Evidence map›Paper›PMID 22316387›Full record

ArticleJournal of proteome research2012

Multiplex targeted proteomic assay for biomarker detection in plasma: a pancreatic cancer biomarker case study.

Sheng Pan, Ru Chen, Randall E Brand, Sarah Hawley, Yasuko Tamura, Philip R Gafken, Brian P Milless, David R Goodlett, John Rush, Teresa A Brentnall

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

46 citing papers in PubMed, 95 citations in OpenAlex.

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  11. Current State of "Omics" Biomarkers in Pancreatic Cancer.Journal of personalized medicine · 2021
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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

10 authors at 5 institutions in 1 country.

Sheng PanDepartment of Medicine, University of Washington , Seattle, Washington 98195, United States. shengp@medicine.washington.edu
Ru Chen
Randall E Brand
Sarah Hawley
Yasuko Tamura
Philip R Gafken
Brian P Milless
David R Goodlett
John Rush
Teresa A Brentnall
University of Washington · USFred Hutch Cancer Center · USCanary Foundation · USCell Signaling Technology (United States) · USUniversity of Pittsburgh · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Pancreatic Cancer Protein Biomarkers for Early DetectionR01CA107209 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A · 2006 to 2010
$2.5M
Development of Chronic Pancreatitis BiomarkersR01DK081368 · NIDDK · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A · 2009 to 2010
$1.5M
Protein biomarkers for detection of pancreatic cancerK07CA116296 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2007 to 2011
$650k
Quantitative glycoproteomics for pancreatic cancer studiesK25CA137222 · NCI · UNIVERSITY OF WASHINGTON · PI PAN, SHENG · 2010 to 2014
$612k
Aberrant Glycosylation Signature in Pancreatic CancerR21CA149772 · NCI · UNIVERSITY OF WASHINGTON · PI BRENTNALL, TERESA A, PAN, SHENG · 2011 to 2012
$396k
Pancreatic Juice Biomarker for Pancreatic CancerR21CA161575 · NCI · UNIVERSITY OF WASHINGTON · PI CHEN, RU · 2011 to 2012
$388k
NCI NIH HHS K07 CA116296NCI NIH HHS K07CA116296NCI NIH HHS K25 CA137222NCI NIH HHS K25CA137222NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA107209NCI NIH HHS R01CA107209NCI NIH HHS R21 CA149772NCI NIH HHS R21CA149772NCI NIH HHS R21 CA161575NCI NIH HHS R21CA161575NIDDK NIH HHS R01 DK081368NIDDK NIH HHS R01DK081368
6 · The paper itself

Abstract

Biomarkers are most frequently proteins that are measured in the blood. Their development largely relies on antibody creation to test the protein candidate performance in blood samples of diseased versus nondiseased patients. The creation of such antibody assays has been a bottleneck in biomarker progress due to the cost, extensive time, and effort required to complete the task. Targeted proteomics is an emerging technology that is playing an increasingly important role to facilitate disease biomarker development. In this study, we applied a SRM-based targeted proteomics platform to directly detect candidate biomarker proteins in plasma to evaluate their clinical utility for pancreatic cancer detection. The characterization of these protein candidates used a clinically well-characterized cohort that included plasma samples from patients with pancreatic cancer, chronic pancreatitis, and healthy age-matched controls. Three of the five candidate proteins, including gelsolin, lumican, and tissue inhibitor of metalloproteinase 1, demonstrated an AUC value greater than 0.75 in distinguishing pancreatic cancer from the controls. In addition, we provide an analysis of the reproducibility, accuracy, and robustness of the SRM-based proteomics platform. This information addresses important technical issues that could aid in the adoption of the targeted proteomics platform for practical clinical utility.

Indexed as

14-3-3 ProteinsAmino Acid SequenceArea Under CurveBiomarkers, TumorCarcinoma, Pancreatic DuctalCase-Control StudiesChondroitin Sulfate ProteoglycansEnzyme-Linked Immunosorbent AssayExonucleasesExoribonucleasesGelsolinHumansKeratan SulfateLumicanMolecular Sequence DataPancreatic Neoplasms14-3-3 ProteinsBiomarkers, TumorChondroitin Sulfate ProteoglycansExonucleasesExoribonucleasesGelsolinKeratan SulfateLumicanLUM protein, humanPeptide FragmentsSFN protein, humanTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1

Identifiers

PMID22316387
PMCPMC3292708
OpenAlexW1989333047

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.