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首页> 外文期刊>International journal of oncology >Prediction of the response to chemotherapy in advanced esophageal cancer by gene expression profiling of biopsy samples
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Prediction of the response to chemotherapy in advanced esophageal cancer by gene expression profiling of biopsy samples

机译:通过活检样本的基因表达谱分析预测晚期食管癌对化疗的反应

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To improve the prognosis of advanced esophageal cancer, neoadjuvant chemotherapy (NACT) followed by surgery is a promising treatment strategy. NACT has been shown to improve the prognosis of responders. However, non-responders not only suffer from side-effects, but they also lose precious time to take advantage of other possible treatments. Therefore, it is crucial to establish a reliable method that allows prediction of response before chemotherapy. A biopsy sample can provide valuable information on the biological characteristics of an individual esophageal cancer, which can affect chemosensitivity. Comprehensive gene expression profiling (GEP) using oligonucleotide microarray covering 30,000 human probes was performed in 50 pretreatment endoscopic biopsy samples from 25 patients with esophageal squamous cell cancer (ESCC) who underwent cisplatin-based chemotherapy (two samples per patient). Chemotherapeutic responses were evaluated by the reduction rate of the tumor area on CT scans. Responders were defined as patients with reduction rates of ≥50% and non-responders were defined as patients with <50% decrease. The diagnostic system, that predicts responses to chemotherapy, was constructed with the 199 most informative genes, and showed 82% of accuracy. Furthermore, the predictive performance of this system was confirmed using an additional ten samples with an accuracy of 80%. This study shows that GEP of pretreatment ESCC biopsy samples has the potential to predict responses to chemotherapy.
机译:为了改善晚期食管癌的预后,新辅助化疗(NACT)继之以手术是一种有前途的治疗策略。 NACT已显示可改善反应者的预后。然而,无反应者不仅遭受副作用,而且还浪费宝贵的时间来利用其他可能的治疗方法。因此,建立可靠的方法以预测化疗前的反应至关重要。活检样本可以提供有关个别食道癌生物学特性的有价值信息,这些信息可能会影响化学敏感性。在来自25例接受顺铂化疗的食管鳞状细胞癌(ESCC)患者的50例预处理内窥镜活检样品中,使用覆盖30,000种人类探针的寡核苷酸微阵列进行了全面的基因表达谱分析(GEP)(每位患者两个样品)。通过CT扫描上肿瘤区域的减少率来评估化学疗法的反应。缓解率定义为≥50%的患者,无缓解率定义为≤50%的患者。该诊断系统可预测199例信息最丰富的基因,可预测对化学疗法的反应,并显示82%的准确性。此外,使用另外十个样本以80%的精度确认了该系统的预测性能。这项研究表明,预处理ESCC活检样品的GEP有潜力预测对化学疗法的反应。

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