Title |
The Number of Lymphoma-associated Macrophages in Tumor Tissue Is an Independent Prognostic Factor in Patients With Follicular Lymphoma
|
---|---|
Published in |
Applied Immunohistochemistry & Molecular Morphology, January 2012
|
DOI | 10.1097/pai.0b013e318223ef29 |
Pubmed ID | |
Authors |
Bosko Andjelic, Biljana Mihaljevic, Milena Todorovic, Jelena Bila, Ljubomir Jakovic, Maja Perunicic Jovanovic |
Abstract |
The clinical course of patients with follicular lymphoma is variable from a slowly progressive disease to a progressive disease with a survival time of approximately 1 year. Many prognostic models have been suggested to identify high-risk patients. Recent gene profiling analysis showed that the clinical behavior of follicular lymphoma is determined by the properties of the nonmalignant tumor microenvironment. We investigated the role of lymphoma-associated macrophages (LAMs) in tumor tissue in patients with newly diagnosed follicular lymphoma. The LAM was determined immunohistochemically in lymph node tissue sections by anti-CD68 PG-M1 and analyzed through high-power field (HPF) magnification intrafollicularly (IF) and extrafollicularly. In our study, the patients who had an IF LAM count equal to or more than 10/HPF had significantly shorter overall survival (P=0.018) and 3 years of progression-free survival (P=0.034) compared with patients with <10 LAM/HPF. Multivariate analysis indicated that IF LAM/HPF ≥ 10 and Eastern Cooperative Oncology Group performance status >1 are independent prognostic factors for a poor outcome. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 9% |
Unknown | 10 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 18% |
Student > Master | 2 | 18% |
Researcher | 2 | 18% |
Student > Ph. D. Student | 2 | 18% |
Student > Doctoral Student | 1 | 9% |
Other | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 64% |
Agricultural and Biological Sciences | 1 | 9% |
Computer Science | 1 | 9% |
Unknown | 2 | 18% |