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Response and survival of breast cancer intrinsic subtypes following multi-agent neoadjuvant chemotherapy

Overview of attention for article published in BMC Medicine, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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1 news outlet
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12 X users

Citations

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117 Dimensions

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193 Mendeley
Title
Response and survival of breast cancer intrinsic subtypes following multi-agent neoadjuvant chemotherapy
Published in
BMC Medicine, December 2015
DOI 10.1186/s12916-015-0540-z
Pubmed ID
Authors

Aleix Prat, Cheng Fan, Aranzazu Fernández, Katherine A. Hoadley, Rossella Martinello, Maria Vidal, Margarita Viladot, Estela Pineda, Ana Arance, Montserrat Muñoz, Laia Paré, Maggie C. U. Cheang, Barbara Adamo, Charles M. Perou

Abstract

Predicting treatment benefit and/or outcome before any therapeutic intervention has taken place would be clinically very useful. Herein, we evaluate the ability of the intrinsic subtypes and the risk of relapse score at diagnosis to predict survival and response following neoadjuvant chemotherapy. In addition, we evaluated the ability of the Claudin-low and 7-TNBCtype classifications to predict response within triple-negative breast cancer (TNBC). Gene expression and clinical-pathological data were evaluated in a combined dataset of 957 breast cancer patients, including 350 with TNBC, treated with sequential anthracycline and anti-microtubule-based neoadjuvant regimens. Intrinsic subtype, risk of relapse score based on subtype and proliferation (ROR-P), the Claudin-low subtype and the 7-TNBCtype subtype classification were evaluated. Logistic regression models for pathological complete response (pCR) and Cox models for distant relapse-free survival (DRFS) were used. Basal-like, Luminal A, Luminal B, and HER2-enriched subtypes represented 32.7 %, 30.6 %, 18.2 %, and 10.3 % of cases, respectively. Intrinsic subtype was independently associated with pCR in all patients, in hormone receptor-positive/HER2-negative disease, in HER2-positive disease, and in TNBC. The pCR rate of Basal-like disease was >35 % across all clinical cohorts. Neither the Claudin-low nor the 7-TNBCtype subtype classifications predicted pCR within TNBCs after accounting for intrinsic subtype. Finally, intrinsic subtype and ROR-P provided independent prognostic information beyond clinicopathological variables and type of pathological response. A 5-year DRFS of 97.5 % (92.8-100.0 %) was observed in these neoadjuvant-treated and clinically node-negative patients predicted to be low risk by ROR-P (i.e. 57.4 % of Luminal A tumors with clinically node-negative disease). Intrinsic subtyping at diagnosis provides prognostic and predictive information for patients receiving neoadjuvant chemotherapy. Although we could not exclude a survival benefit of neoadjuvant chemotherapy in patients with early breast cancer with clinically node-negative and ROR-low disease at diagnosis, the absolute benefit of cytotoxic therapy in this group might be rather small (if any).

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United States 1 <1%
Unknown 190 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 16%
Student > Ph. D. Student 26 13%
Student > Master 20 10%
Student > Doctoral Student 16 8%
Other 12 6%
Other 30 16%
Unknown 59 31%
Readers by discipline Count As %
Medicine and Dentistry 56 29%
Biochemistry, Genetics and Molecular Biology 29 15%
Agricultural and Biological Sciences 15 8%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Computer Science 5 3%
Other 17 9%
Unknown 64 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 08 June 2022.
All research outputs
#1,923,342
of 22,835,198 outputs
Outputs from BMC Medicine
#1,292
of 3,430 outputs
Outputs of similar age
#35,001
of 388,246 outputs
Outputs of similar age from BMC Medicine
#16
of 43 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one has gotten more attention than average, scoring higher than 62% 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 388,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 43 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 62% of its contemporaries.