Immunohistochemical Surrogates for Molecular Stratification in Medulloblastoma.

BACKGROUND: The WHO classification of central nervous system neoplasms (2016) recognized 4 histologic variants and genetically defined molecular subgroups within medulloblastoma (MB). Further, in the 2021 classification, new subtypes have been provisionally added within the existing subgroups reflecting the biological diversity. YAP1, GAB1, and ß-catenin were conventionally accepted as surrogate markers to identify these genetic subgroups. OBJECTIVES: We aimed to stratify MB into molecular subgroups using 3 immunohistochemical markers. TP53 mutation was also assessed in Wingless (WNT), and Sonic Hedgehog (SHH) subgroups. Demographic profiles, imaging details, and survival outcomes were compared within these molecular subgroups. PATIENTS AND METHODS: Our cohort included 164 MB cases diagnosed over the last 10 years. The histologic variants were identified on histology, and tumors were molecularly stratified using YAP1, GAB1, and ß-catenin. Further, TP53 mutation was assessed using immunohistochemical in WNT and SHH subgroups. The clinical details and survival outcomes were retrieved from the records, and the mentioned correlates were evaluated statistically. RESULTS: The age ranged from 1 to 52 years with M:F ratio of 2:1. Group 3/group 4 constituted the majority (48.4%), followed by SHH (45.9%) and WNT subgroups (5.7%). Desmoplastic/nodular and MB with extensive nodularity had the best survival, whereas large cell/anaplastic had the worst. The follow-up period ranged from 1 to 129 months. The best outcome was observed for the WNT subgroup, followed by the SHH subgroup; group 3/group 4 had the worst. Among the SHH subgroup, TP53 mutant tumors had a significantly poorer outcome compared with SHH-TP53 wildtype. CONCLUSIONS: Molecular stratification significantly contributes to prognostication, and a panel of 3 antibodies is helpful in stratifying MB into its subgroups in centers where access to advanced molecular testing is limited. Our study reinforces the efficacy of incorporating this cost-effective, minimal panel into routine practice for stratification. Further, we propose a 3-risk stratification grouping, incorporating morphology and molecular markers.

MYCN amplification, TERT rearrangements and ATRX mutations in neuroblastoma: clinicopathological correlates- an Indian perspective.

BACKGROUND: Neuroblastoma (NB) is the most common extracranial solid tumour in childhood with a diverse clinical presentation and course. The early age of onset, high frequency of metastatic disease at diagnosis and tendency for spontaneous regression in infancy sets it apart from other childhood tumors. This heterogeneity is largely attributed to underlying genetic aberrations which are distinct in low-risk and high-risk NB. To this end, we sought to analyse our NB cases for the molecular alterations and find its correlation with clinical behaviour. METHODS: NB cases (n = 50) diagnosed over last 7 years were retrospectively analysed for MYCN amplification (fluorescent-in-situ hybridization), TERT rearrangements (qRT-PCR), ATRX mutations (immunohistochemistry). These findings were correlated with demographic profiles, histologic features and clinical outcome. RESULTS: Age ranged from 1 month to 30 years (mean 2.8 years) with male preponderance. Poorly differentiated subtype constituted the majority (64%), followed by differentiating (28%) and undifferentiated subtype (8%) which were equally distributed across all age groups. MYCN amplification, TERT-mRNA upregulation and ATRX mutations was observed in 30%, 42% and 24%, respectively. Cases with TERT-mRNA upregulation were distributed equally across all histological subtypes while those with ATRX mutations and MYCN amplification were frequent in poorly differentiated NB. ATRX mutation was mutually exclusive of TERT-mRNA upregulation and MYCN amplification. Kaplan-Meier analysis revealed significantly shorter overall and progression-free survival for tumors harboring MYCN amplification and TERT-mRNA upregulation, while that for ATRX mutant tumors was not significant. CONCLUSIONS: Our results provide data indicating poor clinical outcome in NB carrying MYCN amplification and TERT-mRNA upregulation.

Molecular subgrouping of ependymoma across three anatomic sites and their prognostic implications.

The 2021 WHO classification stratifies ependymoma (EPN) into nine molecular subgroups according to the anatomic locations which outperforms histological grading. We aimed at molecularly reclassifying 200 EPN using immunohistochemistry (IHC) and sequencing for ZFTA fusions in supratentorial (ST) EPN. Further, we assessed the utility of L1CAM, cyclinD1, and p65 markers in identifying ZFTA fusion. Demographic profiles, histologic features, molecular subgroups and clinical outcome were retrospectively analyzed. IHC for L1CAM, cyclinD1, p65, H3K27me3, and H3K27M and sequencing for ZFTA fusion were performed. ZFTA fusions were identified in 44.8% ST EPN. p65 displayed the highest specificity (93.8%), while L1CAM had the highest sensitivity (92.3%) in detecting ZFTA fusions. The negative predictive value approached 96.6% and sensitivity improved to 96.2% with combinatorial IHC (L1CAM, cyclinD1, p65). H3K27me3 loss (PF-A) was noted in 65% PF EPN. Our results provide evidence that a combination of two of three (L1CAM, p65, and cyclinD1) can be used as surrogate markers for predicting fusion. ZFTA fusion, and its surrogate markers in ST, and H3K27me3 and younger age (< 5 years) in PF showed significant correlation with PFS and OS on univariate and Kaplan-Meier analysis. On multivariate analysis, H3K27me3 loss and younger age group are associated with poor clinical outcome.