↓ Skip to main content

Somatic mutations in benign breast disease tissue and risk of subsequent invasive breast cancer

Overview of attention for article published in British Journal of Cancer, June 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
25 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
Somatic mutations in benign breast disease tissue and risk of subsequent invasive breast cancer
Published in
British Journal of Cancer, June 2018
DOI 10.1038/s41416-018-0089-7
Pubmed ID
Authors

Thomas E. Rohan, Christopher A. Miller, Tiandao Li, Yihong Wang, Olivier Loudig, Mindy Ginsberg, Andrew Glass, Elaine Mardis

Abstract

Insights into the molecular pathogenesis of breast cancer might come from molecular analysis of tissue from early stages of the disease. We conducted a case-control study nested in a cohort of women who had biopsy-confirmed benign breast disease (BBD) diagnosed between 1971 and 2006 at Kaiser Permanente Northwest and who were followed to mid-2015 to ascertain subsequent invasive breast cancer (IBC); cases (n = 218) were women with BBD who developed subsequent IBC and controls, individually matched (1:1) to cases, were women with BBD who did not develop IBC in the same follow-up interval as that for the corresponding case. Targeted sequence capture and sequencing were performed for 83 genes of importance in breast cancer. There were no significant case-control differences in mutation burden overall, for non-silent mutations, for individual genes, or with respect either to the nature of the gene mutations or to mutational enrichment at the pathway level. For seven subjects with DNA from the BBD and ipsilateral IBC, virtually no mutations were shared. This study, the first to use a targeted multi-gene sequencing approach on early breast cancer precursor lesions to investigate the genomic basis of the disease, showed that somatic mutations detected in BBD tissue were not associated with breast cancer risk.

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 20%
Student > Bachelor 3 12%
Librarian 2 8%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Medicine and Dentistry 5 20%
Biochemistry, Genetics and Molecular Biology 4 16%
Agricultural and Biological Sciences 3 12%
Nursing and Health Professions 1 4%
Computer Science 1 4%
Other 3 12%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 August 2018.
All research outputs
#20,522,137
of 23,090,520 outputs
Outputs from British Journal of Cancer
#10,108
of 10,499 outputs
Outputs of similar age
#289,028
of 329,359 outputs
Outputs of similar age from British Journal of Cancer
#87
of 95 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,499 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 329,359 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.