Evidence map›Paper›PMID 22655123›Full record

ArticleCurrent breast cancer reports2010

PARP Inhibitors for the Treatment and Prevention of Breast Cancer.

Shaveta Vinayak, James M Ford

Open access · greenAbstract read
In one paragraph

Article in Current breast cancer reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Review
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  7. Review
  8. Article
  9. Review
  10. Targeting DNA Repair Pathways in Hematological Malignancies.International journal of molecular sciences · 2020
    Review
  11. Review
  12. Article
  13. Emerging strategies in BRCA-positive pancreatic cancer.Journal of cancer research and clinical oncology · 2018
    Review
  14. Review
  15. Mitochondrial Mechanisms of Neuronal Cell Death: Potential Therapeutics.Annual review of pharmacology and toxicology · 2017
    Review
  16. Article
  17. Article
  18. Article
  19. 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 1 institution in 1 country.

Shaveta VinayakDepartment of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA 94305-5151, USA svinayak@stanford.edu.
James M Ford
Stanford University · US

Funding

TRAINING PROGRAM IN INVESTIGATIVE ONCOLOGYT32CA009287 · NCI · STANFORD UNIVERSITY · PI FORD, JAMES M. · 1985 to 2012
$4.6M
NCI NIH HHS T32 CA009287
6 · The paper itself

Abstract

Poly (ADP-ribose) polymerase (PARP) inhibitors, a novel class of drugs that target tumors with DNA repair defects, have received tremendous enthusiasm. Early preclinical studies identified BRCA1 and BRCA2 tumors to be highly sensitive to PARP inhibitors as a result of homologous recombination defect. Based on this premise, PARP inhibitors have been tested in early phase clinical trials as a single agent in BRCA1 or BRCA2 mutation carriers and in combination with chemotherapy in triple-negative breast cancer patients. For high-risk populations, use of PARP inhibition as a prevention agent has been postulated, but no robust preclinical or clinical studies exist yet. We review the preclinical and clinical studies in treatment of breast cancer and rationale for use of PARP inhibitors as a prevention agent for high-risk populations. Of significance, PARP inhibitors vary significantly in mechanism of action, dosing intervals, and toxicities, which are highlighted in this review.

Identifiers

PMID22655123
PMCPMC3361972
OpenAlexW2044475740

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.