Page 158 - D. Cancer biology

[D. Cancer biology-101]

Application of methylation sensitive high-resolution melting

analysis for prediction of prognosis in liver cancer patients

Si-Cho Kim¹, Dongwoon Han³, Jeongsil Ha³, Young-Joon Kim¹˙²˙*

¹Integrated OMICS for Biomedical Science, Yonsei University, Seoul 03722, Korea, ²Biochemistry, Yonsei University,

Seoul 03722, Korea, ³Bioscience and Biotechnology, Sejoing University, Seoul 05006, Korea

Primary liver cancer is the sixth most common cancer and the second leading cause of cancer-related mortality. The
majority of histologic types of liver cancer are hepatocellular carcinoma (HCC), accounting for approximately 80%

of liver cancer patients. As a cause of HCC various risk factor such as cirrhosis, obesity, viral hepatitis, age, gender

and environmental factor exist and the tendency of concentration in East Asia and China gas been confirmed. If the
recurrence of liver cancer after surgery, it has ben found that the patient survival rate is relatively deteriorated.
Follow-up and appropriate management of this prognosis will help improve the patient survival rate. We conducted

a study to predict the prognosis of patients by applying the previously discovered HCC prognostic marker to
methylation sensitive high-resolution melt (MS-HRM) analysis based on methylation independent PCR. As a result,

the difference in methylation status between the HCC patient group with recurrence and without recurrence was
confirmed. This method shows results that can be used clinically with efficient time and cost compared to qMSP

and pyrosequncing techniques.