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Prognostic significance of proline, glutamic acid, leucine rich protein 1 (PELP1) in triple-negative breast cancer: a retrospective study on 129 cases

Overview of attention for article published in BMC Cancer, October 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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2 X users
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1 Wikipedia page

Citations

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18 Dimensions

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21 Mendeley
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Title
Prognostic significance of proline, glutamic acid, leucine rich protein 1 (PELP1) in triple-negative breast cancer: a retrospective study on 129 cases
Published in
BMC Cancer, October 2015
DOI 10.1186/s12885-015-1694-y
Pubmed ID
Authors

Yanzhi Zhang, Jiali Dai, Keely M. McNamara, Bing Bai, Mumu Shi, Monica S. M. Chan, Ming Liu, Hironobu Sasano, Xiuli Wang, Xiaolei Li, Lijuan Liu, Ying Ma, Shuwen Cao, Yanchun Xing, Baoshan Zhao, Yinli Song, Lin Wang

Abstract

Triple-negative breast cancer (TNBC) is associated with an aggressive clinical course due to the lack of therapeutic targets. Therefore, identifying reliable prognostic biomarkers and novel therapeutic targets for patients with TNBC is required. Proline, glutamic acid, leucine rich protein 1 (PELP1) is a novel steroidal receptor co-regulator, functioning as an oncogene and its expression is maintained in estrogen receptor (ER) negative breast cancers. PELP1 has been proposed as a prognostic biomarker in hormone-related cancers, including luminal-type breast cancers, but its significance in TNBC has not been studied. PELP1 immunoreactivity was evaluated using immunohistochemistry in 129 patients with TNBC. Results were correlated with clinicopathological variables including patient's age, tumor size, lymph node stage, tumor grade, clinical stage, histological type, Ki-67 LI, as well as clinical outcome of the patients, including disease-free survival (DFS) and overall survival (OS). PELP1 was localized predominantly in the nuclei of carcinoma cells in TNBC. With the exception of a positive correlation between PELP1 protein expression and lymph node stage (p = 0.027), no significant associations between PELP1 protein expression and other clinicopathological variables, including DFS and OS, were found. However, when PELP1 and Ki-67 LI were grouped together, we found that patients in the PELP1/Ki-67 double high group (n = 48) demonstrated significantly reduced DFS (p = 0.005, log rank test) and OS (p = 0.002, log rank test) than others (n = 81). Multivariable analysis supported PELP1/Ki-67 double high expression as an independent prognostic factor in patients with TNBC, with an adjusted hazard ratio of 2.020 for recurrence (95 % CL, 1.022-3.990; p = 0.043) and of 2.380 for death (95 % CL, 1.138-4.978; p = 0.021). We found that evaluating both PELP1 and Ki-67 expression in TNBC could enhance the prognostic sensitivity of the two biomarkers. Therefore, we propose that PELP1/Ki-67 double high expression in tumors is an independent prognostic factor for predicting a poor outcome for patients with TNBC.

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X Demographics

The data shown below were collected from the profiles of 2 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Bachelor 3 14%
Researcher 2 10%
Student > Ph. D. Student 1 5%
Lecturer 1 5%
Other 0 0%
Unknown 9 43%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Agricultural and Biological Sciences 3 14%
Biochemistry, Genetics and Molecular Biology 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Environmental Science 1 5%
Other 1 5%
Unknown 9 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2015.
All research outputs
#7,078,005
of 23,613,071 outputs
Outputs from BMC Cancer
#1,843
of 8,487 outputs
Outputs of similar age
#84,537
of 280,313 outputs
Outputs of similar age from BMC Cancer
#50
of 231 outputs
Altmetric has tracked 23,613,071 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,487 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 280,313 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 69% of its contemporaries.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.