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Nuclear nano-morphology markers of histologically normal cells detect the “field effect” of breast cancer

Overview of attention for article published in Breast Cancer Research and Treatment, June 2012
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Title
Nuclear nano-morphology markers of histologically normal cells detect the “field effect” of breast cancer
Published in
Breast Cancer Research and Treatment, June 2012
DOI 10.1007/s10549-012-2125-2
Pubmed ID
Authors

Rajan K. Bista, Pin Wang, Rohit Bhargava, Shikhar Uttam, Douglas J. Hartman, Randall E. Brand, Yang Liu

Abstract

Accurate detection of breast malignancy from histologically normal cells ("field effect") has significant clinical implications in a broad base of breast cancer management, such as high-risk lesion management, personalized risk assessment, breast tumor recurrence, and tumor margin management. More accurate and clinically applicable tools to detect markers characteristic of breast cancer "field effect" that are able to guide the clinical management are urgently needed. We have recently developed a novel optical microscope, spatial-domain low-coherence quantitative phase microscopy, which extracts the nanoscale structural characteristics of cell nuclei (i.e., nuclear nano-morphology markers), using standard histology slides. In this proof-of-concept study, we present the use of these highly sensitive nuclear nano-morphology markers to identify breast malignancy from histologically normal cells. We investigated the nano-morphology markers from 154 patients with a broad spectrum of breast pathology entities, including normal breast tissue, non-proliferative benign lesions, proliferative lesions (without and with atypia), "malignant-adjacent" normal tissue, and invasive carcinoma. Our results show that the nuclear nano-morphology markers of "malignant-adjacent" normal tissue can detect the presence of invasive breast carcinoma with high accuracy and do not reflect normal aging. Further, we found that a progressive change in nuclear nano-morphology markers that parallel breast cancer risk, suggesting its potential use for risk stratification. These novel nano-morphology markers that detect breast cancerous changes from nanoscale structural characteristics of histologically normal cells could potentially benefit the diagnosis, risk assessment, prognosis, prevention, and treatment of breast cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Uruguay 1 4%
Luxembourg 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 26%
Student > Bachelor 5 19%
Researcher 4 15%
Professor > Associate Professor 3 11%
Student > Master 3 11%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 22%
Medicine and Dentistry 5 19%
Biochemistry, Genetics and Molecular Biology 3 11%
Engineering 3 11%
Physics and Astronomy 2 7%
Other 6 22%
Unknown 2 7%
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 June 2012.
All research outputs
#18,309,495
of 22,669,724 outputs
Outputs from Breast Cancer Research and Treatment
#3,680
of 4,615 outputs
Outputs of similar age
#113,753
of 147,840 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#44
of 48 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,615 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 11th percentile – i.e., 11% 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 147,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.