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The Number of Lymphoma-associated Macrophages in Tumor Tissue Is an Independent Prognostic Factor in Patients With Follicular Lymphoma

Overview of attention for article published in Applied Immunohistochemistry & Molecular Morphology, January 2012
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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.

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%