Krsmanovic Pavle, Mocikova Heidi, Chramostova Kamila, Klanova Magdalena, Trnkova Marie, Pesta Michal, Laslo Peter, Pytlik Robert, Stopka Tomas, Trneny Marek, Pospisil Vit
Institute of Pathological Physiology, 1st Faculty of Medicine, Charles University, 128 53 Prague, Czech Republic.
Department of Haematology, University Hospital Kralovske Vinohrady and 3rd Faculty of Medicine, Charles University, 100 34 Prague, Czech Republic.
Cancers (Basel). 2022 May 6;14(9):2305. doi: 10.3390/cancers14092305.
Lymphoma with secondary central nervous system (CNS) involvement represents one of the most aggressive malignancies, with poor prognosis and high mortality. New diagnostic tools for its early detection, response evaluation, and CNS relapse prediction are needed. We analyzed circulating microRNAs in the cerebrospinal fluid (CSF) and plasma of 162 patients with aggressive B-cell non-Hodgkin's lymphomas (B-NHL) and compared their levels in CNS-involving lymphomas versus in systemic lymphomas, at diagnosis and during treatment and CNS relapse. We identified a set of five oncogenic microRNAs (miR-19a, miR-20a, miR-21, miR-92a, and miR-155) in CSF that detect, with high sensitivity, secondary CNS lymphoma involvement in aggressive B-NHL, including DLBCL, MCL, and Burkitt lymphoma. Their combination into an oncomiR index enables the separation of CNS lymphomas from systemic lymphomas or nonmalignant controls with high sensitivity and specificity, and high Receiver Operating Characteristics (DLBCL AUC = 0.96, MCL = 0.93, BL = 1.0). Longitudinal analysis showed that oncomiR levels reflect treatment efficacy and clinical outcomes, allowing their monitoring and prediction. In contrast to conventional methods, CSF oncomiRs enable detection of early and residual CNS involvement, as well as parenchymal involvement. These circulating oncomiRs increase 1-4 months before CNS relapse, allowing its early detection and improving the prediction of CNS relapse risk in DLBCL. Similar effects were detectable, to a lesser extent, in plasma.
伴有继发性中枢神经系统(CNS)受累的淋巴瘤是侵袭性最强的恶性肿瘤之一,预后差且死亡率高。因此需要新的诊断工具用于早期检测、疗效评估及CNS复发预测。我们分析了162例侵袭性B细胞非霍奇金淋巴瘤(B-NHL)患者脑脊液(CSF)和血浆中的循环微小RNA,并比较了其在CNS受累淋巴瘤与系统性淋巴瘤患者诊断时、治疗期间及CNS复发时的水平。我们在CSF中鉴定出一组五个致癌微小RNA(miR-19a、miR-20a、miR-21、miR-92a和miR-155),它们能高度灵敏地检测出侵袭性B-NHL(包括弥漫性大B细胞淋巴瘤[DLBCL]、套细胞淋巴瘤[MCL]和伯基特淋巴瘤)中的继发性CNS淋巴瘤受累情况。将它们组合成一个癌基因微小RNA指数,能够以高灵敏度和特异性将CNS淋巴瘤与系统性淋巴瘤或非恶性对照区分开来,且具有较高的受试者工作特征曲线(DLBCL曲线下面积[AUC]=0.96,MCL=0.93,伯基特淋巴瘤[BL]=1.0)。纵向分析表明,癌基因微小RNA水平反映治疗疗效和临床结局,可用于监测和预测。与传统方法不同,CSF中的癌基因微小RNA能够检测早期和残留的CNS受累情况以及实质受累情况。这些循环癌基因微小RNA在CNS复发前1 - 4个月升高,有助于早期检测并改善DLBCL中CNS复发风险的预测。在血浆中也能检测到类似但程度较轻的效应。