Evidence map›Paper›PMID 22786679›Full record

ArticleScience translational medicine2012

Reproducible quantification of cancer-associated proteins in body fluids using targeted proteomics.

Ruth Hüttenhain, Martin Soste, Nathalie Selevsek, Hannes Röst, Atul Sethi, Christine Carapito, Terry Farrah, Eric W Deutsch, Ulrike Kusebauch, Robert L Moritz and 3 more

Abstract read
In one paragraph

Article in Science translational medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 1 pooled it
–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

113 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Clinical potential of mass spectrometry-based proteogenomics.Nature reviews. Clinical oncology · 2019
    Review

53 more citing papers are in PubMed but not listed here.

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

13 authors.

Ruth HüttenhainDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland. huettenhain@imsb.biol.ethz.ch
Martin Soste
Nathalie Selevsek
Hannes Röst
Atul Sethi
Christine Carapito
Terry Farrah
Eric W Deutsch
Ulrike Kusebauch
Robert L Moritz
Emma Niméus-Malmström
Oliver Rinner
Ruedi Aebersold

Funding

Complete Human Peptide- and MRM-AtlasRC2HG005805 · NHGRI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HOOD, LEROY E, MORITZ, ROBERT L · 2009 to 2010
$4.6M
European Research Council 233226NHGRI NIH HHS HG005805NHGRI NIH HHS RC2 HG005805
6 · The paper itself

Abstract

The rigorous testing of hypotheses on suitable sample cohorts is a major limitation in translational research. This is particularly the case for the validation of protein biomarkers; the lack of accurate, reproducible, and sensitive assays for most proteins has precluded the systematic assessment of hundreds of potential marker proteins described in the literature. Here, we describe a high-throughput method for the development and refinement of selected reaction monitoring (SRM) assays for human proteins. The method was applied to generate such assays for more than 1000 cancer-associated proteins, which are functionally related to candidate cancer driver mutations. We used the assays to determine the detectability of the target proteins in two clinically relevant samples: plasma and urine. One hundred eighty-two proteins were detected in depleted plasma, spanning five orders of magnitude in abundance and reaching below a concentration of 10 ng/ml. The narrower concentration range of proteins in urine allowed the detection of 408 proteins. Moreover, we demonstrate that these SRM assays allow reproducible quantification by monitoring 34 biomarker candidates across 83 patient plasma samples. Through public access to the entire assay library, researchers will be able to target their cancer-associated proteins of interest in any sample type using the detectability information in plasma and urine as a guide. The generated expandable reference map of SRM assays for cancer-associated proteins will be a valuable resource for accelerating and planning biomarker verification studies.

Indexed as

Biomarkers, TumorBody FluidsCohort StudiesFemaleGenes, NeoplasmHumansMutationNeoplasm ProteinsNeoplasmsOvarian NeoplasmsPeptidesProtein Interaction MapsProteomicsReproducibility of ResultsBiomarkers, TumorNeoplasm ProteinsPeptides

Identifiers

PMID22786679
PMCPMC3766734

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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.