Department of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, People's Republic of China.
Department of Interventional Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, People's Republic of China.
Cancer Immunol Immunother. 2022 Jan;71(1):25-38. doi: 10.1007/s00262-021-02957-w. Epub 2021 May 16.
Tumor-infiltrating CD8 cells and expression of programmed cell death ligand 1 (PD-L1) are immune checkpoint markers in patients with hepatocellular carcinoma (HCC). We aimed to determine the ability of preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI) findings to predict CD8 cell density and PD-L1 expression in HCC.
A total of 120 patients with HCC who underwent 3.0-T gadoxetic acid-enhanced MRI before curative resection from January 2016 to June 2020 were enrolled and divided into a training set (n = 84) and a testing set (n = 36). Thirty-four patients with advanced stage HCC who received anti-PD-1 inhibitor between January 2017 and April 2020 and underwent pretreated gadoxetic acid-enhanced MRI scans were enrolled in an independent validation set. PD-L1 expression and CD8 cell infiltration were assessed with immunohistochemical staining, respectively. Two radiologists blinded to pathology results evaluated the pretreated MR features in consensus. Logistic regression and the receiver operating characteristic curve (ROC) analyses were used to determine the value of image features to predict high CD8 cell density, PD-L1 positivity and the combination of high CD8 cell density and PD-L1 positivity in HCC in the training set and validated the findings in the testing set. The associations of MRI predictors with the objective response to immunotherapy were assessed in the independent validation.
In the training set, the independent MRI predictors were irregular tumor margin (ITM, P = 0.008) and peritumoral low signal intensity (PLSI) on hepatobiliary phase (HBP) images (P < 0.001) for PD-L1 positivity, absence of an enhancing capsule (AEC, P = 0.001) and PLSI on HBP images (P = 0.025) for high CD8 cell density, and PLSI on HBP images (P = 0.001) and ITM (P = 0.023) for the both. The area under the curves (AUCs) of the predictive models for evaluating PD-L1 positivity, high CD8 cell density and the combination of high CD8 cell density and PD-L1 positivity were 0.810 and 0.809, 0.740 and 0.728, and 0.809 and 0.874 in the training and testing set, respectively. The objective response was demonstrated to be associated with the combination of PLSI on HBP images and ITM (PHI, P = 0.004), and the combination of PLSI on HBP images and AEC (PHA, P = 0.012) in the independent validation set.
Pretreated MRI features have the potential to identify patients with HCC in an immune-activated state and predict outcomes of immunotherapy. Trial registration The study was retrospectively registered on March 5, 2020 with registration no. [2020] 02-012-01.
肿瘤浸润 CD8 细胞和程序性死亡配体 1(PD-L1)的表达是肝细胞癌(HCC)患者的免疫检查点标志物。我们旨在确定术前钆塞酸增强磁共振成像(MRI)检查结果预测 HCC 中 CD8 细胞密度和 PD-L1 表达的能力。
共纳入 2016 年 1 月至 2020 年 6 月期间因可治愈性切除而行 3.0-T 钆塞酸增强 MRI 检查的 120 例 HCC 患者,并将其分为训练集(n=84)和测试集(n=36)。纳入 2017 年 1 月至 2020 年 4 月期间接受抗 PD-1 抑制剂治疗并接受预处理性钆塞酸增强 MRI 扫描的 34 例晚期 HCC 患者,作为独立验证集。分别采用免疫组织化学染色法评估 PD-L1 表达和 CD8 细胞浸润。两名放射科医生对病理结果不知情,对预处理的 MRI 特征进行了共识评估。使用逻辑回归和受试者工作特征曲线(ROC)分析来确定图像特征预测 HCC 中 CD8 细胞密度高、PD-L1 阳性以及 CD8 细胞密度高和 PD-L1 阳性组合的价值,在训练集和测试集进行验证。在独立验证集中评估 MRI 预测因子与免疫治疗的客观反应之间的关联。
在训练集中,独立的 MRI 预测因子为不规则肿瘤边缘(ITM,P=0.008)和肝胆期(HBP)图像上的瘤周低信号强度(PLSI)(P<0.001)与 PD-L1 阳性相关,无强化包膜(AEC,P=0.001)和 HBP 图像上的 PLSI(P=0.025)与 CD8 细胞密度高相关,以及 HBP 图像上的 PLSI(P=0.001)和 ITM(P=0.023)与两者均相关。评估 PD-L1 阳性、CD8 细胞密度高以及 CD8 细胞密度高和 PD-L1 阳性组合的预测模型的曲线下面积(AUC)在训练组和测试组中分别为 0.810 和 0.809、0.740 和 0.728,以及 0.809 和 0.874。在独立验证集中,客观反应与 HBP 图像上的 PLSI 和 ITM(PHI,P=0.004)以及 HBP 图像上的 PLSI 和 AEC(PHA,P=0.012)的组合有关。
预处理的 MRI 特征有可能识别处于免疫激活状态的 HCC 患者,并预测免疫治疗的结果。
该研究于 2020 年 3 月 5 日进行了回顾性注册,注册号为[2020]02-012-01。