Papaleo Natalia, Molina-Alvarez Andrea, Onieva Ricard, Fuertes Diana, Sanchez-Gonzalez Blanca, Riera Xenia, Lopez-Segura David, Lome-Maldonado Carmen, Ara-Mancebo Xavier, Yelamos Jose, Salido Marta, Vazquez Ivonne, Calvo Xavier, Colomo Luis
Department of Pathology, Hospital del Mar, Hospital del Mar Research Institute-IMIM, 08003 Barcelona, Spain.
Department of Pathology, Consorci Hospitalari Parc Tauli, Institut d'Investigació i Innovació Parc Taulí (I3PT), 08208 Sabadell, Spain.
Cancers (Basel). 2024 Jun 28;16(13):2378. doi: 10.3390/cancers16132378.
is a relevant gene involved in B-cell ontogeny and a survival predictor of aggressive large B-cell lymphomas (aLBCL). Most studies assessing mRNA expression have relied on microarray platforms or qRT-PCR methods, overlooking tissue morphology. In this study, we evaluate RNA expression by chromogenic in situ hybridization (CISH) in normal tissue and in a series of 82 aLBCL.
CISH was performed in formalin-fixed paraffin-embedded tissues, scored by three different methods, and correlated with a transcriptome panel.
We obtained statistically significant results correlating the methods of evaluation with LMO2 protein expression and gene expression results. Normal tonsil tissue showed high levels of , particularly within the light zone of the germinal center. Conversely, in aLBCL, a notable reduction in expression was noted, remarkably in cases carrying rearrangements. Furthermore, significant results were obtained through overall survival and Cox regression survival analysis, incorporating International Prognostic Index data alongside expression levels.
We show a reliable method to identify mRNA expression by CISH, effectively capturing many of the reported biologic features of LMO2.
是一个与B细胞个体发育相关的基因，也是侵袭性大B细胞淋巴瘤（aLBCL）的生存预测指标。大多数评估mRNA表达的研究都依赖于微阵列平台或qRT-PCR方法，而忽略了组织形态学。在本研究中，我们通过显色原位杂交（CISH）评估正常组织和一系列82例aLBCL中的RNA表达。
在福尔马林固定石蜡包埋组织中进行CISH，采用三种不同方法评分，并与转录组面板相关联。
我们获得了具有统计学意义的结果，将评估方法与LMO2蛋白表达和基因表达结果相关联。正常扁桃体组织显示高水平的，特别是在生发中心的亮区。相反，在aLBCL中，观察到表达明显降低，在携带重排的病例中尤为明显。此外，通过总生存和Cox回归生存分析获得了显著结果，纳入了国际预后指数数据以及表达水平。
我们展示了一种通过CISH识别mRNA表达的可靠方法，有效捕捉了许多已报道的LMO2生物学特征。
