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Optimal Ki67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-up

Overview of attention for article published in Breast Cancer Research and Treatment, May 2016
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Title
Optimal Ki67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-up
Published in
Breast Cancer Research and Treatment, May 2016
DOI 10.1007/s10549-016-3817-9
Pubmed ID
Authors

Sara Bustreo, Simona Osella-Abate, Paola Cassoni, Michela Donadio, Mario Airoldi, Fulvia Pedani, Mauro Papotti, Anna Sapino, Isabella Castellano

Abstract

Although Ki67 index suffers from poor reproducibility, it is one of the most important prognostic markers used by oncologists to select the treatment of estrogen receptor (ER) positive breast cancer patients. In this study, we aim to establish the optimal Ki67 cut-offs for stratifying patient prognosis and to create a comprehensive prognostic index for clinical applications. A mono-institutional cohort of 1.577 human epidermal growth factor receptor 2 negative/ER+ breast cancer patients having complete clinical, histological, and follow-up data was collected. The 14 and 20 % Ki67 cut-offs were correlated to disease-free interval (DFI) and disease-specific survival (DSS). To create a comprehensive prognostic index, we used independent variables selected by uni/multivariate analyses. In terms of DFI and DSS, patients bearing tumors with Ki67 < 14 % proliferation index did not differ from those with Ki67 values between 14 and 20 %. Patients with tumor with Ki67 > 20 % showed the poorest prognosis. Moreover, to tumor size, the number of metastatic lymph nodes and Ki67 > 20 % was given a score value, varying depending on definite cut-offs and used to create a prognostic index, which was applied to the population. Patients with a prognostic index ≥3 were characterized by significant risk of relapse [DFI: Hazard Ratio (HR) = 4.74, p < 0.001] and death (DSS: HR = 5.03, p < 0.001). We confirm that the 20 % Ki67 cut-off is the best to stratify high-risk patients in luminal breast cancers, and we suggest to integrate it with other prognostic factors, to better stratify patients at risk of adverse outcome.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 16%
Student > Ph. D. Student 19 13%
Student > Postgraduate 14 10%
Student > Doctoral Student 13 9%
Researcher 12 8%
Other 28 20%
Unknown 34 24%
Readers by discipline Count As %
Medicine and Dentistry 63 44%
Biochemistry, Genetics and Molecular Biology 14 10%
Agricultural and Biological Sciences 11 8%
Nursing and Health Professions 5 3%
Immunology and Microbiology 2 1%
Other 4 3%
Unknown 44 31%
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 09 May 2016.
All research outputs
#18,456,836
of 22,869,263 outputs
Outputs from Breast Cancer Research and Treatment
#3,719
of 4,659 outputs
Outputs of similar age
#218,905
of 298,979 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#54
of 96 outputs
Altmetric has tracked 22,869,263 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 4,659 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.
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