Pretreatment radiomic imaging features combined with immunological indicators to predict targeted combination immunotherapy response in advanced hepatocellular carcinoma.

IF 2.6 Q3 ONCOLOGY
Xu Zhang, Xu Zhang, Qian-Kun Luo, Qiang Fu, Pan Liu, Chang-Jie Pan, Chuan-Jiang Liu, Hong-Wei Zhang, Tao Qin
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引用次数: 0

Abstract

Background: Early symptoms of hepatocellular carcinoma (HCC) are not obvious, and more than 70% of which does not receive radical hepatectomy, when first diagnosed. In recent years, molecular-targeted drugs combined with immunotherapy and other therapeutic methods have provided new treatment options for middle and advanced HCC (aHCC). Predicting the effect of targeted combined immunotherapy has become a hot topic in current research.

Aim: To explore the relationship between nodule enhancement in hepatobiliary phase and the efficacy of combined targeted immunotherapy for aHCC.

Methods: Data from 56 patients with aHCC for magnetic resonance imaging with gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid were retrospectively collected. Signal intensity of intrahepatic nodules was measured, and the hepatobiliary relative enhancement ratio (RER) was calculated. Progression-free survival (PFS) of patients with high and low reinforcement of HCC nodules was compared. The model was validated using receiver operating characteristic curves. Univariate and multivariate logistic regression and Kaplan-Meier analysis were performed to explore factors influencing the efficacy of targeted immunization and PFS.

Results: Univariate and multivariate analyses revealed that the RER, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and prognostic nutritional index were significantly associated with the efficacy of tyrosine kinase inhibitors combined with immunotherapy (P < 0.05). The area under the curve of the RER for predicting the efficacy of tyrosine kinase inhibitors combined with anti-programmed death 1 antibody in patients with aHCC was 0.876 (95% confidence interval: 0.781-0.971, P < 0.05), the optimal cutoff value was 0.904, diagnostic sensitivity was 87.5%, and specificity was 79.2%. Kaplan-Meier analysis showed that neutrophil-to-lymphocyte ratio < 5, platelet-to-lymphocyte ratio < 300, prognostic nutritional index < 45, and RER < 0.9 significantly improved PFS.

Conclusion: AHCC nodules enhancement in the hepatobiliary stage was significantly correlated with PFS. Imaging information and immunological indicators had high predictive efficacy for targeted combined immunotherapy and were associated with PFS.

放疗前影像学特征结合免疫学指标预测晚期肝细胞癌靶向联合免疫治疗反应。
背景:肝细胞癌(HCC)的早期症状不明显,其中70%以上的患者首次确诊时未行根治性肝切除术。近年来,分子靶向药物联合免疫治疗等治疗方法为中晚期HCC (aHCC)提供了新的治疗选择。靶向联合免疫治疗的疗效预测已成为当前研究的热点。目的:探讨肝胆期结节增强与aHCC联合靶向免疫治疗疗效的关系。方法:回顾性收集56例aHCC患者的钆-乙氧基苄基-二乙烯三胺五乙酸磁共振成像资料。测量肝内结节信号强度,计算肝胆相对增强比(RER)。比较HCC结节高强化和低强化患者的无进展生存期(PFS)。利用受试者工作特征曲线对模型进行了验证。采用单因素和多因素logistic回归及Kaplan-Meier分析,探讨影响靶向免疫和PFS疗效的因素。结果:单因素和多因素分析显示,内质网、中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值和预后营养指数与酪氨酸激酶抑制剂联合免疫治疗的疗效有显著相关性(P < 0.05)。预测酪氨酸激酶抑制剂联合抗程序性死亡1抗体对aHCC患者疗效的RER曲线下面积为0.876(95%可信区间:0.781-0.971,P < 0.05),最佳截断值为0.904,诊断敏感性为87.5%,特异性为79.2%。Kaplan-Meier分析显示,中性粒细胞与淋巴细胞比值< 5,血小板与淋巴细胞比值< 300,预后营养指数< 45,RER < 0.9显著改善PFS。结论:肝胆期AHCC结节增强与PFS显著相关。影像学信息和免疫学指标对靶向联合免疫治疗具有较高的预测效能,并与PFS相关。
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来源期刊
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期刊介绍: The WJCO is a high-quality, peer reviewed, open-access journal. The primary task of WJCO is to rapidly publish high-quality original articles, reviews, editorials, and case reports in the field of oncology. In order to promote productive academic communication, the peer review process for the WJCO is transparent; to this end, all published manuscripts are accompanied by the anonymized reviewers’ comments as well as the authors’ responses. The primary aims of the WJCO are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in oncology. Scope: Art of Oncology, Biology of Neoplasia, Breast Cancer, Cancer Prevention and Control, Cancer-Related Complications, Diagnosis in Oncology, Gastrointestinal Cancer, Genetic Testing For Cancer, Gynecologic Cancer, Head and Neck Cancer, Hematologic Malignancy, Lung Cancer, Melanoma, Molecular Oncology, Neurooncology, Palliative and Supportive Care, Pediatric Oncology, Surgical Oncology, Translational Oncology, and Urologic Oncology.
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