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Expanded Gene Panel Use for Women With Breast Cancer: Identification and Intervention Beyond Breast Cancer Risk

Overview of attention for article published in Annals of Surgical Oncology, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 6,530)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
49 news outlets
twitter
7 X users

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
78 Mendeley
Title
Expanded Gene Panel Use for Women With Breast Cancer: Identification and Intervention Beyond Breast Cancer Risk
Published in
Annals of Surgical Oncology, August 2017
DOI 10.1245/s10434-017-5963-7
Pubmed ID
Authors

Erin O’Leary, Daniela Iacoboni, Jennifer Holle, Scott T. Michalski, Edward D. Esplin, Shan Yang, Karen Ouyang

Abstract

Clinicians ordering multi-gene next-generation sequencing panels for hereditary breast cancer risk have a variety of test panel options. Many panels include lesser known breast cancer genes or genes associated with other cancers. The authors hypothesized that using broader gene panels increases the identification of clinically significant findings, some relevant and others incidental to the testing indication. They examined clinician ordering patterns and compared the yield of pathogenic or likely pathogenic (P/LP) variants in non-BRCA genes of female breast cancer patients. This study analyzed de-identified personal and family histories in 1085 breast cancer cases with P/LP multi-gene panel findings in non-BRCA cancer genes and sorted them into three groups by the panel used for testing: group A (breast cancer genes only), group B (commonly assessed cancers: breast, gynecologic, and gastrointestinal), and group C (a more expanded set of tumors). The frequency of P/LP variants in genes with established management guidelines was compared and evaluated for consistency with personal and family histories. This study identified 1131 P/LP variants and compared variants in clinically actionable genes for breast and non-breast cancers. Overall, 91.5% of these variants were in genes with management guidelines. Nearly 12% were unrelated to personal or family history. Broader panels were used for 85.6% of our cohort (groups B and C). Although pathogenic variants in non-BRCA genes are reportedly rare, the study found that most were in clinically actionable genes. Expanded panel testing improved the identification of hereditary cancer risk. Small, breast-limited panels may miss clinically relevant findings in genes associated with other heritable cancers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Researcher 13 17%
Student > Ph. D. Student 9 12%
Student > Bachelor 7 9%
Student > Doctoral Student 4 5%
Other 14 18%
Unknown 17 22%
Readers by discipline Count As %
Medicine and Dentistry 32 41%
Biochemistry, Genetics and Molecular Biology 15 19%
Agricultural and Biological Sciences 5 6%
Immunology and Microbiology 3 4%
Nursing and Health Professions 2 3%
Other 3 4%
Unknown 18 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 395. 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 December 2017.
All research outputs
#63,750
of 23,003,906 outputs
Outputs from Annals of Surgical Oncology
#10
of 6,530 outputs
Outputs of similar age
#1,691
of 317,416 outputs
Outputs of similar age from Annals of Surgical Oncology
#3
of 99 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,530 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 99% 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 317,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.