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Prognosis of breast cancer molecular subtypes in routine clinical care: A large prospective cohort study

Overview of attention for article published in BMC Cancer, September 2016
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Title
Prognosis of breast cancer molecular subtypes in routine clinical care: A large prospective cohort study
Published in
BMC Cancer, September 2016
DOI 10.1186/s12885-016-2766-3
Pubmed ID
Authors

André Hennigs, Fabian Riedel, Adam Gondos, Peter Sinn, Peter Schirmacher, Frederik Marmé, Dirk Jäger, Hans-Ulrich Kauczor, Anne Stieber, Katja Lindel, Jürgen Debus, Michael Golatta, Florian Schütz, Christof Sohn, Jörg Heil, Andreas Schneeweiss

Abstract

In Germany, most breast cancer patients are treated in specialized breast cancer units (BCU), which are certified, and routinely monitored. Herein, we evaluate up-to-date oncological outcome of breast cancer (BC) molecular subtypes in routine clinical care of a specialized BCU. The study was a prospectively single-center cohort study of 4102 female cases with primary, unilateral, non-metastatic breast cancer treated between 01 January 2003 and 31 December 2012. The five routinely used molecular subtypes (Luminal A-like, Luminal B/HER2 negative-like, Luminal B/HER2 positive-like, HER2-type, Triple negative) were analyzed. The median follow-up time of the whole cohort was 55 months. We calculated estimates for local control rate (LCR), disease-free survival (DFS), distant disease-free survival (DDFS), overall survival (OS), and relative overall survival (ROS). Luminal A-like tumors were the most frequent (44.7 %) and showed the best outcome with LCR of 99.1 % (95 % CI 98.5; 99.7), OS of 95.1 % (95 % CI 93.7; 96.5), and ROS of 100.0 % (95 % CI 98.5; 101.5). Triple negative tumors (12.3 %) presented the poorest outcome with LCR of 89.6 % (95 % CI 85.8; 93.4), OS of 78.5 % (95 % CI 73.8; 83.3), and ROS of 80.1 % (95 % CI 73.8; 83.2). Patients with a favorable subtype can expect an OS above 95 % and an LCR of almost 100 % over 5 years. On the other hand the outcome of patients with HER2 and Triple negative subtypes remains poor, thus necessitating more intensified research and care.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 15%
Student > Bachelor 24 15%
Student > Ph. D. Student 23 14%
Student > Doctoral Student 13 8%
Researcher 12 7%
Other 31 19%
Unknown 37 22%
Readers by discipline Count As %
Medicine and Dentistry 57 35%
Biochemistry, Genetics and Molecular Biology 29 18%
Agricultural and Biological Sciences 13 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Nursing and Health Professions 6 4%
Other 10 6%
Unknown 43 26%

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 17 September 2016.
All research outputs
#7,254,208
of 8,392,157 outputs
Outputs from BMC Cancer
#2,824
of 3,521 outputs
Outputs of similar age
#210,426
of 254,024 outputs
Outputs of similar age from BMC Cancer
#112
of 163 outputs
Altmetric has tracked 8,392,157 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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