Evidence map›Paper›PMID 23500718›Full record

ReviewPharmacology & therapeutics2013

Pharmacogenomics of breast cancer therapy: an update.

Kelly Westbrook, Vered Stearns

Abstract readReview
In one paragraph

Review in Pharmacology & therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-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

17 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. CYP2J2Frontiers in pharmacology · 2019
    Article
  7. Article
  8. The contrasting roles of inflammasomes in cancer.American journal of cancer research · 2018
    Review
  9. Review
  10. Effects ofBreast cancer (Dove Medical Press) · 2017
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

2 authors at 2 institutions in 1 country.

Kelly WestbrookDuke University Medical Center, Duke Cancer Institute, Breast Cancer Program, DUMC Box 3893, 10 Searle Dr., Sealy Mudd Bldg. Room 449A, Durham, NC 27710, United States. Kelly.mitchell@duke.edu
Vered Stearns
Duke Medical Center · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
ONCOLOGY: CHEMOTHERAPY, IMMUNOLOGY, BIOLOGYT32CA009071 · NCI · JOHNS HOPKINS UNIVERSITY · PI Mary Y Armanios, Nilofer S. Azad · 1985 to 2026
$12.8M
NCI NIH HHS 5T32CA009071-32NCI NIH HHS P30 CA006973NCI NIH HHS T32 CA009071
6 · The paper itself

Abstract

Clinical and histopathologic characteristics of breast cancer have long played an important role in treatment decision-making. Well-recognized prognostic factors include tumor size, node status, presence or absence of metastases, tumor grade, and hormone receptor expression. High tumor grade, presence of hormone receptors, and HER2-positivity are a few predictive markers of response to chemotherapy, endocrine manipulations, and anti-HER2 agents, respectively. However, there is much heterogeneity of outcomes in patients with similar clinical and pathologic features despite equivalent treatment regimens. Some of the differences in response to specific therapies can be attributed to somatic tumor characteristics, such as degree of estrogen receptor expression and HER2 status. In recent years, there has been great interest in evaluating the role that pharmacogenetics/pharmacogenomics, or variations in germline DNA, play in alteration of drug metabolism and activity, thus leading to disparate outcomes among patients with similar tumor characteristics. The utility of these variations in treatment decision-making remains debated. Here we review the data available to date on genomic variants that may influence response to drugs commonly used to treat breast cancer. While none of the variants reported to date have demonstrated clinical utility, ongoing prospective studies and increasing understanding of pharmacogenetics will allow us to better predict risk of toxicity or likelihood of response to specific treatments and to provide a more personalized therapy.

Indexed as

Antineoplastic AgentsBiological ProductsBreast NeoplasmsFemaleHumansSelective Estrogen Receptor ModulatorsAntineoplastic AgentsBiological ProductsSelective Estrogen Receptor Modulators

Identifiers

PMID23500718
PMCPMC3660522
OpenAlexW2082727932

What OpenQuestion holds

Textmetadata
LicenceTDM
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.