Department of Gastroenterology, Sir Runrun Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China ; Institute of Gastroenterology, Zhejiang University, Hangzhou, China.
PLoS One. 2013 Dec 3;8(12):e81561. doi: 10.1371/journal.pone.0081561. eCollection 2013.
Gastric cancer (GC) is associated with high mortality rates and an unfavorable prognosis at advanced stages. In addition, there are no effective methods for diagnosing gastric cancer at an early stage or for predicting the outcome for the purpose of selecting patient-specific treatment options. Therefore, it is important to investigate new methods for GC diagnosis.
METHODOLOGY/PRINCIPAL FINDINGS: To facilitate its use in a diagnostic setting, a group of 74 genes with diagnostic and prognostic information was translated into a customized microarray containing a reduced set of 1,042 probes suitable for high throughput processing. In this report, we demonstrate for the first time that the custom mini-array can be used as a reliable diagnostic tool in gastric cancer. With an AUC value of 0.565 (95% CI 0.305-0.825) indicating a perfect test, the sensitivity and specificity of diagnosis from the ROC curve were calculated to be 70% and 80%, respectively.
CONCLUSIONS/SIGNIFICANCE: The data clearly demonstrate the reproducibility and robustness of the small custom-made microarray. The array is an excellent tool for classifying and predicting the outcome of disease in gastric cancer patients.
胃癌（GC）死亡率高，晚期预后不良。此外，目前尚无有效的早期胃癌诊断方法，也无法预测预后以选择个体化的治疗方案。因此，探索胃癌的新诊断方法十分重要。
方法/主要发现：为了便于在诊断环境中使用，一组具有诊断和预后信息的 74 个基因被翻译成一个定制的微阵列，其中包含 1042 个适合高通量处理的简化探针。本报告首次证明，定制的微型阵列可作为胃癌可靠的诊断工具。ROC 曲线的 AUC 值为 0.565（95%CI 0.305-0.825），表明该测试为完美测试，诊断的灵敏度和特异性分别为 70%和 80%。
结论/意义：数据清楚地表明了小型定制微阵列的可重复性和稳健性。该阵列是分类和预测胃癌患者疾病结局的优秀工具。
