A5013332126- Cellular Mechanics and Interactions
- Extracellular vesicles in disease
- Cancer Cells and Metastasis
- Single-cell and spatial transcriptomics
- Biotechnology and Related Fields
- 3D Printing in Biomedical Research
- Microtubule and mitosis dynamics
- Gene expression and cancer classification
- Health Systems, Economic Evaluations, Quality of Life
- Pharmaceutical Economics and Policy
- Erythrocyte Function and Pathophysiology
- Cancer-related molecular mechanisms research
- Cell Adhesion Molecules Research
- Cancer Genomics and Diagnostics
Vanderbilt University
2022-2024
Tennessee Oncology
2023-2024
During intravasation, cancer cells cross the endothelial barrier and enter circulation. Extracellular matrix stiffening has been correlated with tumor metastatic potential; however, little is known about effects of stiffness on intravasation. Here, we utilize in vitro systems, a mouse model, specimens from patients breast cancer, RNA expression profiles The Cancer Genome Atlas Program (TCGA) to investigate molecular mechanism by which promotes cell Our data show that heightened increases...
Advancements in spatial transcriptomics (ST) have enabled an in-depth understanding of complex tissues by quantifying gene expression at spatially localized spots. Several notable clustering methods been introduced to utilize both and transcriptional information the analysis ST datasets. However, data quality across different sequencing techniques types datasets influence performance benchmarks. To harness context profile data, we developed a graph-based, multi-stage framework for robust...
Cancer cell migration is highly heterogeneous, and the migratory capability of cancer cells thought to be an indicator metastatic potential. It becoming clear that a does not have inherently metastasize, with weakly often found metastatic. However, mechanism through which escape from primary tumor remains unclear. Here, utilizing phenotypically sorted human breast cells, we demonstrate disseminate via communication stromal cells. While are capable single migration, rely on cell-cell...
424 Background: With the ever-expanding landscape of precision medicine, there is an enormous amount biomarker information that oncologists are expected to meaningfully process and utilize for patient care. The relevance this can change over time as new FDA approvals come in or a prognostic treatment guidelines. Unfortunately, PDF reports patient’s chart do not with so risk actionable going unnoticed. Leveraging raw data from sequencing companies, we were able identify patients who eligible...
448 Background: As an increasing number of biomarker-driven therapies get approved, the burden on oncology provider to keep track approved has increased. Further, most genomic findings are trapped in unstructured documents and not easily searchable within electronic medical record (EMR). We circumvented these issues a pilot study by creating physician alerts that highlight actionable institutional trials, making them accessible providers. Methods: Provider Messaging for Precision Treatments...