Microarray gene expression analysis of fixed archival tissue permits molecular classification and identification of potential therapeutic targets in diffuse large B-cell lymphoma.

Refractory/relapsed diffuse large B-cell lymphoma (DLBCL) has a poor prognosis. Novel drugs targeting the constitutively activated NF-κB pathway characteristic of ABC-DLBCL are promising, but evaluation depends on accurate activated B cell-like (ABC)/germinal center B cell-like (GCB) molecular classification. This is traditionally performed on gene microarray expression profiles of fresh biopsies, which are not routinely collected, or by immunohistochemistry on formalin-fixed, paraffin-embedded (FFPE) tissue, which lacks reproducibility and classification accuracy. We explored the possibility of using routine archival FFPE tissue for gene microarray applications. We examined Affymetrix HG U133 Plus 2.0 gene expression profiles from paired archival FFPE and fresh-frozen tissues of 40 ABC/GCB-classified DLBCL cases to compare classification accuracy and test the potential for this approach to aid the discovery of therapeutic targets and disease classifiers in DLBCL. Unsupervised hierarchical clustering of unselected present probe sets distinguished ABC/GCB in FFPE with remarkable accuracy, and a Bayesian classifier correctly assigned 32 of 36 cases with >90% probability. Enrichment for NF-κB genes was appropriately seen in ABC-DLBCL FFPE tissues. The top discriminatory genes expressed in FFPE separated cases with high statistical significance and contained novel biology with potential therapeutic insights, warranting further investigation. These results support a growing understanding that archival FFPE tissues can be used in microarray experiments aimed at molecular classification, prognostic biomarker discovery, and molecular exploration of rare diseases.

Pathogenesis of diffuse large B cell lymphoma.

Substantial additional insight has been obtained in the past decade regarding the pathogenesis of diffuse large B cell lymphoma (DLBCL). Distinct subtypes of DLBCL have been defined by gene expression profiling (GEP) and they differ not only in GE profiles but also in the pattern of genetic abnormalities. The ability to correlate corresponding genetic and GEP data markedly facilitates the identification of target genes in regions with copy number abnormalities. Oncogenic pathways are often differentially activated in these different subtypes of DLBCL, suggesting that therapy should be targeted according to these differences. The tumor microenvironment plays a significant role in determining outcome and may be a novel target for therapy. The role of microRNA in lymphomagenesis is increasingly being recognized and mutation of key genes has been demonstrated to drive the activation of the NF-kappaB pathway and B cell receptor signaling. The pace of discovery will be even more rapid in the near future with the convergence of data from multiple complementary genome-wide studies and technological innovations including the rapid advance in the technology of high-throughput sequencing.