METB-11. HOW METHYLATION PROFILING HELPS IN DIAGNOSING AND TREATING PEDIATRIC BRAIN TUMORS IN INDONESIA

Abstract

Abstract BACKGROUNDS Pediatric brain tumors (PBT) exhibit extensive heterogeneity, impacting treatment outcomes. While traditionally classified based on histopathological features, recent WHO classifications have integrated DNA methylation array profiling amongst other molecular characteristics, which improves diagnostic accuracy and thus treatment decisions. However, access to this technology is limited in low- and middle-income countries (LMICs) like Indonesia. As part of the MNP Outreach Consortium, we aimed to introduce methylation profiling in Indonesia to aid in diagnosing and stratifying PBT patients. METHODS In 2023, we conducted a case series involving seven challenging PBT cases from Cipto Mangunkusumo National General Hospital, re-assessing them with methylation profiling. RESULTS Through collaboration with the Institute of Neuropathology Heidelberg and the DKFZ, our centre adopted a discerning approach to re-evaluate histopathological samples from complex cases. This endeavour yielded notable results, reaffirming four initial diagnoses and altering three others Amongst the findings, one case initially diagnosed as anaplastic ependymoma, CNS WHO grade 3, was reclassified as a supratentorial ependymoma with YAP1 fusion gene, based on methylation class. Noteworthy within this latter group, one case initially categorized as low-grade pilocytic astrocytoma was reclassified as high-grade diffuse midline glioma, H3 K27 altered. Moreover identifying the copy number plot could indicate a KIAA1549::BRAF fusion to reclassify a case from diffuse pediatric glioma WHO grade 2 to pilocytic astrocytoma WHO grade 1. The recurrent pigmented neuroectodermal tumor of infancy (MNTI) was reclassified as Medulloblastoma, non-WNT/non-SHH, group 3 subtype II on methylation profiling, highlighting molecular similarities and potential treatment insights. These findings offer insights into genetic mechanisms and guide treatment strategies. CONCLUSION Accurate diagnosis, facilitated by advanced molecular profiling, enhances prognostication and enables personalized treatment plans, even in LMICs. This underscores the importance of expanding access to advanced diagnostic technologies in resource-limited settings.