MacFeeters-Hamilton Center for Neuro-Oncology, Princess Margaret Cancer Center, Princess Margaret Cancer Research Tower, 101 College Street, 14th floor, Room 601, Toronto, ON, M5G 1L7, Canada.
Division of Neurosurgery, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Clin Epigenetics. 2019 Dec 5;11(1):185. doi: 10.1186/s13148-019-0766-2.
Molecular signatures are being increasingly incorporated into cancer classification systems. DNA methylation-based central nervous system (CNS) tumor classification is being recognized as having the potential to aid in cases of difficult histopathological diagnoses. Here, we present our institutional clinical experience in integrating a DNA-methylation-based classifier into clinical practice and report its impact on CNS tumor patient diagnosis and treatment.
Prospective case review was undertaken at CNS tumor board discussions over a 3-year period and 55 tumors with a diagnosis that was not certain to two senior neuropathologists were recommended for methylation profiling based on diagnostic needs. Tumor classification, calibrated scores, and copy number variant (CNV) plots were obtained for all 55 cases. These results were integrated with histopathological findings to reach a final diagnosis. We retrospectively reviewed each patient's clinical course to determine final neuro-pathology diagnoses and the impact of methylation profiling on their clinical management, with a focus on changes that were made to treatment decisions.
Following methylation profiling, 46 of the 55 (84%) challenging cases received a clinically relevant diagnostic alteration, with two-thirds having a change in the histopathological diagnosis and the other one-third obtaining clinically important molecular diagnostic or subtyping alterations. WHO grading changed by 27% with two-thirds receiving a higher grade. Patient care was directly changed in 15% of all cases with major changes in clinical decision-making being made for these patients to avoid unnecessary or insufficient treatment.
The integration of methylation-based CNS tumor classification into diagnostics has a substantial clinical benefit for patients with challenging CNS tumors while also avoiding unnecessary health care costs. The clinical impact shown here may prompt the expanded use of DNA methylation profiling for CNS tumor diagnostics within prominent neuro-oncology centers globally.
分子特征越来越多地被纳入癌症分类系统。基于 DNA 甲基化的中枢神经系统 (CNS) 肿瘤分类被认为有可能辅助难以进行组织病理学诊断的病例。在此,我们介绍了我们机构在将基于 DNA 甲基化的分类器整合到临床实践中的经验,并报告了其对 CNS 肿瘤患者诊断和治疗的影响。
在 CNS 肿瘤委员会讨论会上进行了前瞻性病例回顾,在 3 年内,有 55 例肿瘤被两位资深神经病理学家诊断为不确定,并根据诊断需求建议进行甲基化分析。对所有 55 例肿瘤进行了肿瘤分类、校准评分和拷贝数变异 (CNV) 图谱分析。这些结果与组织病理学发现相结合,以得出最终诊断。我们回顾性地审查了每位患者的临床过程,以确定最终的神经病理学诊断,并确定甲基化分析对其临床管理的影响,重点是治疗决策的变化。
在进行甲基化分析后,55 例具有挑战性的病例中有 46 例(84%)获得了具有临床意义的诊断改变,其中三分之二的病例改变了组织病理学诊断,三分之一的病例获得了具有临床重要性的分子诊断或亚型改变。WHO 分级改变了 27%,其中三分之二的病例分级更高。15%的病例直接改变了患者的护理,这些患者的临床决策发生了重大变化,以避免不必要或治疗不足。
将基于甲基化的 CNS 肿瘤分类整合到诊断中,对具有挑战性的 CNS 肿瘤患者具有显著的临床益处,同时避免了不必要的医疗保健费用。这里显示的临床影响可能会促使全球知名神经肿瘤中心扩大使用 DNA 甲基化分析进行 CNS 肿瘤诊断。