State Key Laboratory of Molecular Oncology, Cancer Institute Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, People's Republic of China.
Pathol Oncol Res. 2012 Jul;18(3):563-9. doi: 10.1007/s12253-011-9478-4. Epub 2011 Nov 23.
The purpose of this study was to evaluate the predictive ability of PTGIS for liver metastasis. Protein expression of PTGIS was analyzed on tissue microarray consisting of 117 CRC cases with liver metastasis (M1) and 104 cases of CRC without liver metastasis at least 5 years after resection of primary CRC (M0) by immunohistochemistry. Expression of PTGIS in 147 of 221 of primary lesions exhibited positive staining. Moreover, the PTGIS expression was significantly higher in CRC-M1 than CRC-M0 group. More importantly, the 87% (20/23) heterochronous metastatic cases showed positive staining for PTGIS. Collecting the primary and liver metastatic tumor samples from the same colon cancer patients, we tested the expression of PTGIS and revealed that the expression level of PTGIS in the hepatic metastases was noticeably higher than in the matched primary colon cancer tissues from the same patient in 9 out of 16 cases examined. Logistic regression analysis indicated that the expression of PTGIS and lymph node involvement were risk factors in colon cancer liver metastasis independent of the other variables. In leave-one-out validation model, the combination of PTGIS and lymph node involvement yielded the 89.7% satisfactory sensitivity and 83% specificity for detection of hepatic metastasis. Kaplan-Meier survival analysis revealed a correlation between higher PTGIS expression levels and shorter overall survival times. In conclusion, our results suggest that PTGIS combined with lymph node involvement may be used as accurate predictors of liver metastasis in colorectal cancer.
本研究旨在评估 PTGIS 对肝转移的预测能力。通过免疫组织化学方法，对包含 117 例有肝转移（M1）和 104 例至少在原发性 CRC 切除后 5 年内无肝转移（M0）的 CRC 患者的组织微阵列进行了 PTGIS 蛋白表达分析。在 221 例原发性病变中，有 147 例表现出阳性染色。此外，CRC-M1 组的 PTGIS 表达明显高于 CRC-M0 组。更重要的是，23 例异时转移病例中有 87%（20/23）显示 PTGIS 阳性染色。收集来自同一结肠癌患者的原发性和肝转移肿瘤样本，我们检测了 PTGIS 的表达，并在 16 例检查的病例中发现 9 例肝转移中的 PTGIS 表达水平明显高于同一患者的匹配原发性结肠癌组织。逻辑回归分析表明，PTGIS 的表达和淋巴结受累是结肠癌肝转移的独立危险因素，不受其他变量的影响。在留一法验证模型中，PTGIS 和淋巴结受累的组合对检测肝转移的敏感性为 89.7%，特异性为 83%。Kaplan-Meier 生存分析显示，较高的 PTGIS 表达水平与较短的总生存时间相关。总之，我们的结果表明，PTGIS 联合淋巴结受累可能是结直肠癌肝转移的准确预测因子。
