Evidence map›Paper›PMID 20569502›Full record

ArticleBreast cancer research : BCR2010

Dynamic changes in gene expression in vivo predict prognosis of tamoxifen-treated patients with breast cancer.

Karen J Taylor, Andrew H Sims, Liang Liang, Dana Faratian, Morwenna Muir, Graeme Walker, Barbara Kuske, J Michael Dixon, David A Cameron, David J Harrison and 1 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The tumor suppressor CDKN3 controls mitosis.The Journal of cell biology · 2013
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Ubiquitin-conjugating enzyme UBE2C: molecular biology, role in tumorigenesis, and potential as a biomarker.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2012
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Karen J TaylorCRUK Cancer Research Centre and Academic Breast Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road South, Edinburgh, UK. Karen.Taylor1@ed.ac.uk
Andrew H Sims
Liang Liang
Dana Faratian
Morwenna Muir
Graeme Walker
Barbara Kuske
J Michael Dixon
David A Cameron
David J Harrison
Simon P Langdon
Edinburgh Cancer Research · GBUniversity of Leeds · GB

Funding

Cancer Research UK
6 · The paper itself

Abstract

introductionTamoxifen is the most widely prescribed anti-estrogen treatment for patients with estrogen receptor (ER)-positive breast cancer. However, there is still a need for biomarkers that reliably predict endocrine sensitivity in breast cancers and these may well be expressed in a dynamic manner.

methodsIn this study we assessed gene expression changes at multiple time points (days 1, 2, 4, 7, 14) after tamoxifen treatment in the ER-positive ZR-75-1 xenograft model that displays significant changes in apoptosis, proliferation and angiogenesis within 2 days of therapy.

resultsHierarchical clustering identified six time-related gene expression patterns, which separated into three groups: two with early/transient responses, two with continuous/late responses and two with variable response patterns. The early/transient response represented reductions in many genes that are involved in cell cycle and proliferation (e.g. BUB1B, CCNA2, CDKN3, MKI67, UBE2C), whereas the continuous/late changed genes represented the more classical estrogen response genes (e.g. TFF1, TFF3, IGFBP5). Genes and the proteins they encode were confirmed to have similar temporal patterns of expression in vitro and in vivo and correlated with reduction in tumour volume in primary breast cancer. The profiles of genes that were most differentially expressed on days 2, 4 and 7 following treatment were able to predict prognosis, whereas those most changed on days 1 and 14 were not, in four tamoxifen treated datasets representing a total of 404 patients.

conclusionsBoth early/transient/proliferation response genes and continuous/late/estrogen-response genes are able to predict prognosis of primary breast tumours in a dynamic manner. Temporal expression of therapy-response genes is clearly an important factor in characterising the response to endocrine therapy in breast tumours which has significant implications for the timing of biopsies in neoadjuvant biomarker studies.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBlotting, WesternBreast NeoplasmsDrug Resistance, NeoplasmEstradiolEstrogen AntagonistsEstrogensFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceMice, NudeOligonucleotide Array Sequence AnalysisBiomarkers, TumorEstradiolEstrogen AntagonistsEstrogensReceptors, EstrogenRNA, MessengerTamoxifen

Identifiers

PMID20569502
PMCPMC2917034
OpenAlexW2143571262

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.