Evidence map›Paper›PMID 19270750›Full record

SynthesisPloS one2009

Meta-analysis and gene set enrichment relative to er status reveal elevated activity of MYC and E2F in the "basal" breast cancer subgroup.

M Chehani Alles, Margaret Gardiner-Garden, David J Nott, Yixin Wang, John A Foekens, Robert L Sutherland, Elizabeth A Musgrove, Christopher J Ormandy

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 8% 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

66 citing papers in PubMed, 2 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. A Phase I Dose-Escalation and Expansion Study of Telaglenastat in Patients with Advanced or Metastatic Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

6 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

8 authors at 4 institutions in 4 countries.

M Chehani AllesCancer Research Program, Garvan Institute of Medical Research, Sydney, Australia.
Margaret Gardiner-Garden
David J Nott
Yixin Wang
John A Foekens
Robert L Sutherland
Elizabeth A Musgrove
Christopher J Ormandy
Garvan Institute of Medical Research · AUCancer Genomics Centre · NLJohnson & Johnson (United States) · USNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancers lacking the estrogen receptor (ER) can be distinguished from other breast cancers on the basis of poor prognosis, high grade, distinctive histopathology and unique molecular signatures. These features further distinguish estrogen receptor negative (ER-) tumor subtypes, but targeted therapy is currently limited to tumors over-expressing the ErbB2 receptor. METHODOLOGY/PRINCIPAL

findingsTo uncover the pathways against which future therapies could be developed we undertook a meta-analysis of gene expression from five large microarray datasets relative to ER status. A measure of association with ER status was calculated for every Affymetrix HG-U133A probe set and the pathways that distinguished ER- tumors were defined by testing for enrichment of biologically defined gene sets using Gene Set Enrichment Analysis (GSEA). As expected, the expression of the direct transcriptional targets of the ER was muted in ER- tumors, but the expression of genes indirectly regulated by estrogen was enhanced. We also observed enrichment of independent MYC- and E2F-driven transcriptional programs. We used a cell model of estrogen and MYC action to define the interaction between estrogen and MYC transcriptional activity in breast cancer. We found that the basal subgroup of ER- breast cancer showed a strong MYC transcriptional response that reproduced the indirect estrogen response seen in estrogen receptor positive (ER+) breast cancer cells. CONCLUSIONS/SIGNIFICANCE: Increased transcriptional activity of MYC is a characteristic of basal breast cancers where it mimics a large part of an estrogen response in the absence of the ER, suggesting a mechanism by which these cancers achieve estrogen-independence and providing a potential therapeutic target for this poor prognosis sub group of breast cancer.

Indexed as

Gene Expression ProfilingAlgorithmsBasal Cell CarcinomaBiomarkers, TumorBreast NeoplasmsDiagnosis, Computer-AssistedE2F Transcription FactorsFemaleGene Expression Regulation, NeoplasticHumansOligonucleotide Array Sequence AnalysisProto-Oncogene Proteins c-mycReceptors, EstrogenRegulatory Elements, TranscriptionalBiomarkers, TumorE2F Transcription FactorsMYC protein, humanProto-Oncogene Proteins c-mycReceptors, Estrogen

Identifiers

PMID19270750
PMCPMC2650420
OpenAlexW1983481592

What OpenQuestion holds

Textmetadata
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.