Chang Wei-Lun, Lai Wu-Wei, Kuo I-Ying, Lin Chien-Yu, Lu Pei-Jung, Sheu Bor-Shyang, Wang Yi-Ching
Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
J Gastroenterol. 2017 Jun;52(6):705-714. doi: 10.1007/s00535-016-1265-2. Epub 2016 Sep 26.
Prognosis of esophageal squamous cell carcinoma (ESCC) patients remains poor, and the chemoradiotherapy (CRT) applied to ESCC patients often failed. Therefore, development of biomarkers to predict CRT response is immensely important for choosing the best treatment strategy of an individual patient.
The methylation array and pyrosequencing methylation assay were performed in pre-treatment endoscopic biopsies to identify probes with differential CpG methylation levels between good and poor CRT responders in a cohort of 12 ESCC patients. Receiver operating characteristic curves and multivariate logistic regressions were conducted to build the risk score equation of selected CpG probes in another cohort of 91 ESCC patients to predict CRT response. Kaplan-Meier analysis was used to estimate progression-free survival or time-to-progression of patients predicted with good and poor CRT responses.
Nine differentially methylated CpG probes were identified to be associated with CRT response. A risk score equation comprising six CpG probes located in IFNGR2, KCNK4, NOTCH4, NPY, PAX6, and SOX17 genes were built. The risk score was derived from the sum of each probe multiplied by its corresponding coefficient. Such a risk score has a good prediction performance in discriminating poor CRT responders from good responders (AUC: 0.930). Moreover, poor CRT responders predicted by risk score significantly had poorer prognosis in terms of shorter progression-free survival and time-to-progression (p = 0.004-0.008).
We established a proof-of-concept CRT response prediction panel consisting of six-CpG methylation biomarkers in identifying ESCC patients who are at high risk of CRT failure and need intensive care.
食管鳞状细胞癌(ESCC)患者的预后仍然很差,应用于ESCC患者的放化疗(CRT)常常失败。因此,开发预测CRT反应的生物标志物对于为个体患者选择最佳治疗策略极为重要。
对12例ESCC患者队列的预处理内镜活检组织进行甲基化芯片和焦磷酸测序甲基化检测,以识别CRT反应良好者与反应不佳者之间CpG甲基化水平存在差异的探针。在另一组91例ESCC患者中进行受试者工作特征曲线分析和多因素逻辑回归分析,以建立所选CpG探针的风险评分方程,用于预测CRT反应。采用Kaplan-Meier分析评估预测CRT反应良好和反应不佳的患者的无进展生存期或疾病进展时间。
鉴定出9个差异甲基化的CpG探针与CRT反应相关。构建了一个风险评分方程,该方程包含位于IFNGR2、KCNK4、NOTCH4、NPY、PAX6和SOX17基因中的6个CpG探针。风险评分由每个探针与其相应系数相乘后的总和得出。这样的风险评分在区分CRT反应不佳者与反应良好者方面具有良好的预测性能(曲线下面积:0.930)。此外,通过风险评分预测的CRT反应不佳者在无进展生存期和疾病进展时间方面显著预后较差(p = 0.004 - 0.008)。
我们建立了一个概念验证性的CRT反应预测面板,该面板由6个CpG甲基化生物标志物组成,用于识别有CRT失败高风险且需要重症监护的ESCC患者。