Publications by authors named "S Brem"
Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.
Methods: We developed a highly reproducible, personalized prognostication and clinical subgrouping system using machine learning (ML) on routine clinical data, MRI, and molecular measures from 2,838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).
Twisted transition metal dichalcogenide (TMD) bilayers exhibit periodic moiré potentials, which can trap excitons at certain high-symmetry sites. At small twist angles, TMD lattices undergo an atomic reconstruction, altering the moiré potential landscape via the formation of large domains, potentially separating the charges in-plane and leading to the formation of intralayer charge-transfer (CT) excitons. Here, we employ a microscopic, material-specific theory to investigate the intralayer charge-separation in atomically reconstructed MoSe-WSe heterostructures.
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- Immuno-oncology, particularly immune checkpoint inhibitors (ICIs), has significantly improved cancer treatment, yielding long-term responses in various cancers, including metastatic brain tumors, though primary brain tumors like glioblastomas still resist these therapies.
- The tumor microenvironment (TME) presents barriers like immune suppression and heterogeneity, suggesting that modifying this environment by targeting inflammatory cytokines, such as interleukin-6 (IL-6), could enhance treatment effectiveness.
- A proposed method involves using vagus nerve stimulation (VNS) to boost T cell immunity and reduce pro-inflammatory cytokines, potentially converting "cold" tumors into "hot" tumors, with future clinical trials needed to validate this approach's effectiveness in gliomas and other cancers
Background: It is imperative to differentiate true progression (TP) from pseudoprogression (PsP) in glioblastomas (GBMs). We sought to investigate the potential of physiologically sensitive quantitative parameters derived from diffusion and perfusion magnetic resonance imaging (MRI), and molecular signature combined with machine learning in distinguishing TP from PsP in GBMs in the present study.
Methods: GBM patients ( = 93) exhibiting contrast-enhancing lesions within 6 months after completion of standard treatment underwent 3T MRI.
Article Synopsis
- mRNA vaccines, initially developed for cancer control, have emerged as crucial tools in fighting infectious diseases, particularly during the COVID-19 pandemic.
- The review explores advancements in mRNA vaccine technology, including personalized vaccines showing promise against tough cancers like pancreatic cancer and melanoma, and considers their potential against difficult tumors like glioblastoma.
- A comprehensive roadmap is presented for using mRNA vaccines to enhance cancer immunotherapy, with a focus on glioblastoma treatments through innovative combinations of RNA science and immunotherapies.