Fundamental Sessions
Day 1, June 10（Wed.） 16:24-16:42 Room D (5F 511+512)
- 1D-O2-1624
Graphite Sheet-Assisted Laser Desorption/Ionization Mass Spectrometry (GRAMS) for Colorectal Cancer Diagnosis Based on Urinary Metabolites
(1Kyusyu Univ., 2Shinshu Univ., 3Fukuoka Dental College)
oAgnes Sekarjati1, Koki Sakashita1, Hinata Imamura1, Yusuke Tahara2, Hideto Sonoda1,3, Toshiro Matsui1, Mitsuru Tanaka1
The 5-year survival rate for colorectal cancer diagnosed at an early stage is markedly higher than that for advanced-stage disease, emphasizing the need for early diagnosis. In this study, we propose a non-invasive colorectal cancer diagnosis based on urinary metabolites using our previously developed graphite sheet-assisted laser desorption/ionization mass spectrometry (GRAMS) method. The metabolite profile of urine samples obtained from colorectal cancer and non-cancer patients was established, with a total of 825 MS signals. The metabolic distinction was assessed using orthogonal partial least squares-discriminant analysis (OPLS-DA), which successfully achieved clear discrimination between the colorectal cancer and non-cancer groups. Moreover, important features with significant alterations in colorectal cancer were extracted, and machine learning algorithms were built for a colorectal cancer diagnosis model, achieving a specificity and sensitivity of 86% and 100%, respectively. Further validation was performed by incorporating breast cancer urine samples into the developed colorectal cancer diagnosis algorithm, resulting in a specificity of 97.3%, demonstrating that the algorithm accurately diagnoses colorectal cancer and is capable of distinguishing between other cancers. In conclusion, a comprehensive urinary metabolite profile obtained with the GRAMS method can be used as a non-invasive diagnostic tool for colorectal cancer.