↓ Skip to main content

Recent Advances in the Treatment of Breast Cancer

Overview of attention for article published in Frontiers in oncology, June 2018
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
6 X users

Citations

dimensions_citation
288 Dimensions

Readers on

mendeley
573 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Recent Advances in the Treatment of Breast Cancer
Published in
Frontiers in oncology, June 2018
DOI 10.3389/fonc.2018.00227
Pubmed ID
Authors

Christy W. S. Tong, Mingxia Wu, William C. S. Cho, Kenneth K. W. To

Abstract

Breast cancer (BC) is the most common malignancy in women. It is classified into a few major molecular subtypes according to hormone and growth factor receptor expression. Over the past few years, substantial advances have been made in the discovery of new drugs for treating BC. Improved understanding of the biologic heterogeneity of BC has allowed the development of more effective and individualized approach to treatment. In this review, we provide an update about the current treatment strategy and discuss the various emerging novel therapies for the major molecular subtypes of BC. A brief account of the clinical development of inhibitors of poly(ADP-ribose) polymerase, cyclin-dependent kinases 4 and 6, phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin pathway, histone deacetylation, multi-targeting tyrosine kinases, and immune checkpoints for personalized treatment of BC is included. However, no targeted drug has been approved for the most aggressive subtype-triple negative breast cancer (TNBC). Thus, we discuss the heterogeneity of TNBC and how molecular subtyping of TNBC may help drug discovery for this deadly disease. The emergence of drug resistance also poses threat to the successful development of targeted therapy in various molecular subtypes of BC. New clinical trials should incorporate advanced methods to identify changes induced by drug treatment, which may be associated with the upregulation of compensatory signaling pathways in drug resistant cancer cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 573 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 573 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 89 16%
Student > Master 64 11%
Student > Ph. D. Student 57 10%
Researcher 41 7%
Student > Doctoral Student 22 4%
Other 53 9%
Unknown 247 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 18%
Pharmacology, Toxicology and Pharmaceutical Science 60 10%
Medicine and Dentistry 53 9%
Agricultural and Biological Sciences 30 5%
Nursing and Health Professions 15 3%
Other 56 10%
Unknown 257 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 October 2023.
All research outputs
#14,888,649
of 26,161,782 outputs
Outputs from Frontiers in oncology
#3,770
of 22,911 outputs
Outputs of similar age
#169,776
of 344,789 outputs
Outputs of similar age from Frontiers in oncology
#57
of 157 outputs
Altmetric has tracked 26,161,782 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,911 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 83% 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 344,789 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 50% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.