Publications by authors named "Hia S Ghosh"
Background: Molecular aberrations have been incorporated into tumour classification guidelines of meningioma. TERT-promoter (TERTp) mutation is associated with worse prognosis and is designated a WHO grade 3 biomarker. However, it remains unclear whether TERTp mutation is context-dependent, with other co-occurring genetic alterations potentially driving its association with prognosis.
View Article and Find Full Text PDFChromosome-arm copy number alterations (CNAs) are an important component of cancer molecular classifiers. CNAs are often translated into binary chromosome arm calls (arm gain/loss) using an arm call threshold before integration into classification schemes. However, substantial variability exists in thresholds used to define arm calls from CNA data.
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- Molecular features, particularly CDKN2A/B loss, impact survival outcomes in IDH1/2-mutant astrocytomas, with grade 2/3 tumors showing varied survival based on molecular characteristics.
- In a study of 998 patients, those with intact CDKN2A/B and no focal amplifications had the longest survival, while variations in CDKN2A/B status correlated with poorer outcomes, particularly in grade 4 tumors.
- The research highlights the potential for improved prognostic predictions in IDHmut-astrocytomas by integrating molecular data with histological grading, revealing distinct profiles linked to survival outcomes.
Article Synopsis
- A study examined how molecular features, clinical metrics, and treatment affect the overall survival of glioma patients amidst recent changes in classification and care standards.
- The research involved analyzing 4,400 gliomas from various sources, finding that 27.2% had updated molecular classifications that differed from their initial diagnoses; survival rates varied significantly between different patient groups.
- The study identified key prognostic factors for different glioma types and created survival prediction tools based on age, molecular features, and treatment, aiming to enhance understanding and research on gliomas.
Background: Distinct genetic alterations determine glioma aggressiveness, however, the diversity of somatic mutations contributing to peritumoral hyperexcitability and seizures over the course of the disease is uncertain. This study aimed to identify tumor somatic mutation profiles associated with clinically significant hyperexcitability.
Methods: A single center cohort of adults with WHO grades 1-4 glioma and targeted exome sequencing (n = 1716) was analyzed and cross-referenced with a validated EEG database to identify the subset of individuals who underwent continuous EEG monitoring (n = 206).
Distinct genetic alterations determine glioma aggressiveness, however the diversity of somatic mutations contributing to peritumoral hyperexcitability and seizures is uncertain. In a large cohort of patients with sequenced gliomas (n=1716), we used discriminant analysis models to identify somatic mutation variants associated with electrographic hyperexcitability in a subset with continuous EEG recording (n=206). Overall tumor mutational burdens were similar between patients with and without hyperexcitability.
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