-
[show abstract]
[hide abstract]
ABSTRACT: Microarray gene expression profiling studies have demonstrated immune response gene signatures that appear predictive of outcome in follicular lymphoma (FL). However, measurement of these marker genes in routine practice remains difficult. We have therefore investigated the immune response in FL using real-time polymerase chain reaction (PCR) to measure expression levels of 35 candidate Indicator genes, selected from microarray studies, to polyA cDNAs prepared from 60 archived human frozen lymph nodes, in parallel with immunohistochemical analysis for CD3, CD4, CD7, CD8, CD10, CD20, CD21, and CD68. High levels of CCR1, a marker of monocyte activation, were associated with a shorter survival interval, and high levels of CD3 with better survival, while immunohistochemistry demonstrated association of high numbers of CD68(+) macrophages with a shorter survival interval and of high numbers of CD7(+) T cells with a longer survival interval. The results confirm the role of the host immune response in outcome in FL and identify CCR1 as a prognostic indicator and marker of an immune switch between macrophages and a T cell-dominant response. They demonstrate the utility of polyA DNA and real-time PCR for measurement of gene signatures and the applicability of using this type of "molecular block" in clinical practice.
Blood 06/2008; 111(9):4764-70. · 9.90 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Recent microarray gene expression profiling studies have identified gene signatures predictive of outcome, so-called "indicator" genes, for diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). However, measurement of these genes in routine practice remains difficult. We applied real-time polymerase chain reaction (PCR) to polyA cDNAs prepared from 106 archived human frozen lymph nodes (63 of FL, 25 of DLBCL, 10 reactive lymph nodes, and cases with paired samples of FL [4] and subsequent DLBCL [4]). Reverse transcription and polyA reverse transcriptase (RT)-PCR was performed, and resultant cDNA was probed by real-time PCR for 36 candidate indicator genes, selected from microarray studies. Nine genes showed statistically significant different expression between FL and DLBCL, including cyclin B, COL3A1, NPM3, H731, PRKCB1, OVGL, ZFPC150, HLA-DQ-a, and XPB. Of these, cyclin B, NPM3, and COL3A1 were higher in DLBCL. Six genes showed statistically significant higher expression in the neoplastic nodes compared with reactive nodes, namely PRKCB1, BCL-6, EAR2, ZFX, cyclin B, YY1. High levels of YY.1 were associated with a shorter survival interval in both FL and DLBCL. The method is simple, sensitive, and robust, facilitating routine use and may be used as a platform for clinical measurement of prognostic gene signatures.
Blood 06/2007; 109(9):3922-8. · 9.90 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Transformation of the indolent follicular lymphoma (FL) to the aggressive diffuse large B-cell lymphoma (DLBCL) results in resistance to therapy with shortened survival. It has been demonstrated that the 12q12-14 region was mainly amplified in DLBCL cases but not in their FL counterparts. Therefore, we examined the DNA copy number and protein expression profiles for CDK2, CDK4 and GADD153, three genes that map to 12q12-14, in a set of 44 paired FL/DLBCL samples from 22 patients. The concordant amplification of these genes occurred in seven of 22 (32%) of FL cases, compared with 15 of 22 (68%) of DLBCL cases. At the protein level, 15 of 22 of the DLBCL samples (68%) showed strong staining for the CDK2 protein, compared with five of 21 of FL samples (24%). The majority of the DLBCL samples (16/22, 72%) expressed the CDK4 protein, whereas the majority of the FL samples (12/21, 57%) showed no expression of this protein. Except for one DLBCL case, no expression of the GADD153 protein could be detected. The deregulation of the CDK2 and CDK4 genes at the genetic and protein levels suggest a functional role for these genes in the transformation process and could potentially provide targets for prognostic tests or therapeutic interventions.
British Journal of Haematology 07/2006; 133(6):612-21. · 4.94 Impact Factor
