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Proteomic Profiling of Limited-Stage Follicular Lymphoma Reveals Differentially Expressed Proteins Linked to Disease
Jonas Klejs Hemmingsen1, Marie Hairing Enemark1,2, Emma Frasez Sørensen1,2
1Department of Hematology, Aarhus University Hospital, 8200 Aarhus N, Denmark.
Abstract:
Follicular lymphoma (FL) is the most common indolent lymphoma. Despite a generally favorable prognosis and long-term survival for many patients, FL remains incurable, with disease progression occurring in approximately half of limited-stage FL cases. In this study, we employed high-throughput mass spectrometry-based proteomics to explore the differential protein expression in diagnostic lymphoma biopsies from 26 limited-stage FL patients. Of these, 9 patients experienced subsequent disease progression (sp-FL), while 17 did not (np-FL). A total of 1940 proteins were identified, with 78 showing significant differential expression between progressing and non-progressing cases. Unsupervised clustering analyses were able to separate the two patient groups based on these differential protein profiles. Notably, proteins involved in metabolism, immune regulation, and apoptosis were downregulated in sp-FL samples. Among the identified proteins, caspase 4 and 8 (CASP4 and CASP8) were further evaluated. The low expression of CASP4 in the diagnostic lymphoma tissue correlated with shorter progression-free survival (PFS) (p < 0.001), primarily with this difference apparent in the expression profiles in the intrafollicular areas (p = 0.015). Similarly, low CASP8 expression was associated with inferior PFS (p = 0.031). Interestingly, addressing the expression pattern for advanced-stage FL patients, the low protein expression of both CASP4 and CASP8 was also found to be associated with progressing cases, suggesting their potential role in disease pathogenesis independent of the disease stage. With further research, the expression pattern of CASP4 and CASP8 may enable the early prediction of disease progression in FL patients, which may ultimately improve patient stratification and allow for more individualized treatment strategies.
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