Prognostic prediction using gene analysis of patient samples for patients with malignant melanoma of the head and neck treated with carbon ion therapy

2015 Fiscal Year Final Research Report

• Project/Area Number: 24791307
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Radiation science
• Research Institution: Kobe University
• Principal Investigator: Demizu Yusuke 神戸大学, 医学(系)研究科(研究院), 准教授 (50452496)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Keywords: 粒子線治療 / 悪性黒色腫 / 遺伝子解析 / 予後予測

Outline of Final Research Achievements

We developed a model which predicts prognosis before treatment by analyzing correlations between gene expressions of patient blood sample and prognostic data. Gene expressions were obtained by DNA microarray analysis of samples from 51 patients and 5 healthy volunteers, then Principal Component Scores (PCSs) of gene expressions were calculated using Principal Component Analysis. Correlations between prognostic data after carbon ion therapy and PCSs were tested using Spearman's rank correlation coefficient and developed a relationship between gene expressions and prognosis by a part of patient data. After that, we evaluated the model by the rest of patient data and confirmed its usefulness. If we can use this model in clinical practice, it will lead to not only improvement of treatment results but also effective use of carbon ion facilities.

Free Research Field

放射線腫瘍学