[Predictive Value of Peripheral Blood cfDNA Combined with IL-10 in Central Nervous System Infiltration of Diffuse Large B-Cell lymphoma].

Abstract

Objective: To investigate the predictive value of circulating free DNA (cfDNA) combined with interleukin 10 (IL-10) in predicting central nervous system infiltration (CNSI) in diffuse large B-cell lymphoma (DLBCL).

Methods: The clinical data of 63 patients with DLBCL in our hospital from May 2021 to April 2023 were retrospectively analyzed. The 63 patients were divided into CNSI group (15 cases) and non-CNSI group (48 cases) base on whether CNSI occurred. The age, sex, Ann Arbor stage, ECOG score, IPI risk, CNS-IPI risk, number of extranodal sites involved, bone marrow involvement, hypertrophic disease, B symptoms, source cells, glucose quantification, Pandy test, cerebrospinal fluid (CSF) chlorine, CSF nucleated cell count, CSF protein, peripheral blood cfDNA, and IL-10 status were compared between the two groups. The correlation between cfDNA, IL-10 in peripheral blood and CSF protein was analyzed by Pearson correlation analysis. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of peripheral blood cfDNA and IL-10 on secondary CNSI in DLBCL patients. The last follow-up was on November 30, 2023. Kaplan-Meier method was used to calculate the time of secondary CNSI in the non-CNSI group.

Results: The IPI risk, CNS-IPI risk, number of extranodal sites involved, and CSF protein in the CNSI group were significantly higher than those in the non-CNSI group (all P <0.05). The levels of cfDNA and IL-10 in peripheral blood of CNSI group were significantly higher than those of non-CNSI group (both P <0.01). cfDNA and IL-10 in peripheral blood were both positively correlated with CSF protein (r =0.402 4, 0.315 1). ROC curve analysis showed that peripheral blood cfDNA and IL-10 had certain predictive value for CNSI, and the area under the curve (AUC) was 0.829 and 0.742, respectively. The AUC of the combined detection was 0.910, with a sensitivity of 80.00% and a specificity of 93.70%. The diagnostic efficacy was significantly higher than that of the two prediction values alone. The median follow-up time was 20 (6-31) months. Non-CNSI patients were grouped based on peripheral blood cfDNA combined with IL-10 positive or negative pairs. The time of secondary CNSI in positive group was significantly shorter than that in negative group (P <0.05).

Conclusion: cfDNA and IL-10 in peripheral blood of DLBCL patients with CNSI are significantly increased, and the combined detection of cfDNA and IL-10 has good predictive value for CNSI.