Evidence map›Paper›PMID 19773543›Full record

ArticleBlood2010

Class prediction models of thrombocytosis using genetic biomarkers.

Dmitri V Gnatenko, Wei Zhu, Xiao Xu, Edward T Samuel, Melissa Monaghan, Mohammad H Zarrabi, Christi Kim, Anil Dhundale, Wadie F Bahou

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

37 citing papers in PubMed, 71 citations in OpenAlex.

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  7. Platelet Heterogeneity in Myeloproliferative Neoplasms.Arteriosclerosis, thrombosis, and vascular biology · 2021
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Dmitri V GnatenkoDepartments of Medicine, Mathematics and Statistics, State University of New York, Stony Brook, NY, USA. dgnatenko@notes.cc.sunysb.edu
Wei Zhu
Xiao Xu
Edward T Samuel
Melissa Monaghan
Mohammad H Zarrabi
Christi Kim
Anil Dhundale
Wadie F Bahou
State University of New York · USApplied Mathematics (United States) · USNorthport VA Medical Center · US

Funding

Platelet Systems Biology in Health and DiseaseR01HL119096 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 2015 to 2019
$3.5M
MOLECULAR CHARACTERIZATION OF THROMBIN RECEPTORR01HL049141 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 1993 to 2007
$1.8M
TARGETED GENE THERAPY FOR HEMOPHILIA AR01HL053665 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 1994 to 2003
$1.8M
Genetic dissection of the platelet thrombohemorrhagic phenotypeR01HL091939 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 2009 to 2012
$1.6M
Molecular profiling of the platelet thrombohemorrhagicR21HL086376 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI BAHOU, WADIE F · 2006 to 2007
$416k
Platelet transcriptome analysis from small blood volumesR21HL076457 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI GNATENKO, DMITRI V · 2004 to 2005
$414k
NHLBI NIH HHS HL086376NHLBI NIH HHS HL49141NHLBI NIH HHS HL53665NHLBI NIH HHS HL76457NHLBI NIH HHS R01 HL049141NHLBI NIH HHS R01 HL053665NHLBI NIH HHS R01 HL091939NHLBI NIH HHS R01 HL119096NHLBI NIH HHS R21 HL076457NHLBI NIH HHS R21 HL086376PHS HHS MO1 10710-5
6 · The paper itself

Abstract

Criteria for distinguishing among etiologies of thrombocytosis are limited in their capacity to delineate clonal (essential thrombocythemia [ET]) from nonclonal (reactive thrombocytosis [RT]) etiologies. We studied platelet transcript profiles of 126 subjects (48 controls, 38 RT, 40 ET [24 contained the JAK2V(617)F mutation]) to identify transcript subsets that segregated phenotypes. Cross-platform consistency was validated using quantitative real-time polymerase chain reaction (RT-PCR). Class prediction algorithms were developed to assign phenotypic class between the thrombocytosis cohorts, and by JAK2 genotype. Sex differences were rare in normal and ET cohorts (< 1% of genes) but were male-skewed for approximately 3% of RT genes. An 11-biomarker gene subset using the microarray data discriminated among the 3 cohorts with 86.3% accuracy, with 93.6% accuracy in 2-way class prediction (ET vs RT). Subsequent quantitative RT-PCR analysis established that these biomarkers were 87.1% accurate in prospective classification of a new cohort. A 4-biomarker gene subset predicted JAK2 wild-type ET in more than 85% patient samples using either microarray or RT-PCR profiling, with lower predictive capacity in JAK2V(617)F mutant ET patients. These results establish that distinct genetic biomarker subsets can predict thrombocytosis class using routine phlebotomy.

Indexed as

Models, GeneticAdultAgedCohort StudiesDiscriminant AnalysisFemaleGene Expression ProfilingGenetic MarkersGenotypeHumansJanus Kinase 2MaleMiddle AgedOligonucleotide Array Sequence AnalysisSex CharacteristicsThrombocytosisGenetic MarkersJanus Kinase 2

Identifiers

PMID19773543
PMCPMC2803693
OpenAlexW2071393079

What OpenQuestion holds

Textmetadata
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.