Evidence map›Paper›PMID 32109350›Full record

ArticleProteomics. Clinical applications2020

Quantification of Biomarker Proteins Using Reverse-Phase Protein Arrays.

Tesshi Yamada

Abstract readComment
PubMed Publisher
In one paragraph

Article in Proteomics. Clinical applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Tesshi YamadaNational Cancer Center Research Institute, Tokyo, 104-0045, Japan.ORCID 0000-0002-6843-7482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is expected that antibody-based proteomics will soon occupy a pivotal position in the discovery and validation of biomarkers and therapeutic targets. The reverse-phase protein array (RPPA) is an antibody-based proteomic method that can quantify the expression of multiple posttranslationally modified proteins (such as those that have been phosphorylated) across a large number of protein samples. RPPA is highly sensitive and requires only very small protein samples. This feature, in combination with large antibody libraries, makes RPPA ideal for clinical proteomics, as well as the fact that it is an expandable multiplex assay. In Volume 14, Issue 1 of Proteomics Clinical Applications, Suzuki and colleagues report for the first time a study comparing RPPA and immunohistochemistry for quantification of seven biomarker proteins used for subtyping of diffuse large B-cell lymphoma. Such combination of multiple biomarkers is likely to increase diagnostic accuracy and can be used for precise classification of this heterogeneous disease.

Indexed as

Lymphoma, B-CellProtein Array AnalysisBiomarkersHumansProteinsProteomicsBiomarkersProteinsc-Mycdiffuse large B-cell lymphoma (DLBCL)immunohistochemistry (IHC)reverse-phase-protein-array (RPPA)

Identifiers

PMID32109350

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.