Open AccessMUM1 Expression versus Hans Algorithm to Predict Prognosis in Indonesian Diffuse Large B-Cell Lymphoma Patients Receiving R-CHOP
Author(s) -
Cosphiadi Irawan,
Martha Iskandar,
Agnes Stephanie Harahap,
Cleopas Martin Rumende,
Maria Francisca Ham
Publication year - 2022
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s345745
Subject(s) - bcl6 , diffuse large b cell lymphoma , algorithm , medicine , chop , lymphoma , oncology , receiver operating characteristic , rituximab , retrospective cohort study , log rank test , germinal center , survival analysis , gastroenterology , b cell , immunology , computer science , antibody
Treatment response in diffuse large B-cell lymphoma (DLBCL) is heterogenous. The Hans algorithm (using 30% cut-offs for CD10, BCL6, and MUM1 protein expression) has been the most favored method to categorize DLBCL into germinal center B-cell (GCB) and non-GCB subtypes in order to predict prognosis. However, the algorithm's ability to prognosticate is not always consistent.