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Differential tumor infiltration by T-cells characterizes intrinsic molecular subtypes in breast cancer

Overview of attention for article published in Journal of Translational Medicine, July 2016
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 X users
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96 Mendeley
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Article details
Title
Differential tumor infiltration by T-cells characterizes intrinsic molecular subtypes in breast cancer
Published in
Journal of Translational Medicine, July 2016
DOI 10.1186/s12967-016-0983-9
Pubmed ID
Authors
Abstract

Molecular subtypes of breast cancer and presence of tumor-infiltrating immune cells have both been implicated as important predictive and prognostic factors for improved risk stratification and treatment individualization of breast cancer patients. Their association, however, has not been studied in detail. The aim of this study was to evaluate the expression of the T cell markers CD8, FoxP3, CD3 and ζ-chain in molecular subtypes of the invasive margin and tumor center of breast cancer and corresponding sentinel nodes and to deduct prognostic information from these findings. Tumor and sentinel node sections from 177 patients with primary, invasive, unilateral early-stage breast cancer were stained by immunohistochemistry and T-cell phenotypes quantified manually. Clinical data were collected from medical records. The degree of T-cell infiltration and expression of all markers differed significantly among the molecular subtypes, being highest in non-luminal, more aggressive tumors: more T-cell infiltration and higher expression of all markers were associated with hormone receptor negativity, higher proliferation and higher histological grades, but also with larger tumor size. Basal-like tumors, and most remarkably their tumor centers, hosted the highest number of FoxP3+ T-cells with an unfavorable ratio to cytotoxic CD8+ T-cells. T-cell infiltration was generally higher in the invasive margin than the tumor center. A scoring system based on densities of CD3 and CD8 could significantly separate molecular subtypes (p < 0.001). Thus, immunological patterns with functional implications within each subtype are associated with prognostic factors. These findings should be further validated in studies using larger patient populations and longer follow-up.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 16%
Student > Ph. D. Student 13 14%
Student > Master 8 8%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 15 16%
Unknown 35 36%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 18%
Medicine and Dentistry 17 18%
Agricultural and Biological Sciences 8 8%
Immunology and Microbiology 7 7%
Nursing and Health Professions 2 2%
Other 6 6%
Unknown 39 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 August 2024.
All research outputs
#7,080,061
of 23,153,849 outputs
Outputs from Journal of Translational Medicine
#1,110
of 4,071 outputs
Outputs of similar age
#119,510
of 366,610 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 87 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 71% 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 366,610 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 66% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.