Huang Ming-Yii, Wu Chan-Han, Huang Chun-Ming, Chung Fu-Yen, Huang Ching-Wen, Tsai Hsiang-Lin, Chen Chin-Fan, Lin Shiu-Ru, Wang Jaw-Yuan
Department of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan ; Department of Radiation Oncology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan ; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Department of Medical Research, Fooyin University Hospital, Pingtung County 928, Taiwan.
Biomed Res Int. 2013;2013:931028. doi: 10.1155/2013/931028. Epub 2013 Dec 23.
This study is to investigate multiple chemotherapeutic agent- and radiation-related genetic biomarkers in locally advanced rectal cancer (LARC) patients following fluoropyrimidine-based concurrent chemoradiotherapy (CCRT) for response prediction. We initially selected 6 fluoropyrimidine metabolism-related genes (DPYD, ORPT, TYMS, TYMP, TK1, and TK2) and 3 radiotherapy response-related genes (GLUT1, HIF-1α, and HIF-2α) as targets for gene expression identification in 60 LARC cancer specimens. Subsequently, a high-sensitivity weighted enzymatic chip array was designed and constructed to predict responses following CCRT. After CCRT, 39 of 60 (65%) LARC patients were classified as responders (pathological tumor regression grade 2 ~ 4). Using a panel of multiple genetic biomarkers (chip), including DPYD, TYMS, TYMP, TK1, and TK2, at a cutoff value for 3 positive genes, a sensitivity of 89.7% and a specificity of 81% were obtained (AUC: 0.915; 95% CI: 0.840-0.991). Negative chip results were significantly correlated to poor CCRT responses (TRG 0-1) (P = 0.014, hazard ratio: 22.704, 95% CI: 3.055-235.448 in multivariate analysis). Disease-free survival analysis showed significantly better survival rate in patients with positive chip results (P = 0.0001). We suggest that a chip including DPYD, TYMS, TYMP, TK1, and TK2 genes is a potential tool to predict response in LARC following fluoropyrimidine-based CCRT.
本研究旨在调查局部晚期直肠癌(LARC)患者在接受基于氟嘧啶的同步放化疗(CCRT)后,多种化疗药物和放疗相关的基因生物标志物,以进行疗效预测。我们最初选择了6个与氟嘧啶代谢相关的基因(DPYD、ORPT、TYMS、TYMP、TK1和TK2)以及3个与放疗反应相关的基因(GLUT1、HIF-1α和HIF-2α)作为60例LARC癌症标本中基因表达鉴定的靶点。随后,设计并构建了一种高灵敏度加权酶芯片阵列,以预测CCRT后的反应。CCRT后,60例LARC患者中有39例(65%)被归类为反应者(病理肿瘤退缩分级为2至4级)。使用包括DPYD、TYMS、TYMP、TK1和TK2在内的多种基因生物标志物(芯片)组合,在3个阳性基因的临界值下,灵敏度为89.7%,特异性为81%(AUC:0.915;95%CI:0.840 - 0.991)。芯片结果为阴性与CCRT反应不佳(TRG 0 - 1)显著相关(P = 0.014,多变量分析中风险比:22.704,95%CI:3.055 - 235.448)。无病生存分析显示,芯片结果为阳性的患者生存率显著更高(P = 0.0001)。我们认为,包含DPYD、TYMS、TYMP、TK1和TK2基因的芯片是预测LARC患者接受基于氟嘧啶的CCRT后反应的潜在工具。