Publications by authors named "P N Harter"
Background: Temporal lobe epilepsy (TLE) is the most common form of drug-resistant epilepsy, often associated with hippocampal sclerosis (HS), which involves selective neuronal loss in the Cornu Ammonis subregion 1 CA1 and CA4 regions of the hippocampus. Granule cells show migration and mossy fiber sprouting, though the mechanisms remain unclear. Microglia play a role in neurogenesis and synaptic modulation, suggesting they may contribute to epilepsy.
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- Ovarian cancer patients with Homologous Recombination Deficiency (HRD) may benefit from PARP inhibitor therapy after platinum chemotherapy, and predicting this benefit through whole slide images (WSIs) could provide a quicker and less costly alternative to molecular tests.
- A Deep Learning (DL) model was trained on H&E stained WSIs using a specific HRD ground truth, and it was tested on a separate cohort to see how well it predicted HRD status and the benefit of olaparib treatment.
- Although the model showed potential, with a significant improvement in progression-free survival (PFS) for HRD positive patients treated with PARP inhibitors, its overall prediction accuracy was lower than desired, indicating that further
Background: Giant cell (gc)-enriched glioblastoma (gcGB) represents a distinct histological variant of isocitrate dehydrogenase wild-type adult-type glioblastoma with notable enlarged mono- or multinuclear tumor cells. While some studies suggest a survival advantage for gcGB patients, the underlying causes remain elusive. GcGBs are associated with TP53 mutations, and gcs were shown to accumulate DNA double-strand breaks and show deficient mitosis, potentially triggering cellular senescence programs.
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- The study investigates the use of cell-free DNA (cfDNA) from cerebrospinal fluid (CSF) as a less invasive alternative to brain biopsies for diagnosing brain tumors and addressing tumor heterogeneity.
- A total of 33 CSF samples were collected from 30 patients, and shallow whole-genome sequencing was performed, revealing significant somatic copy number aberrations (SCNAs) in brain tumor patients' cfDNA.
- The findings suggest that cfDNA analysis can effectively identify relevant genomic alterations, offering insights into tumor evolution and heterogeneity, thus enhancing diagnostic accuracy for CNS cancers.