Background: This study aimed to perform a comprehensive gene expression analysis in patients with early-stage gastric cancer (EGC) to identify gene expression profiles specific to gastric cancer (GC) lesions. Methods: Biopsy specimens were collected from one EGC lesion and three background mucosal areas of patients scheduled for endoscopic submucosal dissection (ESD). Lesion-specific gene profiles in these four biopsies were analyzed using DNA microarrays. Patients with concurrent EGCs at the time of an ESD or a history of GC were classified into the multiple GC group (n= 26), while those without such histories were assigned to the single GC group (n= 74). Results: After excluding patients with heterogeneous factors, 55 patients were analyzed. Twenty-one differential genes exhibiting distinct mean expression profiles stratified by background gastric mucosa were extracted between the single and multiple GC groups. A scoring system constructed using these genes to calculate the weighted expression values for each patient, with an optimal cutoff value of −2.574, yielded a sensitivity and specificity of 85.7%. Conclusions: This study identified the different gene expression profiles between synchronous and metachronous multiple GCs and single GCs in patients with EGC. The developed scoring system has potential to distinguish between single and multiple GCs.
背景：本研究旨在对早期胃癌患者进行全面的基因表达分析，以识别胃癌病变特有的基因表达谱。方法：从计划接受内镜黏膜下剥离术的患者中，采集一处早期胃癌病灶及三处背景黏膜区域的活检标本。利用DNA微阵列技术分析这四份活检样本中病灶特异的基因表达谱。将ESD时同时存在早期胃癌或有胃癌病史的患者归类为多发性胃癌组（n=26），而无此类病史的患者则归为单发性胃癌组（n=74）。结果：排除存在异质性因素的患者后，共对55例患者进行分析。提取出21个在单发与多发胃癌组间、根据背景胃黏膜分层后具有显著差异平均表达谱的基因。基于这些基因构建评分系统，计算每位患者的加权表达值，以-2.574为最佳截断值，该系统的敏感性和特异性达到85.7%。结论：本研究明确了早期胃癌患者中同时性与异时性多发性胃癌与单发性胃癌之间的差异基因表达谱。所开发的评分系统具有区分单发与多发胃癌的潜力。
肿瘤(癌症)患者之家