Uhl Christian, Ayoub Naseem, Faust Katharina, Vajkoczy Peter, Schweizer Leonille, Radke Josefine, Ehret Felix, Capper David, Onken Julia Sophie
Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurosurgery, Berlin, Germany.
Uniklinik Düsseldorf, Department of Neurosurgery, Dusseldorf, Germany.
Brain Spine. 2025 Apr 21;5:104256. doi: 10.1016/j.bas.2025.104256. eCollection 2025.
Patients with suspected neuro-oncological disease on radiographic images and no histopathological evidence of a tumor on the surgically retrieved tissue, pose a great challenge for clinicians and neuropathologists. Meanwhile, genome-wide DNA methylation-based molecular profiling has been established to allow robust brain tumor classification.
Does DNA methylation-based molecular profiling make a relevant contribution to the diagnosis and resolution of these non-specific neuro-oncological cases.
We screened all neurosurgical cases at our institution between 2009 and 2021 with suspected neuro-oncological diseases on MRI but negative or unspecific histopathological diagnosis. We differentiated two groups: cases with cell-enriched, reactive tissue (with or without suspected single tumor cells), insufficient to classify the lesion according to WHO 2021 diagnostic criteria for CNS tumors (group 1) and cases that were not cell-enriched, without reactive changes and no suspected tumor cells (group 2). The primary endpoint of the study was to assess the feasibility of establishing a molecular diagnosis in accordance with the WHO 2021 diagnostic criteria for CNS tumors.
23 cases with unspecified histopathological diagnosis were identified, 16 cases were assigned to group 1, seven cases to group 2. DNA-methylation-based profiling and copy number variations enabled a tumor diagnosis in nine (56.3 %) cases in group 1 and three (42.9 %) cases in group 2, adding up to 12 tumors (52.2 %). Five cases were identified as physiological cortex.
Our findings underscore the potential of integrating DNA methylation-based profiling into diagnostic workflows, contributing to an accurate diagnosis in challenging cases.
影像学检查怀疑患有神经肿瘤疾病但手术切除组织中无肿瘤组织病理学证据的患者,给临床医生和神经病理学家带来了巨大挑战。与此同时,基于全基因组DNA甲基化的分子谱分析已被用于进行可靠的脑肿瘤分类。
基于DNA甲基化的分子谱分析对这些非特异性神经肿瘤病例的诊断和确诊是否有重要贡献?
我们筛选了2009年至2021年间本院所有因MRI检查怀疑患有神经肿瘤疾病但组织病理学诊断为阴性或不明确的神经外科病例。我们将病例分为两组:细胞丰富的反应性组织病例(有或无疑似单个肿瘤细胞),根据世界卫生组织(WHO)2021年中枢神经系统肿瘤诊断标准不足以对病变进行分类(第1组),以及细胞不丰富、无反应性改变且无疑似肿瘤细胞的病例(第2组)。该研究的主要终点是评估根据WHO 2021年中枢神经系统肿瘤诊断标准建立分子诊断的可行性。
共识别出23例组织病理学诊断不明确的病例,其中16例归入第1组,7例归入第2组。基于DNA甲基化的谱分析和拷贝数变异在第1组的9例(56.3%)病例和第2组的3例(42.9%)病例中实现了肿瘤诊断,共计12例肿瘤(52.2%)。5例被确定为生理性皮质。
我们的研究结果强调了将基于DNA甲基化的谱分析整合到诊断工作流程中的潜力,有助于在具有挑战性的病例中做出准确诊断。