Abstract
Background: Follicular lymphoma (FL) presents significant clinical heterogeneity, with some patients experiencing transformation into an aggressive disease, a key contributor to FL-related mortality. Based on gene expression profiles, this study aimed to provide insights into immunological differences associated with transformation. Methods: Gene expression analysis using the NanoString nCounter Tumor Signaling 360 Panel was performed on diagnostic lymphoma samples from 70 FL patients diagnosed in the rituximab era, either non-transforming FL (nt-FL, n = 34) or subsequently transforming FL (st-FL, n = 36), with paired high-grade transformed FL (tFL, n = 36) samples available. In silico immunophenotyping was performed to infer immune cell infiltration using the CIBERSORTx algorithm. Results: The gene expression analysis revealed 164 significantly differentially expressed genes, distinguishing st-FL from nt-FL and generally presenting an upregulation of B cell-related genes (CD40, IRF4, RELB), immunosuppressive molecules (IL10, SOCS3), and immune checkpoint molecules (CD276, TIM3). Analysis of immune cell proportions indicated significant differences in infiltrates of M1-like macrophages (p = 0.007) and neutrophils (p = 0.012) in nt-FL versus st-FL samples. Transformation-free survival (TFS) was associated with high numbers of both these cellular subsets (p = 0.006 and 0 = 0.002, respectively). This was even more evident when combined with inferior TFS in lymphomas with high infiltrates of both cell types (p < 0.001). After transformation, tFL samples showed a reduction in T follicular helper cells (p = 0.008) and an increase in immunosuppressive M2-like macrophages and neutrophils (p < 0.001 and p = 0.028, respectively). Conclusion: By elucidating the distinct molecular and immune landscapes of FL at the time of diagnosis and transformation, this study underscores the importance of immune microenvironment in FL transformation and patient outcome.