Evidence map›Paper›PMID 20148177›Full record

ArticleGene therapy & molecular biology2008

Regulation of hormonal therapy resistance by cell cycle machinery.

Binoj Chandrasekharan Nair, Ratna K Vadlamudi

Abstract read
In one paragraph

Article in Gene therapy & molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 42% 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, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. CDK4/6 inhibitor resistance mechanisms and treatment strategies (Review).International journal of molecular medicine · 2022
    Review
  11. Article
  12. Exploring new pathways in endocrine-resistant breast cancer.Exploration of targeted anti-tumor therapy · 2022
    Review
  13. Endocrine therapy resistance: what we know and future directions.Exploration of targeted anti-tumor therapy · 2022
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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

2 authors at 1 institution in 1 country.

Binoj Chandrasekharan NairDepartment of Obstetrics and Gynecology, The University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229.
Ratna K Vadlamudi
The University of Texas Health Science Center at San Antonio · US

Funding

PELP1, a Novel Regulator of Estrogen ReceptorR01CA095681 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI VADLAMUDI, RATNA K · 2003 to 2013
$2.5M
NCI NIH HHS R01 CA095681
6 · The paper itself

Abstract

Estrogen Receptor (ER) plays a central role in the development and progression of breast cancer. Hormonal therapy substantially improves disease-free survival of ER+ve breast tumors, however acquired resistance to endocrine therapies frequently occur. Emerging data implicate growth factor signaling pathways and their cross talk with ER as major cause of resistance. Both these pathways have been recently shown to use cell cycle machinery as downstream effectors in mediating therapy resistance. Several studies have demonstrated deregulation of cell cycle regulators and their cross talk with ER in therapy resistant tumors. The objective of this article is to review the underlying mechanisms by which tumor cells use cell cycle machinery to override hormonal therapy and to explore cell cycle machinery components as novel therapy targets for overcoming hormonal therapy resistance.

Identifiers

PMID20148177
PMCPMC2817953
OpenAlexW18756793

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.