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Poster Presentations
Day 3, June 24（Tue.）
Room P (Maesato East, Foyer, Ocean Wing)
- 3P-AM-29
Colorectal Cancer Diagnosis by Urine Metabolic Profiling, Using Graphite Sheet-Assisted Laser Desorption/Ionization Mass Spectrometry (GS-assisted LDI-MS)
(1Kyushu Univ., 2Fukuoka Dental College, 3Shinshu Univ., 4Panasonic)
oAgnes Sekarjati1, Hinata Imamura1, Masataka Oeki1, Hideto Sonoda1,2, Yusuke Tahara3, Tomotsugu Rikitake1, Ryou Kuwabara4, Shinji Ishitani4, Ryosuke Kaneko1, Toshiro Matsui1, Mitsuru Tanaka1
The diagnosis of colorectal cancer, as the third most common cancer incidence, requires an invasive method such as endoscopic examination as the standard clinical diagnosis method, which could lead to physical and physiological burdens for patients. In this study, we aim to develop a non-invasive diagnosis method of colorectal cancer through urine metabolic profiling obtained by our previously established graphite sheet (GS)-assisted laser desorption/ionization mass spectrometry (LDI-MS). GS-assisted LDI-MS exhibited excellent performances to detect small molecular compounds from extremely low aliquot (0.5 μL) of urine samples, with minimum background interference compared to conventional matrix. A total of 585 MS peaks were analyzed using orthogonal partial least square-discriminant analysis (OPLS-DA), resulting in a clear separation between the two groups. Furthermore, five MS peaks for potential metabolite biomarkers with significant alterations in colorectal cancer were selected and successfully discriminated the two groups with area under the curve (AUC) values reaching ≥ 0.990 and ≥ 0.988, in the training and test sets, respectively. In conclusion, our study demonstrates that urine metabolic profiling using the present GS-assisted LDI-MS method can be used as a non-invasive diagnosis for colorectal cancer.