Department of Surgery, Division of Surgical Oncology, Oregon Health & Science University (OHSU), Portland, OR 97239, USA.
Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University (OHSU), Portland, OR 97201, USA.
Int J Mol Sci. 2024 Aug 24;25(17):9198. doi: 10.3390/ijms25179198.
Existing clinical biomarkers do not reliably predict treatment response or disease progression in patients with advanced intrahepatic cholangiocarcinoma (ICC). Circulating neoplastic-immune hybrid cells (CHCs) have great promise as a blood-based biomarker for patients with advanced ICC. Peripheral blood specimens were longitudinally collected from patients with advanced ICC enrolled in the HELIX-1 phase II clinical trial (NCT04251715). CHCs were identified by co-expression of pan-cytokeratin (CK) and CD45, and levels were correlated to patient clinical disease course. Unsupervised machine learning was then performed to extract their morphological features to compare them across disease courses. Five patients were included in this study, with a median of nine specimens collected per patient. A median of 13.5 CHCs per 50,000 peripheral blood mononuclear cells were identified at baseline, and levels decreased to zero following the initiation of treatment in all patients. Counts remained undetectable in three patients who demonstrated end-of-trial clinical treatment response and conversely increased in two patients with evidence of therapeutic resistance. In the post-trial surveillance period, interval counts increased prior to or at the time of clinical progression in three patients and remain undetectable in one patient with continued long-term disease stability. Using our machine learning platform, treatment-resistant CHCs exhibited upregulation of CK and downregulation of CD45 relative to treatment-responsive CHCs. CHCs represent a promising blood-based biomarker to supplement traditional radiographic and biochemical measures.
现有的临床生物标志物不能可靠地预测晚期肝内胆管癌(ICC)患者的治疗反应或疾病进展。循环肿瘤免疫杂交细胞(CHC)作为一种基于血液的晚期 ICC 患者的生物标志物具有很大的应用前景。从参加 HELIX-1 二期临床试验(NCT04251715)的晚期 ICC 患者中纵向采集外周血标本。CHC 通过共同表达细胞角蛋白(CK)和 CD45 来鉴定,并与患者的临床疾病过程相关联。然后进行无监督机器学习以提取其形态特征,以比较不同疾病过程中的特征。本研究共纳入 5 例患者,每位患者采集的标本中位数为 9 份。基线时每 50,000 个外周血单核细胞中识别出中位数为 13.5 个 CHC,所有患者在开始治疗后降至零。在 3 名显示试验结束时临床治疗反应的患者中,计数仍无法检测到,而在 2 名有治疗抵抗证据的患者中则增加。在试验后监测期间,在 3 名患者的临床进展之前或之时,间隔计数增加,而在一名持续长期疾病稳定的患者中仍无法检测到。使用我们的机器学习平台,与治疗反应性 CHC 相比,治疗耐药性 CHC 表现出 CK 的上调和 CD45 的下调。CHC 代表一种有前途的基于血液的生物标志物,可以补充传统的放射学和生化测量。