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Gene-expression molecular subtyping of triple-negative breast cancer tumours: importance of immune response

Overview of attention for article published in Breast Cancer Research, March 2015
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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3 X users
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1 Facebook page
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1 Wikipedia page

Citations

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256 Dimensions

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199 Mendeley
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Title
Gene-expression molecular subtyping of triple-negative breast cancer tumours: importance of immune response
Published in
Breast Cancer Research, March 2015
DOI 10.1186/s13058-015-0550-y
Pubmed ID
Authors

Pascal Jézéquel, Delphine Loussouarn, Catherine Guérin-Charbonnel, Loïc Campion, Antoine Vanier, Wilfried Gouraud, Hamza Lasla, Catherine Guette, Isabelle Valo, Véronique Verrièle, Mario Campone

Abstract

Triple-negative breast cancers need to be refined in order to identify therapeutic subgroups of patients. We conducted an unsupervised analysis of microarray gene-expression profiles of 107 triple-negative breast cancer patients and undertook robust functional annotation of the molecular entities found by means of numerous approaches including immunohistochemistry and gene-expression signatures. A triple-negative external cohort (n = 87) was used for validation. Fuzzy clustering separated triple-negative tumours into three clusters: C1 (22.4%), C2 (44.9%) and C3 (32.7%). C1 patients were older (mean = 64.6 years) than C2 (mean = 56.8 years; P = 0.03) and C3 patients (mean = 51.9 years; P = 0.0004). Histological grade and Nottingham prognostic index were higher in C2 and C3 than in C1 (P < 0.0001 for both comparisons). Significant event-free survival (P = 0.03) was found according to cluster membership: patients belonging to C3 had a better outcome than patients in C1 (P = 0.01) and C2 (P = 0.02). Event-free survival analysis results were confirmed when our cohort was pooled with the external cohort (n = 194; P = 0.01). Functional annotation showed that 22% of triple-negative patients were not basal-like (C1). C1 was enriched in luminal subtypes and positive androgen receptor (luminal androgen receptor). C2 could be considered as an almost pure basal-like cluster. C3, enriched in basal-like subtypes but to a lesser extent, included 26% of claudin-low subtypes. Dissection of immune response showed that high immune response and low M2-like macrophages were a hallmark of C3, and that these patients had a better event-free survival than C2 patients, characterized by low immune response and high M2-like macrophages: P = 0.02 for our cohort, and P = 0.03 for pooled cohorts. We identified three subtypes of triple-negative patients: luminal androgen receptor (22%), basal-like with low immune response and high M2-like macrophages (45%), and basal-enriched with high immune response and low M2-like macrophages (33%). We noted out that macrophages and other immune effectors offer a variety of therapeutic targets in breast cancer, and particularly in triple-negative basal-like tumours. Furthermore, we showed that CK5 antibody was better suited than CK5/6 antibody to subtype triple-negative patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
France 1 <1%
Germany 1 <1%
Spain 1 <1%
Korea, Republic of 1 <1%
Unknown 193 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 17%
Researcher 23 12%
Student > Master 19 10%
Student > Bachelor 19 10%
Student > Postgraduate 14 7%
Other 36 18%
Unknown 55 28%
Readers by discipline Count As %
Medicine and Dentistry 49 25%
Biochemistry, Genetics and Molecular Biology 41 21%
Agricultural and Biological Sciences 23 12%
Nursing and Health Professions 5 3%
Computer Science 5 3%
Other 17 9%
Unknown 59 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 May 2019.
All research outputs
#6,929,388
of 25,371,288 outputs
Outputs from Breast Cancer Research
#787
of 2,052 outputs
Outputs of similar age
#75,517
of 277,716 outputs
Outputs of similar age from Breast Cancer Research
#19
of 49 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 61% of its peers.
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 277,716 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 49 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 59% of its contemporaries.