This review delves into the most recent advancements in applying artificial intelligence (AI) within neuro-oncology, specifically emphasizing work on gliomas, a class of brain tumors that represent a significant global health issue. AI has brought transformative innovations to brain tumor management, utilizing imaging, histopathological, and genomic tools for efficient detection, categorization, outcome prediction, and treatment planning. Assessing its influence across all facets of malignant brain tumor management- diagnosis, prognosis, and therapy- AI models outperform human evaluations in terms of accuracy and specificity. Their ability to discern molecular aspects from imaging may reduce reliance on invasive diagnostics and may accelerate the time to molecular diagnoses. The review covers AI techniques, from classical machine learning to deep learning, highlighting current applications and challenges. Promising directions for future research include multimodal data integration, generative AI, large medical language models, precise tumor delineation and characterization, and addressing racial and gender disparities. Adaptive personalized treatment strategies are also emphasized for optimizing clinical outcomes. Ethical, legal, and social implications are discussed, advocating for transparency and fairness in AI integration for neuro-oncology and providing a holistic understanding of its transformative impact on patient care.

A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing of 1,864 COVID-19 cases (713 with severe and 1,151 with mild disease) and 15,033 ancestry-matched population controls across 4 independent COVID-19 biobanks. We tested whether rare pLOF variants in these 13 genes were associated with severe COVID-19. We identified only 1 rare pLOF mutation across these genes among 713 cases with severe COVID-19 and observed no enrichment of pLOFs in severe cases compared to population controls or mild COVID-19 cases. We found no evidence of association of rare LOF variants in the 13 candidate genes with severe COVID-19 outcomes.

Primary brain tumors are a leading cause of cancer‐related morbidity and mortality in children. Glioblastoma (GBM) is a high‐grade astrocytoma that occurs in both children and adults and is associated with a poor prognosis. Despite extensive study in recent years, the clinical management of these tumors has remained largely unchanged, consisting of surgical resection, conventional chemotherapy, and radiotherapy. Although the etiology and genomic drivers in GBM are diverse, constitutional mismatch repair‐deficiency (CMMRD) syndrome is a rare, recessively inherited disease with a predisposition to gliomagenesis. CMMRD results from biallelic mutations in one of the mismatch repair genes including mutL homolog 1 (MLH1), mutS homolog 2 (MSH2), mutS homolog 6 (MSH6), and post‐meiotic segregation increased 2 (PMS2). In this report, we present the case of a 5‐year‐old female with GBM and CMMRD due to an MSH6 homozygous c.1883G>A mutation, who continues to experience an exceptional and durable response (9 months) to the immune checkpoint inhibitor (ICPI) nivolumab. Our patient presented with acute neurologic decline and increased intracranial pressure. Neuroimaging studies revealed a large left frontoparietal mass requiring neurosurgical decompression and resection. Histopathologic analyses resulted in a diagnosis of de novo GBM that was BRAF wild type and negative for programmed death‐ligand 1 protein expression. She received standard‐of‐care treatment with surgery, radiation therapy, and temozolomide; however, the tumor recurred 3 months after the initial diagnosis. Molecular analyses of tumor and blood tissues revealed an MSH6 homozygous c.1883G>A mutation consistent with CMMRD. Given her CMMRD status, she was treated with nivolumab (3 mg/kg doses every 2 weeks for 36 weeks) and showed a 60% reduction in tumor size, improved clinical symptoms, and an ongoing durable response lasting 10 months to date. Our study highlights a durable response to the ICPI nivolumab in a pediatric patient with recurrent/refractory CMMRD‐associated GBM. We show that incorporating genomic and/or molecular testing for CMMRD into routine pediatric oncology clinical care can identify a subset of patients likely to benefit from ICPI. Key Points. Constitutional mismatch repair‐deficiency (CMMRD) syndrome, alternatively known as biallelic mismatch repair deficiency syndrome, occurs in subset of pediatric cancer patients, including those with primary brain tumors. Patients from Arab and other developing countries are predicted to have higher incidence of CMMRD due to high prevalence of consanguinity. Integration of molecular and/or genomic testing into routine clinical care for pediatric cancer patients is important to identify patients with CMMRD syndrome. Patient with CMMRD‐associated cancers may show increased responsiveness to immune checkpoint inhibitors. To the authors' knowledge, this is the first report in the Arab world of a durable response to immune checkpoint inhibitors in a pediatric glioblastoma patient.

Constitutional mismatch repair-deficiency: current problems and emerging therapeutic strategies Constitutional mismatch repair-deficiency; current problems and emerging therapeutic strategies

Meningiomas are relatively common, and typically benign intracranial tumors, which in many cases can be cured by surgical resection. However, less prevalent, high grade meningiomas, grow quickly and recur frequently despite treatment, leading to poor patient outcomes. Across tumor grades, subjective guidelines for histological analysis can preclude accurate diagnosis, and an insufficient understanding of recurrence risk can cloud the choice of optimal treatment. Improved diagnostic and prognostic markers capable of discerning between the 15 heterogeneous WHO recognized meningioma subtypes are necessary to improve disease management and identify new targeted drug treatments. In this review, we show the advances in molecular profiling and immunophenotyping of meningiomas, which may lead to the development of new personalized therapeutic strategies.