Evidence map›Paper›PMID 20879797›Full record

ArticleJournal of proteome research2010

Serum autoantibody profiling using a natural glycoprotein microarray for the prognosis of early melanoma.

Yashu Liu, Jintang He, Xaiolei Xie, Gang Su, Seagal Teitz-Tennenbaum, Michael S Sabel, David M Lubman

Abstract readEvaluation Study
In one paragraph

Article in Journal of proteome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  12. Outlier-Based Differential Expression Analysis in Proteomics Studies.Journal of proteomics & bioinformatics · 2011
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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

7 authors.

Yashu LiuDepartment of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, USA.
Jintang He
Xaiolei Xie
Gang Su
Seagal Teitz-Tennenbaum
Michael S Sabel
David M Lubman

Funding

Protein Microarrays for the Humoral Response in CancerR01CA106402 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2004 to 2008
$1.4M
A Lectin Glycoarray Approach for Markers of Pancreatic CancerR21CA124441 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2007 to 2008
$334k
NCI NIH HHS R01 CA106402NCI NIH HHS R01CA106402NCI NIH HHS R21 CA124441NCI NIH HHS R21CA124441
6 · The paper itself

Abstract

The poor prognosis of melanoma and the high cost of lymph node biopsy for melanoma patients have led to an urgent need for the discovery of convenient and accurate prognostic indicators. Here, we have developed a natural glycoprotein microarray to discover serum autoantibodies to distinguish between patients with node negative melanoma and node positive melanoma. Dual-lectin affinity chromatography was used to extract glycoproteins from a melanoma cell line. Liquid-based reverse phase separation and microarray platforms were then applied to separate and spot these natural proteins on nitrocellulose slides. The serum autoantibodies were investigated by exposing these proteins to sera from 43 patients that have already been diagnosed to have different stages of early melanoma. The combination of 9 fractions provides a 55% sensitivity with 100% specificity for the detection of node positive against node negative and a 62% sensitivity with 100% specificity for the detection of node negative against node positive. Recombinant proteins were used to confirm the results using a sample set with 79 patients with diagnosed melanoma. The response of sera against recombinant 94 kD glucose-regulated protein (GRP94), acid ceramidase (ASAH1), cathepsin D (CTSD), and lactate dehydrogenase B (LDHB) shared a similar pattern to the fractions where they were identified. The glycoarray platform provides a convenient and highly reproducible method to profile autoantibodies that could be used as serum biomarkers for prognosis of melanoma.

Indexed as

GlycoproteinsAdultAgedAutoantibodiesBiomarkers, TumorCell Line, TumorEarly Detection of CancerFemaleHumansMaleMelanomaMicroarray AnalysisMiddle AgedPrognosisSensitivity and SpecificityAutoantibodiesBiomarkers, TumorGlycoproteins

Identifiers

PMID20879797
PMCPMC2974814

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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.