↓ Skip to main content

PARP Inhibitors in the Treatment of Triple-Negative Breast Cancer

Overview of attention for article published in Clinical Pharmacokinetics, October 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
144 Mendeley
Title
PARP Inhibitors in the Treatment of Triple-Negative Breast Cancer
Published in
Clinical Pharmacokinetics, October 2017
DOI 10.1007/s40262-017-0587-4
Pubmed ID
Authors

Jill J. J. Geenen, Sabine C. Linn, Jos H. Beijnen, Jan H. M. Schellens

Abstract

Breast cancer is a heterogeneous disease, manifesting in a broad differentiation in phenotypes and morphologic profiles, resulting in variable clinical behavior. Between 10 and 20% of all breast cancers are triple negative. Triple-negative breast cancer (TNBC) lacks the expression of human epidermal growth factor receptor 2 (HER2) and hormone receptors; therefore, to date, chemotherapy remains the backbone of treatment. TNBC tends to be aggressive and has a high histological grade, resulting in a poor 5-year prognosis. It has a high prevalence of BRCA1 mutations and an increased Ki-67 expression. This subtype usually responds well to taxanes and/or platinum compounds and poly (ADP-ribose) polymerase (PARP) inhibitors. Studies with PARP inhibitors have demonstrated promising results in the treatment of BRCA-mutated breast and ovarian cancer, and PARP inhibitors have been studied as monotherapy and in combination with cytotoxic therapy or radiotherapy. PARP inhibitor efficacy on poly (ADP-ribose) polymer (PAR) formation in vivo can be quantified by pharmacodynamic assays that measure PAR activity in peripheral blood mononuclear cells (PBMC). Biomarkers such as TP53, ATM, PALB2 and RAD51C might be prognostic or predictive indicators for treatment response, and could also provide targets for novel treatment strategies. In summary, this review provides an overview of the treatment options for basal-like TNBC, including PARP inhibitors, and focuses on the pharmacotherapeutic options in these patients.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 15%
Student > Master 17 12%
Student > Ph. D. Student 15 10%
Student > Doctoral Student 10 7%
Researcher 9 6%
Other 17 12%
Unknown 54 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 23%
Medicine and Dentistry 22 15%
Pharmacology, Toxicology and Pharmaceutical Science 9 6%
Agricultural and Biological Sciences 8 6%
Immunology and Microbiology 4 3%
Other 13 9%
Unknown 55 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 August 2022.
All research outputs
#7,035,350
of 23,025,074 outputs
Outputs from Clinical Pharmacokinetics
#554
of 1,495 outputs
Outputs of similar age
#115,359
of 327,906 outputs
Outputs of similar age from Clinical Pharmacokinetics
#8
of 18 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,495 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,906 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.