Evidence map›Paper›PMID 21133699›Full record

ReviewBiomarkers in medicine2010

Restructuring proteomics through verification.

Emily Boja, Robert Rivers, Christopher Kinsinger, Mehdi Mesri, Tara Hiltke, Amir Rahbar, Henry Rodriguez

Open access · greenAbstract readReview
In one paragraph

Review in Biomarkers in medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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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

7 authors at 1 institution in 1 country.

Emily BojaOffice of Cancer Clinical Proteomics Research, Center for Strategic Scientific Initiative, National Cancer Institute, NIH, 31 Center Drive, MS 2590, Bethesda, MD 20892, USA.
Robert Rivers
Christopher Kinsinger
Mehdi Mesri
Tara Hiltke
Amir Rahbar
Henry Rodriguez
National Cancer Institute · US

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Proteomics technologies have revolutionized cell biology and biochemistry by providing powerful new tools to characterize complex proteomes, multiprotein complexes and post-translational modifications. Although proteomics technologies could address important problems in clinical and translational cancer research, attempts to use proteomics approaches to discover cancer biomarkers in biofluids and tissues have been largely unsuccessful and have given rise to considerable skepticism. The National Cancer Institute has taken a leading role in facilitating the translation of proteomics from research to clinical application, through its Clinical Proteomic Technologies for Cancer. This article highlights the building of a more reliable and efficient protein biomarker development pipeline that incorporates three steps: discovery, verification and qualification. In addition, we discuss the merits of multiple reaction monitoring mass spectrometry, a multiplex targeted proteomics platform, which has emerged as a potentially promising, high-throughput protein biomarker measurements technology for preclinical 'verification'.

Indexed as

BiomarkersHumansMass SpectrometryNational Cancer Institute (U.S.)ProteomicsReproducibility of ResultsUnited StatesUnited States Food and Drug AdministrationBiomarkers

Identifiers

PMID21133699
PMCPMC3041639
OpenAlexW2148014048

What OpenQuestion holds

Textmetadata
LicenceTDM
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.