Evidence map›Paper›PMID 26581546›Full record

ReviewExpert review of proteomics2016

The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification.

Hui Wang, Tujin Shi, Wei-Jun Qian, Tao Liu, Jacob Kagan, Sudhir Srivastava, Richard D Smith, Karin D Rodland, David G Camp

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Proteomic Profiling and Biomarker Discovery in Colorectal Liver Metastases.International journal of molecular sciences · 2022
    Review
  8. Article
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  15. 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

9 authors.

Hui Wanga Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA.
Tujin Shia Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA.
Wei-Jun Qiana Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA.
Tao Liua Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA.
Jacob Kaganb Division of Cancer Prevention , National Cancer Institute (NCI) , Rockville , MD , USA.
Sudhir Srivastavab Division of Cancer Prevention , National Cancer Institute (NCI) , Rockville , MD , USA.
Richard D Smitha Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA.
Karin D Rodlanda Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA.
David G Campa Biological Sciences Division , Pacific Northwest National Laboratory , Richland , WA , USA.

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
PNNL Clinical Proteome Characterization CenterU24CA160019 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI RODLAND, KARIN D, SMITH, RICHARD D · 2011 to 2016
$15.7M
Regulatory Networks and Biomarkers of Beta-cell Dysfunction and ApoptosisUC4DK104167 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KULKARNI, ROHIT N., MATHEWS, CLAYTON E · 2014 to 2016
$2.7M
A Universal Multiplex Assay System for High-Throughput Clinical ApplicationsDP2OD006668 · OD · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI QIAN, WEI-JUN · 2009 to 2009
$2.1M
NCI NIH HHS U24 CA160019NCI NIH HHS U24-CA-160019NCI NIH HHS Y01-CN-05013-29NIDDK NIH HHS UC4 DK104167NIDDK NIH HHS UC4DK104167NIGMS NIH HHS P41 GM103493NIGMS NIH HHS P41GM103493NIH HHS DP2 OD006668NIH HHS DP2OD006668
6 · The paper itself

Abstract

Mass spectrometry (MS) -based proteomics has become an indispensable tool with broad applications in systems biology and biomedical research. With recent advances in liquid chromatography (LC) and MS instrumentation, LC-MS is making increasingly significant contributions to clinical applications, especially in the area of cancer biomarker discovery and verification. To overcome challenges associated with analyses of clinical samples (for example, a wide dynamic range of protein concentrations in bodily fluids and the need to perform high throughput and accurate quantification of candidate biomarker proteins), significant efforts have been devoted to improve the overall performance of LC-MS-based clinical proteomics platforms. Reviewed here are the recent advances in LC-MS and its applications in cancer biomarker discovery and quantification, along with the potentials, limitations and future perspectives.

Indexed as

AnimalsBiomarkers, TumorChromatography, LiquidHumansIsotope LabelingNeoplasmsProtein Processing, Post-TranslationalProteomeTandem Mass SpectrometryBiomarkers, TumorProteomecancer biomarkerisobaric labellinglabel-freeLC–MSmultiple reaction monitoringPRISMproteomicsselected reaction monitoringtargeted quantification

Identifiers

PMID26581546
PMCPMC4822694

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.