Logo image
A new biologic prognostic model based on immunohistochemistry predicts survival in patients with diffuse large B-cell lymphoma
Journal article   Peer reviewed

A new biologic prognostic model based on immunohistochemistry predicts survival in patients with diffuse large B-cell lymphoma

Anamarija M. Perry, Teresa M. Cardesa-Salzmann, Paul N. Meyer, Luis Colomo, Lynette M. Smith, Kai Fu, Timothy C. Greiner, Jan Delabie, Randy D. Gascoyne, Lisa Rimsza, …
Blood, Vol.120(11), pp.2290-2296
09/13/2012
DOI: 10.1182/blood-2012-05-430389
PMCID: PMC3447783
PMID: 22740447

View Online

Abstract

Biologic factors that predict the survival of patients with a diffuse large B-cell lymphoma, such as cell of origin and stromal signatures, have been discovered by gene expression profiling. We attempted to simulate these gene expression profiling findings and create a new biologic prognostic model based on immunohistochemistry. We studied 199 patients (125 in the training set, 74 in the validation set) with de novo diffuse large B-cell lymphoma treated with rituximab and CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone) or CHOP-like therapies, and immunohistochemical stains were performed on paraffin-embedded tissue microarrays. In the model, 1 point was awarded for each adverse prognostic factor: nongerminal center B cell–like subtype, SPARC (secreted protein, acidic, and rich in cysteine) < 5%, and microvascular density quartile 4. The model using these 3 biologic markers was highly predictive of overall survival and event-free survival in multivariate analysis after adjusting for the International Prognostic Index in both the training and validation sets. This new model delineates 2 groups of patients, 1 with a low biologic score (0-1) and good survival and the other with a high score (2-3) and poor survival. This new biologic prognostic model could be used with the International Prognostic Index to stratify patients for novel or risk-adapted therapies.
Clinical Trials and Observations Lymphoid Neoplasia

Details

Logo image