Title |
The tumor area occupied by Tbet+ cells in deeply invading cervical cancer predicts clinical outcome
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Published in |
Journal of Translational Medicine, September 2015
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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. |
Mendeley readers
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% |