Department of Medical Cell BioPhysics, Faculty of Sciences and Technology, MIRA Research Institute, University of Twente.
Department of Health Technology & Services Research, University of Twente, Enschede, The Netherlands.
Ann Oncol. 2010 Sep;21(9):1851-1857. doi: 10.1093/annonc/mdq030. Epub 2010 Feb 10.
Presence of five or more circulating tumor cells (CTC) in patients with metastatic carcinomas is associated with poor survival. Although many objects positive for epithelial cell adhesion molecules and cytokeratin (EpCAM+CK+) are not counted as CTC, they may be an important predictor for survival. We evaluated the association between these objects and survival in patients with prostate cancer.
Included in this follow-up study were 179 patients with castration-resistant prostate cancer. CellSearch was used to isolate EpCAM+ objects and to stain DNA, cytokeratin and CD45. All EpCAM+CK+ objects were subdivided into seven classes on the basis of predefined morphological appearance in 63 independent samples. Association of each class with survival was studied using Kaplan-Meier and Cox regression analyses.
Each EpCAM+CK+CD45- class showed a strong association with overall survival (P < 0.001). This included small tumor microparticles (S-TMP), which did not require a nucleus and thus are unable to metastasize. A higher number of objects in any class was associated with decreased survival. A good prediction model included large tumor cell fragments (L-TCF), age, hemoglobin and lactate dehydrogenase. Models with S-TMP or CTC instead of L-TCF performed similarly.
EpCAM+CK+CD45- that do not meet strict definitions for CTC are strong prognostic markers for survival.
转移性癌患者中存在 5 个或更多循环肿瘤细胞(CTC)与预后不良相关。虽然许多上皮细胞黏附分子和细胞角蛋白阳性(EpCAM+CK+)的物体不被算作 CTC,但它们可能是生存的重要预测指标。我们评估了这些物体与前列腺癌患者生存之间的关系。
本随访研究纳入了 179 例去势抵抗性前列腺癌患者。使用 CellSearch 分离 EpCAM+物体,并对 DNA、细胞角蛋白和 CD45 进行染色。在 63 个独立样本的基础上,根据预先定义的形态外观将所有 EpCAM+CK+物体细分为七个类别。使用 Kaplan-Meier 和 Cox 回归分析研究每个类别的生存关联。
每个 EpCAM+CK+CD45-类均与总生存强烈相关(P<0.001)。这包括无法转移的小肿瘤微颗粒(S-TMP)。任何类别中物体数量的增加与生存时间的减少相关。一个良好的预测模型包括大肿瘤细胞碎片(L-TCF)、年龄、血红蛋白和乳酸脱氢酶。使用 S-TMP 或 CTC 替代 L-TCF 的模型表现相似。
不符合 CTC 严格定义的 EpCAM+CK+CD45-是生存的强烈预后标志物。