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Power of PgR expression as a prognostic factor for ER-positive/HER2-negative breast cancer patients at intermediate risk classified by the Ki67 labeling index

Overview of attention for article published in BMC Cancer, May 2017
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Title
Power of PgR expression as a prognostic factor for ER-positive/HER2-negative breast cancer patients at intermediate risk classified by the Ki67 labeling index
Published in
BMC Cancer, May 2017
DOI 10.1186/s12885-017-3331-4
Pubmed ID
28532429
Authors

Sasagu Kurozumi, Hiroshi Matsumoto, Yuji Hayashi, Katsunori Tozuka, Kenichi Inoue, Jun Horiguchi, Izumi Takeyoshi, Tetsunari Oyama, Masafumi Kurosumi

Abstract

The Ki67 labeling index (LI) is regarded as a significant prognostic marker in ER-positive/HER2-negative breast cancer patients. The expression of PgR has recently been identified as another prognostic marker. In the present study, we investigated the prognostic utilities and most suitable cut-off values for Ki67 and PgR, and evaluated the relationship between Ki67 LI and PgR expression in ER-positive/HER2-negative breast cancer. In the present study, 177 consecutive Japanese women with ER-positive/HER2-negative invasive carcinoma of no special type who were treated between 2000 and 2001 were enrolled. Recurrence-free survival (RFS) and cancer-specific survival (CSS) were analyzed according to Ki67 LI and PgR expression, and significant cut-off values for selecting patients with a poor prognosis were evaluated. The cut-off values for Ki67 LI as a prognostic marker plotted against P values showed bimodal peaks at 10% and 30%. Among the cut-off points examined for the PgR status, 20% PgR positivity was the most significant for predicting survival differences (RFS: P = 0.0003; CSS: P < 0.0001). A multivariate analysis showed that PgR (≥20%) was an independent prognostic marker (RFS: P = 0.0092; CSS: P = 0.00014). Furthermore, in the intermediate risk group with Ki67 LI of 10-30%, the low PgR <20% group had a markedly poorer prognosis for RFS and CSS (RFS: P < 0.0001; CSS: P < 0.0001). The expression of PgR is a potent prognostic indicator for evaluating the long-term prognosis of ER-positive/HER2-negative breast cancer, and the most suitable cut-off value was found to be 20%. Furthermore, the PgR status is a powerful method for selecting patients with a poor prognosis among ER-positive/HER2-negative patients at intermediate risk, as assessed using Ki67 LI.

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Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Student > Ph. D. Student 5 17%
Student > Postgraduate 2 7%
Researcher 2 7%
Lecturer 1 3%
Other 3 10%
Unknown 11 38%
Readers by discipline Count As %
Medicine and Dentistry 8 28%
Biochemistry, Genetics and Molecular Biology 4 14%
Agricultural and Biological Sciences 3 10%
Sports and Recreations 1 3%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 12 41%

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 25 May 2017.
All research outputs
#17,894,903
of 22,974,684 outputs
Outputs from BMC Cancer
#5,003
of 8,347 outputs
Outputs of similar age
#224,186
of 313,704 outputs
Outputs of similar age from BMC Cancer
#74
of 142 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,347 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 313,704 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.

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