Liver Transplantation Center, Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, P. R. China.
Institute of Organ Transplantation, Fudan University, Shanghai, 200040, P. R. China.
Adv Sci (Weinh). 2024 Jun;11(21):e2309348. doi: 10.1002/advs.202309348. Epub 2024 Mar 18.
Tertiary lymphoid structure (TLS) can predict the prognosis and sensitivity of tumors to immune checkpoint inhibitors (ICIs) therapy, whether it can be noninvasively predicted by radiomics in hepatocellular carcinoma with liver transplantation (HCC-LT) has not been explored. In this study, it is found that intra-tumoral TLS abundance is significantly correlated with recurrence-free survival (RFS) and overall survival (OS). Tumor tissues with TLS are characterized by inflammatory signatures and high infiltration of antitumor immune cells, while those without TLS exhibit uncontrolled cell cycle progression and activated mTOR signaling by bulk and single-cell RNA-seq analyses. The regulators involved in mTOR signaling (RHEB and LAMTOR4) and S-phase (RFC2, PSMC2, and ORC5) are highly expressed in HCC with low TLS. In addition, the largest cohort of HCC patients is studied with available radiomics data, and a classifier is built to detect the presence of TLS in a non-invasive manner. The classifier demonstrates remarkable performance in predicting intra-tumoral TLS abundance in both training and test sets, achieving areas under receiver operating characteristic curve (AUCs) of 92.9% and 90.2% respectively. In summary, the absence of intra-tumoral TLS abundance is associated with mTOR signaling activation and uncontrolled cell cycle progression in tumor cells, indicating unfavorable prognosis in HCC-LT.
三级淋巴结构 (TLS) 可预测肿瘤对免疫检查点抑制剂 (ICIs) 治疗的预后和敏感性,其是否可通过移植肝内肝细胞癌 (HCC-LT) 的放射组学进行无创预测尚未探索。本研究发现,肿瘤内 TLS 丰度与无复发生存 (RFS) 和总生存 (OS) 显著相关。具有 TLS 的肿瘤组织表现出炎症特征和抗肿瘤免疫细胞的高浸润,而没有 TLS 的肿瘤组织表现出失控的细胞周期进展和通过 bulk 和单细胞 RNA-seq 分析激活的 mTOR 信号。mTOR 信号的调节因子 (RHEB 和 LAMTOR4) 和 S 期 (RFC2、PSMC2 和 ORC5) 在低 TLS 的 HCC 中高度表达。此外,利用可用的放射组学数据对最大的 HCC 患者队列进行了研究,并构建了一个分类器以无创方式检测 TLS 的存在。该分类器在训练集和测试集均表现出出色的性能,预测肿瘤内 TLS 丰度的受试者工作特征曲线下面积 (AUCs) 分别为 92.9%和 90.2%。总之,肿瘤内 TLS 丰度的缺失与肿瘤细胞中 mTOR 信号的激活和失控的细胞周期进展相关,提示 HCC-LT 的预后不良。