Title |
CD57+ T-cells are a subpopulation of T-follicular helper cells in nodular lymphocyte predominant Hodgkin lymphoma
|
---|---|
Published in |
Experimental Hematology & Oncology, September 2015
|
DOI | 10.1186/s40164-015-0022-1 |
Pubmed ID | |
Authors |
Ahmad Sattarzadeh, Arjan Diepstra, Bea Rutgers, Anke van den Berg, Lydia Visser |
Abstract |
Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) is characterized by lymphocyte-predominant (LP) cells in a background of CD4+ CD57+ T-cells. These cells are normally present in the germinal center of lymphoid tissues. The cells rosetting LP cells are described to be PD-1 and BCL-6 positive, which are markers of T-follicular helper cells. This study was designed to address the question: are the CD57+ T cells in germinal centers of tonsil and NLPHL TFH cells? Immunohistochemistry was performed on tonsil and NLPHL. For tonsil, cells per germinal center and for NLPHL, the area around LP cells was counted. Cells rosetting LP cells were also determined. In addition, flowcytometry was performed on cell suspensions. Cells directly rosetting LP cells are positive for CD57 and/or for two markers of T-follicular helper (TFH) cells, PD-1 and BCL-6. We show that in both tonsil and NLPHL more than 90 % of CD57+ T-cells are also positive for PD-1, whereas roughly half of the PD-1+ T-cells are CD57+. CD57+ cells co-express BCL-6 in tonsil and in the rosetting cells of NLPHL. We conclude that CD57+ T-cells are TFH cells and form a subpopulation of TFH cells in tonsils and NLPHL. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
Unknown | 19 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 25% |
Student > Bachelor | 3 | 15% |
Student > Ph. D. Student | 3 | 15% |
Student > Master | 3 | 15% |
Student > Doctoral Student | 2 | 10% |
Other | 3 | 15% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 35% |
Immunology and Microbiology | 5 | 25% |
Agricultural and Biological Sciences | 3 | 15% |
Biochemistry, Genetics and Molecular Biology | 3 | 15% |
Computer Science | 1 | 5% |
Other | 0 | 0% |
Unknown | 1 | 5% |