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Diagnostic value of PD-1 mRNA expression combined with breast ultrasound in breast cancer patients

Overview of attention for article published in Therapeutics and Clinical Risk Management, August 2018
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Title
Diagnostic value of PD-1 mRNA expression combined with breast ultrasound in breast cancer patients
Published in
Therapeutics and Clinical Risk Management, August 2018
DOI 10.2147/tcrm.s168531
Pubmed ID
Authors

Jianhua Fang, Yi Shao, Jiezhi Su, Ying Wan, Lingyun Bao, Wei Wang, Fanlei Kong

Abstract

This study explored the value of measuring programmed death 1 (PD-1) in peripheral blood, combined with breast ultrasound using the Breast Imaging Reporting and Data System (BI-RADS) classification, for differentiation between benign and malignant breast tumors. We enrolled 113 patients with breast cancer and 66 patients with benign breast tumors who were admitted to Hangzhou First People's Hospital from September 2014 to August 2017. The mRNA level of PD-1 was detected by quantitative real-time polymerase chain reaction. The mRNA levels of PD-1 were significantly higher in the peripheral blood of patients with breast cancer than those in patients with benign breast tumors. The diagnostic sensitivity of PD-1 mRNA expression was 0.805, the specificity was 0.788, and the area under the curve (AUC) was 0.848 (P < 0.001); the sensitivity of breast ultrasound-based BI-RADS classification was 0.752, the specificity was 0.909, and the AUC was 0.906 (P < 0.001); and the combined sensitivity, specificity, and AUC of the two assays were 0.920, 0.879, and 0.938, respectively (P < 0.001). Progesterone receptor-positive breast cancer patients exhibited high levels of PD-1 expression (P < 0.001). This study suggests that the measurement of PD-1 combined with breast ultrasound-based BI-RADS classification represents a significant improvement for breast cancer diagnosis compared with diagnoses based on either method alone.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 15%
Librarian 1 8%
Student > Bachelor 1 8%
Lecturer 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 6 46%
Readers by discipline Count As %
Medicine and Dentistry 2 15%
Computer Science 1 8%
Psychology 1 8%
Immunology and Microbiology 1 8%
Social Sciences 1 8%
Other 1 8%
Unknown 6 46%
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 15 September 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Therapeutics and Clinical Risk Management
#1,204
of 1,323 outputs
Outputs of similar age
#299,007
of 341,886 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#29
of 35 outputs
Altmetric has tracked 25,385,509 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.
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