1.Clinical analysis of assisted reproductive technology assisted pregnancy outcome in female patients with thyroid cancer after surgery
Xiang YAO ; Wenjuan XU ; Jianye WANG ; Qun GAO ; Gang ZHAO ; Ping ZHOU
Acta Universitatis Medicinalis Anhui 2026;61(1):151-155
ObjectiveTo evaluate the pregnancy outcomes of assisted reproductive technology (ART) in women with a history of thyroid cancer who retained fertility intentions after completing cancer treatment. MethodsA retrospective analysis was performed on 61 patients with a history of thyroid cancer who underwent in vitro fertilization/intracytoplasmic sperm microinjection and embryo transfer (IVF/ICSI-ET). These patients were included as the case group. A total of 122 non-cancer patients who received ART during the same period were selected as the control group using 1∶2 matching based on age and oocyte retrieval time. Baseline characteristics, outcomes of the first ART cycle, and cumulative pregnancy outcomes were compared between the two groups. ResultsThere was no significant difference in the basic data, the total amount of gonadotropin (Gn) and the days of use between the case group and the control group (P>0.05). However, the case group had significantly fewer retrieved oocytes, mature oocytes (MII), lower fertilization and cleavage rates, and fewer transferable and high-quality embryos, as well as fewer embryos transferred during the first cycle (P < 0.05). However, there was no significant difference in the rate of first embryo implantation and first clinical pregnancy between the two groups (P>0.05). In the analysis of cumulative outcomes, the two groups did not show statistically significant differences in the cumulative pregnancy rate, clinical pregnancy rate per transfer cycle, the number of oocyte retrieval cycles required per live birth, the number of embryo transfer cycles required per live birth, and the number of embryos used for each live birth (P>0.05). However, the cumulative live birth rate was significantly lower in the case group compared to the control group (P=0.005). ConclusionAfter treatment for thyroid cancer, when ART is used to help pregnant women, the pregnancy outcome is comparable to that of women without tumors. Individualized reproductive management and timely fertility preservation strategies are recommended to optimize reproductive outcomes in this population.
2.Pharmacological effect and mechanism of tannic acids in Paeoniae Radix Alba.
Jia-Xin DIAO ; Qi-Tong ZHENG ; Meng-Yao CHEN ; Jiang-Chuan HONG ; Min HAO ; Qing-Mei FENG ; Jun-Qi HU ; Xia-Nan SANG ; Gang CAO
China Journal of Chinese Materia Medica 2025;50(6):1471-1483
The chemical composition of Paeoniae Radix Alba(PRA) is complex, with primary secondary metabolites including monoterpenoids, tannins, triterpenoids, and flavonoids. In previous studies on the material basis of PRA, it was found that, in addition to the widely studied characteristic monoterpene glycosides, tannic acid components also play an important role in the efficacy of PRA. However, their pharmacological effects have not been thoroughly investigated. This paper reviews the tannic acid components in PRA, including pentagaloyl glucose(PGG), tetragaloyl glucose(TGG), trigaloyl glucose(TriGG), and gallic acid, along with their structures, properties, and characteristics to provide a detailed discussion of their pharmacological activities and related mechanisms, aiming to offer a theoretical basis for the material basis research and clinical application of PRA.
Paeonia/chemistry*
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Tannins/chemistry*
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Humans
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Drugs, Chinese Herbal/chemistry*
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Animals
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Plant Extracts
3.Identification of Lonicera japonica TPS gene family and expression analysis under aphid damage.
Gang WANG ; Yuan CUI ; Qi-Dong LI ; Lu-Yao HUANG ; Zhen-Hua LIU ; Jia LI
China Journal of Chinese Materia Medica 2025;50(8):2116-2129
This study explores the basic characteristics and potential functions of the terpene synthase(TPS) gene family members in Lonicera japonica. The L. japonica TPS(LjTPS) gene family was identified and functionally analyzed using bioinformatics methods. The results showed that a total of 70 members of the LjTPS gene family were identified in L. japonica, with protein lengths ranging from 130 to 1 437 amino acids. Most of these proteins were hydrophilic, and they were unevenly distributed across nine chromosomes. Phylogenetic analysis showed that the LjTPS gene family members were divided into six subfamilies, mainly consisting of members from the TPS-a, TPS-b, and TPS-e subfamilies. Promoter cis-acting element analysis showed that LjTPS members contained a large number of stress-responsive cis-acting elements. Aphid inoculation experiments showed that key enzyme genes in the MVA pathway for terpenoid backbone synthesis in L. japonica, such as HMGS, HMGR, MK, MPD, and the key enzyme gene in the DXP pathway, DXS, exhibited an initial increase followed by a decrease under aphid stress. The qRT-PCR analysis showed that the expression levels of the α-farnesene synthase genes LjTPS34 and LjTPS39 were down-regulated, while the expression levels of(E)-β-caryophyllene synthase genes LjTPS15 and LjTPS17 were up-regulated 12 h before aphid feeding, then began to decline. Farnesyl pyrophosphate synthase(FPS), which interacted with these genes, also displayed a pattern of increasing followed by decreasing expression. The expression of linalool synthase genes LjTPS12 and LjTPS33 was significantly up-regulated after 72 h of aphid feeding(P<0.000 1), reaching 24.39 and 22.64 times the initial expression, respectively. This pattern was in close alignment with the trend of linalool content in L. japonica. This study provides a theoretical foundation for future research on the interaction between L. japonica and pests, as well as on the functional roles of the LjTPS gene family.
Animals
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Aphids/physiology*
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Alkyl and Aryl Transferases/chemistry*
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Lonicera/parasitology*
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Phylogeny
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Plant Proteins/chemistry*
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Gene Expression Regulation, Plant
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Multigene Family
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Terpenes/metabolism*
4.Complications among patients undergoing orthopedic surgery after infection with the SARS-CoV-2 Omicron strain and a preliminary nomogram for predicting patient outcomes.
Liang ZHANG ; Wen-Long GOU ; Ke-Yu LUO ; Jun ZHU ; Yi-Bo GAN ; Xiang YIN ; Jun-Gang PU ; Huai-Jian JIN ; Xian-Qing ZHANG ; Wan-Fei WU ; Zi-Ming WANG ; Yao-Yao LIU ; Yang LI ; Peng LIU
Chinese Journal of Traumatology 2025;28(6):445-453
PURPOSE:
The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery.
METHODS:
A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications.
RESULTS:
In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram.
CONCLUSION
Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans
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COVID-19/complications*
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Male
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Female
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Middle Aged
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Postoperative Complications/epidemiology*
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SARS-CoV-2
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Orthopedic Procedures/adverse effects*
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Aged
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Nomograms
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Adult
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Retrospective Studies
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Risk Factors
5.Expert consensus on the diagnosis and treatment of cemental tear.
Ye LIANG ; Hongrui LIU ; Chengjia XIE ; Yang YU ; Jinlong SHAO ; Chunxu LV ; Wenyan KANG ; Fuhua YAN ; Yaping PAN ; Faming CHEN ; Yan XU ; Zuomin WANG ; Yao SUN ; Ang LI ; Lili CHEN ; Qingxian LUAN ; Chuanjiang ZHAO ; Zhengguo CAO ; Yi LIU ; Jiang SUN ; Zhongchen SONG ; Lei ZHAO ; Li LIN ; Peihui DING ; Weilian SUN ; Jun WANG ; Jiang LIN ; Guangxun ZHU ; Qi ZHANG ; Lijun LUO ; Jiayin DENG ; Yihuai PAN ; Jin ZHAO ; Aimei SONG ; Hongmei GUO ; Jin ZHANG ; Pingping CUI ; Song GE ; Rui ZHANG ; Xiuyun REN ; Shengbin HUANG ; Xi WEI ; Lihong QIU ; Jing DENG ; Keqing PAN ; Dandan MA ; Hongyu ZHAO ; Dong CHEN ; Liangjun ZHONG ; Gang DING ; Wu CHEN ; Quanchen XU ; Xiaoyu SUN ; Lingqian DU ; Ling LI ; Yijia WANG ; Xiaoyuan LI ; Qiang CHEN ; Hui WANG ; Zheng ZHANG ; Mengmeng LIU ; Chengfei ZHANG ; Xuedong ZHOU ; Shaohua GE
International Journal of Oral Science 2025;17(1):61-61
Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans
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Dental Cementum/injuries*
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Consensus
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Diagnosis, Differential
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Cone-Beam Computed Tomography
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Tooth Fractures/therapy*
6.Deep learning model based on fundus images for detection of coronary artery disease with mild cognitive impairment
Yi YE ; Wei FENG ; Yao-dong DING ; Qing CHEN ; Yang ZHANG ; Li LIN ; Tong MA ; Bin WANG ; Xian-gang CHANG ; Zong-yuan GE ; Xiao-yi WANG ; Long-jun CAI ; Yong ZENG
Chinese Journal of Interventional Cardiology 2025;33(6):303-311
Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50% stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE<27 or MoCA<26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95%CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95%CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95%CI 0.714-0.802),corresponding to a validated AUC of 0.710(95%CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95%CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95%CI 0.719-0.778)and the specificity was 0.561(95%CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95%CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.
7.Correlation between blood biochemical changes and oral microbiota changes in tongue rolling behavior in cows
SAIBOLA·KAMALI ; Lei SUN ; Qiang FENG ; Xinhao WANG ; Xuelian MA ; Na LI ; Yawei SUN ; Qi ZHONG ; Gang YAO
Chinese Journal of Veterinary Science 2025;45(4):825-835
This study aims to investigate the changes in blood biochemical indicators of tongue roll-ing(TR)behavior in cattle and their correlation with changes in oral microbiota,laying a founda-tion for further exploring the relationship between animal oral microbiota,biochemical indicators,and behavioral changes.It also provides theoretical basis for preventing and treating TR behavior through regulating oral microbiota.This study intends to analyze and compare the blood biochemi-cal indicators and changes in oral microbiota of cattle with TR behavior and healthy cattle without TR behavior(healthy control,H),in order to explore the blood biochemical indicators of TR cattle and their correlation with changes in oral microbiota.Blood samples from the caudal vein of cattle in each group were collected for the detection of blood biochemical indicators and stress-related hormone indicators.Oral swabs from cattle in each group were collected for 16S rRNA gene se-quencing to analyze the composition,structure,and functional changes of their oral microbiota.The results of blood biochemical indicators in H and TR groups showed that the concentrations of al-bumin(ALB),aspartate aminotransferase(AST),calcium ion(Ca2+),and cortisol in TR group were significantly higher than those in H group(P<0.05).There were significant differences in beta diversity of oral microbiota between TR and H groups(P<0.05).At the genus level,the rela-tive abundances of Pseudomonas,Enterobacter,Xanthomonas,and other genera in the oral micro-biota of TR group were significantly higher than those in H group(P<0.05).However,the rela-tive abundances of Tessaracoccus,Turicibacter,Monoglobus,Dietzia,Bifidobacterium,and other genera in the oral microbiota of TR group were significantly lower than those in H group(P<0.05).In the KEGG metabolic pathway at the third level,the relative abundances of thiamine me-tabolism,lipoate metabolism,cysteine and methionine metabolism in the oral microbiota of TR group were significantly lower than those in H group(P<0.05).Spearman correlation analysis showed that ALB and AST were significantly positively correlated with the relative abundances of Pseudomonas and Stenotrophomonas.Therelative abundances of Pseudomonas,Stenotrophomonas,and Sphingomonas were significantly positively correlated with fatty acid metabolism,phosphate and phosphonate metabolism,and lipoate metabolism.ALB was significantly positively correlated with inositol phosphate metabolism and phosphate and phosphonate metabolism.The study found that there were significant differences in blood biochemical indicators and oral microbiota between TR and H groups.In addition,there is a certain correlation between the composition,structure,and function of oral microbiota and the biochemical function of the host.This indicates that TR behav-ior may be associated with changes in the biochemical indicators of the host and the composition,structure,and function of oral microbiota.
8.Application of a tiered-categorized-integrated training model in standardized neurology residency training
Yuanmei PAN ; Xiaoying YAO ; Zhiying FENG ; Ruolian DAI ; Gang WANG
Chinese Journal of Medical Education Research 2025;24(10):1365-1371
Objective:To explore the effects of a tiered-categorized-integrated training model in standardized neurology residency training.Methods:This controlled before-and-after study enrolled 109 residents who rotated in the Department of Neurology of Renji Hospital of Shanghai Jiao Tong University School of Medicine from January 2023 to June 2024. Among them, 43 residents from January to July 2023 were assigned to control group to receive the traditional training model, while 66 residents from August 2023 to June 2024 were assigned to observation group to follow the competency-oriented tiered-categorized-integrated training protocol. In the observation group, the residents were categorized into neurology specialty and non-neurology specialty groups to follow a competency-based hierarchical and progressive training approach with systematical optimization and resource integration in terms of faculty allocation, training activities, and assessment evaluations. The effectiveness of the models was evaluated through semi-annual assessments (for neurology specialty), routine assessments and end-of-rotation assessments (for non-neurology specialty), and 360-degree evaluations. SPSS 26.0 was used to perform chi-square tests and t-tests. Results:The non-neurology specialty residents in the observation group significantly outperformed the control group in the total score of end-of-rotation assessments [(90.93±4.21) vs. (86.08±8.98), P=0.004], theoretical examinations [(16.47±2.47) vs. (13.55±5.34), P=0.003], clinical skills [(9.32±0.47) vs. (9.00±0.58), P=0.004], and case analysis [(86.75±5.95) vs. (82.64±11.20), P=0.047]. The neurology specialty residents in the observation group showed a significantly higher physical examination score than the control group [(87.50±8.66) vs. (75.00±8.17), P=0.040]. Furthermore, in the 360-degree evaluation, the observation group exhibited better performance in certain assessment indicators of core competencies, including professional ability, patient management, professionalism, and communication and cooperation ( P<0.05). Conclusions:The tiered-categorized-integrated training model helps residents to better grasp basic knowledge and skills in rotations, and also enhances their core competencies such as professional ability, patient management, and communication and cooperation. This model provides a replicable practical solution for clinical departments to achieve efficient and precise rotation management within the constraints of limited resources.
9.Chinese expert consensus on community-based three-level comprehensive prevention and treatment of Alzheimer's disease(2025 edition)
Ying WANG ; Liang SUN ; Gang WANG ; Chunbo LI ; Houguang ZHOU ; Yifeng DU ; Yunpeng CAO ; Kai WANG ; Jiewen ZHANG ; Yao YAO ; Shangfeng TANG ; Yurong JING ; Qihua XU ; Xizhe PENG ; Yu HU ; Haimei QI
Chinese Journal of Geriatrics 2025;44(3):227-237
Alzheimer's disease(AD), a neurodegenerative disorder associated with aging, is the most prevalent form of dementia.As the aging population continues to expand, AD presents significant health and caregiving challenges for families and society, making it a pressing international public health concern.In recent years, numerous countries have implemented dementia prevention and treatment strategies that emphasize community-based comprehensive approaches.Currently, the community-based AD prevention and treatment model in China is still in the exploratory phase, with community efforts lacking organization.In alignment with China's action plan for advancing dementia prevention and treatment, and to achieve the strategic objective of "healthy aging, " this consensus is based on the principle of three-level prevention and is tailored to the characteristics of AD disease progression.It aims to develop a comprehensive prevention and treatment strategy for AD that is suitable for communities in China, providing technical guidance and support to establish a scientific basis for formulating community AD prevention and treatment models.
10.Effects of PTGS2 knockdown in nasopharyngeal carcinoma treatment by inhibiting tumor-associated macrophage M2 polarization
Chen YAO ; Xin HUANG ; Gang LI ; Zengpei LI ; Zheng LI
Journal of China Medical University 2025;54(7):613-618
Objective To investigate the effect of PTGS2 knockdown on tumor-associated macrophage(TAM)M2 polarization in the treatment of nasopharyngeal carcinoma(NPC).Methods Adenovirus-mediated knockdown of PTGS2 was performed in primary NPC cells.A co-culture system of primary NPC cells and TAMs and a mixed three-dimensional(3D)co-culture of primary NPC cells,TAMs,and human CD8+T cells were established in vitro.The control,Adv-PTGS2 shRNA,and Adv-shRNA NT groups were subjected to in vitro and in vivo experiments.In the co-culture system of primary NPC cells and TAMs,IL-12,IL-10,and TGF-βlevels in the culture superna-tants were determined using the ELISA.MMP-2 and MMP-9 expression levels in primary NPC were determined using Western blotting.In the mixed culture system of the three types of cells,cell viability was measured using the CCK-8 method.IFN-γand GZMBmRNA levels were determined using qPCR.The three types of cell-mixed cultures were injected subcutaneously into xenografts,and tumor growth was monitored for 21 d.Results Compared with control group,IL-12 levels increased and IL-10 and TGF-βlevels decreased in the culture supernatant of Adv-PTGS2 shRNA cells(P<0.05).MMP-2 and MMP-9 expression levels in primary NPC decreased(P<0.05).Com-pared with the control group,CD8+T cell proliferation ability and relative IFN-γand GZMBmRNA expression levels increased(P<0.05 for both experiments)in the Adv-PTGS2 shRNA cells.Compared with the control group,the Adv-PTGS2 shRNA group showed slower tumor growth(P<0.05)and lower tumor mass(P<0.05)in in vivo xenografts.Conclusion PTGS2knockdown inhibited TAM M2 pola-rization,regulated the immune-hot state in the tumor microenvironment,and inhibited NPC growth.

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