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The tumor area occupied by Tbet+ cells in deeply invading cervical cancer predicts clinical outcome

Overview of attention for article published in Journal of Translational Medicine, September 2015
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Title
The tumor area occupied by Tbet+ cells in deeply invading cervical cancer predicts clinical outcome
Published in
Journal of Translational Medicine, September 2015
DOI 10.1186/s12967-015-0664-0
Pubmed ID
Authors

Arko Gorter, Frans Prins, Merel van Diepen, Simone Punt, Sjoerd H. van der Burg

Abstract

Deep invasion of the normal surrounding tissue by primary cervical cancers is a prognostic parameter for postoperative radiotherapy and relatively worse survival. However, patients with tumor-specific immunity in the blood at the time of surgery displayed a much better disease free survival. Here we analyzed if this was due to a more tumor-rejecting immune population in the tumor. Tumor sections from a group of 58 patients with deep normal tissue-invading cervical tumors were stained for the presence of immune cells (CD45), IFNγ-producing cells (Tbet) and regulatory T cells (Foxp3) by immunohistochemistry. The slides were scanned and both the tumor area and the infiltration of the differently stained immune cells were objectively quantified using computer software. We found that an increased percentage of tumor occupied by CD45+ cells was strongly associated with an enhanced tumor-infiltration by Tbet+ cells and Foxp3+ cells. Furthermore, the area occupied by CD45+ immune cells, Tbet+ cells but not Foxp3+ cells within the tumor were, in addition to the lymph node status of patients, associated with a longer disease free survival and disease specific survival. Moreover, interaction analyses between these immune parameters and lymph node status indicated an independent prognostic effect of tumor infiltrating Tbet+ cells. This was confirmed in a multivariate Cox analysis. The area occupied by a preferentially type I oriented CD45+ cell infiltrate forms an independent prognostic factor for recurrence-free and disease-specific survival on top of the patient's lymph node status.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Ph. D. Student 4 16%
Student > Bachelor 3 12%
Lecturer 2 8%
Student > Master 2 8%
Other 2 8%
Unknown 6 24%
Readers by discipline Count As %
Immunology and Microbiology 6 24%
Medicine and Dentistry 6 24%
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 2 8%
Psychology 1 4%
Other 0 0%
Unknown 7 28%