Evidence map›Paper›PMID 21698244›Full record

ArticlePloS one2011

Transcriptome profiling of whole blood cells identifies PLEK2 and C1QB in human melanoma.

Yuchun Luo, Steven Robinson, Junichi Fujita, Lisa Siconolfi, Jay Magidson, Carl K Edwards, Karl Wassmann, Kathleen Storm, David A Norris, Danute Bankaitis-Davis and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

29 citing papers in PubMed, 51 citations in OpenAlex.

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  7. Frontiers in immunology · 2023
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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

12 authors at 3 institutions in 1 country.

Yuchun LuoDepartment of Dermatology, University of Colorado Denver, Aurora, Colorado, United States of America.
Steven Robinson
Junichi Fujita
Lisa Siconolfi
Jay Magidson
Carl K Edwards
Karl Wassmann
Kathleen Storm
David A Norris
Danute Bankaitis-Davis
William A Robinson
Mayumi Fujita
University of Colorado Denver · USPrimary Source · USClinical Innovations (United States) · US

Funding

Developing a protocol for profiling blood markers of melanomaR03CA125833 · NCI · UNIVERSITY OF COLORADO DENVER · PI FUJITA, MAYUMI · 2008 to 2009
$154k
NCI NIH HHS CA125833NCI NIH HHS R03 CA125833
6 · The paper itself

Abstract

backgroundDeveloping analytical methodologies to identify biomarkers in easily accessible body fluids is highly valuable for the early diagnosis and management of cancer patients. Peripheral whole blood is a "nucleic acid-rich" and "inflammatory cell-rich" information reservoir and represents systemic processes altered by the presence of cancer cells. METHODOLOGY/PRINCIPAL

findingsWe conducted transcriptome profiling of whole blood cells from melanoma patients. To overcome challenges associated with blood-based transcriptome analysis, we used a PAXgene™ tube and NuGEN Ovation™ globin reduction system. The combined use of these systems in microarray resulted in the identification of 78 unique genes differentially expressed in the blood of melanoma patients. Of these, 68 genes were further analyzed by quantitative reverse transcriptase PCR using blood samples from 45 newly diagnosed melanoma patients (stage I to IV) and 50 healthy control individuals. Thirty-nine genes were verified to be differentially expressed in blood samples from melanoma patients. A stepwise logit analysis selected eighteen 2-gene signatures that distinguish melanoma from healthy controls. Of these, a 2-gene signature consisting of PLEK2 and C1QB led to the best result that correctly classified 93.3% melanoma patients and 90% healthy controls. Both genes were upregulated in blood samples of melanoma patients from all stages. Further analysis using blood fractionation showed that CD45(-) and CD45(+) populations were responsible for the altered expression levels of PLEK2 and C1QB, respectively. CONCLUSIONS/SIGNIFICANCE: The current study provides the first analysis of whole blood-based transcriptome biomarkers for malignant melanoma. The expression of PLEK2, the strongest gene to classify melanoma patients, in CD45(-) subsets illustrates the importance of analyzing whole blood cells for biomarker studies. The study suggests that transcriptome profiling of blood cells could be used for both early detection of melanoma and monitoring of patients for residual disease.

Indexed as

Gene Expression ProfilingBase SequenceCase-Control StudiesComplement C1qDNA PrimersHumansMelanomaMembrane ProteinsOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionComplement C1qDNA PrimersMembrane ProteinsPLEK2 protein, human

Identifiers

PMID21698244
PMCPMC3115966
OpenAlexW2043743690

What OpenQuestion holds

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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.