Evidence map›Paper›PMID 17356713›Full record

ArticleNeoplasia (New York, N.Y.)2007

Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles.

Daniel R Rhodes, Shanker Kalyana-Sundaram, Vasudeva Mahavisno, Radhika Varambally, Jianjun Yu, Benjamin B Briggs, Terrence R Barrette, Matthew J Anstet, Colleen Kincead-Beal, Prakash Kulkarni and 3 more

Abstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,332 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,332citing papers in PubMed, 1 pooled it
–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

1,332 citing papers in PubMed, 1 synthesis or guideline pooled it.

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1,272 more citing papers are in PubMed but not listed here.

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

13 authors.

Daniel R RhodesDepartment of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109-0940, USA.
Shanker Kalyana-Sundaram
Vasudeva Mahavisno
Radhika Varambally
Jianjun Yu
Benjamin B Briggs
Terrence R Barrette
Matthew J Anstet
Colleen Kincead-Beal
Prakash Kulkarni
Sooryanaryana Varambally
Debashis Ghosh
Arul M Chinnaiyan

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Nation Center- Integrative Biomedical Informatics(RMI)U54DA021519 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID · 2005 to 2010
$21.3M
Epitomic Biomarkers of Prostate CancerU01CA111275 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, RUBIN, MARK A. · 2004 to 2015
$6.8M
NCI NIH HHS 5P30 CA46592NCI NIH HHS P30 CA046592NCI NIH HHS U01 CA111275NCI NIH HHS U01 CA111275-01NIDA NIH HHS U54 DA021519NIDA NIH HHS U54 DA021519-01A1
6 · The paper itself

Abstract

DNA microarrays have been widely applied to cancer transcriptome analysis; however, the majority of such data are not easily accessible or comparable. Furthermore, several important analytic approaches have been applied to microarray analysis; however, their application is often limited. To overcome these limitations, we have developed Oncomine, a bioinformatics initiative aimed at collecting, standardizing, analyzing, and delivering cancer transcriptome data to the biomedical research community. Our analysis has identified the genes, pathways, and networks deregulated across 18,000 cancer gene expression microarrays, spanning the majority of cancer types and subtypes. Here, we provide an update on the initiative, describe the database and analysis modules, and highlight several notable observations. Results from this comprehensive analysis are available at http://www.oncomine.org.

Indexed as

Databases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmOligonucleotide Array Sequence AnalysisAntineoplastic AgentsChromosome MappingChromosomes, HumanComputational BiologyData CollectionData DisplayData Interpretation, StatisticalDrug DesignElectronic Data ProcessingHumansInternetAntineoplastic AgentsNeoplasm Proteins

Identifiers

PMID17356713
PMCPMC1813932

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.