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Full-Text Articles in Medicine and Health Sciences
Project: Center For Diabetes And Metabolism [Centro De Diabetes Y Metabolismo: Cedimet], A Collaborative Dream Comes True, Claudia Munguia-Cisneros, Edith Cantu, Carlos Ramirez-Pfeiffer, Adriana L. Perales-Torres, Esperanza M. Garcia-Oropeza, Estrella Y. Martinez-Lopez, Alvaro Diaz-Badillo, Joselin Hernandez-Ruiz, Alberto O. Chavez-Velazquez, Lucia M. Perez-Navarro, Beatriz Tapia, Juan C. Lopez-Alvarenga
Project: Center For Diabetes And Metabolism [Centro De Diabetes Y Metabolismo: Cedimet], A Collaborative Dream Comes True, Claudia Munguia-Cisneros, Edith Cantu, Carlos Ramirez-Pfeiffer, Adriana L. Perales-Torres, Esperanza M. Garcia-Oropeza, Estrella Y. Martinez-Lopez, Alvaro Diaz-Badillo, Joselin Hernandez-Ruiz, Alberto O. Chavez-Velazquez, Lucia M. Perez-Navarro, Beatriz Tapia, Juan C. Lopez-Alvarenga
Research Symposium
Reynosa urban area has 690,000 inhabitants (384,000 adults >20 years old), 35% moved from other states. The use of cell phones is in 81%, personal computer or laptop with 29%. The prevalence of overweight is 39%, obesity 36%, and T2D 13%. The expected adult population with T2D is 49,900 individuals. The are 5 clinics prepared to attend T2D, and few with specialized personnel.
The CeDiMet is a collaborative clinic involving health personnel and researchers from the Universidad Mexico Americana del Norte, Universidad Autonoma de Tamaulipas, Hospital General de Mexico “Dr. Eduardo Liceaga”, University of Texas Rio Grande Valley, and the …
In Silico Analysis Of C-Met Expression And Its Correlation With Metabolic Network In Head And Neck Cancer, Sibi Raj, Dhruv Kumar
In Silico Analysis Of C-Met Expression And Its Correlation With Metabolic Network In Head And Neck Cancer, Sibi Raj, Dhruv Kumar
Research Symposium
Background: Head and Neck Squamous Cell Carcinoma (HNSCC) is strongly associated with metabolic dysregulations. c-Met activation is important for high glucose induced acquisition of mesenchymal phenotype, survival under high glucose stress in HNSCC cells. Here, we utilise the In silico approach to analyse the c-Met expression in the head and neck cancer data extracted from The Cancer Genome Atlas (TCGA) database and its strong correlation with genes associated with cancer cell metabolism.
Methods: In the current study, our investigations were performed using different bioinformatics tools and databases, including GEPIA (a webserver which extracts data from the Cancer Genome Atlas (TCGA) …