Evidence map›Paper›PMID 23603217›Full record

ArticleMethods (San Diego, Calif.)2013

Multi-peptide nLC-PC-IDMS-SRM-based assay for the quantification of biomarkers in the chicken ovarian cancer model.

Genna L Andrews Kingon, James N Petitte, David C Muddiman, Adam M Hawkridge

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2013. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Enhanced Lipidome Coverage in Shotgun Analyses by using Gas-Phase Fractionation.Journal of the American Society for Mass Spectrometry · 2016
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The chicken model of spontaneous ovarian cancer.Proteomics. Clinical applications · 2014
    Review
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

4 authors.

Genna L Andrews KingonW.M. Keck FT-ICR Mass Spectrometry Laboratory and Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA.
James N Petitte
David C Muddiman
Adam M Hawkridge

Funding

Comparative Proteomics Applied to the Avian Model of Ovarian CancerK25CA128666 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI HAWKRIDGE, ADAM M · 2007 to 2011
$717k
NCI NIH HHS K25 CA128666NCI NIH HHS K25CA128666
6 · The paper itself

Abstract

A novel form of ovomacroglobulin/ovostatin (OVOS2) predicted from EST data was previously identified in the chicken ovarian cancer model using a mass spectrometry-based shotgun label-free proteomics strategy. The quantitative label-free data from plasma showed a significant increase over time with the spontaneous onset and progression of ovarian cancer making it a potential protein biomarker for further study. Two other proteins of interest identified from this initial study included vitellogenin-1 (Vit-1), a lipid-transport protein tied to egg production, and transthyretin (TTR), a retinol binding transport protein currently used in the clinical management of ovarian cancer. A multiplexed protein cleavage isotope dilution mass spectrometry (PC-IDMS) assay was developed to quantify OVOS2, Vit-1, and TTR by selected reaction monitoring (SRM). A total of 6 stable isotope labeled (SIL) peptide standards were used in the assay with three tryptic peptides from OVOS2, one for Vit-1, and two for TTR. The assay was developed for use with un-depleted raw plasma combined with the filter assisted sample preparation (FASP) method and its use was also demonstrated for matched ovary tissue samples. The PC-IDMS data for the two TTR peptides did not correlate with each other with more than a 10-fold difference in concentration for all 5 time points measured. The PC-IDMS data from the longitudinal plasma samples correlated well for OVOS2 and Vit-1 whereas TTR was inconclusive. Interestingly, the absolute amount for one of the OVOS2 SIL peptides was 2-fold less compared with the other two SIL peptides. These data illustrate the successes and challenges of qualifying quantitative levels of proteins from an in-gel digestion sample preparation followed by LC-MS/MS (GeLC) label-free discovery-based approach to a targeted SRM-based quantitative assay in plasma and tissues.

Indexed as

Biological Assayalpha-MacroglobulinsAmino Acid SequenceAnimalsBiomarkers, TumorCalibrationCarbon IsotopesChickensDisease Models, AnimalFemaleHumansIndicator Dilution TechniquesIsotope LabelingMolecular Sequence DataNitrogen IsotopesOvarian Neoplasmsalpha-MacroglobulinsBiomarkers, TumorCarbon IsotopesNitrogen IsotopesovomacroglobulinPeptide FragmentsPrealbuminVitellogenins

Identifiers

PMID23603217
PMCPMC4163925

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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.