Use, access, and initial outcomes of off-label ivosidenib in patients with IDH1 mutant glioma.

Background: Isocitrate dehydrogenase (IDH) is commonly mutated (mIDH) in gliomas, and this mutant enzyme produces the oncometabolite 2-hydroxyglutarate (2HG). 2HG promotes gliomagenesis and is implicated in epileptogenesis. Ivosidenib (IVO), a small molecule oral mIDH1 inhibitor, is FDA-approved for mIDH1 newly diagnosed and relapsed/refractory acute myeloid leukemia. Moreover, IVO has efficacy in clinical trials for recurrent mIDH1 gliomas. Given the lack of targeted treatments for gliomas, we initiated off-label IVO for mIDH glioma patients in October 2020. Methods: Retrospectively, we sought to assess early outcomes in our patients and describe their experience on IVO from October 2020 through February 2022. Our objective was to report on the following variables of off-label use of IVO: radiographic response, seizure control, tolerability, and access to the medication. All patients initially received single-agent IVO dosed at 500 mg orally once daily. Results: The cohort age range was 21-74 years. Tumor types included astrocytoma (n = 14) and oligodendroglioma (n = 16), with most being grade 2 (n = 21). The best radiographic response in nonenhancing disease (n = 22) was 12 stable diseases, 5 minor responses, 3 partial responses, and 2 progressive diseases. Seizure frequency was stable to improved for most patients (70%, n = 21). IVO was well-tolerated, with the most common toxicities being diarrhea, elevated creatine kinase, and QTc interval prolongation. Most patients (66.7%, n = 20) received drugs via the patient assistance program, with insurance initially covering a third of patients and with ongoing use, later covering 60%. Conclusions: Targeted therapies like IVO are options for mIDH glioma patients and can provide positive oncologic and neurological outcomes.

Understanding and therapeutically exploiting cGAS/STING signaling in glioblastoma.

Since the discovery that cGAS/STING recognizes endogenous DNA released from dying cancer cells and induces type I interferon and antitumor T cell responses, efforts to understand and therapeutically target the STING pathway in cancer have ensued. Relative to other cancer types, the glioma immune microenvironment harbors few infiltrating T cells, but abundant tumor-associated myeloid cells, possibly explaining disappointing responses to immune checkpoint blockade therapies in cohorts of patients with glioblastoma. Notably, unlike most extracranial tumors, STING expression is absent in the malignant compartment of gliomas, likely due to methylation of the STING promoter. Nonetheless, several preclinical studies suggest that inducing cGAS/STING signaling in the glioma immune microenvironment could be therapeutically beneficial, and cGAS/STING signaling has been shown to mediate inflammatory and antitumor effects of other modalities either in use or being developed for glioblastoma therapy, including radiation, tumor-treating fields, and oncolytic virotherapy. In this Review, we discuss cGAS/STING signaling in gliomas, its implications for glioma immunobiology, compartment-specific roles for STING signaling in influencing immune surveillance, and efforts to target STING signaling - either directly or indirectly - for antiglioma therapy.

Advanced Age in Humans and Mouse Models of Glioblastoma Show Decreased Survival from Extratumoral Influence.

PURPOSE: Glioblastoma (GBM) is the most common aggressive primary malignant brain tumor in adults with a median age of onset of 68 to 70 years old. Although advanced age is often associated with poorer GBM patient survival, the predominant source(s) of maladaptive aging effects remains to be established. Here, we studied intratumoral and extratumoral relationships between adult patients with GBM and mice with brain tumors across the lifespan. EXPERIMENTAL DESIGN: Electronic health records at Northwestern Medicine and the NCI SEER databases were evaluated for GBM patient age and overall survival. The commercial Tempus and Caris databases, as well as The Cancer Genome Atlas were profiled for gene expression, DNA methylation, and mutational changes with varying GBM patient age. In addition, gene expression analysis was performed on the extratumoral brain of younger and older adult mice with or without a brain tumor. The survival of young and old wild-type or transgenic (INK-ATTAC) mice with a brain tumor was evaluated after treatment with or without senolytics and/or immunotherapy. RESULTS: Human patients with GBM ≥65 years of age had a significantly decreased survival compared with their younger counterparts. While the intra-GBM molecular profiles were similar between younger and older patients with GBM, non-tumor brain tissue had a significantly different gene expression profile between young and old mice with a brain tumor and the eradication of senescent cells improved immunotherapy-dependent survival of old but not young mice. CONCLUSIONS: This work suggests a potential benefit for combining senolytics with immunotherapy in older patients with GBM.

cGAS-STING pathway targeted therapies and their applications in the treatment of high-grade glioma.

Median survival of patients with glioblastoma (GBM) treated with standard of care which consists of maximal safe resection of the contrast-enhancing portion of the tumor followed by radiation therapy with concomitant adjuvant temozolomide (TMZ) remains 15 months. The tumor microenvironment (TME) is known to contain immune suppressive myeloid cells with minimal effector T cell infiltration. Stimulator of interferon genes (STING) is an important activator of immune response and results in production of Type 1 interferon and antigen presentation by myeloid cells. This review will discuss important developments in STING agonists, potential biomarkers for STING response, and new combinatorial therapeutic approaches in gliomas.

Patterns of care in adult histone mutant gliomas: Results of an international survey.

Background: Histone mutant gliomas (HMG) with histone H3 K27 and G34 mutations are recognized as biologically discrete entities with distinct anatomical locations, younger age at presentation (in comparison to the most common high-grade gliomas, IDH wildtype glioblastoma), and poor prognosis. There is a paucity of data regarding the management of adult HMG patients and no consensus on management. This study aims to identify current patterns of Australian and US neuro-oncology clinical practice for this entity. Methods: Following institutional approvals, patterns of care questionnaire designed to capture relevant clinical variables was circulated through the Cooperative Trials Group for Neuro-Oncology (COGNO) in Australia and the Caris Precision Oncology Alliance in the United States (US). Results: Between 4/2021 and 10/2021, 43 responses were collected. 33% (n = 14) of responders tested all patients for HMGs routinely; 40.92% (n = 18) tested in select patients 26% (n = 11) did not test for HMGs. The common indications for testing selected patients were midline anatomic location (n = 18) and age (n = 11) (<50 years). 23 used molecular sequencing, 22 used IHC at their centers. Nine participants stated knowledge of histone H3 mutations did not affect their management of these gliomas, 11 said it affected their management at the time of recurrence, 23 stated it affected the management of midline K27M patients, 11 participants stated it affected the management of K27M mutant gliomas in other locations, and 3 felt it affected the management of G34R/V mutant gliomas. Conclusion: Here we present a description of how the discovery of a new molecular subtype of primary glial tumors, histone mutated gliomas in adults, is being introduced into clinical practice.

Primary brain and other central nervous system tumors in the United States (2014-2018): A summary of the CBTRUS statistical report for clinicians.

Background: The Central Brain Tumor Registry of the United States (CBTRUS) contains information on all primary brain and other central nervous system (CNS) tumors diagnosed in the United States (US). Here we summarize the 2021 CBTRUS annual statistical report for clinicians. Methods: Incidence survival data are obtained from the Centers for Disease Control's National Program of Cancer Registries (NPCR) and National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. Survival data are obtained from NPCR. Mortality data are obtained from the National Vital Statistics System. Incidence and mortality rates are age-adjusted using the 2000 US population and presented per 100,000 population. Results: An annual average of 86,355 cases of primary malignant and nonmalignant CNS tumors were diagnosed over the period 2014-2018, corresponding to an average annual age-adjusted incidence rate of 24.25. The most commonly occurring malignant tumor was glioblastoma (14.3%), and the most common predominately nonmalignant tumor was meningioma (39%). Over the 2014-2018 period, there were 16,606 annual average deaths due to malignant primary CNS tumors, corresponding to an average annual age-adjusted mortality rate of 4.43. In this report we detail key incidence, survival, and mortality statistics for major primary CNS tumor histologies, highlighting relevant differences by age, sex, and race. Conclusions: This summary describes the most up to date population-based incidence of primary malignant and nonmalignant brain and other CNS tumors in the US, and mortality and survival for primary malignant tumors and aims to serve as a useful resource for clinicians.

Advances in the Diagnosis and Treatment of Leptomeningeal Disease.

PURPOSE OF REVIEW: Leptomeningeal disease (LMD) is a rare, late complication of systemic cancer and is associated with significant neurological morbidity and high mortality. Here we provide an overview of this condition, summarizing key recent research findings and clinical practice trends in its diagnosis and treatment. We also review current clinical trials for LMD. RECENT FINDINGS: Improved molecular diagnostic tools are in development to enable more sensitive detection of LMD, including circulating tumor cells and circulating tumor DNA. The use of targeted and CNS-penetrant therapeutics has shown survival improvements with tyrosine kinase inhibitors, antibody-drug conjugates, and select chemotherapy. However, these studies have primarily been phase I/II and retrospective analyses. There remains a dearth of clinical trials that include LMD patients. The combination of patient-specific molecular information and novel therapeutic approaches holds significant promise for improving outcomes in patients with LMD.

Structure and dynamics of the HIV-1 frameshift element RNA.

The HIV-1 ribosomal frameshift element is highly structured, regulates translation of all virally encoded enzymes, and is a promising therapeutic target. The prior model for this motif contains two helices separated by a three-nucleotide bulge. Modifications to this model were suggested by SHAPE chemical probing of an entire HIV-1 RNA genome. Novel features of the SHAPE-directed model include alternate helical conformations and a larger, more complex structure. These structural elements also support the presence of a secondary frameshift site within the frameshift domain. Here, we use oligonucleotide-directed structure perturbation, probing in the presence of formamide, and in-virion experiments to examine these models. Our data support a model in which the frameshift domain is anchored by a stable helix outside the conventional domain. Less stable helices within the domain can switch from the SHAPE-predicted to the two-helix conformation. Translational frameshifting assays with frameshift domain mutants support a functional role for the interactions predicted by and specific to the SHAPE-directed model. These results reveal that the HIV-1 frameshift domain is a complex, dynamic structure and underscore the importance of analyzing folding in the context of full-length RNAs.

SHAPE-directed discovery of potent shRNA inhibitors of HIV-1.

The RNA interference (RNAi) pathway can be exploited using short hairpin RNAs (shRNAs) to durably inactivate pathogenic genes. Prediction of optimal target sites is notoriously inaccurate and current approaches applied to HIV-1 show weak correlations with virus inhibition. In contrast, using a high-content model for disrupting pre-existing intramolecular structure in the HIV-1 RNA, as achievable using high-resolution SHAPE (selective 2'-hydroxyl acylation analyzed by primer extension) chemical probing information, we discovered strong correlations between inhibition of HIV-1 production in a quantitative cell-based assay and very simple thermodynamic features in the target RNA. Strongest inhibition occurs at RNA target sites that both have an accessible "seed region" and, unexpectedly, are structurally accessible in a newly identified downstream flanking sequence. We then used these simple rules to create a new set of shRNAs and achieved inhibition of HIV-1 production of 90% or greater for up to 82% of designed shRNAs. These shRNAs inhibit HIV-1 replication in therapy-relevant T cells and show no or low cytotoxicity. The remarkable success of this straightforward SHAPE-based approach emphasizes that RNAi is governed, in significant part, by very simple, predictable rules reflecting the underlying RNA structure and illustrates principles likely to prove broadly useful in understanding transcriptome-scale biological recognition and therapeutics involving RNA.

SHAPE-directed RNA secondary structure prediction.

The diverse functional roles of RNA are determined by its underlying structure. Accurate and comprehensive knowledge of RNA structure would inform a broader understanding of RNA biology and facilitate exploiting RNA as a biotechnological tool and therapeutic target. Determining the pattern of base pairing, or secondary structure, of RNA is a first step in these endeavors. Advances in experimental, computational, and comparative analysis approaches for analyzing secondary structure have yielded accurate structures for many small RNAs, but only a few large (>500 nts) RNAs. In addition, most current methods for determining a secondary structure require considerable effort, analytical expertise, and technical ingenuity. In this review, we outline an efficient strategy for developing accurate secondary structure models for RNAs of arbitrary length. This approach melds structural information obtained using SHAPE chemistry with structure prediction using nearest-neighbor rules and the dynamic programming algorithm implemented in the RNAstructure program. Prediction accuracies reach >or=95% for RNAs on the kilobase scale. This approach facilitates both development of new models and refinement of existing RNA structure models, which we illustrate using the Gag-Pol frameshift element in an HIV-1 M-group genome. Most promisingly, integrated experimental and computational refinement brings closer the ultimate goal of efficiently and accurately establishing the secondary structure for any RNA sequence.