Evidence map›Paper›PMID 29254211›Full record

ArticleOncotarget2017

Multiplexed targeted mass spectrometry assays for prostate cancer-associated urinary proteins.

Tujin Shi, Sue-Ing Quek, Yuqian Gao, Carrie D Nicora, Song Nie, Thomas L Fillmore, Tao Liu, Karin D Rodland, Richard D Smith, Robin J Leach and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  10. Aging and the clock: Perspective from flies to humans.The European journal of neuroscience · 2020
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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

15 authors at 4 institutions in 2 countries.

Tujin ShiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Sue-Ing QuekDepartment of Urology, University of Washington, Seattle, WA, USA.
Yuqian GaoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Carrie D NicoraBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Song NieBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Thomas L FillmoreEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA.
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Karin D RodlandBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Robin J LeachDepartment of Urology and the Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Ian M ThompsonDepartment of Urology and the Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Elizabeth A VitelloDepartment of Urology, University of Washington, Seattle, WA, USA.
William J EllisDepartment of Urology, University of Washington, Seattle, WA, USA.
Alvin Y LiuDepartment of Urology, University of Washington, Seattle, WA, USA.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Pacific Northwest National Laboratory · USUniversity of Washington · USThe University of Texas Health Science Center at San Antonio · USSingapore Polytechnic · SG

Funding

SAN ANTONIO CENTER OF BIOMARKERS OF RISK FOR PROSTATE CAU01CA086402 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEACH, ROBIN JEAN, THOMPSON, IAN M. · 2000 to 2018
$33.1M
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
The Early Detection Research Network: Biomarker Developmental LaboratoriesU01CA111244 · NCI · UNIVERSITY OF WASHINGTON · PI LIU, ALVIN Y · 2004 to 2015
$4.1M
NCI NIH HHS U01 CA086402NCI NIH HHS U01 CA111244NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Biomarkers for effective early diagnosis and prognosis of prostate cancer are still lacking. Multiplexed assays for cancer-associated proteins could be useful for identifying biomarkers for cancer detection and stratification. Herein, we report the development of sensitive targeted mass spectrometry assays for simultaneous quantification of 10 prostate cancer-associated proteins in urine. The diagnostic utility of these markers was evaluated with an initial cohort of 20 clinical urine samples. Individual marker concentration was normalized against the measured urinary prostate-specific antigen level as a reference of prostate-specific secretion. The areas under the receiver-operating characteristic curves for the 10 proteins ranged from 0.75 for CXL14 to 0.87 for CEAM5. Furthermore, MMP9 level was found to be significantly higher in patients with high Gleason scores, suggesting a potential of MMP9 as a marker for risk level assessment. Taken together, our work illustrated the feasibility of accurate multiplexed measurements of low-abundance cancer-associated proteins in urine and provided a viable path forward for preclinical verification of candidate biomarkers for prostate cancer.

Indexed as

prostate cancerprostate cancer detectionsecreted protein biomarkersselected reaction monitoringtargeted mass spectrometry

Identifiers

PMID29254211
PMCPMC5731921
OpenAlexW2764253862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.