Evidence map›Paper›PMID 29544642›Full record

ArticleVitamins and hormones2018

Characterization of the Ovarian Tumor Peptidome.

Tao Liu, Karin D Rodland, Richard D Smith

Abstract read
In one paragraph

Article in Vitamins and hormones, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The role of micropeptides in biology.Cellular and molecular life sciences : CMLS · 2021
    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

3 authors.

Tao LiuPacific Northwest National Laboratory, Richland, WA, United States.
Karin D RodlandPacific Northwest National Laboratory, Richland, WA, United States.
Richard D SmithPacific Northwest National Laboratory, Richland, WA, United States. Electronic address: rds@pnnl.gov.

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
NCI NIH HHS U24 CA160019NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Aberrant degradation of proteins is associated with many pathological states, including cancers. Mass spectrometric analysis of the tumor peptidome has the potential to provide biological insights on proteolytic processing in cancer. However, attempts to use the tumors peptidome information in cancer research have been fairly limited to date, largely due to the lack of effective approaches for robust peptidomics identification and quantification, and the prevalence of confounding factors and biases associated with sample handling and processing. To address this need, we have recently developed an effective and robust analytical platform as well as a novel informatics approach for comprehensive analyses of tissue peptidomes. The ability of this new peptidomics pipeline for high-throughput, comprehensive, and quantitative peptidomics analysis, as well as the suitability of clinical ovarian tumor samples with postexcision delay limited to less than 60min before freezing for peptidomics analysis, has been demonstrated. These initial analyses set a stage for further determination of molecular details and functional significance of the peptidomic activities in ovarian cancer.

Indexed as

CarcinomaChromatography, High Pressure LiquidChymotrypsinCluster AnalysisDatabases, ProteinDouble Effect PrincipleFemaleHumansMolecular WeightNeoplasm GradingNeoplasm ProteinsNeoplasm StagingOvarian NeoplasmsOvaryPeptide FragmentsProtein StabilityChymotrypsinNeoplasm ProteinsPeptide FragmentsIdentificationInformed quantitationIschemiaMS-GF+Ovarian cancerPeptidomicsProteasesProtein degradationQuantificationTumor

Identifiers

PMID29544642
PMCPMC6233302

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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.