Citations

Abstract Patients with H3K27M-mutant diffuse midline glioma (DMG) have no proven effective therapies. ONC201 has recently demonstrated efficacy in these patients, but the mechanism behind this finding remains unknown. We assessed clinical outcomes, tumor sequencing, and tissue/cerebrospinal fluid (CSF) correlate samples from patients treated in two completed multisite clinical studies. Patients treated with ONC201 following initial radiation but prior to recurrence demonstrated a median overall survival of 21.7 months, whereas those treated after recurrence had a median overall survival of 9.3 months. Radiographic response was associated with increased expression of key tricarboxylic acid cycle–related genes in baseline tumor sequencing. ONC201 treatment increased 2-hydroxyglutarate levels in cultured H3K27M-DMG cells and patient CSF samples. This corresponded with increases in repressive H3K27me3 in vitro and in human tumors accompanied by epigenetic downregulation of cell cycle regulation and neuroglial differentiation genes. Overall, ONC201 demonstrates efficacy in H3K27M-DMG by disrupting integrated metabolic and epigenetic pathways and reversing pathognomonic H3K27me3 reduction. Significance: The clinical, radiographic, and molecular analyses included in this study demonstrate the efficacy of ONC201 in H3K27M-mutant DMG and support ONC201 as the first monotherapy to improve outcomes in H3K27M-mutant DMG beyond radiation. Mechanistically, ONC201 disrupts integrated metabolic and epigenetic pathways and reverses pathognomonic H3K27me3 reduction. This article is featured in Selected Articles from This Issue, p. 2293

Histone‐lysine N‐methyltransferase SETD2 (SETD2), the sole histone methyltransferase that catalyzes trimethylation of lysine 36 on histone H3 (H3K36me3), is often mutated in clear cell renal cell carcinoma (ccRCC). SETD2 mutation and/or loss of H3K36me3 is linked to metastasis and poor outcome in ccRCC patients. Epithelial‐to‐mesenchymal transition (EMT) is a major pathway that drives invasion and metastasis in various cancer types. Here, using novel kidney epithelial cell lines isogenic for SETD2, we discovered that SETD2 inactivation drives EMT and promotes migration, invasion, and stemness in a transforming growth factor‐beta‐independent manner. This newly identified EMT program is triggered in part through secreted factors, including cytokines and growth factors, and through transcriptional reprogramming. RNA‐seq and assay for transposase‐accessible chromatin sequencing uncovered key transcription factors upregulated upon SETD2 loss, including SOX2, POU2F2 (OCT2), and PRRX1, that could individually drive EMT and stemness phenotypes in SETD2 wild‐type (WT) cells. Public expression data from SETD2 WT/mutant ccRCC support the EMT transcriptional signatures derived from cell line models. In summary, our studies reveal that SETD2 is a key regulator of EMT phenotypes through cell‐intrinsic and cell‐extrinsic mechanisms that help explain the association between SETD2 loss and ccRCC metastasis.

Introduction: Spontaneous coronary artery dissection (SCAD) is an understudied cause of acute myocardial infarction due to hematoma formation in coronary arteries primarily affecting women. It is not known to what extent SCAD is genetically distinct from other cardiovascular diseases, including atherosclerotic coronary artery disease (CAD). Methods and Results: Through a meta-analysis of 8 GWAS (1917 cases, 9292 controls of European ancestry), we identified 17 risk loci, including 12 new. Functional annotations pointed at enrichment in enhancer marks of arteries, specifically smooth muscle cells, and strong candidate genes, such as tissue factor gene ( F3 ) on Chr1 near rs1146473 (OR=1.32, P=5.8 х10 -9 ). F3 is novel for SCAD or any cardiovascular disease. The risk allele correlated with F3 lower expression in arteries, supporting a mechanism consistent with hematoma formation. Bayesian gene regulatory networks constructed from expression and genetics data indicated the extracellular matrix organization in arteries as the biological function where most prioritized genes clustered (e.g. COL4A1/A2, HTRA1, and TIMP3 ). Overall, we report substantial polygenicity for SCAD (LDSC: h 2 SNP = 0.71 ± 0.11) and shared genetics with several neurovascular diseases (e.g intracranial aneurysm). Intriguingly, for 6 loci, colocalization analyses showed that SCAD and CAD are likely to share the same causal variants but involve opposite risk alleles (e.g COL4A1/A2 ). In addition, a negative genetic correlation was found between SCAD and CAD (rg=-0.12; P=3.7х10 -3 ), including after conditioning on BP (mt-COJO: rg CAD/SBP =-0.19, P=4.6х10 -6 ). Mendelian randomization analyses indicated higher BP to associate with increased risk for SCAD (beta IVW-SBP =0.05, P=7.6х10 -6 , beta IVW-DBP =0.10, P=1.9х10 -6 ) and CAD (beta IVW-SBP =0.04, P=8.6х10 -49 ; DBP: beta IVW-DBP =0.06, P=1.6х10 -44 ) but not BMI, lipids, or type 2 diabetes, which we confirmed as genetic risk factors for CAD Conclusions: Our results set the stage for future investigation of novel biological pathways relevant to both SCAD and CAD and potential therapeutic and preventive strategies specifically targeting this ischemic disease predominantly affecting women.

ABSTRACT The Food and Drug Administration defines digital health (DH) as “a convergence of people, information, technology, and connectivity to improve health care and health outcomes”. Information and communication technologies are categorized under the DH umbrella. While still in their infancy, these technologies have great potential to revolutionize the clinical approaches to bedside management and overall health care. Over the past few decades, there has been a substantial improvement in the technology in smart wearable devices that enabled them to enhance their abilities to collect patient-related data, including physiological and behavioral information in the Internet of things. This has resulted in implementing several controlled clinical trials that have confirmed their validity and safety. These digital diagnostics have led to the expansion of digital therapies and specialized software (for example, apps) capable of effectively and measurably guiding patients’ progress toward improving their clinical condition. These technologies are clinically validated treatments for many diseases with particular effectiveness in pathological conditions related to behavior and psychological factors. In this review paper, we describe the outlines of some of the recent progress made in this field.

Abstract: The COVID-19 pandemic, caused by the coronavirus, SARS-CoV-2, has claimed millions of lives worldwide in the past two years. Fatalities among the elderly with underlying cardiovascular disease, lung disease, and diabetes have particularly been high. A biometrics analysis on author’s keywords was carried out, and searched for possible links between various coronavirus studies over the past 50 years, and integrated them. We found keywords like immune system, immunity, nutrition, malnutrition, micronutrients, exercise, inflammation, and hyperinflammation were highly related to each other. Based on these findings, we hypothesized that the human immune system is a multilevel super complex system, which employs multiple strategies to contain microorganism infections and restore homeostasis. It was also found that the behavior of the immune system is not able to be described by a single immunological theory. However, one main strategy is “self-destroy and rebuild”, which consists of a series of inflammatory responses: 1) active self-destruction of damaged/dysfunctional somatic cells; 2) removal of debris and cells; 3) rebuilding tissues. Thus, invading microorganisms’ clearance could be only a passive bystander response to this destroy–rebuild process. Microbial infections could be self-limiting and promoted as an indispensable essential nutrition for the vast number of genes existing in the microorganisms. The transient nutrition surge resulting from the degradation of the self-destroyed cell debris coupled with the existing nutrition state in the patient may play an important role in the pathogenesis of COVID-19. Finally, a possible coping strategies to mitigate COVID-19, including vaccination is also discussed.

Radiation-induced brain injury (RIBI) is a debilitating sequela after radiotherapy to treat head and neck cancer, and 20 to 30% of patients with RIBI fail to respond to or have contraindications to the first-line treatments of bevacizumab and corticosteroids. Here, we reported a Simon’s minmax two-stage, single-arm, phase 2 clinical trial (NCT03208413) to assess the efficacy of thalidomide in patients with RIBI who were unresponsive to or had contraindications to bevacizumab and corticosteroid therapies. The trial met its primary endpoint, with 27 of 58 patients enrolled showing ≥25% reduction in the volume of cerebral edema on fluid-attenuated inversion recovery–magnetic resonance imaging (FLAIR-MRI) after treatment (overall response rate, 46.6%; 95% CI, 33.3 to 60.1%). Twenty-five (43.1%) patients demonstrated a clinical improvement based on the Late Effects Normal Tissues–Subjective, Objective, Management, Analytic (LENT/SOMA) scale, and 36 (62.1%) experienced cognitive improvement based on the Montreal Cognitive Assessment (MoCA) scores. In a mouse model of RIBI, thalidomide restored the blood-brain barrier and cerebral perfusion, which were attributed to the functional rescue of pericytes secondary to elevation of platelet-derived growth factor receptor β (PDGFRβ) expression by thalidomide. Our data thus demonstrate the therapeutic potential of thalidomide for the treatment of radiation-induced cerebral vasculature impairment.

Abstract Background: Multifocal hepatocellular carcinoma (MF-HCC) accounts for >40% of HCCs, demonstrating a poor prognosis than single primary HCCs. Characterizing the dynamic changes of mutation signature along with clonal evolution, quantifying intrahepatic metastatic timing, and investigating the genetic structure in the preneoplastic stage underlying different subtypes of MF-HCC are important for understanding their molecular evolution and developing a precision management strategy. Methods: We conducted whole-exome sequencing in 74 tumor samples from spatially distinct regions in 35 resected tumor lesions and adjacent non-cancerous tissues in 11 patients with synchronous MF-HCCs, 15 histologically confirmed preneoplastic lesions and six samples from peripheral blood mononuclear cell. We also used the previously published MF-HCC cohorts (n=9) as an independent validation dataset. Results: We classified MF-HCCs into three subtypes, including intrahepatic metastasis, multicentric occurrence, and mixed intrahepatic metastasis and multicentric occurrence. The dynamic changes in mutation signatures between tumor subclonal expansions demonstrated varied etiologies underlying the clonal progression in different MF-HCC subtypes, especially the contribution of aristolochic acid exposure decreased along with subclonal expansions. The clonal evolution in intrahepatic metastasis exhibited an early metastatic seeding that occurred at 10-4–0.01 cm3 in primary tumor volume, below the limitation in clinical detection. These findings were validated in another independent cohort. In addition, for multicentric occurrence MF-HCC, mutational footprints in the preneoplastic lesions revealed common preneoplastic arising clones, evidently being ancestors of different tumor sites. Conclusion: Our study comprehensively characterized the dynamic mutational signature, early metastatic timing, and common preneoplastic clones in multicentric occurrence that characterized the varied tumor clonal evolutionary history underlying different subtypes of MF-HCC, and provided important implications for optimizing personalized clinical management for MF-HCC.

Abstract Folate receptor (FR) expressing macrophages have been shown to play an integral role in a number of inflammatory diseases. (1) In this report, we characterize these FR+ macrophages and further investigate whether monocytes, the precursors to these macrophages, also express FR. We demonstrate that FR expression is observed on a subset of highly activated peritoneal and synovial macrophages, but not on other infiltrating immune cells or resident macrophages. We further find that a subset of human peripheral blood monocytes also expresses FR, albeit at a lower level than activated macrophages. Surface antigen characterization of the FR+ monocytes suggests markers characteristic of an inflammatory phenotype (CD14hiCD16), while the resident monocytes (CD14loCD16+) express few or no FR. Preliminary clinical data also suggest that the numbers of peripheral FR+ monocytes can be reduced by a folate-targeted immunotherapy. These results suggest that activated macrophages and inflammatory monocytes express a FR that can be targeted with folate-linked drugs without promoting drug uptake by non-activated macrophages and resident monocytes. 1. Xia W, Hilgenbrink AR, et al. Blood. 2008 Oct 24. [Epub ahead of print] This work was supported in part by a grant from Endocyte, Inc.

ADPKD is a genetic disorder with a molecular complexity that remains poorly understood. In this study, we sampled renal cells to construct a comprehensive and spatiotemporally resolved gene expression atlas in whole Pkd1 mutant polycystic mouse kidneys at single-cell resolution. We characterized cell diversity and identified novel collecting duct (CD) cell subtypes in cystic kidneys. We further found that CD cells appear to take different cell fate trajectories, and the first and the most important step might take place around day 14 in Pkd1 homozygous kidneys. After that day, increased numbers of CD cells showed highly proliferative and fibrotic characteristics, as detected in later-stage Pkd1 homozygous kidneys, both of which should contribute to cyst growth and renal fibrosis. With a newly developed modeling algorithm, called CellChat Explorer, we identify cell-to-cell communication networks mediated by the ligand receptor, such as MIF-CD44/CD74, in cystic kidneys, and confirm them via the expression patterns of ligands and receptors in four major cell types, which addresses the key question as to whether and how Pkd1 mutant renal epithelial cells affect their neighboring cells. The allele-specific gene expression profiles show that the secretion of cytokines by Pkd1 mutant epithelial cells may affect the gene expression profiles in recipient cells via epigenetic mechanisms, and vice versa. This study can be used to drive precision therapeutic targeting of ADPKD.