↓ Skip to main content

Predicting early brain metastases based on clinicopathological factors and gene expression analysis in advanced HER2-positive breast cancer patients

Overview of attention for article published in Journal of Neuro-Oncology, January 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
61 Mendeley
Title
Predicting early brain metastases based on clinicopathological factors and gene expression analysis in advanced HER2-positive breast cancer patients
Published in
Journal of Neuro-Oncology, January 2015
DOI 10.1007/s11060-014-1704-y
Pubmed ID
Authors

Renata Duchnowska, Jacek Jassem, Chirayu Pankaj Goswami, Murat Dundar, Yesim Gökmen-Polar, Lang Li, Stephan Woditschka, Wojciech Biernat, Katarzyna Sosińska-Mielcarek, Bogumiła Czartoryska-Arłukowicz, Barbara Radecka, Zorica Tomasevic, Piotr Stępniak, Konrad Wojdan, George W. Sledge, Patricia S. Steeg, Sunil Badve

Abstract

The overexpression or amplification of the human epidermal growth factor receptor 2 gene (HER2/neu) is associated with high risk of brain metastasis (BM). The identification of patients at highest immediate risk of BM could optimize screening and facilitate interventional trials. We performed gene expression analysis using complementary deoxyribonucleic acid-mediated annealing, selection, extension and ligation and real-time quantitative reverse transcription PCR (qRT-PCR) in primary tumor samples from two independent cohorts of advanced HER2 positive breast cancer patients. Additionally, we analyzed predictive relevance of clinicopathological factors in this series. Study group included discovery Cohort A (84 patients) and validation Cohort B (75 patients). The only independent variables associated with the development of early BM in both cohorts were the visceral location of first distant relapse [Cohort A: hazard ratio (HR) 7.4, 95 % CI 2.4-22.3; p < 0.001; Cohort B: HR 6.1, 95 % CI 1.5-25.6; p = 0.01] and the lack of trastuzumab administration in the metastatic setting (Cohort A: HR 5.0, 95 % CI 1.4-10.0; p = 0.009; Cohort B: HR 10.0, 95 % CI 2.0-100.0; p = 0.008). A profile including 13 genes was associated with early (≤36 months) symptomatic BM in the discovery cohort. This was refined by qRT-PCR to a 3-gene classifier (RAD51, HDGF, TPR) highly predictive of early BM (HR 5.3, 95 % CI 1.6-16.7; p = 0.005; multivariate analysis). However, predictive value of the classifier was not confirmed in the independent validation Cohort B. The presence of visceral metastases and the lack of trastuzumab administration in the metastatic setting apparently increase the likelihood of early BM in advanced HER2-positive breast cancer.

X Demographics

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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Bachelor 7 11%
Other 6 10%
Student > Postgraduate 5 8%
Student > Master 5 8%
Other 12 20%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 20 33%
Biochemistry, Genetics and Molecular Biology 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Agricultural and Biological Sciences 3 5%
Neuroscience 3 5%
Other 11 18%
Unknown 16 26%
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 20 January 2015.
All research outputs
#15,314,171
of 22,776,824 outputs
Outputs from Journal of Neuro-Oncology
#1,942
of 2,965 outputs
Outputs of similar age
#208,688
of 352,325 outputs
Outputs of similar age from Journal of Neuro-Oncology
#22
of 52 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,965 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 28th percentile – i.e., 28% 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 352,325 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.