A5016994967- Glioma Diagnosis and Treatment
- Mathematical Biology Tumor Growth
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Brain Metastases and Treatment
- Immune cells in cancer
- Cellular Mechanics and Interactions
- Advanced MRI Techniques and Applications
- Sex and Gender in Healthcare
- Estrogen and related hormone effects
- Cell Image Analysis Techniques
- Hormonal Regulation and Hypertension
- Cancer Genomics and Diagnostics
- Ferroptosis and cancer prognosis
- MRI in cancer diagnosis
- Hematopoietic Stem Cell Transplantation
- Cancer Cells and Metastasis
- Functional Brain Connectivity Studies
- Radiopharmaceutical Chemistry and Applications
- Extracellular vesicles in disease
- Neuroinflammation and Neurodegeneration Mechanisms
- Barrier Structure and Function Studies
- Cancer, Hypoxia, and Metabolism
- Gene Regulatory Network Analysis
- Atomic and Subatomic Physics Research
East Tennessee State University
2024
Arizona Oncology
2022
Mayo Clinic in Florida
2016-2021
Mayo Clinic Hospital
2017-2020
Neurological Surgery
2017-2020
WinnMed
2016-2019
Mayo Clinic in Arizona
2017-2019
University of Washington
2008-2017
Columbia University
2017
Columbia University Irving Medical Center
2017
Anaplastic gliomas, the most common and malignant of primary brain tumors, frequently contain activating mutations amplifications in promigratory signal transduction pathways. However, targeting these pathways with individual inhibitors does not appreciably reduce tumor invasion, because are redundant; blockade any one pathway can be overcome by stimulation another. This implies that a more effective approach would to target component at which converge. In this study, we have investigated...
Glioblastomas are aggressive primary brain tumors known for their inter- and intratumor heterogeneity. This disease is uniformly fatal, with heterogeneity the major reason treatment failure recurrence. Just like nature vs nurture debate, can arise from intrinsic or environmental influences. Whilst it impossible to clinically separate observed behavior of cells context, using a mathematical framework combined multiscale data gives us insight into relative roles variation different sources. To...
Currently available glioma treatments remain unsuccessful at prolonging disease-free remission. Recent evidence suggests that tumour recruitment of glial progenitor cells by platelet-derived growth factor (PDGF) may play a role in the development and progression these tumours. Building upon our recent experimental results previous proliferation-invasion (PI) reaction-diffusion model, this study, we created proliferation-invasion-recruitment (PIR) model includes mechanism for cell...
Although new neurons are produced in the subventricular zone (SVZ) of adult mammalian brain, fewer functional with increasing age. The age-related decline neurogenesis has been attributed to a decreased pool neural progenitor cells (NPCs), an increased rate cell death, and inability undergo neuronal differentiation develop synapses. time between mitotic events also hypothesized increase age, but this not directly investigated. Studying primary-cultured NPCs from young aged mouse forebrain,...
Microglia are a major cellular component of gliomas, and abundant in the centre tumour at infiltrative margins. While glioma is notoriously disease, dynamics microglia migratory patterns have not been well characterized. To investigate behaviour cells edge, we performed two-colour time-lapse fluorescence microscopy brain slices generated from platelet-derived growth factor-B (PDGFB)-driven rat model glioma, which were each labelled with one two different fluorescent markers. We used...
Background Temozolomide (TMZ) has been the standard-of-care chemotherapy for glioblastoma (GBM) patients more than a decade. Despite this long time in use, significant questions remain regarding how best to optimize TMZ therapy individual patients. Understanding relationship between response and factors such as number of adjuvant cycles, patient age, sex, image–based tumor features, might help predict which GBM would benefit most from TMZ, particularly those whose tumors lack...
Background: The metabotropic glutamate type 5 (mGlu5) receptor has emerged as a potential target for the treatment of psychosis that is suggested to have greater efficacy than antipsychotic medications are currently utilized. Aims: This study sought elucidate mechanisms therapeutic action associated with modulation mGlu5 in disordered system marked by dopamine dysfunction. We further explored epigenetic contributing heritable transmission psychosis-like phenotype novel model drug abuse...
<h2>Abstract</h2> Consensus guidelines recommend various screening examinations for survivors after allogeneic hematopoietic cell transplantation (HCT), but how often these detect abnormal findings is unknown. We reviewed the medical records of 118 patients who received comprehensive, standardized evaluations at 1 year HCT Fred Hutchinson Cancer Research Center/Seattle Care Alliance. Abnormal were common, including moderate to severe pulmonary dysfunction (16%), fasting hyperlipidemia (56%),...
Abstract Agent-based models are valuable in cancer research to show how different behaviors emerge from individual interactions between cells and their environment. However, calibrating such can be difficult, especially if the parameters that govern underlying hard measure experimentally. Herein, we detail a new method converge on parameter sets fit an agent-based model multiscale data using of glioblastoma as example.
Many drugs investigated for the treatment of glioblastoma (GBM) have had disappointing clinical trial results. Efficacy these agents is dependent on adequate delivery to sensitive tumor cell populations, which limited by blood-brain barrier (BBB). Additionally, heterogeneity can lead subpopulations cells with different sensitivities anti-cancer drugs, further impacting therapeutic efficacy. Thus, it may be important evaluate extent BBB limitations and heterogeneous sensitivity each...
Contrast-enhanced MRI (CE-MRI) guides first-line therapies (surgery, radiation) for glioblastoma (GBM), yet its accuracy remains limited. CE-MRI delineates enhancing bulk tumor but poorly characterizes non-enhancing invasive in surrounding T2W abnormality. Previous studies have explored advanced to quantify cell density abnormality, although absence of validation and conflicting results across hindered clinical translation. In this study, we build cross-validate a predictive model density,...
Abstract Although glioblastoma is a fatal primary brain cancer with short median survival of 15 months, small number patients survive more than 5 years after diagnosis; they are known as extreme survivors (ES). Due to their rarity, very little about what differentiates these outliers from other patients. For the purpose identifying unknown drivers survivorship in glioblastoma, we developed ENDURES consortium (ENvironmental Dynamics Underlying Responsive Extreme Survivors glioblastoma). This...
Abstract Temozolomide (TMZ) has been the standard-of-care chemotherapy for glioblastoma (GBM) patients more than a decade. Despite this long time in use, significant questions remain regarding how best to optimize TMZ therapy individual patients. Understanding relationship between response and factors such as number of adjuvant cycles, patient age, sex, image-based tumor features, might help predict which GBM would benefit most from TMZ, particularly those whose tumors are not MGMT...
Abstract Many drugs investigated for the treatment of glioblastoma (GBM) have had poor clinical outcomes, as their efficacy is dependent on adequate delivery to sensitive tumor cell populations, which limited by blood-brain barrier (BBB). Further complicating evaluation therapeutic efficacy, tumors can become resistant anti-cancer drugs, and it be difficult gauge extent BBB limitations resistance each contribute a drug’s failure. To address this question, we developed minimal mathematical...
Conflicting information in the training data is responsible for most of problems experienced by backpropagation algorithm during network training. The self-partitioning neural (SPNN) approach has been shown to be effective overcoming ill effects learning conflict that exists among patterns a given class. Intra-class present reduced using divide-and-conquer approach. A cluster seeking used partition according metric. Simulation studies have verified SPNN distinct advantages over conventional...
Clinical neuro-oncology relies on the hyperintensity of gadolinium (Gd) contrast agent magnetic resonance imaging (MRI) in tumor regions to confirm that blood-brain barrier (BBB) is locally compromised. While extent Gd may indicate systemically administered drug being distributed regions, little known about how a and it relate hyperintensity. Additionally, glioblastomas (GBMs) are diffusely invading neoplasms with significant fraction overall cells spread peripheral abnormality, which raises...