An integrative microenvironment approach for follicular lymphoma: roles of inflammatory cell subsets and immune-response polymorphisms on disease clinical course

Oncotarget. 2020 Aug 18;11(33):3153-3173. doi: 10.18632/oncotarget.27698.

Abstract

The study of the tumor microenvironment (TME) in follicular lymphoma (FL) has produced conflicting results due to assessment of limited TME subpopulations, and because of heterogeneous treatments among different cohorts. Also, important genetic determinants of immune response, such as single-nucleotide polymorphisms (SNPs), remain underexplored in this disease. We performed a detailed study of the TME in 169 FL biopsies using immunohistochemistry, encompassing lymphocytes, macrophages, and cytokines. We also genotyped 16 SNPs within key immune-response genes (IL12A, IL2, IL10, TGFB1, TGFBR1, TGFBR2, IL17A, and IL17F) in 159 patients. We tested associations between SNPs, clinicopathological features and TME composition, and proposed survival models in R-CHOP/R-CVP-treated patients. Presence of the IL12A rs568408 "A" allele associated with the follicular pattern of FOXP3+ cells. The IL12A AA haplotype included rs583911 and rs568408 and was an independent predictor of worse survival, together with the follicular patterns of T-cells (FOXP3+ and CD8+) and high IL-17F tumor levels. The patterns of CD3+, CD4+ and CD8+ cells, displayed as a principal component, also associated with survival. Hierarchical clustering of the TME proteins demonstrated a cluster that was associated with worse prognosis (tumors enriched in IL-17A, IL-17F, CD8, PD1, and Ki-67). The survival of FL patients who were treated in the rituximab era shows a strong dependence on TME signals, especially the T-cell infiltration patterns and IL-17F tumor levels. The presence of the AA haplotype of IL12A in the genome of FL patients is an additional prognostic factor that may modulate the composition of T-reg cells in this disease.

Keywords: follicular lymphoma; immunohistochemistry; prognosis; single nucleotide polymorphisms; tumor microenvironment.