Objective To investigate the effect of levosimendan on the cyclic guanosine monophosphate-adenosin monophosphate synthase-interferon gene stimulating factor(cGAS-STING)signaling pathway during suspension-reperfusion in isolated rat myocardium.Methods The rats were divided into four groups(n=12)using random number table:continuous perfusion group(CO group),suspension-reperfusion group(SR group),suspension-reper-fusion+levosimendan group(SR-L group),and suspension-reperfusion+levosimendan+STING activator:DMXAA group(SR-LD group).Heart rate(HR),left ventricular end-diastolic pressure(LVEDP),left ventricular develop-mental pressure(LVDP),maximum rate of increase in left ventricular pressure(+dp/dtmax)and maximum rate of decrease in left ventricular pressure(-dp/dtmax),and Reperfusion Arrhythmia scores were recorded at the end of equilibrium perfusion(T0),30 min of reperfusion(T1),and 60 min of reperfusion(T2)respectively.Western blot was used to detect cGAS-STING signaling pathway and autophagy-related protein expression.The size of myocardial infarction was measured by using triphenyl tetrazolium chloride(TTC).Results Compared with CO group,SR group had decreased HR,LVDP,+dp/dtmax,and-dp/dtmax at T1 and T2,increase of LVEDP,Reperfusion Arrhythmia score,percentage of myocardial infarcted area,expression of myocardial tissue cGAS and STING pro-teins and increased LC3 Ⅱ/Ⅰratio,while p62 decreased(P<0.05);compared with SR group,SR-L group car-diac function indexes improved,myocardial tissue cGAS,STING protein expression was down-regulated,LC3 Ⅱ/Ⅰ ratio was decreased,and p62 was elevated(P<0.05);SR-LD group reversed the improvement of myocardial injury by levosimendan compared with SR-L.Conclusions Levosimendan may protect myocardial tissue by inhibi-ting the cGAS-STING signaling pathway,down-regulating cardiomyocyte autophagy and reducing myocardial infarc-tion size,so to improve cardial function.

Background and purpose:Effective treatment for cervical cancer patients is one of the global strategies to eliminate cervical cancer.By analyzing the metastasis characteristics and survival status of patients with distant metastasis of cervical cancer from a hospital-based cancer registry data,our study provided real-world evidence for better survival of cervical cancer and finally eliminating cervical cancer.Methods:A total of 572 cervical cancer patients who had metastasis cancer at the initial diagnosis or developed distant metastasis during follow-up in Fudan University Shanghai Cancer Center from 2008 to 2017 were included in this study.Medical records review,telephone visits and death registry data linkage were applied in collecting endpoint data.The first follow-up date was the diagnose date of metastasis,and the last follow-up date was November 1,2020.Kaplan-Meier method was applied in evaluating the 1-,3-and 5-year overall survival(OS)rates for overall and site-specific patients.Results:The median follow-up time was 38.93 months,and 348 cases died during the follow-up.72.55%were single site metastasis,and 27.45%were multiple metastases.Among all metastatic sites,the proportion of lung metastasis was the highest,41.26%,15.21%to bone,and 11.54%to liver.After metastasis,the 1-year,3-year and 5-year OS rates were 62.29%(95%CI:62.25-62.33),33.13%(95%CI:33.08-33.18)and 23.42%(95%CI:23.37-23.47),respectively.In single site metastasis,1-year OS was the highest after metastasis to the lung(72.52%).Besides,there was no significant difference among different metastatic sites,both in 3-year and 5-year OS.Conclusion:The most frequent distant metastatic sites of cervical cancer are lung,bone and liver.The survival rate after metastasis is poor.Further research with systematic treatment strategy is required for better survival.

Objective:To investigate the clinicopathological features, immunophenotype and differential diagnosis of clear cell hidradenoma, and to analyze the origin of clear cell hidradenoma and the underlying mechanism.Methods:The clinical data of 23 cases of clear cell hidradenoma who underwent surgical resection in Suzhou Municipal Hospital between December 2017 and July 2021 were retrospectively analyzed. Clinical manifestation, imaging features, pathological features and prognosis of the 23 cases of clear cell hidradenoma were analyzed. Expression levels of epithelial membrane antigen, cytokeratin 20, cytokeratin 7, cytokeratin 14, carcinoembryonic antigen, and gross cystic disease fluid protein 15 were detected by immunohistochemical staining technique using the EnVision system. Periodic acid-Schiff (PAS) staining was performed to visualize glycogen.Results:Among the 23 cases, 8 were male and 14 were female, aged 14-94 years, with a median age of 55 years. The first symptom of clear cell hidradenoma was epidermal bulgels in 18 cases.Contrast ultrasonography showed a subcutaneous cystic solid echo mass with abundant blood flow in the solid part. The tumor histologically consisted of two types of cells: secretory epithelial cells or glandular epithelial cells and clear cells. Twenty cases had tumors with the features of benign clear cell hidradenoma. Two cases had atypical clear cell hidradenoma with atypia and mitosis. One case had malignant clear cell hidradenoma. Tumor cells were positive for epithelial membrane antigen, cytokeratin 7, cytokeratin 14, carcinoembryonic antigen, and gross cystic disease fluid protein 15 and they were Periodic acid-Schiff-positive. Twenty-three patients were followed up for 2-36 months, of which 4 were lost to follow-up and the rest had no recurrence of clear cell hidradenoma.Conclusion:Clear cell hidradenoma is rare and has a good prognosis. Malignant clear cell hidradenoma is rarer and has a poor prognosis. Diagnosis of clear cell hidradenoma is mainly based on comprehensive analysis of pathological features and immunophenotypes. Clear cell hidradenoma should be differentiated from metastatic clear cell carcinoma, spiral adenoma, cortical adenoma, and malignant melanoma.

Objective:To explore the correlation among childhood trauma, obsessive-compulsive symptoms, and implicit and explicit memory in patients with obsessive-compulsive disorder(OCD).Methods:Fifty-two OCD patients were enrolled, and the childhood trauma was investigated by using the childhood trauma questionnaire short-form(CTQ-SF). The degree of obsessive-compulsive symptoms was assessed by using the Yale-Brown obsessive symptoms scale (Y-BOCS). In addition, the abilities of implicit memory and explicit memory were tested by vocabulary perception speed tasks and vocabulary recognition tasks.According to the scores of CTQ-SF, the patients were divided into abuse group( n=26) and neglect group( n=26). SPSS 22.0 software was used for t-test and Pearson correlation analysis. Results:Results of obsessive-compulsive symptoms, implicit memory, and explicit memory showed no differences between the abuse group and the neglect group( t=-1.959-1.839, P>0.05). The scores of obsessions symptoms(12.52±4.61) were positively correlated with the total scores of CTQ-SF (40.10±10.20)( r=0.331, P<0.05). On the subscale, the scores of obsessions were positively correlated with the scores of physical abuse(7.89±3.02), sexual abuse(6.47±2.28)( r=0.373, P<0.01, r=0.356, P<0.05). There was a negative correlation between the scores of physical abuse and the accuracy of explicit memory(68.75±13.33)( r=-0.281, P<0.05). The scores of physical neglect(8.98±2.67) was positively correlated with implicit memory response time(4 285.94±2 067.42)( r=0.314, P<0.05). Conclusion:Obsessions in patients with OCD are related to traumatic childhood experiences, especially physical abuse and sexual abuse.Physical trauma may influence the level of implicit and explicit memory in patients with OCD.

Objective To analyze the literatures about artificial intelligence in cancer research in Web of Science (WOS) core collection database in 2010-2019 and summarize research hot spots and development trends. Methods Through bibliometrics methods and CiteSpace information visualization software, we applied the visual analysis of relevant literature on artificial intelligence in the field of cancer research retrieved from the Web of Science core collection database from 2010 to 2019. Results The number of published articles about artificial intelligence in the field of cancer research had been increasing year by year. The United States ranked first in the number of published articles in this field, the number of citations and cooperation capabilities. Although the number of published articles in China ranked the second, the number of citations was low. The hot spots of artificial intelligence in cancer research were mainly breast cancer and lung cancer. Machine learning, neural network and other methods were used to build models, which were used in basic cancer research, clinical diagnosis, treatment and prognosis prediction. The research frontiers were the methodological research of artificial intelligence, the research on the occurrence and classification of cancer and the research of protein in this field. Conclusion It will effectively promote the development of artificial intelligence in cancer research in China by learning the hot spots and cutting-edge technologies of international research, focusing on international cooperation and cooperation among national institutions and strengthening cross-disciplinary research.

Objective:To investigate the relationship between metabolic syndrome (MS) and the risk of breast cancer in Chinese females.Methods:From May 2006 to December 2015, based on the Kailuan Women′s Dynamic Cohort,a total of 25 618 female employees and retirees of the Kailuan Group were included and followed. Questionnaire surveys, physical measurements and laboratory tests were used to collect baseline sociodemographic characteristics, height, weight, blood glucose, blood lipids, blood pressure, tumor incidence and outcome information. Cox proportional hazards regression models were used to analyze the relationship between MS and its components (body mass index, blood pressure, blood glucose and blood lipid) and the risk of breast cancer in females.Results:The age of 25 618 women was (47.65±12.02) years old and median follow-up time was 8.78 years; 235 new cases of breast cancer were detected, and the incidence density was 113.19/100 000 person-years. After adjusting for age, education, income, smoking status, drinking status and other factors, people who were overweight or obese had a higher risk of breast cancer, with HR (95% CI) about 1.47 (1.12-1.93), than those with normal body mass index. Compared with those without MS abnormal components, women with two MS abnormal components had an increased risk of breast cancer ( HR=1.70, 95% CI: 1.16-2.50). With the increase of the number of MS abnormal components, the risk of breast cancer increased gradually ( Ptrend value<0.05). Conclusion:Overweight/obesity and the number of abnormal components of MS can increase the risk of breast cancer in women.

Objective:To investigate the relationship between metabolic syndrome (MS) and the risk of breast cancer in Chinese females.Methods:From May 2006 to December 2015, based on the Kailuan Women′s Dynamic Cohort,a total of 25 618 female employees and retirees of the Kailuan Group were included and followed. Questionnaire surveys, physical measurements and laboratory tests were used to collect baseline sociodemographic characteristics, height, weight, blood glucose, blood lipids, blood pressure, tumor incidence and outcome information. Cox proportional hazards regression models were used to analyze the relationship between MS and its components (body mass index, blood pressure, blood glucose and blood lipid) and the risk of breast cancer in females.Results:The age of 25 618 women was (47.65±12.02) years old and median follow-up time was 8.78 years; 235 new cases of breast cancer were detected, and the incidence density was 113.19/100 000 person-years. After adjusting for age, education, income, smoking status, drinking status and other factors, people who were overweight or obese had a higher risk of breast cancer, with HR (95% CI) about 1.47 (1.12-1.93), than those with normal body mass index. Compared with those without MS abnormal components, women with two MS abnormal components had an increased risk of breast cancer ( HR=1.70, 95% CI: 1.16-2.50). With the increase of the number of MS abnormal components, the risk of breast cancer increased gradually ( Ptrend value<0.05). Conclusion:Overweight/obesity and the number of abnormal components of MS can increase the risk of breast cancer in women.

The cohort study of lung cancer in high-risk population in communities in China was a part of Lung Cancer Cohort Study initiated in 2017 and funded by Precision Medicine Research of National Key Research and Development Program. Around 50 000 participants from the communities were enrolled from 7 cities in 7 regions in China. Information about the risk factors for lung cancer were collected and the populations at high risk for lung cancer were identified. Then, low-dose CT (LDCT) screening of lung cancer was conducted in the populations at high risk, and further information about the diagnosis of lung cancer cases and death cases were collected. Therefore, a community population-based cohort was established for lung cancer risk factor exposure survey, high risk population evaluation, LDCT screening and lung cancer case and death follow up. Meanwhile, biological samples were collected from all the participants in the cohort to support the future precision medicine research of lung cancer.

OBJECTIVE：To compare chemical composition types and ginsenoside content of Panax notoginseng flowers with different growing years ，and to explore the effect of growing year on the quality of P. notoginseng flowers. METHODS ：Each 10 batches of biennial，triennial and quadrennial P. notoginseng flower were collected and determined by HPLC. The determination was performed on Shim-pack GIST C 18 column with mobile phase consisted of acetonitrile- 0.05％ phosphoric acid solution （gradient elution ）at the flow rate of 0.5 mL/min. The column temperature was set at 30 ℃，and the detection wavelength was set at 203 nm. The sample size was 20 μL. Similarity Evaluation System of TCM Chromatogram Fingerprint was used to establish the fingerprint of 30 batches of samples ，identify the diagnostic components and analyze the similarity. Cluster analysis was conducted by using SPSS 22.0 software. The contents of ginsenoside Rb 1，Rb2，Rb3 and Rc in 30 batches of P. notoginseng flower with different growing years were determined by above HPLC . The quality control analysis was conducted by using SPSS 22.0 software. RESULTS：Established fingerprint showed good precision ，stability and reproducibility. There were good linear relationship （R2＞ 0.999），quantitative limit ，precision，stability，repeatability and accuracy of the content determination method . Six common components as ginsenoside Rb 1， Rb2， Rb3 and Rc were Δ 基金项目：云南省地方高校联合专项（No.KX182504Y） identified in P. notoginseng flower with different growing ＊助教，硕士。研究方向：中药资源开发 。电话：0876-2684947。 E-mail：wshuangzaiqiang@163.com years by fingerprint ；ginsenoside Rd was identified in triennial # 通信作者 ：研究员，硕士。研究方向 ：中药资源开发 。电话： P. notoginseng flower. The similarities of the fingerprints 0876-8883731。E-mail：gaomingju@163.com among 10 batches of biennial ，triennial and quadrennial P. 中国药房 2020年第31卷第8期 China Pharmacy 2020Vol. 31 No. 8 ·969· notoginseng flower were 0.881，0.952 and 0.945，respectively. The similarity among samples with different growing ye ars was more than 0.817. Thirty batches of P. notoginseng flower could be grouped into 4 categories，the category Ⅱ was quadrennial samples，the category Ⅲ was triennial samples ，while the categories Ⅰ and Ⅳ were mostly biennial samples and a small number of triennial and quadrennial samples. RSDs of 4 ginsenosides contents and their total contents in biennial samples were 8.90％-21.43％ and total saponin contents were 11.65％-17.76％，respectively. RSDs of 4 ginsenosides contents and their total contents in triennial samples were 6.45％-14.23％，and total saponin contents were 15.74％-19.30％. RSDs of 4 ginsenosides contents and their total contents in quadrennial samples were 7.50％-18.86％，and total saponin contents were 15.92％-20.16％. The results of quality control analysis showed that biennial samples mainly distributed in the areas of Ⅱ and Ⅲ ；triennial and quadrennial samples mainly distributed in the areas of Ⅰ and Ⅱ ；the order of ginsenosides content was Ⅰ ＞Ⅱ ＞Ⅲ. CONCLUSIONS：Chemical components of P. notoginseng flower with different growing years are generally close in types but there still a re some differences ，among which the content of ginsenosides in biennial samples is lower ，fluctuates more ，and the overall quality is slightly poor ；the content of ginsenosides in triennial and quadrennial samples is higher ，fluctuates less ，and the overall quality is higher and tends to be stable.

Objective:To systematically understand the global research progress in the construction and validation of lung cancer risk prediction models.Methods:"lung neoplasms" , "lung cancer" , "lung carcinoma" , "lung tumor" , "risk" , "malignancy" , "carcinogenesis" , "prediction" , "assessment" , "model" , "tool" , "score" , "paradigm" , and "algorithm" were used as search keywords. Original articles were systematically searched from Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, Cochrane, and Web of Science) published prior to December 2018. The language of studies was restricted to Chinese and English. The inclusion criteria were human oriented studies with complete information for model development, validation and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese dissertation papers, and research materials such as reviews, letters, and news reports. A total of 33 papers involving 27 models were included. The population characteristics of all included studies, study design, predicting factors and the performance of models were analyzed and compared.Results:Among 27 models, the number of American-based, European-based and Asian-based model studies was 12, 6 and 9, respectively. In addition, there were 6 Chinese-based model studies. According to the factors fitted into the models, these studies could be divided into traditional epidemiological models (11 studies), clinical index models (6 studies), and genetic index models (10 studies). 15 models were not validated after construction or were cross-validated only in the internal population, and the extrapolation effect of models was not effectively evaluated; 8 models were validated in single external population; only 4 models were verified in multiple external populations (3-7); the area under the curve (AUC) of models ranged from 0.57 to 0.90.Conclusion:Research on risk prediction models for lung cancer is in development stage. In addition to the lack of external validation of existing models, the exploration of potential clinical indicators was also limited.