Safety of Combined Yttrium-90 Radioembolization and Immune Checkpoint Inhibitor Immunotherapy for Hepatocellular Carcinoma

PurposeTo investigate the safety of yttrium-90 radioembolization in combination with checkpoint inhibitor immunotherapy for the treatment of hepatocellular carcinoma (HCC).Materials and MethodsThis single-center retrospective study included 26 consecutive patients with HCC who received checkpoint inhibitor immunotherapy within 90 days of radioembolization from April 2015 to May 2018. Patients had preserved liver function (Child-Pugh scores A–B7) and either advanced HCC due to macrovascular invasion or limited extrahepatic disease (21 patients) or aggressive intermediate stage HCC that resulted in earlier incorporation of systemic immunotherapy (5 patients). Clinical documentation, laboratory results, and imaging results at 1- and 3-month follow-up intervals were reviewed to assess treatment-related adverse events and treatment responses.ResultsThe median follow-up period after radioembolization was 7.8 months (95% confidence interval [CI], 5.6–11.8). There were no early (30-day) mortality or grades 3/4 hepatobiliary or immunotherapy-related toxicities. Delayed grades 3/4 hepatobiliary toxicities (1–3 months) occurred in 2 patients in the setting of HCC disease progression. One patient developed pneumonitis. The median overall survival from first immunotherapy was 17.2 months (95% CI, 10.9–23.4). The median overall survival from first radioembolization was 16.5 months (95% CI, 6.6–26.4). From first radioembolization, time to tumor progression was 5.7 months (95% CI, 4.2–7.2), and progression-free survival was 5.7 months (95% CI, 4.3–7.1).ConclusionsRadioembolization combined with checkpoint inhibitor immunotherapy in cases of HCC appears to be safe and causes limited treatment-related toxicity. Future prospective studies are needed to identify the optimal combination treatment protocols and evaluate the efficacy of combination therapy.     

Automated classification of depression from structural brain measures across two independent community‐based cohorts

Major depressive disorder (MDD) has been the subject of many neuroimaging case–control classification studies. Although some studies report accuracies ≥80%, most have investigated relatively small samples of clinically‐ascertained, currently symptomatic cases, and did not attempt replication in larger samples. We here first aimed to replicate previously reported classification accuracies in a small, well‐phenotyped community‐based group of current MDD cases with clinical interview‐based diagnoses (from STratifying Resilience and Depression Longitudinally cohort, ‘STRADL’). We performed a set of exploratory predictive classification analyses with measures related to brain morphometry and white matter integrity. We applied three classifier types—SVM, penalised logistic regression or decision tree—either with or without optimisation, and with or without feature selection. We then determined whether similar accuracies could be replicated in a larger independent population‐based sample with self‐reported current depression (UK Biobank cohort). Additional analyses extended to lifetime MDD diagnoses—remitted MDD in STRADL, and lifetime‐experienced MDD in UK Biobank. The highest cross‐validation accuracy (75%) was achieved in the initial current MDD sample with a decision tree classifier and cortical surface area features. The most frequently selected decision tree split variables included surface areas of bilateral caudal anterior cingulate, left lingual gyrus, left superior frontal, right precentral and paracentral regions. High accuracy was not achieved in the larger samples with self‐reported current depression (53.73%), with remitted MDD (57.48%), or with lifetime‐experienced MDD (52.68–60.29%). Our results indicate that high predictive classification accuracies may not immediately translate to larger samples with broader criteria for depression, and may not be robust across different classification approaches.     

肠道菌群与恶性肿瘤的研究进展

人类微生物群是由寄生在人体上皮屏障的细菌和其他微生物组成的，其中大部分位于肠道内，与宿主之间形成共生的关系。机体肠道微生物的组成虽然受到年龄、饮食、生活方式等因素的影响，但在正常生理情况下是相对稳定的。近年来，肠道菌群与恶性肿瘤的关系越来越受到重视。肠道菌群不但能够维持局部稳态，还能调节机体代谢、炎症和免疫等生理过程。有研究表明，微生物群，特别是肠道菌群能够显著调节机体对癌症治疗的反应性以及机体对毒副反应的敏感性。检查肠道菌群中各菌种之间的比例可作为筛查恶性肿瘤的新方法。本文将综述微生物群具有影响肿瘤的发生发展、抗肿瘤治疗疗效以及药物不良反应的证据，以及其中所涉及的微生物种类，从而为恶性肿瘤精准治疗提供证据。     

中医药调控IL-1治疗肿瘤机制的研究进展

炎症已成为影响肿瘤细胞增殖转移的第七大因素,而白细胞介素-1(IL-1)是炎性微环境的重要因子之一。中医药在治疗肿瘤时具有多途径、多靶点的优势,同时炎性微环境致病特点与现代中医学"癌毒"的理论相吻合。查阅近年中医药调控IL-1家族分子治疗肿瘤机制的文献,对其进行梳理,并做出概括及评价,从中医药主要调控IL-1α、IL-1β和IL-18因子治疗肿瘤展开综述,为中医药更系统化治疗肿瘤提供参考。     

TACE 术前天冬氨酸氨基转移酶与淋巴细胞比值对原发性肝癌并门脉癌栓患者预后预测的价值

目的 探讨肝动脉化疗栓塞（transcatheter arterial chemoembolization，TACE）术前天冬氨酸氨基转移酶与淋巴细胞比值（aspartate aminotransferase to lymphocyte ratio index，ALRI）在原发性肝癌并门脉癌栓（primary liver cancer-portal vein tumor thrombosis，PLC-PVTT）患者预后预测中的价值。方法 选取2013年11月21日至2018年8月22日于广西医科大学附属肿瘤医院接受TACE治疗的175例PLC-PVTT患者为研究对象。采用时间依赖性ROC曲线确定ALRI的最佳临界值。采用Cox 回归模型分析总生存期（overall survival，OS）的独立预测因素，Kaplan-Meier法计算生存率。结果 ROC曲线显示，ALRI的最佳临界值为49.37，对应曲线下面积为0.71。Kaplan-Meier分析显示，ALRI>49.37的患者OS较ALRI≤49.37的患者短（P=0.003）。Cox 回归分析结果显示，ALRI>49.37、行1次以上TACE治疗、Child-Pugh分级B级、凝血酶原时间≥13 s是患者TACE术后OS的独立危险因素（均P＜0.05）。结论 TACE术前ALRI>49.37是PLC-PVTT患者OS的独立危险因素。     

PDCA循环在消化道肿瘤伴糖尿病患者营养全程管理中的效果观察

目的 探讨PDCA 循环在消化道肿瘤伴糖尿病患者营养全程管理中的效果观察。方法 运用PDCA循环对80例不同程度营养不良的消化道肿瘤伴糖尿病患者实施营养全程管理,比较干预前后患者的体重、BMI指数、糖化血红蛋白、血红蛋白、总蛋白、白蛋白及球蛋白水平。结果 患者血红蛋白、总蛋白、白蛋白及球蛋白水平均有提高,比较差异均有统计学意义(P＜0.05)。结论 PDCA循环管理在消化道肿瘤伴糖尿病患者营养全程管理中有较大的优势, 值得推广。     

Transarterial Chemoembolization vs Radioembolization for Neuroendocrine Liver Metastases: A Multi-Institutional Analysis

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