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

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.

SUBMITTER: Perry AM

PROVIDER: S-EPMC3447783 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature

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

Perry Anamarija M AM Cardesa-Salzmann Teresa M TM Meyer Paul N PN Colomo Luis L Smith Lynette M LM Fu Kai K Greiner Timothy C TC Delabie Jan J Gascoyne Randy D RD Rimsza Lisa L Jaffe Elaine S ES Ott German G Rosenwald Andreas A Braziel Rita M RM Tubbs Raymond R Cook James R JR Staudt Louis M LM Connors Joseph M JM Sehn Laurie H LH Vose Julie M JM López-Guillermo Armando A Campo Elias E Chan Wing C WC Weisenburger Dennis D DD

Blood 20120626 11

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, ...[more]

PMID: 22740447

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Project description:AimsYin Yang 1 (YY1) is a multifunctional transcription factor that plays an important role in tumour development and progression, while its clinical significance in diffuse large B-cell lymphoma (DLBCL) remains largely unexplored. This study aimed to investigate the expression and clinical implications of YY1 in DLBCL.MethodsYY1 expression in 198 cases of DLBCL was determined using immunohistochemistry. The correlation between YY1 expression and clinicopathological parameters as well as the overall survival (OS) and progression-free survival (PFS) of patients was analyzed.ResultsYY1 protein expression was observed in 121 out of 198 (61.1 %) DLBCL cases. YY1 expression was significantly more frequent in cases of the GCB subgroup than in the non-GCB subgroup (P = 0.005). YY1 was positively correlated with the expression of MUM1, BCL6, pAKT and MYC/BCL2 but was negatively associated with the expression of CXCR4. No significant relationships were identified between YY1 and clinical characteristics, including age, sex, stage, localization, and B symptoms. Univariate analysis showed that the OS (P = 0.003) and PFS (P = 0.005) of patients in the YY1-negative group were significantly worse than those in the YY1-positive group. Multivariate analysis indicated that negative YY1 was a risk factor for inferior OS (P < 0.001) and PFS (P = 0.017) independent of the international prognostic index (IPI) score, treatment and Ann Arbor stage. Furthermore, YY1 is more powerful for stratifying DLBCL patients into different risk groups when combined with MYC/BCL2 double-expression (DE) status.ConclusionsYY1 was frequently expressed in DLBCL, especially in those of GCB phenotype and with MYC/BCL2-DE. As an independent prognostic factor, YY1 expression could predict a favourable outcome in DLBCL. In addition, a complex regulatory mechanism might be involved in the interactions between YY1 and MYC, pAKT as well as CXCR4 in DLBCL, which warrants further investigation.

Dataset Information

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

Publications

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

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