Evidence map›Paper›PMID 31477761›Full record

ArticleScientific reports2019

A New Approach for the Diagnosis of Myelodysplastic Syndrome Subtypes Based on Protein Interaction Analysis.

Leona Chrastinová, Ondřej Pastva, Markéta Bocková, Nicholas S Lynn, Pavel Šácha, Martin Hubálek, Jiří Suttnar, Roman Kotlín, Jana Štikarová, Alžběta Hlaváčková and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

14 authors.

Leona ChrastinováInstitute of Hematology and Blood Transfusion, Prague, Czech Republic. leona.chrastinova@uhkt.cz.
Ondřej PastvaInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Markéta BockováInstitute of Photonics and Electronics, Czech Academy of Sciences, Prague, Czech Republic.
Nicholas S LynnInstitute of Photonics and Electronics, Czech Academy of Sciences, Prague, Czech Republic.
Pavel ŠáchaInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic.
Martin HubálekInstitute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic.
Jiří SuttnarInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Roman KotlínInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Jana ŠtikarováInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Alžběta HlaváčkováInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Kristýna PimkováInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Jaroslav ČermákInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.
Jiří HomolaInstitute of Photonics and Electronics, Czech Academy of Sciences, Prague, Czech Republic.
Jan E DyrInstitute of Hematology and Blood Transfusion, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are a heterogeneous group of hematological malignancies with a high risk of transformation to acute myeloid leukemia (AML). MDS are associated with posttranslational modifications of proteins and variations in the protein expression levels. In this work, we present a novel interactomic diagnostic method based on both protein array and surface plasmon resonance biosensor technology, which enables monitoring of protein-protein interactions in a label-free manner. In contrast to conventional methods based on the detection of individual biomarkers, our presented method relies on measuring interactions between arrays of selected proteins and patient plasma. We apply this method to plasma samples obtained from MDS and AML patients, as well as healthy donors, and demonstrate that even a small protein array comprising six selected proteins allows the method to discriminate among different MDS subtypes and healthy donors.

Indexed as

Protein Interaction MappingAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMyelodysplastic SyndromesPrincipal Component AnalysisProtein BindingSurface Plasmon ResonanceYoung Adult

Identifiers

PMID31477761
PMCPMC6718656

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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.