Evidence map›Paper›PMID 16882715›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2006

Importance of dosage standardization for interpreting transcriptomal signature profiles: evidence from studies of xenoestrogens.

Toshi Shioda, Jessica Chesnes, Kathryn R Coser, Lihua Zou, Jingyung Hur, Kathleen L Dean, Carlos Sonnenschein, Ana M Soto, Kurt J Isselbacher

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Estrogen receptor 1 expression and methylation ofEnvironmental epigenetics · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Non-monotonic dose responses in studies of endocrine disrupting chemicals: bisphenol a as a case study.Dose-response : a publication of International Hormesis Society · 2014
    Article
  17. Expressomal approach for comprehensive analysis and visualization of ligand sensitivities of xenoestrogen responsive genes.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  18. The estrogenic content of rodent diets, bedding, cages, and water bottles and its effect on bisphenol A studies.Journal of the American Association for Laboratory Animal Science : JAALAS · 2013
    Review
  19. PPTOX III: environmental stressors in the developmental origins of disease--evidence and mechanisms.Toxicological sciences : an official journal of the Society of Toxicology · 2013
    Article
  20. Article
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

9 authors at 3 institutions in 1 country.

Toshi ShiodaDepartment of Tumor Biology and Molecular Profiling Laboratory, Massachusetts General Hospital Center for Cancer Research, Charlestown, MA 02129, USA. tshioda@partners.org
Jessica Chesnes
Kathryn R Coser
Lihua Zou
Jingyung Hur
Kathleen L Dean
Carlos Sonnenschein
Ana M Soto
Kurt J Isselbacher
Massachusetts General Hospital · USCenter for Cancer Research · USTufts University · US

Funding

FUNCTIONS OF MSG1 FAMILY TRANSCRIPTION ACTIVATORSR01CA082230 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SHIODA, TOSHIHIRO · 1999 to 2005
$1.9M
Prenatal xenoestrogen exposure and mammary cancerR21ES012301 · NIEHS · TUFTS UNIVERSITY BOSTON · PI SOTO, ANA · 2005 to 2006
$445k
NCI NIH HHS R01 CA082230NCI NIH HHS R01 CA82230NIEHS NIH HHS ES012301NIEHS NIH HHS R21 ES012301
6 · The paper itself

Abstract

To obtain insights into similarities and differences in the biological actions of related drugs or toxic agents, their transcriptomal signature profiles (TSPs) have been examined in a large number of studies. However, many such reports did not provide proper justification for the dosage criteria of each agent. Using a well characterized cell culture model of estrogen-dependent proliferation of MCF7 human breast cancer cells, we demonstrate how different approaches to dosage standardization exert critical influences on TSPs, leading to different and even conflicting conclusions. Using quantitative cellular response (QCR)-based dosage criteria, TSPs were determined by Affymetrix microarray when cells were proliferating at comparable rates in the presence of various estrogens. We observed that TSPs of the xenoestrogens (e.g., genistein or bisphenol A) were clearly different from the TSP of 17beta-estradiol; namely, the former strongly enhanced expression of genes involved in mitochondrial oxidative phosphorylation, whereas the latter showed minimal effects. In contrast, TSPs for genistein and 17beta-estradiol were indistinguishable by using the marker gene expression-based dosage criteria, conditions in which there was comparable expression of the mRNA transcripts for the estrogen-inducible WISP2 gene. Our findings indicate that determination and interpretation of TSPs in pharmacogenomic and toxicogenomic studies that examine the transcriptomal actions of related agents by microarray require a clear rationale for the dosage standardization method to be used. We suggest that future studies involving TSP analyses use quantitative and objective dosage standardization methods, such as those with quantitative cellular response or marker gene expression-based dosage criteria.

Indexed as

Reference StandardsCell Line, TumorCell ProliferationDose-Response Relationship, DrugEstradiolEstrogensGene Expression ProfilingHumansMitochondriaOligonucleotide Array Sequence AnalysisOxygenTranscription, GeneticEstradiolEstrogensOxygen

Identifiers

PMID16882715
PMCPMC1525050
OpenAlexW1967256854

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.