Departments of Surgery, University of California, Los Angeles, Los Angeles, CA.
Department of Molecular, Cellular, and Integrative Physiology, University of California, Los Angeles, Los Angeles, CA.
Liver Transpl. 2018 Jul;24(7):946-960. doi: 10.1002/lt.25062.
Current clinicopathologic staging systems and serum biomarkers poorly discriminate tumor biology in hepatocellular carcinoma (HCC), with high recurrence rates following curative-intent surgical resection and liver transplantation (LT). Identification of accurate biomarkers for improved prognostication and treatment selection is a critical unmet need. We sought to develop a novel "liquid-biopsy" assay capable of detecting HCC circulating tumor cells (CTCs) and characterizing phenotypic subpopulations with prognostic significance. Using HCC cell lines, a tissue microarray, and human blood samples, an antibody cocktail targeting the cell-surface markers asialoglycoprotein receptor (ASGPR), glypican-3, and epithelial cell adhesion molecule was optimized for HCC CTC capture using the NanoVelcro CTC Assay. The ability of HCC CTCs and vimentin (VIM)-positive CTCs (a subpopulation expressing an epithelial-to-mesenchymal phenotype) to accurately discriminate tumor stage, recurrence, progression, and overall survival (OS) was evaluated in a prospective study of 80 patients. Multimarker capture detected greater numbers of CTCs than any individual antibody alone for both cell line and patient samples (P < 0.001). HCC CTCs were identified in 59/61 (97%) patients, and HCC (median, 6 CTCs) and non-HCC patients (median, 1 CTC; area under the receiver operating characteristic curve [AUROC] = 0.92; P < 0.001; sensitivity = 84.2%; specificity = 88.5%) were accurately discriminated. VIM-positive CTCs accurately discriminated early-stage, LT eligible patients (median, 0 CTCs) from locally advanced/metastatic, LT ineligible patients (median, 6 CTCs; AUROC = 0.89; P = 0.001; sensitivity = 87.1%; specificity = 90.0%), and predicted OS for all patients (hazard ratio [HR], 2.21; P = 0.001), and faster recurrence after curative-intent surgical or locoregional therapy in potentially curable early-stage HCC (HR, 3.14; P = 0.002). In conclusion, we developed a novel multimarker CTC enrichment assay that detects HCC CTCs with high efficiency and accuracy. A phenotypic subpopulation of VIM-positive CTCs appears to signify the presence of aggressive underlying disease and occult metastases and may have important implications for treatment selection. Liver Transplantation 24 946-960 2018 AASLD.
目前的临床病理分期系统和血清生物标志物在肝细胞癌 (HCC) 中对肿瘤生物学的区分能力较差,根治性手术切除和肝移植 (LT) 后的复发率很高。识别准确的生物标志物以改善预后和治疗选择是一个关键的未满足需求。我们试图开发一种新的“液体活检”检测方法,能够检测 HCC 循环肿瘤细胞 (CTC) 并对具有预后意义的表型亚群进行特征描述。
使用 HCC 细胞系、组织微阵列和人类血液样本,我们优化了一种针对细胞表面标志物去唾液酸糖蛋白受体 (ASGPR)、高尔基糖蛋白 3 和上皮细胞黏附分子的抗体鸡尾酒,用于 HCC CTC 的 NanoVelcro CTC 检测。
在对 80 例患者进行的前瞻性研究中,评估了 HCC CTC 及其波形蛋白 (VIM)-阳性 CTC(表达上皮到间充质表型的亚群)准确区分肿瘤分期、复发、进展和总生存期 (OS) 的能力。
多标志物捕获检测到的 CTC 数量多于任何一种单独抗体在细胞系和患者样本中的数量 (P < 0.001)。在 61/61 (97%)的患者中检测到 HCC CTC,HCC (中位数,6 个 CTC) 和非 HCC 患者 (中位数,1 个 CTC;ROC 曲线下面积 [AUROC] = 0.92;P < 0.001;敏感性 = 84.2%;特异性 = 88.5%) 能够准确区分。VIM 阳性 CTC 能够准确区分早期、LT 可接受的患者(中位数,0 个 CTC)与局部晚期/转移性、LT 不可接受的患者(中位数,6 个 CTC;AUROC = 0.89;P = 0.001;敏感性 = 87.1%;特异性 = 90.0%),并预测所有患者的 OS(风险比 [HR],2.21;P = 0.001),以及在潜在可治愈的早期 HCC 中接受根治性手术或局部区域治疗后更快的复发(HR,3.14;P = 0.002)。
总之,我们开发了一种新的多标志物 CTC 富集检测方法,该方法能够高效、准确地检测 HCC CTC。VIM 阳性 CTC 的表型亚群似乎表明存在侵袭性基础疾病和隐匿性转移,这可能对治疗选择具有重要意义。