Predicting Survival for Chimeric Antigen Receptor T-Cell Therapy: A Validation of Survival Models Using Follow-Up Data From ZUMA-1

ObjectivesSurvival extrapolation for chimeric antigen receptor T-cell therapies is challenging, owing to their unique mechanistic properties that translate to complex hazard functions. Axicabtagene ciloleucel is indicated for the treatment of relapse or refractory diffuse large B-cell lymphoma after 2 or more lines of therapy based on the ZUMA-1 trial. Four data snapshots are available, with minimum follow-up of 12, 24, 36, and 48 months. This analysis explores how survival extrapolations for axicabtagene ciloleucel using ZUMA-1 data can be validated and compared.MethodsThree different parametric modeling approaches were applied: standard parametric, spline-based, and cure-based models. Models were compared using a range of metrics, across the 4 data snapshot, including visual fit, plausibility of long-term estimates, statistical goodness of fit, inspection of hazard plots, point-estimate accuracy, and conditional survival estimates.ResultsStandard and spline-based parametric extrapolations were generally incapable of fitting the ZUMA-1 data well. Cure-based models provided the best fit based on the earliest data snapshot, with extrapolations remaining consistent as data matured. At 48 months, the maximum survival overestimate was 8.3% (Gompertz mixture-cure model) versus the maximum underestimate of 33.5% (Weibull standard parametric model).ConclusionsWhere a plateau in the survival curve is clinically plausible, cure-based models may be helpful in making accurate predictions based on immature data. The ability to reliably extrapolate from maturing data may reduce delays in patient access to potentially lifesaving treatments. Additional research is required to understand how models compare in broader contexts, including different treatments and therapeutic areas.     

肺癌患者化疗后三种肿瘤标志物的表达变化及意义

目的探讨肺癌患者化疗后的癌胚抗原(CEA)、神经元特异性烯醇化酶(NSE)和鳞状上皮细胞癌抗原(SCC-Ag)表达变化。方法选取2017年5月至2020年2月间南京市六合区人民医院收治的100例肺癌患者,将这些患者作为肺癌组,另随机选取同期100例健康体检人员作为健康组。统计分析两组人员化疗前的血清NSE、CEA、SCC-Ag表达水平、肺癌组化疗成功患者化疗前后的血清NSE、CEA、SCC-Ag表达水平、肺癌组化疗失败患者化疗前后的血清NSE、CEA、SCC-Ag表达水平。结果肺癌组患者化疗前的血清NSE、CEA和SCC-Ag表达水平均高于健康组,差异均有统计学意义(均P <0.05)。肺癌组化疗成功患者化疗后的血清NSE、CEA和SCC-Ag表达水平均低于化疗前,均高于健康组,差异均有统计学意义(P <0.05)。肺癌组化疗失败患者化疗后的血清NSE、CEA、SCC-Ag表达水平均高于化疗前,均高于健康组,差异均有统计学意义(P <0.05)。结论对肺癌患者的NSE、CEA、SCC-Ag表达水平进行检测能够将化疗效果有效反映出来,进而有效指导临床的下一步治疗工作,从而有效改善患者预后。     

脂质纳米粒-mRNA递送系统及其在嵌合抗原受体T细胞治疗中的应用

尽管嵌合抗原受体（CAR）T细胞治疗在血液系统恶性肿瘤患者中取得了显著的临床疗效，但需要进一步优化。脂质纳米粒（LNP）-信使核糖核酸（mRNA）递送系统作为一种非病毒性基因载体运用于CAR-T细胞治疗研究中，一方面通过LNP将密封蛋白-6 mRNA靶向递送至抗原提呈细胞，从而实现抗原提呈细胞辅助性增强密封蛋白-6靶向的CAR-T细胞的功能，以进一步诱导对实体瘤的清除；另一方面，通过LNP将成纤维细胞激活蛋白（FAP）CARmRNA靶向递送至T细胞，实现体内FAP靶向的CAR-T细胞的制备，以通过阻断心脏纤维化过程达到治疗急性心肌损伤的目的。在CAR-T细胞研究和治疗中，LNP-mRNA递送系统具有不与细胞基因组整合、价格便宜、毒副作用小及可修饰等优点，亦存在蛋白瞬时表达导致调控细胞功能的持久性不足及制备等方面的技术局限性。本文综述了LNP-mRNA递送系统及其在CAR-T细胞治疗中的应用研究。     

What is the impact of zinc deficiency for pancreatectomies in patients with pancreatic ductal adenocarcinoma?

Backgroundand purpose: Zinc is an essential element for human health and plays an important role in metabolic, immunological and other biological processes. The present study was conducted to investigate the association between zinc deficiency (ZD) and the perioperative clinical course in patients with pancreatic ductal adenocarcinoma (PDAC).MethodsOf 216 patients with PDAC who underwent elective pancreatectomy between 2013 and 2017 at our institution, 206 patients with sufficient clinical data were retrospectively reviewed. The perioperative variables were compared and the risk factors associated with infectious complications were identified.ResultsZD was preoperatively present in 36 (17.5%) of 206 patients with PDAC. In the patients of the ZD group, a higher proportion of males, higher preoperative modified Glasgow prognostic scores, a higher neutrophil-to-lymphocyte ratio, and a higher occurrence of postoperative infectious complications after pancreatectomy were observed, compared to the non-ZD group. By a univariate analysis, three risk factors were significantly associated with infectious complications after pancreatectomy: ZD (vs non-ZD: p = 0.002), serum albumin <3.5 g/dl (vs ≥ 3.5 g/dl: p = 0.005), and the procedure of pancreaticoduodenectomy (vs others: p = 0.013). By multivariate logistic regression analysis, the occurrence of infectious complications was significantly associated with ZD (OR 3.430, 95%CI 1.570 to 7.490, p = 0.002) and the procedure of pancreaticoduodenectomy (OR 2.030, 95%CI 1.090 to 3.770, p = 0.025).ConclusionsThe current study newly demonstrated that ZD could serve as a preoperative predictor of infectious complications after pancreatectomies in the patients with PDAC.     

Systemic therapy for hormone receptor-positive/human epidermal growth factor receptor 2-negative early stage and metastatic breast cancer

Hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer is defined by the presence of the estrogen receptor and/or the progesterone receptor and the absence of HER2 gene amplification. HR-positive/HER2-negative breast cancer accounts for 65%–70% of all breast cancers, and incidence increases with increasing age. Treatment varies by stage, and endocrine therapy is the mainstay of treatment in both early stage and late-stage disease. Combinations with cyclin-dependent kinase 4/6 inhibitors have reduced distant recurrence in the early stage setting and improved overall survival in the metastatic setting. Chemotherapy is used based on stage and tumor biology in the early stage setting and after endocrine resistance for advanced disease. New therapies, including novel endocrine agents and antibody-drug conjugates, are now changing the treatment landscape. With the availability of new treatment options, it is important to define the optimal sequence of treatment to maximize clinical benefit while minimizing toxicity. In this review, the authors first discuss the pathologic and molecular features of HR-positive/HER2-negative breast cancer and mechanisms of endocrine resistance. Then, they discuss current and emerging therapies for both early stage and metastatic HR-positive/HER2-negative breast cancer, including treatment algorithms based on current data.