartment of Pharmaceutical Chemistry, University of Oslo, School of Pharmacy, Postbox 1068 Blindern, 0316 Oslo, Norway.
Magdalena A Świtnicka-PlakWestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, 295 Cathedral Street, Glasgow, G1 1XL, United Kingdom.
Trine Grønhaug HalvorsenDepartment of Pharmaceutical Chemistry, University of Oslo, School of Pharmacy, Postbox 1068 Blindern, 0316 Oslo, Norway.
Peter A G CormackWestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Thomas Graham Building, 295 Cathedral Street, Glasgow, G1 1XL, United Kingdom.
Börje SellergrenDepartment of Biomedical Sciences, Faculty of Health and Society, Malmö University, SE20506 Malmö, Sweden.
Léon ReubsaetDepartment of Pharmaceutical Chemistry, University of Oslo, School of Pharmacy, Postbox 1068 Blindern, 0316 Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robust biomarker quantification is essential for the accurate diagnosis of diseases and is of great value in cancer management. In this paper, an innovative diagnostic platform is presented which provides automated molecularly imprinted solid-phase extraction (MISPE) followed by liquid chromatography-mass spectrometry (LC-MS) for biomarker determination using ProGastrin Releasing Peptide (ProGRP), a highly sensitive biomarker for Small Cell Lung Cancer, as a model. Molecularly imprinted polymer microspheres were synthesized by precipitation polymerization and analytical optimization of the most promising material led to the development of an automated quantification method for ProGRP. The method enabled analysis of patient serum samples with elevated ProGRP levels. Particularly low sample volumes were permitted using the automated extraction within a method which was time-efficient, thereby demonstrating the potential of such a strategy in a clinical setting.

Indexed as

AcrylamidesAmino Acid SequenceBenchmarkingBiomarkers, TumorChromatography, LiquidHumansLung NeoplasmsMass SpectrometryMicrospheresMolecular ImprintingPeptide FragmentsPhenylurea CompoundsPolymerizationRecombinant ProteinsSmall Cell Lung CarcinomaSolid Phase ExtractionAcrylamidesBiomarkers, TumorPeptide FragmentsPhenylurea Compoundspro-gastrin-releasing peptide (31-98)Recombinant Proteins

Identifiers

PMID28303910
PMCPMC5355873

What OpenQuestion holds

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Registered trials

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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.