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.     

Preoperative comprehensive malignancy risk estimation for thyroid nodules: Development and verification of a network-based prediction model

BackgroundIn order to avoid excessive treatment of thyroid nodules in the clinic, it is necessary to find a simple and practical analysis method to comprehensively and accurately reflect benign or malignant thyroid nodules. This study aimed to construct and validate a comprehensive and reliable network-based predictive model using a variety of imaging and laboratory criteria for thyroid nodules to stratify the risk of malignancy prior to surgery.MethodsWe retrospectively analyzed data from patients who underwent surgical treatment for thyroid nodules at the Thyroid and Breast Diagnosis and Treatment Center of Weifang Hospital of Traditional Chinese Medicine between January 2018 and December 2020. Binary logical regression analysis was performed to predict whether nodules were malignant or benign. The developmental dataset included 457 patients (January 2018–December 2020). The validation set included separate data points (n = 225, January 2018–December 2020).ResultsIn this study, criteria that showed significant predictive value for malignant nodules included TI-RADS: 4b (p = 0.065); Bethesda IV, Bethesda V, Bethesda VI (P < 0.0001); BRAF^V600E mutation (P < 0.0001); Calcitonin>5 pg/ml (p = 0.0037); and FNA-Tg>30 ng/ml (p = 0.0003). A 10-grade risk scoring system was developed. The risk of malignancy risk ranged from 2.06% to 100% and was positively associated with increasing risk grade. The areas under the receiver-operating characteristic curve of the development and validation sets were 0.972 and 0.946, respectively.ConclusionA simple, comprehensive and reliable web-based predictive model was designed using a variety of imaging and laboratory criteria to stratify thyroid nodules by probability of malignancy.     

术前SCC与CYFRA21-1在肺鳞癌患者表达上调及临床意义

目的 分析术前SCC、CYFRA21-1与肺鳞癌临床病理特征、预后之间的关系。方法 收集2017年3月~2018年4月在云南省肿瘤医院确诊的肺鳞癌患者100例为观察组，确诊为肺良性肿瘤患者90名为肺良性肿瘤组、以及正常人群90名为健康人群组。通过电化学发光法对SCC、CYFRA21-1两种指标进行检测。检测SCC、CYFRA21-1含量，分析在肺鳞癌中表达的临床意义。结果 SCC、CYFRA21-1在肺鳞癌中比在肺良性肿瘤、健康人群中含量要高，差异有统计学意义（P＜0.001），并且敏感性均高于其他两组；男性患者的SCC、CYFRA21-1含量高于女性患者，差异具有统计学意义（P＜0.05）；SCC、CYFRA21-1含量在年龄≥60岁的含量高于＜60岁患者，差异无统计学意义（P＞0.05）；有吸烟史患者的SCC含量高于无吸烟史患者，差异无统计学意义（P＞0.05）。CYFRA21-1在吸烟史患者中高表达，差异有统计学意义（P＜0.05）；SCC、CYFRA21-1在有淋巴结转移、远处转移、肿瘤直径≥5 cm、病理分期为晚期时高表达，差异具有统计学意义（P＜0.05）；SCC、CYFRA21-1阳性患者OS、PFS比阴性患者短；SCC、CYFRA21-1两者之间呈正相关,相关系数（r）为0.630。结论 SCC、CYFRA21-1在肺鳞癌中表达上调；SCC、CYFRA21-1与性别之间存在某种内在联系；SCC、CYFRA21-1与肺鳞癌的TNM分期呈正相关；SCC、CYFRA21-1阳性患者OS、PFS比阴性患者短；SCC、CYFRA21-1两者之间呈正相关,相关系数（r）为0.630。     

PSMA-CAR-CIK转基因细胞体外杀伤三种前列腺癌细胞株效率的研究北大核心

目的:本研究通过检测前列腺特异性膜抗原(prostate specific membrane antigen,PSMA)-肿瘤特异性嵌合抗原受体(chimeric antigen receptor,CAR)-细胞因子诱导的杀伤细胞(cytokine induced killer cell,CIK)转基因细胞杀伤三种前列腺癌细胞株的效率,鉴定其用于后期治疗前列腺癌的可行性。方法:通过已经构建的二代PSMA-CAR慢病毒表达载体转染CIK细胞,构建PSMA-CAR-CIK转基因细胞;通过CCK8法检测CIK细胞及PSMA-CAR-CIK转基因细胞杀伤三种前列腺癌细胞株PC3、LNCaP、DU145的效率及效靶比。结果:转基因PSMA-CAR-CIK细胞构建成功;3 h~3.5 h为检测效应细胞对靶细胞细胞毒活性时与CCK8试剂孵育的最佳时间;两种效应细胞均在效靶比为10∶1、15∶1、20∶1时,杀伤率逐步增高,无统计学意义(P>0.05),但与其它组相比差异显著(P<0.05)。结论:两种效应细胞对于前列腺癌细胞的杀伤,只要效靶比达到10∶1的比例,就能起到一个较好的杀瘤效果,并且随着效应细胞的增加,其抗肿瘤能力逐步加强;转基因PSMA-CAR-CIK细胞的构建为CAR技术治疗前列腺癌的临床应用奠定了基础。