The clinical and molecular landscape of thalamic glioma
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Thalamic gliomas (TGs) remain a formidable clinical challenge for accurate diagnosis and effective therapy. This study aims to refine molecular diagnosis and surgical management of TGs by integrating clinicopathological and multiomics data. METHODS: We analyzed 106 TGs, comprising 65 diffuse midline glioma (DMG) and 41 non-DMG, using genomic profiling, single-cell RNA sequencing, and orthogonal assays. Surgical outcomes were evaluated using rigorous causal inference frameworks, including propensity score matching and difference-in-differences analyses. RESULTS: Genomic profiling revealed striking mutual exclusivity between H3F3A mutations and CDKN2A/B (9p21) loss. Single-cell and orthogonal assays validated that 9p21 loss emerged as a highly specific adjunctive marker favoring non-DMG over DMG. Causal inference analyses consistently demonstrated that microsurgical third ventriculostomy (mTV) confers profound protection against postoperative hydrocephalus (risk reduction >60%). Multivariate analysis identified the transfrontal approach as an independent predictor of postoperative motor deficits. Survival analysis showed that the median overall survival of this cohort following surgical resection was 21.0 months. Extent of resection and tumor mutational burden emerged as the principal independent determinants of prognosis, whereas postoperative Karnofsky performance status showed survival stratification in univariable/subgroup analyses but was not independently significant in the multivariable model. CONCLUSIONS: In this 106-patient cohort study, we delineated the somatic mutational landscape of TG and showed that 9p21 loss is mutually exclusive with H3F3A mutations, providing a highly specific adjunctive marker for TG. We further demonstrated that maximal surgical resection confers a survival benefit and intraoperative mTV serves as a standardized treatment workflow to optimize care for TG.
Source: Neuro-Oncology
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,132
Awards: G641603924, G8822849069
OpenAlex ID: W7166671226
