Vu Thi Kim Ngoc
Center Of Analytical Services And
Experimentation Of HCMC (CASE)
Vietnam
Title: Statistical models for colorectal cancer screening using urine NMR spectra
Biography
Biography: Vu Thi Kim Ngoc
Abstract
Colorectal cancer (CRC) is one of the most common types of cancer. Detecting CRC at an early stage improves survival rates dramatically. Statistical models for Colorectal Cancer (CRC) identification was built by metabolomics, based on the 1H NMR data of urine. Result of principle component analysis (PCA) and partial least square (PLS) on urine NMR data of 64 cases and 76 controls, collected at MEDIC Centre (HCMC-Vietnam). Specific differences have been observed, in particular in the spectral range corresponding to some metabolites. This analysis was to compare and verify important metabolic alterations between CRC patients and healthy persons and would be extended to the diagnosis of colorectal cancer based on the profile of common and abundant metabolites. Key word: colorectal cancer, metabolomics, 1H NMR, multivariate statistics, PCA, PLS.