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The footprint of the ageing stroma in older patients with breast cancer

Overview of attention for article published in Breast Cancer Research, July 2017
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2 tweeters

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Title
The footprint of the ageing stroma in older patients with breast cancer
Published in
Breast Cancer Research, July 2017
DOI 10.1186/s13058-017-0871-0
Pubmed ID
Authors

Brouwers, Barbara, Fumagalli, Debora, Brohee, Sylvain, Hatse, Sigrid, Govaere, Olivier, Floris, Giuseppe, Van den Eynde, Kathleen, Bareche, Yacine, Schöffski, Patrick, Smeets, Ann, Neven, Patrick, Lambrechts, Diether, Sotiriou, Christos, Wildiers, Hans, Barbara Brouwers, Debora Fumagalli, Sylvain Brohee, Sigrid Hatse, Olivier Govaere, Giuseppe Floris, Kathleen Van den Eynde, Yacine Bareche, Patrick Schöffski, Ann Smeets, Patrick Neven, Diether Lambrechts, Christos Sotiriou, Hans Wildiers

Abstract

Tumours are not only composed of malignant cells but also consist of a stromal micro-environment, which has been shown to influence cancer cell behaviour. Because the ageing process induces accumulation of senescent cells in the body, this micro-environment is thought to be different in cancers occurring in old patients compared with younger patients. More specifically, senescence-related fibroblastic features, such as the senescence-associated secretory profile (SASP) and the induction of autophagy, are suspected to stimulate tumour growth and progression. We compared gene expression profiles in stromal fields of breast carcinomas by performing laser capture microdissection of the cancer-associated stroma from eight old (aged ≥80 years at diagnosis) and nine young (aged <45 years at diagnosis) patients with triple-negative breast cancer. Gene expression data were obtained by microarray analysis (Affymetrix). Differential gene expression and gene set enrichment analysis (GSEA) were performed. Differential gene expression analysis showed changes reminiscent of increased growth, de-differentiation and migration in stromal samples of older versus younger patients. GSEA confirmed the presence of a SASP, as well as the presence of autophagy in the stroma of older patients. We provide the first evidence in humans that older age at diagnosis is associated with a different stromal micro-environment in breast cancers. The SASP and the presence of autophagy appear to be important age-induced stromal features.

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

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 24%
Researcher 10 24%
Student > Ph. D. Student 5 12%
Other 3 7%
Student > Bachelor 2 5%
Other 5 12%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 14 34%
Biochemistry, Genetics and Molecular Biology 12 29%
Agricultural and Biological Sciences 5 12%
Immunology and Microbiology 1 2%
Chemical Engineering 1 2%
Other 0 0%
Unknown 8 20%

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 12 July 2017.
All research outputs
#12,721,373
of 16,669,654 outputs
Outputs from Breast Cancer Research
#1,348
of 1,699 outputs
Outputs of similar age
#184,102
of 270,450 outputs
Outputs of similar age from Breast Cancer Research
#4
of 4 outputs
Altmetric has tracked 16,669,654 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,699 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 17th percentile – i.e., 17% 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 270,450 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.