Prognostic Implication of Semi-quantitative Immunohistochemical Assessment of CD20 Expression in Diffuse Large B-Cell Lymphoma
Journal of Pathology and Translational Medicine
;
: 96-103, 2016.
Article
in English
| WPRIM
| ID: wpr-56491
ABSTRACT
BACKGROUND:
Immunohistochemical demonstration of CD20 in diffuse large B-cell lymphoma (DLBCL) is prerequisite not only for the diagnosis but also for assigning patients to rituximab-containing chemotherapy. However, little is known about the impact of abundance of CD20 expression assessed by immunohistochemistry on the clinical outcome of DLBCL. We performed a semi-quantitative immunohistochemical analysis of CD20 expression in DLBCL to examine the prognostic implication of the level of CD20 expression.METHODS:
Pre-treatment diagnostic tissue samples from 48 DLBCL patients who were treated with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) regimen were represented in a tissue microarray and immunostained for CD20. The relative abundance of CD20 expression was semi-quantitatively scored using a web-based ImmunoMembrane plug-in. Receiver operating characteristic curve analysis was used to determine a prognostically relevant cut-off score in order to dichotomize the patients into CD20-high versus CD20-low groups.RESULTS:
The levels of CD20 expression were heterogeneous among the patients, with a wide and linear distribution of scores. Patients in CD20-low group showed significantly poor clinical outcome.CONCLUSIONS:
The levels of CD20 expression in DLBCL are heterogeneous among the patients with DLBCL. A subgroup of the patients with CD20 expression levels below the cut-off score showed poor clinical outcome.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Vincristine
/
Prednisone
/
Immunohistochemistry
/
B-Lymphocytes
/
Doxorubicin
/
ROC Curve
/
Lymphoma, B-Cell
/
Antigens, CD20
/
Cyclophosphamide
/
Tissue Array Analysis
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Journal of Pathology and Translational Medicine
Year:
2016
Type:
Article
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