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Soluble E-Cadherin as a New Prognostic Biomarker Able to Predict Survival in Newly Diagnosed Diffuse Large B-Cell
Paola Carolina Rabesquini Marcelino da Silva1, Igor Cerejo Tavares da Silva de Almeida1, Joaquim Gasparini Dos Santos2
1Laboratory of Medical Investigation in Pathogenesis and Directed Therapy in Immuno-Onco-Hematology (LIM-31), Faculty of Medicine, University of Sao Paulo, Sao Paulo 05430-000, Brazil.
Abstract:
Background: Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma, constituting an important public health problem. Although curable, it presents a widely variable prognosis. The main tool used for prognostic stratification in DLBCL is the International Prognostic Index (IPI), which does not consider crucial biological variables for understanding its prognostic heterogeneity. Cell adhesion molecules (CAMs) play a central role in cancer biology and can be evaluated in affected tissues or in plasma, in soluble forms (sCAMs). CAMs promote proliferation, survival, and dissemination of malignant cells. Although extensively studied in solid tumors, their role remains unclear in hematological malignancies, particularly in DLBCL. Methods: This is a prospective and longitudinal study involving 87 newly diagnosed DLBCL (ND-DLBCL) patients aiming to quantify plasma levels of sCAMs (sICAM-1, sVCAM-1, sP-selectin, and sE-cadherin) at diagnosis and assessing its potential prognostic impact, as well as establishing clinical-biological associations. Results: Plasma quantification of sICAM-1, sVCAM-1, and sP-selectin did not present prognostic impact in DLBCL. However, continuous increases in sE-cadherin levels, as well as sE-cadherin ≥ 126.55 ng/mL were associated with lower response rates to R-CHOP regimen, higher frequency of recurrence following first-line therapy, and shortened survival. Additionally, sE-cadherin concentration ≥ 126.55 ng/mL was an independent predictor related to decreased overall survival. Conclusion: sE-cadherin measured at diagnosis has emerged as a new prognostic biomarker able to predict response, relapse and survival in ND-DLBCL.
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