Objective To establish dynamic nomogram models for postoperative recurrence and survival risk of patients with AFP-negative hepatocellular carcinoma(ANHC)based on multimodal clinical data,to identify ANHC-specific prognostic biomarker combinations by integrating tumor biological characteristics and treatment response parameters through machine learning,and to provide an individualized risk assessment tool for overcoming the limitations of traditional serum biomarkers.Methods A retrospective analysis was performed for 421 ANHC patients who underwent hepatectomy in Eastern Hepatobiliary Surgery Hospital from April 2012 to December 2018,and they were randomly divided into training group with 210 patients and validation group with 211 patients.The univariate and multivariate Cox proportional-hazards regression models were used to identify independent prognostic factors and establish a nomogram model,and the receiver operating characteristic(ROC)curve,the calibration curve,and the decision curve analysis were used to assess the performance of the model.Related indicators were measured,including prealbumin(PA),white blood cell count(WBC),tumor size,and microvascular invasion.The chi-square test or the Fisher's exact test was used for comparison of categorical variables between two groups,and the independent-samples t test or the Mann-Whitney U test was used for comparison of continuous variables between two groups.Results The multivariate analysis showed that multiple tumors(hazard ratio[HR]=3.30,P<0.001),WBC(HR=1.05,P=0.005),blood glucose(HR=1.15,P=0.026),CA19-9(HR=1.17,P=0.005),and tumor size(HR=1.17,P<0.001)were independent risk factors for disease-free survival(DFS),while PA(HR=0.99,P=0.022)was a protective factor.Incomplete tumor capsule(HR=0.60,P=0.009),age(HR=1.02,P=0.035),prothrombin time(PT)(HR=1.27,P=0.023),CA19-9(HR=1.01,P<0.001),and tumor size(HR=1.15,P<0.001)were independent risk factors for overall survival(OS).The DFS nomogram achieved an AUC of 0.74(95%confidence interval[CI]:0.64-0.84)in the training group and 0.67(95%CI:0.57-0.77)in the validation group,while the OS nomogram had an AUC of 0.76(95%CI:0.64-0.88)and 0.73(95%CI:0.60-0.87),respectively.The calibration curve and the decision curve analysis showed that the models had good predictive accuracy and clinical practicability.Conclusion Preoperative indicators,including tumor number,PA,WBC,and tumor size,can effectively predict postoperative recurrence in ANHC patients,while tumor capsule integrity,age,and PT are significantly associated with OS.The nomogram models established have good performance and can provide a basis for individualized prognostic assessment.

[Purpose]To analyze cancer incidence and mortality in Xinjiang cancer registration ar-eas in 2020 and the trends from 2016 to 2020.[Methods]Incidence and mortality data of cancer reported by four cancer registration areas in Xinjiang in 2020 were collected.Crude incidence and mortality rates,age-standardized incidence and mortality rates by Chinese standard population(ASIRC/ASMRC),and world standard population(ASIRW,ASMRW),and cumulative rate(0～74 years old)were calculated.The Chinese standard population(2000 national census)and Segi's world standard population were used for standardization.Joinpoint regression was applied to ana-lyze the trends of incidence and mortality from 2016 to 2020,and the average annual percentage change(AAPC)was calculated.[Results]In 2020,the crude incidence rate of cancer in Xinjiang cancer registration areas was 291.67/105(286.64/105 for male,296.64/105 for female),ASIRC and ASIRW were 190.43/105 and 206.58/105,and the cumulative incidence rate(0～74 years old)was 20.51％.The crude mortality rate was 185.58/105(2 1 8.79/105 for male,152.78/105 for female),ASMRC and ASMRW were 109.13/105 and 126.64/105,and the cumulative mortality rate(0～74 years old)was 11.54％.In 2020,the incidence and mortality rates increased with age,peaking in the age groups of 80～84 and ≥85 years old,respectively.Lung cancer was the leading cause of incidence(crude incidence rate:51.13/10s),followed by female breast cancer,thyroid cancer,colorectal cancer and stomach cancer.Lung cancer was also the leading cause of mortality(crude mortality rate:41.14/105),followed by liver cancer,colorectal cancer,stomach cancer and fe-male breast cancer.There was no significant change in the ASIRC/ASMRC from 2016 to 2020(incidence AAPC=2.95％,mortality AAPC=8.51％,both P＞0.05).[Conclusion]The incidence and mortality of cancer in Xinjiang cancer registration areas were stable from 2016 to 2020.Lung cancer,digestive system cancers(colorectal,gastric,liver cancers),and female breast cancer re-main the main cancers threatening the health of Xinjiang residents,indicating the need to strengthen screening and early diagnosis and treatment.

Objective To establish dynamic nomogram models for postoperative recurrence and survival risk of patients with AFP-negative hepatocellular carcinoma(ANHC)based on multimodal clinical data,to identify ANHC-specific prognostic biomarker combinations by integrating tumor biological characteristics and treatment response parameters through machine learning,and to provide an individualized risk assessment tool for overcoming the limitations of traditional serum biomarkers.Methods A retrospective analysis was performed for 421 ANHC patients who underwent hepatectomy in Eastern Hepatobiliary Surgery Hospital from April 2012 to December 2018,and they were randomly divided into training group with 210 patients and validation group with 211 patients.The univariate and multivariate Cox proportional-hazards regression models were used to identify independent prognostic factors and establish a nomogram model,and the receiver operating characteristic(ROC)curve,the calibration curve,and the decision curve analysis were used to assess the performance of the model.Related indicators were measured,including prealbumin(PA),white blood cell count(WBC),tumor size,and microvascular invasion.The chi-square test or the Fisher's exact test was used for comparison of categorical variables between two groups,and the independent-samples t test or the Mann-Whitney U test was used for comparison of continuous variables between two groups.Results The multivariate analysis showed that multiple tumors(hazard ratio[HR]=3.30,P<0.001),WBC(HR=1.05,P=0.005),blood glucose(HR=1.15,P=0.026),CA19-9(HR=1.17,P=0.005),and tumor size(HR=1.17,P<0.001)were independent risk factors for disease-free survival(DFS),while PA(HR=0.99,P=0.022)was a protective factor.Incomplete tumor capsule(HR=0.60,P=0.009),age(HR=1.02,P=0.035),prothrombin time(PT)(HR=1.27,P=0.023),CA19-9(HR=1.01,P<0.001),and tumor size(HR=1.15,P<0.001)were independent risk factors for overall survival(OS).The DFS nomogram achieved an AUC of 0.74(95%confidence interval[CI]:0.64-0.84)in the training group and 0.67(95%CI:0.57-0.77)in the validation group,while the OS nomogram had an AUC of 0.76(95%CI:0.64-0.88)and 0.73(95%CI:0.60-0.87),respectively.The calibration curve and the decision curve analysis showed that the models had good predictive accuracy and clinical practicability.Conclusion Preoperative indicators,including tumor number,PA,WBC,and tumor size,can effectively predict postoperative recurrence in ANHC patients,while tumor capsule integrity,age,and PT are significantly associated with OS.The nomogram models established have good performance and can provide a basis for individualized prognostic assessment.

[Purpose]To analyze cancer incidence and mortality in Xinjiang cancer registration ar-eas in 2020 and the trends from 2016 to 2020.[Methods]Incidence and mortality data of cancer reported by four cancer registration areas in Xinjiang in 2020 were collected.Crude incidence and mortality rates,age-standardized incidence and mortality rates by Chinese standard population(ASIRC/ASMRC),and world standard population(ASIRW,ASMRW),and cumulative rate(0～74 years old)were calculated.The Chinese standard population(2000 national census)and Segi's world standard population were used for standardization.Joinpoint regression was applied to ana-lyze the trends of incidence and mortality from 2016 to 2020,and the average annual percentage change(AAPC)was calculated.[Results]In 2020,the crude incidence rate of cancer in Xinjiang cancer registration areas was 291.67/105(286.64/105 for male,296.64/105 for female),ASIRC and ASIRW were 190.43/105 and 206.58/105,and the cumulative incidence rate(0～74 years old)was 20.51％.The crude mortality rate was 185.58/105(2 1 8.79/105 for male,152.78/105 for female),ASMRC and ASMRW were 109.13/105 and 126.64/105,and the cumulative mortality rate(0～74 years old)was 11.54％.In 2020,the incidence and mortality rates increased with age,peaking in the age groups of 80～84 and ≥85 years old,respectively.Lung cancer was the leading cause of incidence(crude incidence rate:51.13/10s),followed by female breast cancer,thyroid cancer,colorectal cancer and stomach cancer.Lung cancer was also the leading cause of mortality(crude mortality rate:41.14/105),followed by liver cancer,colorectal cancer,stomach cancer and fe-male breast cancer.There was no significant change in the ASIRC/ASMRC from 2016 to 2020(incidence AAPC=2.95％,mortality AAPC=8.51％,both P＞0.05).[Conclusion]The incidence and mortality of cancer in Xinjiang cancer registration areas were stable from 2016 to 2020.Lung cancer,digestive system cancers(colorectal,gastric,liver cancers),and female breast cancer re-main the main cancers threatening the health of Xinjiang residents,indicating the need to strengthen screening and early diagnosis and treatment.

Objective:To explore the effect of complement component C1s on the proliferation,migration and adhesion of esophageal squamous cell carcinoma(ESCC)cells and on the growth of xenograft tumors in nude mice.Methods:The C1S mRNA ex-pression of ESCC tissues and adjacent normal tissues(ANTs)were analyzed using NCBI-GEO database.The C1s expression of ESCC cell lines was analyzed with RT-qPCR and Western blot.The knockdown or overexpression of C1s in ESCC cells lines was performed using C1s small interfering RNA(siRNA),C1s short hairpin RNA(shRNA)or C1s overexpression lentivirus,and the cell prolifera-tion was detected by CCK-8 assay,cell migration was detected by cell wound healing assay,cell adhesion was detected by cell-matrix adhesion assay,the expressions of matrix metalloproteinases MMP1 and MMP13 were detected by Western blot,and the effect of C1s on the growth of xenograft tumors in nude mice was detected by subcutaneous tumorigenesis assay in nude mice.The expression of CD34 in the xenograft tumors was detected by immunohistochemistry,and the formation of tumor microvessel was analyzed.Results:The expression of C1S mRNA in ESCC tissues was significantly higher than that in ANTs.Knockdown of C1s significantly suppressed proliferation,migration and cell-matrix adhesion of ESCC cells,as well as growth of xenograft tumors in nude mice,while overexpres-sion of C1s had the opposite effects.The expressions of MMP1 and MMP13 were decreased in ESCC cells TE-1 with C1s knockdown.Compared with control group,the microvessel of the xenograft tumors in the C1s overexpression group were more abundant.Conclu-sion:C1s is significantly upregulated in ESCC tissues,and promotes proliferation,migration,cell-matrix adhesion of ESCC cells,and the growth of xenograft tumors.C1s may play an important role in the occurrence and development of ESCC.

Objective To investigate the prevalence of hepatitis D virus (HDV) infection among patients with chronic hepatitis B virus (HBV) infection in some regions of China. Methods Serum samples were collected from 3 131 patients with chronic HBV infection in 10 provinces, cities, and autonomous regions of China from March 2021 to June 2022, and anti-HDV IgG ELISA was used for the detection of all serum samples. Nested reverse transcription-polymerase chain reaction (nRT-PCR) was used to detect HDV RNA in anti-HDV IgG-positive samples, and the nRT-PCR amplification products of HDV RNA-positive samples were sequenced and analyzed to determine HDV genotype. The clinical features of anti-HDV IgG-positive patients were analyzed. The Mann-Whitney U rank sum test was used for comparison of continuous data between two groups, and the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups. Results The positive rate of anti-HDV IgG in the 3 131 patients with chronic HBV infection was 0.70% (22/3 131), and that in the patients with chronic HBV infection in Inner Mongolia Autonomous Region, Xinjiang Uygur Autonomous Region, Beijing, and Hunan Province was 1.81% (16/886), 0.88% (2/226), 0.28% (2/708), and 1.00% (2/200), respectively; the patients with chronic HBV infection in Inner Mongolia Autonomous Region had a significantly higher positive rate of anti-HDV IgG than those in Beijing ( P =0.004), and there was no significant difference between the other regions ( P > 0.05). Clinical features of the patients with chronic HBV infection in Inner Mongolia Autonomous Region showed that compared with the anti-HDV IgG-negative group, the anti-HDV IgG-positive group had a significantly higher proportion of patients with Mongol nationality ( P =0.001), abnormal alanine aminotransferase ( P =0.007), or antiviral treatment ( P =0.029), as well as a significantly lower median HBV DNA level ( P =0.030). A total of 19 HDV RNA-positive samples were identified, all of which had HDV genotype 1. Conclusion The prevalence rate of HDV varies greatly across different regions of China, with a higher prevalence rate of HDV in patients with chronic HBV infection from Inner Mongolia Autonomous Region. HDV genotype 1 is the predominant genotype in some provinces and cities of northern China.

Objective To retrieve,evaluate and integrate evidence related to prevention and management of lifestyle-related dry eye patients.Methods The clinical decisions,recommended practices,evidence summaries,technical reports,guidelines,expert consensuses and systematic evaluations on the prevention and management of lifestyle-related dry eye patients in domestic and foreign databases were retrieved by the computer.The evidence was extracted and summarized according to the subject after the independent literature quality evaluation by 2 researchers.The literature retrieval time limit was from the establishment of the databases to September 2022.Results According to the inclusion criteria,13 pieces of the literature were screened,including 1 guideline,5 systematic reviews,3 expert consensuses,2 technical reports and 2 evidence summaries.Through literature reading,evidence extraction and classification,a total of 25 pieces of evidence were summarized,including assessment,symptom identification,identification of risk factors,artificial tear management,eye care,diet management,health guidance,follow-up education.Conclusion This study summarized the best evidence of prevention and management of lifestyle-related dry eye patients,so as to provide references for nurses to carry out clinical practice.In the process of evidence transformation,the actual situation should be combined to improve the quality of nursing.

ObjectiveTo analyze the epidemic characteristics of foodborne disease outbreaks in Mengla County， Yunnan Province， so as to provide basis for formulating corresponding prevention and control measures. MethodsThe data of foodborne disease outbreaks in Mengla County， Yunnan Province from 2017 to 2021 in the national "foodborne disease outbreak monitoring system" were collected. The time， population， region， place， pathogenic factors and inducing links of the events were statistically analyzed. ResultsFrom 2017 to 2021， a total of 68 incidents were reported， including 526 cases and 5 deaths. The total incidence rate was 23.40% and the case fatality rate was 0.95%. The peak period was from May to July， with the largest number of reported events in July. The reporting areas were mainly Mengla Town （35.29%）， Guanlei Town （11.76%） and Mengpeng Town （10.29%）. The main place of the incident was family （76.47%）. The main pathogenic factors were plant toxins （79.41%）， mainly through the ingestion of wild mushrooms （68.52%）， improper processing of green beans （12.96%） and aconitum （9.26%）. ConclusionAccording to the epidemiological characteristics of Mengla County， we should focus on the public education of health knowledge in key areas and places， especially on the identification of wild mushrooms， to prevent accidental eating. At the same time， we should strengthen the monitoring and risk assessment of foodborne diseases， find potential risks as soon as possible， issue early warning and forecast in time， and constantly improve the clinical treatment ability of poisoned patients.

Pancreatic neuroendocrine neoplasms (pNENs) are highly heterogeneous, and the management of pNENs patients can be intractable. To address this challenge, an expert committee was established on behalf of the Group of Pancreatic Surgery, Chinese Society of Surgery, Chinese Medical Association, which consisted of surgical oncologists, gastroenterologists, medical oncologists, endocrinologists, radiologists, pathologists, and nuclear medicine specialists. By reviewing the important issues regarding the diagnosis and treatment of pNENs, the committee concluded evidence-based statements and recommendations in this article, in order to further improve the management of pNENs patients in China.

Pancreatic neuroendocrine neoplasms (pNENs) are highly heterogeneous, and the management of pNENs patients can be intractable. To address this challenge, an expert committee was established on behalf of the Chinese Pancreatic Surgery Association, Chinese Society of Surgery, Chinese Medical Association, which consisted of surgical oncologists, gastroenterologists, medical oncologists, endocrinologists, radiologists, pathologists, and nuclear medicine specialists. By reviewing the important issues regarding the diagnosis and treatment of pNENs, the committee concluded evidence-based statements and recommendations in this article, in order to further improve the management of pNENs patients in China.