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Medicine and Health Sciences Commons

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University of Texas Rio Grande Valley

Conference

HNSCC

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Full-Text Articles in Medicine and Health Sciences

In Silico Analysis Of C-Met Expression And Its Correlation With Metabolic Network In Head And Neck Cancer, Sibi Raj, Dhruv Kumar Sep 2023

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) …


Association Of Nutritional Status With Failure To Complete Planned Treatment In Patients With Hnscc- A Prospective Cohort Study In A Tertiary Cancer Centre In Northern India., Anshika Arora, Sunil Kumar Saini Sep 2023

Association Of Nutritional Status With Failure To Complete Planned Treatment In Patients With Hnscc- A Prospective Cohort Study In A Tertiary Cancer Centre In Northern India., Anshika Arora, Sunil Kumar Saini

Research Symposium

Background: To determine the association between Nutritional status of patient and the ability to complete all planned treatment in Head & Neck Squamous Cell Carcinoma(HNSCC).

Materials & Methods: This prospective cohort study was conducted at CRI India between 2018 and 2020. Patients diagnosed with HNSCC and planned for treatment were enrolled after written informed consent. Nutritional status was determined using- anthropometric measures and Subjective Global Assessment(SGA) scale before starting treatment. Patients were followed up for treatment details, complications and failure to complete planned treatment. Statistical analysis was performed using SPSS version 22. Data was analyzed using parametric and non-parametric …