为肝细胞癌武装 GPC3 CAR-T 细胞:多少才足够,下一步是什么?
Armouring GPC3 CAR T cells for hepatocellular carcinoma: how much is enough and what comes next?
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Identification and characterization of a 25-lncRNA prognostic signature for early recurrence in hepatocellular carcinoma.
Identification and characterization of a 25-lncRNA prognostic signature for early recurrence in hepatocellular carcinoma.
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我们的研究提出了一种用于预测 HCC 早期复发的 25-lncRNA 预后特征,这可能指导 HCC 患者的术后治疗和复发监测。
早期复发是肝细胞癌(HCC)预后不良的主要原因。长链非编码RNA(lncRNA)深度参与HCC预后。在本研究中,我们旨在建立用于HCC早期复发的预后lncRNA特征。
从TCGA数据库中获取了总共299例HCC患者的lncRNA表达谱和相应的临床数据。通过差异表达基因(DEG)、单因素Cox回归和最小绝对收缩和选择算子(LASSO)回归分析筛选与早期复发相关的lncRNA候选者。根据受试者工作特征曲线(ROC)构建了一个25-lncRNA预后特征。使用Kaplan-Meier和多因素Cox回归分析评估该特征的性能。使用ROC和列线图评估基于该特征与其他独立临床风险因素的整合模型。使用基因集富集分析(GSEA)揭示高风险组中富集的基因集。使用单样本基因集富集分析(ssGSEA)分析TIL(肿瘤浸润淋巴细胞)(TILs)水平。使用TIDE和SubMap进行免疫治疗反应预测。使用癌症药物敏感性基因组学(GDSC)药物基因组学数据库进行化疗反应预测。
与低风险组相比,高风险组患者在训练队列(p < 0.0001)和验证队列(p = 0.0132)中显示无病生存期(DFS)缩短。25-lncRNA signature、AFP、TNM和血管侵犯可作为HCC早期复发的独立危险因素。其中,25-lncRNA signature具有最佳的预测性能,联合这四种危险因素进一步提高了预后潜力。此外,GSEA显示高风险组中“E2F TARGETS”、“G2M CHECKPOINT”、“MYC TARGETS V1”和“DNA REPAIR”通路显著富集。此外,与高风险组相比,低风险组中观察到TILs增加。25-lncRNA signature与某些类型的抗肿瘤免疫细胞水平呈负相关。免疫治疗和化疗预测显示低风险组和高风险组对PD-1抑制剂和几种化疗药物的反应存在差异。
Early recurrence is the major cause of poor prognosis in hepatocellular carcinoma (HCC). Long non-coding RNAs (lncRNAs) are deeply involved in HCC prognosis. In this study, we aimed to establish a prognostic lncRNA signature for HCC early recurrence.
The lncRNA expression profile and corresponding clinical data were retrieved from total 299 HCC patients in TCGA database. LncRNA candidates correlated to early recurrence were selected by differentially expressed gene (DEG), univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses. A 25-lncRNA prognostic signature was constructed according to receiver operating characteristic curve (ROC). Kaplan-Meier and multivariate Cox regression analyses were used to evaluate the performance of this signature. ROC and nomogram were used to evaluate the integrated models based on this signature with other independent clinical risk factors. Gene set enrichment analysis (GSEA) was used to reveal enriched gene sets in the high-risk group. Tumor infiltrating lymphocytes (TILs) levels were analyzed with single sample Gene Set Enrichment Analysis (ssGSEA). Immune therapy response prediction was performed with TIDE and SubMap. Chemotherapeutic response prediction was conducted by using Genomics of Drug Sensitivity in Cancer (GDSC) pharmacogenomics database.
Compared to low-risk group, patients in high-risk group showed reduced disease-free survival (DFS) in the training (p < 0.0001) and validation cohort (p = 0.0132). The 25-lncRNA signature, AFP, TNM and vascular invasion could serve as independent risk factors for HCC early recurrence. Among them, the 25-lncRNA signature had the best predictive performance, and combination of those four risk factors further improves the prognostic potential. Moreover, GSEA showed significant enrichment of "E2F TARGETS", "G2M CHECKPOINT", "MYC TARGETS V1" and "DNA REPAIR" pathways in the high-risk group. In addition, increased TILs were observed in the low-risk group compared to the high-risk group. The 25-lncRNA signature negatively associates with the levels of some types of antitumor immune cells. Immunotherapies and chemotherapies prediction revealed differential responses to PD-1 inhibitor and several chemotherapeutic drugs in the low- and high-risk group.
Our study proposed a 25-lncRNA prognostic signature for predicting HCC early recurrence, which may guide postoperative treatment and recurrence surveillance in HCC patients.
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