Evidence map›Paper›PMID 16417408›Full record

ArticlePLoS medicine2006

Gene expression programs in response to hypoxia: cell type specificity and prognostic significance in human cancers.

Jen-Tsan Chi, Zhen Wang, Dimitry S A Nuyten, Edwin H Rodriguez, Marci E Schaner, Ali Salim, Yun Wang, Gunnar B Kristensen, Aslaug Helland, Anne-Lise Børresen-Dale and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 323 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
323citing papers in PubMed, 3 pooled it
21.2field-weighted citation impact, top 1% 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

323 citing papers in PubMed, 3 syntheses or guidelines pooled it, 612 citations in OpenAlex.

  1. Pooled it
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  7. A 26-gene hypoxia signature predicts benefit from hypoxia-modifying therapy in laryngeal cancer but not bladder cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
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  20. Hypoxia Inducible Factor-2α (HIF-2α) Pathway Inhibitors.Journal of kidney cancer and VHL · 2025
    Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 3 countries.

Jen-Tsan ChiDepartment of Biochemistry, Stanford University School of Medicine, Palo Alto, California, United States of America.
Zhen Wang
Dimitry S A Nuyten
Edwin H Rodriguez
Marci E Schaner
Ali Salim
Yun Wang
Gunnar B Kristensen
Aslaug Helland
Anne-Lise Børresen-Dale
Amato Giaccia
Michael T Longaker
Trevor Hastie
George P Yang
Marc J van de Vijver
Patrick O Brown
Palo Alto University · USNorwegian Cancer Society · NOStanford University · USHoward Hughes Medical Institute · USOncode Institute · NLStanford Medicine · USThe Netherlands Cancer Institute · NLVA Palo Alto Health Care System · US

Funding

GENE EXPRESSION IN CANCER BY MICROARRAY HYBRIDIZATIONR01CA077097 · NCI · STANFORD UNIVERSITY · PI BROWN, PATRICK O. · 1997 to 2010
$8.7M
NCI NIH HHS CA77097NCI NIH HHS R01 CA077097
6 · The paper itself

Abstract

backgroundInadequate oxygen (hypoxia) triggers a multifaceted cellular response that has important roles in normal physiology and in many human diseases. A transcription factor, hypoxia-inducible factor (HIF), plays a central role in the hypoxia response; its activity is regulated by the oxygen-dependent degradation of the HIF-1alpha protein. Despite the ubiquity and importance of hypoxia responses, little is known about the variation in the global transcriptional response to hypoxia among different cell types or how this variation might relate to tissue- and cell-specific diseases. METHODS AND

findingsWe analyzed the temporal changes in global transcript levels in response to hypoxia in primary renal proximal tubule epithelial cells, breast epithelial cells, smooth muscle cells, and endothelial cells with DNA microarrays. The extent of the transcriptional response to hypoxia was greatest in the renal tubule cells. This heightened response was associated with a uniquely high level of HIF-1alpha RNA in renal cells, and it could be diminished by reducing HIF-1alpha expression via RNA interference. A gene-expression signature of the hypoxia response, derived from our studies of cultured mammary and renal tubular epithelial cells, showed coordinated variation in several human cancers, and was a strong predictor of clinical outcomes in breast and ovarian cancers. In an analysis of a large, published gene-expression dataset from breast cancers, we found that the prognostic information in the hypoxia signature was virtually independent of that provided by the previously reported wound signature and more predictive of outcomes than any of the clinical parameters in current use.

conclusionsThe transcriptional response to hypoxia varies among human cells. Some of this variation is traceable to variation in expression of the HIF1A gene. A gene-expression signature of the cellular response to hypoxia is associated with a significantly poorer prognosis in breast and ovarian cancer.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedCell HypoxiaCluster AnalysisEpithelial CellsGenome, HumanHumansHypoxia-Inducible Factor 1, alpha SubunitKidney Tubules, ProximalMicroarray AnalysisNeoplasmsPhenotypePrognosisRisk FactorsSurvival AnalysisHypoxia-Inducible Factor 1, alpha Subunit

Identifiers

PMID16417408
PMCPMC1334226
OpenAlexW2071143412

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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.