Prognostic Significance of Certain Growth Factors and Their Receptors in Blood Serum of Patients With Diffuse Large B-Cell Lymphoma

Abstract

The heterogeneity of diffuse large B-cell lymphoma (DLBCL) is the reason for an unfavorable response to therapy in 40 % of patients. Thus, the search for prognostic markers is relevant. Цель. Изучить содержание в сыворотке крови больных ДВКЛ некоторых факторов роста и их рецепторов для выявления прогностической значимости в течении заболевания. The aim of the study is to examine the content of some growth factors and their receptors in the blood serum of patients with DLBCL and to identify prognostic significance during the disease progression. Materials and methods. The ELISA method was used to determine the level of growth factors VEGF-A, VEGF-C, EGF, TGFβ1, IGF-I, IGF-II and their soluble receptors sVEGFR3, sEGFR, sTGFβR2 in the blood serum of patients with DLBCL after 4 courses of polychemotherapy, R-CHOP regimen. Thirty-two men and thirty-one women were enrolled in the study, average age 55.6 years. The parameters of healthy donors were considered the norm. STATISTICA 10.0 was used for data processing. Results. Before treatment, VEGF-A, IGF-I, IGF-II and TGFβ1 levels in the blood serum of all patients exceeded the norm by 2.1–4.3 times; the content of soluble receptors sEGFR and sTGFβR2 was lower by 1.4 and 3 times, respectively; EGF/ sEGFR and TGFβ1/ sTGFβR2 increased by 1.8 and 6.1 times, respectively. After 4 cycles of R-CHOP VEGF-A and sEGFR levels normalized in patients with subsequent remission; IGF-I, IGF-II, EGF/sEGFR and TGFβ1/sTGFβR2 decreased by 1.6, 1.8, 1.6 and 2.7 times, respectively, compared with the parameters before treatment; sTGFβR2 increased by 2.4 times. Normalization of indicators was not observed in patients with an unfavorable outcome. Conclusion. Minimally invasive and effective method for determining the content of certain growth factors and their receptors, in particular TGFβ1, sTGFβR2, VEGF-A, EGF, and sEGFR, in patients with DLBCL can be effective for predicting the disease progression.