Evidence map›Paper›PMID 20005852›Full record

ArticleMolecular cell2009

Revealing global regulatory perturbations across human cancers.

Hani Goodarzi, Olivier Elemento, Saeed Tavazoie

Abstract readValidation Study
In one paragraph

Article in Molecular cell, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing 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

146 citing papers in PubMed.

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  19. Regulation of theRNA (New York, N.Y.) · 2024
    Article
  20. Article

86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Hani GoodarziDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
Olivier Elemento
Saeed Tavazoie

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI STORTON, DONNA · 2004 to 2013
$30.6M
Predictive Learning of Transcriptional NetworksR01HG003219 · NHGRI · PRINCETON UNIVERSITY · PI TAVAZOIE, SAEED F · 2004 to 2015
$3.7M
Towards a cognitive framework for understanding cellular behaviorDP1OD003787 · OD · PRINCETON UNIVERSITY · PI TAVAZOIE, SAEED F · 2008 to 2011
$3.2M
NCCDPHP CDC HHS 1DP10D003787-01NHGRI NIH HHS R01 HG003219NHGRI NIH HHS R01HG003219NIGMS NIH HHS P50 GM071508NIH HHS DP1 OD003787
6 · The paper itself

Abstract

The discovery of pathways and regulatory networks whose perturbation contributes to neoplastic transformation remains a fundamental challenge for cancer biology. We show that such pathway perturbations, and the cis-regulatory elements through which they operate, can be efficiently extracted from global gene expression profiles. Our approach utilizes information-theoretic analysis of expression levels, pathways, and genomic sequences. Analysis across a diverse set of human cancers reveals the majority of previously known cancer pathways. Through de novo motif discovery we associate these pathways with transcription-factor binding sites and miRNA targets, including those of E2F, NF-Y, p53, and let-7. Follow-up experiments confirmed that these predictions correspond to functional in vivo regulatory interactions. Strikingly, the majority of the perturbations, associated with putative cis-regulatory elements, fall outside of known cancer pathways. Our study provides a systems-level dissection of regulatory perturbations in cancer-an essential component of a rational strategy for therapeutic intervention and drug-target discovery.

Indexed as

Gene Expression Regulation, NeoplasticRegulatory Elements, TranscriptionalSoftwareBurkitt LymphomaCluster AnalysisComputational BiologyGene Expression ProfilingHumansLymphoma, Large B-Cell, DiffuseUrinary Bladder Neoplasms

Identifiers

PMID20005852
PMCPMC2900319

What OpenQuestion holds

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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.