Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

目的：探讨LINC00958/血管内皮生长因子C（VEGF-C）信号通路在宫颈癌的淋巴管生成和淋巴转移中的作用。方法：从2020年9月至2022年9月期间在河南省人民医院接受手术的患者中收集了42例宫颈癌组织标本，通过qPCR检测宫颈癌组织和宫颈癌细胞（Hela、C33A、SiHa、Caski）中LINC00958的表达情况。将LINC00958过表达载体（LINC00958组）或对照载体（CMV组）转染Caski细胞，敲减LINC00958（shLINC00958组）、VEGF-C（shVEGF-C组）的shRNA序列或阴性对照shRNA（shNC组）转染SiHa细胞。分别通过CCK-8法、Transwell实验检测过表达或敲减LINC00958对宫颈癌细胞增殖、迁移和侵袭的影响。观察转染后细胞的培养上清液对人淋巴管内皮细胞（HLEC）淋巴管形成能力的影响。建立小鼠腘淋巴结转移模型，观察过表达LINC00958或同时敲减VEGF-C对宫颈癌淋巴结转移的影响。结果：LINC00958在宫颈癌组织中呈高表达（P<0.001），高水平的LINC00958与大肿瘤、晚期肿瘤分级、浸润深度和淋巴转移有关联（P<0.05或P<0.01）。与正常人宫颈上皮细胞ende1617相比，宫颈癌细胞中LINC00958水平均显著升高（P<0.01或P<0.001）。shLINC00958组SiHa细胞的增殖、迁移、侵袭能力及其培养上清液的促HLEC淋巴管形成能力均显著低于shNC组（P<0.05、P<0.01或P<0.001），LINC00958组Caski细胞的增殖、迁移、侵袭能力及其培养上清液的促HLEC淋巴管形成能力显著高于CMV组（P<0.05、P<0.01或P<0.001）。通过RNA下拉、RNA免疫沉淀实验发现宫颈癌细胞中LINC00958能够特异性结合VEGF-C。LINC00958+shVEGF-C组Caski细胞的增殖、迁移、侵袭能力及其培养上清液的促淋巴管形成能力显著低于LINC00958组（P<0.01或P<0.001）；在小鼠腘淋巴结转移模型中，LINC00958+shVEGF-C组中小鼠腘窝淋巴结的体积和VEGF-C蛋白、N-cadherin蛋白以及LYVE-1的阳性细胞比例均显著低于LINC00958组（均P<0.001）。结论：LINC00958通过直接与VEGF-C蛋白相互作用增强宫颈癌细胞的增殖、侵袭、淋巴管生成能力，促进小鼠腘淋巴结转移模型的淋巴结转移。

A number of chimeric antigen receptor T cells have been marketed in China,which bring new therapeutic options for patients with hematologic tumors.Compared with other drugs,the clinical application of such living cell products has certain special features.Package insert is the carrier of basic information,safety and effectiveness data of drugs,and is an important basis of rationally use for medical personnel and patients.In this paper,we mainly discuss the requirements for writing package inserts of chimeric antigen receptor T cells with cases,in order to provide reference for package inserts and improve the understanding in clinical application.

Therapeutic mRNA vaccine for tumors attracted much attention as a new type of tumor treatment,and most products are in the preclinical and clinical research stage,and there has not post-market drug.However,the non-clinical evaluation of therapeutic mRNA vaccines for tumors is more complicated,due to their target features,mechanisms,delivery patterns,and the cross-species differences of immune system.The choice of animal model is not only content of the clinical effectiveness,and it was a key factor of toxicity assessment.In this work,the challenges for non-clinical evaluation of therapeutic mRNA vaccines for tumors are discussed,and the compliant requirements are reviewed,and the general considerations are suggested.

OBJECTIVE To explore the lipid-regulating mechanism of the classic prescription Zexie Decoction on hyperlipidemia model mice.METHODS ELISA method was used to detect the four blood lipid indexes,liver function indicators and cholesterol acyltransferase levels in serum.HE and Oil Red O staining were used to determine the pathology of liver tissue.Network pharmacology was used to predict the lipid-lowering related targets of Zexie Decoction,and the GO function and KEGG pathway enrichment analyses of the intersection targets were realized.PCR chip technology was used to detect the target genes for network pharmacology screening,and qPCR and Western blot were used to detect gene and protein expression levels.RESULTS Zexie Decoction significantly regula-ted the four blood lipid indexes in hyperlipidemia model mice,improved the increase in liver damage indicators caused by high lipids,and had a reverse regulatory effect on the key enzymes HMGR and CYP7A1 of lipid metabolism and the lipid transporters ABCA1 and Apo-A1 in liver tissue.HE and Oil Red O staining showed that Zexie Decoction improved the pathological morphology of liver tissue,reduced lipid deposition in liver tissue,and significantly decreased the positive area ratio(P<0.01).The PCR chip obtained 44 re-verse-regulated genes,GO functional enrichment analysis obtained 266 entries,and KEGG pathway enrichment analysis screened 99 signaling pathways.The results of qPCR and Western blot showed that Zexie Decoction significantly downregulated the expression of PIK3CG,AKT1,and IL-6 genes(P<0.05,P<0.01),upregulated the expression of ABCG1 gene(P<0.05),downregulated PI3Kinase p110β,p-AKT(Ser473)and SREBP-1c protein expression levels(P<0.01),and reversely regulated miR21-5p(P<0.01).CONCLUSION Zexie Decoction has a significant regulatory effect on lipid metabolism in hyperlipidemia model mice and can improve liver damage caused by hyperlipidemia.Its lipid-regulating effect may be related to regulating cholesterol metabolism and transport in the body,and is closely linked to the miR21/PI3K-Akt/SREBP pathway.The lipid-regulating effect of the whole formula of Zexie Decoction is better than that of a single herb.

Objectives:This study aims to investigate the impact of different Low-Density Lipoprotein cholesterol(LDL-C)levels on progression of intermediate coronary stenosis,and the associated risk factors leading to the progression of such lesions. Methods:Data were collected on 219 consecutive patients admitted at the Fuwai Central China Vascular Hospital from January 2020 to February 2021,underwent angiographic examinations and diagnosed with intermediate coronary stenosis,with at least one follow-up angiography after 11 months.Offline quantitative flow ratio(QFR)analysis was performed on these cases.Patients were divided into two groups:LDL-C controlled group(LDL-C<1.8 mmol/L,148 patients with 191 vessels)and LDL-C uncontrolled group(LDL-C≥1.8 mmol/L,71 patients with 98 vessels).Coronary artery QFR and anatomical indicators such as minimal lumen diameter,minimal lumen area,percentage diameter stenosis,percentage area stenosis were compared within and between the groups.Further analysis was performed to identify influencing factors leading to changes in coronary physiological parameters derived from QFR. Results:Within the LDL-C controlled group,there was no significant difference in the QFR values of the vessels compared to baseline(P>0.05),whereas in the LDL-C uncontrolled group(P<0.05),a notable decline in QFR was observed.Patients in the LDL-C controlled group had lower rates of maximum diameter and area stenosis and higher minimum lumen diameter and area(all P<0.05).Through multifactorial Logistic regression analysis,it was found that a body mass index＞28 kg/m2,LDL-C≥1.8 mmol/L,and a history of myocardial infarction were independent risk factors leading to the decline in QFR(all P<0.05). Conclusions:It was found that patients in the LDL-C controlled group had higher coronary artery QFR,minimum lumen diameter and area,lower rates of maximum diameter and area stenosis.