CD8+ cytotoxic T cell and FOXP3+ regulatory T cell infiltration in relation to breast cancer survival and molecular subtypes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-11

AUTHORS

Fangfang Liu, Ronggang Lang, Jing Zhao, Xinmin Zhang, Gordon A. Pringle, Yu Fan, Dong Yin, Feng Gu, Zhi Yao, Li Fu

ABSTRACT

The prognostic significance of tumor-associated FOXP3(+) regulatory T cells (Tregs) and CD8(+) cytotoxic T lymphocytes (CTLs) in invasive breast carcinomas is studied. Tregs and CTLs were assessed by immunohistochemistry in 1270 cases of invasive breast carcinoma for their associations with patient survival, histopathologic features, and molecular subtypes. Infiltrates of Tregs and CTLs were observed within tumor bed and in the tissue surrounding tumor. Within tumor bed, increased infiltration of Tregs and CTLs was significantly more common in those with unfavorable histologic features, including high histologic grade and negative ER and PR status. In addition, high density Treg infiltration was also associated with tumor HER2 overexpression, decreased overall survival (OS) and progression-free survival (PFS). In tissue surrounding tumor, in contrast, high CTL/Treg ratio was found to be significantly associated with improved OS and PFS. These prognostic associations were confirmed by multivariate analysis. Furthermore, the density of Treg infiltrates within tumors was inversely correlated with the prognosis of the molecular subtypes of tumors. The ratio of CTL/Treg infiltrates in the surrounding tissue was also significantly higher in luminal than non-luminal subtypes of carcinoma. The prognostic significances of Tregs and CTLs in breast carcinoma depend on their relative density and location. The density of intratumoral Treg infiltrates and the peritumoral CTL/Treg ratio are independent prognostic factors and correlated with the prognosis of the molecular subtypes of breast carcinoma, which may serve as potential target for stratifying immunotherapy to battle against the aggressive subtypes of breast carcinoma. More... »

PAGES

645-655

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10549-011-1647-3

DOI

http://dx.doi.org/10.1007/s10549-011-1647-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039534237

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21717105


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10549-011-1647-3'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10549-011-1647-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10549-011-1647-3'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10549-011-1647-3'


 

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301 schema:name Department of Breast Cancer Pathology and Research Laboratory, Key Laboratory of Breast Cancer Prevention and Therapy (Ministry of Education), Tianjin Medical University Cancer Institute & Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, 300060, Tianjin, China
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303 https://www.grid.ac/institutes/grid.412374.7 schema:alternateName Temple University Hospital
304 schema:name Department of Pathology and Laboratory Medicine, Temple University Hospital, Philadelphia, USA
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