1.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
2.Prognostic Significance of Progression of Disease within 24 Months in Mantle Cell Lymphoma
Rui-Xue MA ; Qian-Qian ZHANG ; Hui-Min CHEN ; Jin HU ; Feng-Yi LU ; Qian-Nan HAN ; Zhen-Yu LI ; Kai-Lin XU ; Wei CHEN
Journal of Experimental Hematology 2024;32(3):702-707
Objective:To investigate the effect of progression of disease within 24 months(POD24)on overall survival(OS)in patients with mantle cell lymphoma(MCL),and compare the clinical characteristics between POD24 and non-POD24 patients.Methods:A retrospective analysis was performed on 50 MCL patients with treatment indications and regular treatment who were admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to August 2020.According to the occurrence of POD24,the patients were grouped for prognostic evaluation and clinical characteristics comparison.Results:Univariate Cox regression analysis showed that POD24,PLT,albumin,MIPI score,ECOG PS score,LDH were the factors influencing OS in newly diagnosed MCL patients(all P<0.05).The results of multivariate Cox regression analysis showed that POD24[HR=16.797(95%CI:3.671-76.861),P<0.001],albumin<40 g/L[HR=3.238(95%CI:1.095-9.572),P=0.034]and ECOG PS score≥2[HR=4.005(95%CI:1.033-15.521),P=0.045]were independent risk factors influencing OS in MCL patients.The incidence of PLT<100 × 109/L(33.3%vs 5.9%,P=0.033)and ECOG PS score≥2(45.5%vs 5.9%,P=0.040)were significantly higher in POD24 patients than those in non-POD24 patients.Conclusion:POD24 is an independent poor prognostic factor affecting the OS of MCL patients,and the patients with PLT<100 × 109/L and ECOG PS score ≥2 at diagnosis have a higher probability of POD24.
3.Effect of Endothelial Activation and Stress Index(EASIX)on Prognosis of Peripheral T-Cell Lymphoma Patients
Hui-Min CHEN ; Rui-Xue MA ; Qian-Qian ZHANG ; Feng-Yi LU ; Jin HU ; Qian-Nan HAN ; Zhen-Yu LI ; Kai-Lin XU ; Wei CHEN
Journal of Experimental Hematology 2024;32(5):1394-1400
Objective:To investigate the effect of endothelial activation and stress index(EASIX)on the prognosis of patients with angioimmunoblastic T-cell lymphoma(AITL)and peripheral T-cell lymphoma,not otherwise specified(PTCL-NOS),and to compare the clinical characteristics of patients in the low EASIX and high EASIX groups.Methods:The clinical data of 59 newly diagnosed AITL and PTCL-NOS patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to September 2021 were retrospectively analyzed.The optimal cut-off value of EASIX was determined by receiver operating characteristic(ROC)curve;The chi-square test was used to analyze the correlation between EASIX and clinical features of patients with AITL and PTCL-NOS;The Kaplan-Meier survival curve was used to analyze the overall survival(OS)and progression-free survival(PFS)of the patients;Univariate and multivariate analyses were performed by using Cox proportional hazards model.Results:The optimal cut-off value of EASIX was 0.95,based on which the patients were divided into a low EASIX(<0.95)group and a high EASIX(≥ 0.95)group.Compared with the low EASIX group,the high EASIX group had a higher proportion of patients with advanced Ann Arbor stage,higher risk according to IPI,elevated LDH,hypoproteinemia,anemia,B symptoms,extranodal involvement,and bone marrow involvement.Survival analysis showed that the OS and PFS of patients in the high EASIX group were significantly shorter than those in the lower EASIX group(P<0.001).The multivariate analysis showed that EASIX was an independent risk factor for OS[HR=7.217(95%CI:1.959-26.587),P=0.003]and PFS[HR=2.718(95%CI:1.032-7.161),P=0.043]of PTCL patients.Conclusion:High EASIX in newly diagnosed patients with AITL and PTCL-NOS suggests a poor prognosis,and high EASIX is a risk factor affecting prognosis of the patients.
4.Sentinel surveillance data of influenza in Hunan Province from 2014 to 2023
Xiao-Lei WANG ; Chao-Yang HUANG ; Qian-Lai SUN ; Zhi-Hong DENG ; Yi-Wei HUANG ; Shan-Lu ZHAO ; Kai-Wei LUO ; Xiang REN ; Sheng-Bao CHEN ; Zhi-Hui DAI
Chinese Journal of Infection Control 2024;23(11):1413-1420
Objective To understand the prevalence characteristics of influenza and changes of influenza virus strains,and provide reference for the prevention and control of influenza in the province.Methods Surveillance da-ta about influenza in Hunan Province from 2014 to 2023 were exported from China Influenza Surveillance Informa-tion System.Differences in the percentage of influenza-like illness(ILI)cases(percentage of influenza-like cases[ILI%]in outpatient and emergency department visits)among different years and different populations,as well as the positive rate of influenza virus in ILI specimens were compared.Results From 2014 to 2023,over 2.65 million cases of ILI were reported,with an ILI%of 4.70%.ILI%among different years presented statistically significant differences(P<0.001).People aged 0-14 years old were the main population with ILI,accounting for 82.90%.The positive rate of influenza virus in ILI specimens was 14.14%,the positive rate of influenza virus among diffe-rent years and age groups were both significantly different(both P<0.001).The main prevalent influenza strains from 2014 to 2023 included types A(H1N1),A(H3N2),B(Victoria),and B(Yamagata),alternating among di-fferent years.However,type B(Yamagata)strains were not detected from 2020 to 2023.There were basically two influenza prevalence seasons every year,namely winter-spring and summer.Conclusion People<15 years old are the main population of influenza,and the prevalence peaks are in winter-spring and summer.From 2021 to 2023,the prevalence alternates mainly among 3 types:A(H1N1),A(H3N2),and B(Victoria).
5.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
6.Effects and mechanism of aucubin on malignant biological behavior of breast cancer cells
Yunhui SI ; Kai JIANG ; Liquan QIAN ; Yongshun CHEN ; Huijie BIE
China Pharmacy 2024;35(8):918-924
OBJECTIVE To investigate the effects of aucubin (Auc) on the malignant biological behavior of breast cancer cells by regulating cyclin-dependent kinase 1(CDK1)/cyclin B1(CCNB1)/Polo-like kinase 1 (PLK1) signaling pathway. METHODS Human breast cancer cells MCF-7 were divided into control group, Auc low-, medium- and high-concentration groups (AUC-L, AUC-M, AUC-H groups, 20, 40 and 80 μmol/L Auc), Auc-H+pcDNA-NC group (80 μmol/L Auc+transfected pcDNA- NC plasmid), and Auc-H+pcDNA-CDK1 group (80 μmol/L Auc+transfected pcDNA-CDK1 plasmid). Cell proliferation, clonal formation, invasion and migration abilities, apoptosis and cycle distribution, and the expressions of related proteins of apoptosis, epithelial-mesenchymal transformation (EMT) and CDK1/CCNB1/PLK1 signaling pathway were detected in each group. The transplanted tumor model of BALB/c nude mice was established by subcutaneous inoculation of MCF-7 cell suspension, and the mice were divided into control group and Auc group (12 mice in each group). The tumor volume, mass and the expressions of related proteins of CDK1/CCNB1/PLK1 signaling pathway in tumor tissues were detected. RESULTS Compared with control group, the number of clonal formation, proliferation rate, cell invasion number, scar healing rate, G1/G0 phase and S phase cell proportions, and the expressions of B cell lymphoma-2 (Bcl-2), N-cadherin, fibronectin, CDK1, CCNB1 and PLK1 were decreased significantly (P<0.05). The apoptotic rate, G2/M phase cell proportion and the expressions of Bcl-2 associated X protein and E-cadherin were significantly increased, in a dose-dependent manner (P<0.05). Compared with the Auc-H+pcDNA-NC group, there was no statistical significance in the above indexes in the Auc-H group (P>0.05), while the above indexes in the Auc-H+ pcDNA-CDK1 group were significantly reversed (P<0.05). Compared with the control group, the tumor volume and mass, and the expressions of CDK1, CCNB1 and PLK1 in tumor tissue of Auc group were significantly decreased (P<0.05). CONCLUSIONS Auc can inhibit the proliferation, invasion and migration of breast cancer cells, induce cell cycle arrest, and inhibit the progression of EMT, which may be related to inhibiting the activation of the CDK1/CCNB1/PLK1 signaling pathway.
7.Visualization Analysis of Artificial Intelligence Literature in Forensic Research
Yi-Ming DONG ; Chun-Mei ZHAO ; Nian-Nian CHEN ; Li LUO ; Zhan-Peng LI ; Li-Kai WANG ; Xiao-Qian LI ; Ting-Gan REN ; Cai-Rong GAO ; Xiang-Jie GUO
Journal of Forensic Medicine 2024;40(1):1-14
Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.
8.A retrospective analysis of pathological features of papillary thyroid carcinoma with Hashimoto’s thyroiditis
Liyuan SHI ; Qian YUAN ; Mengge ZHU ; Chonggao WANG ; Xu CHEN ; Moyan SUN ; Kai LU
Chinese Journal of Endocrine Surgery 2024;18(1):69-73
Objective:To analyze and compare the pathological data characteristics of patients with simple papillary thyroid carcinoma (PTC) and PTC combined with Hashimoto’s thyroiditis (HT), so as to provide clinical treatment ideas.Methods:A retrospective analysis was performed on the medical records of 326 PTC patients who met the requirements and underwent surgical treatment in the Department of Thyroid and Breast Surgery, Nanjing Hospital of Traditional Chinese Medicine from Jan. 2020 to May. 2022. There were 81 males and 245 females. They were divided into PTC group and HT-PTC group, according to whether they were combined with HT. Clinical data were collected and organized. The collection indicators included patient gender, age, body mass index (BMI), five preoperative thyroid function items including free triiodothyronine (FT3), free thyroxine (FT4), triiodothyronine (T3), thyroxine (T4), thyroid stimulating hormone (TSH), BRAF gene mutation, single or bilateral lesions, single or multiple lesions, largest postoperative pathological tumor lesions diameter, cervical lymph node metastasis (LNM) status, etc. At the same time, all patients were divided into CLNM group and no CLNM group according to CLNM status. The two groups were compared in terms of gender, age ≥55 years old, whether combined with HT, number of lesions, unilateral and bilateral, extraglandular invasion, microcarcinoma, and BRAF gene. Statistical software was used to analyze the results. t test, χ2 test, and logistic regression analysis were adopted. P<0.05 indicates that the difference is statistically significant. Results:The proportion of female patients in both groups was higher, and the proportion of female patients in the HT-PTC group (90/100, 90%) was higher than that in the PTC group (155/226, 69.59%). HT-PTC patients were younger than patients in the PTC group (43.03±12.72 vs. 43.70±12.63) years old, and their TSH (2.71±1.69 vs. 2.02±1.46) uIU/mL was higher. The differences were statistically significant (all P<0.05). There were no statistically significant differences in BMI, FT3, FT4, T3, or T4 (all P>0.05). The HT-PTC group had a lower proportion of BRAF gene mutations [87/100 (87%) vs. 212/226 (93.8%) ], a smaller maximum tumor diameter (1.06±0.73 vs. 1.32±0.97 cm), and a lower proportion of CLNM [37 /100 (37%) vs. 118/226 (52.2%) ]. The number of LNMs with metastasis is less (3.33±2.21 vs. 4.76±4.00), and it was more likely to be multifocal [44/100 (44%) vs. 73/226 (32.74%) ]. All differences were statistically significant (all P<0.05), and the differences in bilateral gland lobes involvement and extra-glandular invasion were not statistically significant. When accompanied by CLNM, gender (male vs. female) [55/100 (35.45%/64.52%) vs. 26/145 (15.2%/84.85%) ], age ≥ 55 years (yes vs. no) [21/134 (13.55) %/86.45%) vs. 50/121 (29.24%/70.76%) ], HT (yes vs. no) [37/118 (23.87%/76.13%) vs. 63/108 (36.84%/63.16%), number of lesions (single focus vs. multiple focus) [90/65 (41.94%/50.06%) vs. 119/52 (69.59%/30.41%) ], microcarcinoma (yes vs. no) [83/72 (53.55%/45.45%) vs. 139/32 (81.29%/18.71%) ] and extraglandular invasion (with vs. without) [38/117 (24.52%/75.48%) vs. 27/144 (17.42%/84.21%) ] had statistics significance (both P<0.05). There was no statistical significance in bilateral lesion involvement or BRAF gene mutation (all P>0.05). Multivariate logistic regression analysis showed that age, microcarcinoma, HT, gender, and number of lesions were independent risk factors for CLNM, and male gender and multifocal cancer were risk factors for CLNM. Age ≥55 years, microcarcinoma, and combined HT were negatively associated with CLNM. Conclusions:HT may promote the occurrence of PTC, but can inhibit its development. In the short term, patients with HT can have a better prognosis than those with simple PTC.
9.Mechanism research progress of traditional Chinese medicine intervening in lung cancer by regulating p53 signaling pathway
Qian MA ; Ya LI ; Yizhao MA ; Kai CHEN ; Yuanyuan WANG ; Hailong ZHANG
China Pharmacy 2024;35(11):1403-1407
Lung cancer, the most common malignant tumor, is characterized by a complex pathogenesis and high malignancy, and poses a significant threat to the health and lives of affected individuals. p53 signaling pathway plays a crucial role in the progression of lung cancer and is considered one of the potential targets for targeted therapy. In recent years, multiple studies have indicated that traditional Chinese medicine (TCM) can exert anticancer effects by modulating the p53 signaling pathway. Based on this, this article systematically summarizes the current status and progress of research on TCM intervening in lung cancer by regulating p53 signaling pathway. It was found that TCM formula and preparations, such as Qingjin desheng tablet, Tiaoqi xiaoji decoction, Bufei tongluo jiedu formula, Jianpi bushen formula and Yiqi fuzheng jiedu formula, can promote autophagy and apoptosis of lung cancer cells, inhibit the growth and metastasis of lung cancer cells and strengthen the immune function of the body by activating p53 signaling pathway, thereby inhibiting lung cancer. TCM monomers, such as pseudoginsenoside-Rh2, saikosaponin D, polyphyllin Ⅶ, dendrobiine, sophoridine, gambogic acid, triptolide and triptolide succinate monoester YJ-4, can accelerate cell apoptosis, inhibit the proliferation of lung cancer cells and regulate cell cycle by activating p53 signaling pathway, thereby inhibiting lung cancer.
10.Mechanism research progress of traditional Chinese medicine intervening in lung cancer by regulating p53 signaling pathway
Qian MA ; Ya LI ; Yizhao MA ; Kai CHEN ; Yuanyuan WANG ; Hailong ZHANG
China Pharmacy 2024;35(11):1403-1407
Lung cancer, the most common malignant tumor, is characterized by a complex pathogenesis and high malignancy, and poses a significant threat to the health and lives of affected individuals. p53 signaling pathway plays a crucial role in the progression of lung cancer and is considered one of the potential targets for targeted therapy. In recent years, multiple studies have indicated that traditional Chinese medicine (TCM) can exert anticancer effects by modulating the p53 signaling pathway. Based on this, this article systematically summarizes the current status and progress of research on TCM intervening in lung cancer by regulating p53 signaling pathway. It was found that TCM formula and preparations, such as Qingjin desheng tablet, Tiaoqi xiaoji decoction, Bufei tongluo jiedu formula, Jianpi bushen formula and Yiqi fuzheng jiedu formula, can promote autophagy and apoptosis of lung cancer cells, inhibit the growth and metastasis of lung cancer cells and strengthen the immune function of the body by activating p53 signaling pathway, thereby inhibiting lung cancer. TCM monomers, such as pseudoginsenoside-Rh2, saikosaponin D, polyphyllin Ⅶ, dendrobiine, sophoridine, gambogic acid, triptolide and triptolide succinate monoester YJ-4, can accelerate cell apoptosis, inhibit the proliferation of lung cancer cells and regulate cell cycle by activating p53 signaling pathway, thereby inhibiting lung cancer.

Result Analysis
Print
Save
E-mail