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Small cell carcinoma of the ovary (SCCO) is an exceedingly rare malignant neoplasm. It has been classified into two types: hypercalcemic and pulmonary type, the former being relatively more common. These are highly aggressive neoplasms with rapid down‐hill course and poor disease‐outcome. A high index of clinical suspicion, systematic radiological evaluation, and an early tissue diagnosis are a must for timely patient management and a better outcome. A definitive diagnosis can be established by demonstration of the characteristic morphologic and immunochemical features. We report a case of SCCO of pulmonary type in a peri‐menopausal female, presenting with a large abdomino‐pelvic mass, which was diagnosed by fine needle aspiration cytology (FNAC), by immunocytochemistry on cell‐block. In addition, cytological features of metastatic SCCO, pulmonary type, in the Papanicolaou stained liquid‐based cytology (SurePath) preparation are also presented. The current report highlights the diagnostic utility of FNAC in the diagnosis of such rare gynecological malignancies.

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Master A, 11 years old male, a resident of Indri, Haryana was admitted to the pediatric emergency with chief complaints of fever, yellowish discoloration of eyes and skin along with inappropriate behavior. The episode of fever occurred 20 days back and lasted for 10 days duration. Fever was high grade (documented at 102ºF), intermittent and was relieved on taking medication. It was associated with nausea, vomiting, and malaise. The child had yellowish discoloration of eyes and skin since 20 days. This was progressive and was associated with passage of high colored urine and clay colored stools. He showed excessive irritability, use of abusive language/ inappropriate words and alteration in sleep-wake cycle for 2 days. There was blurring of vision since 2 days. There was no history of headache, abnormal body movements, loss of consciousness or seizures. No history of bleeding from any site, rash, pruritus, decreased urine output or

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 β-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 β-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.