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Evaluating cell-of-origin subtype methods for predicting diffuse large B-cell lymphoma survival: a meta-analysis of
Jay A Read1, Jean L Koff1, Loretta J Nastoupil2
1Emory University School of Medicine, Atlanta, GA.
Background:
Patients with DLBCL exhibit widely divergent outcomes despite harboring histologically identical tumors. Currently, GEP and IHC algorithms assign patients to 1 of 2 main subtypes: germinal center B cell-like (GCB), or activated B cell-like (ABC), the latter of which historically carries a less favorable prognosis. However, it remains controversial as to whether these prognostic groupings remain valid in the era of rituximab therapy.
Materials And Methods:
A systematic literature review identified 24 articles from which meta-analyses were conducted, comparing survival outcomes for patients assigned to either GCB or ABC/non-GCB subtype using GEP and/or Hans, Choi, or Muris IHC algorithms.
Results:
Patients designated as GCB DLBCL using GEP fared significantly better in terms of overall survival than those with ABC DLBCL (hazard ratio, 1.85; P < .0001). In contrast, the Hans and Choi algorithms failed to identify significant differences in overall survival (P = .07 and P = .76, respectively) between GCB and non-GCB groups.
Conclusions:
Our study illustrates a lack of evidence supporting the use of the Hans and Choi algorithms for stratifying patients into distinct prognostic groups. Rather, GEP remains the preferred method for predicting the course of a patient's disease and informing decisions regarding treatment options.
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