Unknown,Transcriptomics,Genomics,Proteomics

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Development and application of a new immunophenotypic algorithm for molecular subtype classification of Diffuse Large B-Cell Lymphoma (DLBCL): Report from an International DLBCL Rituximab-CHOP Consortium Program Study

ABSTRACT: We studied 498 de-novo adult DLBCL cases, which had been diagnosed between January 2002 and October 2009, as part of the International DLBCL Rituximab-CHOP Consortium Program Study We perform global gene expression profiling from formalin fixed paraffin embedded 498 DLBCL tissues RNA by SPIA mediated microarray detection and identified the distinct subgroups of the disease within DLBCL, known as germinal-center-B-cell-like (GCB), activated B-cell-like (ABC), and unclassified DLBCL (UC). RNA of 498 FFPET DLBCL patient samples were extracted, amplified using a novel RNA amplicfication method, Single Primer Isothermal Amplification (SPIA, NuGen Inc.), and hybridized to Affymetrix HG-U133 Plus 2.0 GeneChips. This dataset is the collaboration between The University of Texas at MD Anderson Cancer Center and Roche Molecular Systems, Inc.

ORGANISM(S): Homo sapiens

SUBMITTER: Yan Li

PROVIDER: E-GEOD-31312 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:This study performed an in-depth investigation of the immune-molecular profiles of an unique cohort of extranodal diffuse large B-cell lymphoma (DLBCL) of the bone, with single primary bone (PB-)DLBCL and multiple localizations (polyostotic-DLBCL). A similar DLBCL cohort with nodal localizations only and germinal center B-cell (GCB) phenotype (nodal-DLBCL-GCB) was used as comparator. With comprehensive genomic mutational and gene gene-expression profiling (GEP), in total 103 DLBCLS were analyzed. Both molecular techniques revealed a shared mutational genomic and gene-expression transcriptomic profile for PB-DLBCL (n=51) and polyostotic-DLBCL (n=18), justifying a collective analysis as bone-DLBCL. Differential incidences of EZH2, IRF8, and HIST1H1E, and MYC mutations/rearrangements (p<0.05) confirmed the distinct oncogenic evolution of bone-DLBCL and nodal-DLBCL-GCB (n=34). Bone-DLBCL primarily exhibited an intermediate/rich immune TME GEP signature (p≤<0.005), based on published gene sets. Further unsupervised clustering identified two distinct groups, establishing a notable ‘immune-rich’ cluster dominated by bone-DLBCL (754%, p=0.0062). This immune-rich cluster demonstrated superior survival (p=≤0.0263) compared to the ‘immune-low’ cluster, which consisted mostly of nodal-DLBCL-GCB cases (61%). Gene-set enrichment analysis illustrated variations in cell proliferation and immune systemreceptor pathways for the immune-rich cluster (p<0.001), indicating a crucial role for the tumor microenvironment (TME) in disease behavior and outcome. Further supported by deconvolution applications (CIBERSORTx and single-sample gene-set enrichment analysis), The immune-rich cluster highlighted highlighting an abundantmainly regulatory T cells in immune-rich and cell proliferation in immune-low. infiltrate of NK/T, Treg, TFH and follicular dendritic cells (p<0.001). Conclusively, PB-DLBCL and polyostotic-DLBCL shared similar TME features and immune-molecular profiles. This study delineates tThe distinct immune-rich TME profile of bone-DLBCL, which is associated with a superior survival. These findings suggest that bone-DLBCL patients with immune-rich GEP might benefit from less intensive polychemotherapies and this could further shape targeted immunomodulatory strategies.

Dataset Information

Development and application of a new immunophenotypic algorithm for molecular subtype classification of Diffuse Large B-Cell Lymphoma (DLBCL): Report from an International DLBCL Rituximab-CHOP Consortium Program Study

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