Objective To examine the sleep status and relevant psychosocial factors in patients with colorectal cancer before surgery and improve their sleep quality. Methods A cross?sectional survey method was used. Participants were 107 cases of patients with colorectal cancer from the Department of Anorectal Surgery in The First Hospital ,which is affiliated with China Medical University. The Athens insomnia scale(AIS),Ham?ilton depression scale(HAMD),Hamilton anxiety scale(HAMA),perceived social support scale(PSSS),self?esteem scale(SES),medical cop?ing questionnaire(MCMQ),memorial University of Newfoundland scale of happiness(MUNSH),Eysenck personality questionnaire(EPQ),and Wong?Baker face scale were used to assess preoperative sleep in patients with colorectal cancer and related psychosocial factors. Results Among the 107 cases,there were 24 cases of insomnia,with an insomnia incidence of 22.43%. No statistical differences were found in demographic charac?teristics and clinical characteristics(P>0.05). According to the degree of insomnia,there were significant differences between groups(P<0.05) for depression,anxiety,social support,avoidance,yield,happiness,and EPQ?N. Before the surgery,the degree of depression,anxiety,and EPQ?P had a significant positive effect on the degree of insomnia (P< 0.05). Conclusion The degree of insomnia before surgery in patients with colorectal cancer is closely associated with depression,anxiety,coping styles,social support,and personality characteristics.

Objective:To investigate the clinical manifestations, imaging features, histopathological features, diagnostic pitfalls, treatment and prognosis of clear cell chondrosarcoma (CCCS).Methods:23 cases of CCCS admitted and operated from January 2010 to January 2020 were analyzed retrospectively. Among the 23 cases, 21 were males and 2 were females. There were 8 cases (35%) aged 21-40, 10 cases (43%) aged 41-60 and 5 cases (23%) aged 61-80. There were 8 femurs, 7 pelvis, 4 thoracolumbar spine, 3 sacrum and 1 tibia. The specimens were fixed with 10% phosphate-buffered formalin, decalcified with 5% nitric acid, embedded in paraffin and stained with hematoxylin and eosin (HE) and immunohistochemistry (Envision). The preoperative imaging and clinical symptoms, and the postoperative histopathological and immunophenotype under the microscope were collected. And the relevant literature was reviewed to summarize the clinical, imaging and pathomorphological characteristics of CCCS.Results:23 cases of CCCS showed bone destruction in imaging, some cases were well-circumscribed lytic lesions, some cases had sclerotic margin. The serum alkaline phosphatase was increased in 7 patients before operation. The tumor tissue was gray-white and gray-red in general and some cases showed porcelain white cartilage-like areas. Microscopically, the tumor cells are round or polygonal, some of them have clear cytoplasm and boundary, some of them are eosinophilic, some of them have round and centrally located nuclei, and mitotic image is rare. It is often seen that there are nodular distribution of cartilage-like matrix and immature woven bone, multinucleated osteoclast-like giant cell scattered in those components. Immunohistochemical staining: S-100, D2-40, EMA, Vimentin, p16, SATB2 can be positive in varying degrees. The surgical treatment is mainly through en bloc excision. 10 patients had recurrence and no distant metastasis.Conclusion:CCCS is a rare subtype of chondrosarcoma, which has low-grade malignant biological behavior and is easy to be misdiagnosed clinically and pathologically. Pathological diagnosis needs to be careful. Careful observation of microscopic histology is necessary in order to avoid over-diagnosis of osteosarcoma leading to clinical treatment errors. Once the biopsy is confirmed, it needs en bloc excision in order to reduce the recurrence rate. Long-term follow-up is needed after the operation, the overall prognosis was good.

Objective:To construct a prediction model for the prognosis of breast cancer patients with long non-coding RNA expression characteristics.Methods:To construct a long non-coding RNA(LncRNA) model for predicting the prognosis of breast cancer patients.Methods Analyzing LncRNA expression profiles and clinical characteristics of 1 081 breast cancer patients in the cancer genome atlas (TCGA) database.Performing differential expression analysis and univariate analysis on 112 paired breast cancer and normal breast tissues′ transcriptome sequencing data in the TCGA database, and screened for differentially expressed (DELncRNAs) that significantly correlated with the prognosis of BRCA (To reduce batch effects, sequencing data has been normalized using the DESeq function). One thousand eighty-one breast cancer patients were randomly divided into two groups: training set (541) and validation set (540). Performing Cox proportional hazard regression using DELncRNAs and establishing a multi-LncRNA prognosis model in the training set, followed by proportional hazards assumption test(PH assumption test). Patients were divided into high-risk and low-risk groups based on calculated risk score.Kaplan-Meier method was used for survival analysis, and 540 patients′ data were used for validation.To evaluate the prognostic value of the model in patients with squamous cell carcinoma of the lung and hepatocarcinoma in TCGA database.Gene Set Enrichment Analysis (GSEA) was used to analyze the specific mechanism of lncrna affecting the survival of patients.Results:There were 2815 differentially expressed genes screened by transcriptome sequencing, 91 of which were significantly related to the prognosis of breast cancer patients ( P<0.05). Based on the Cox regression analysis of 91 delncrna expression data from 541 breast cancer patients in training set, a Cox proportional risk regression model was constructed based on 5 LncRNA (training set AUC=0.746, validation set AUC=0.650): AC004551.1, MTOR-AS1, KCNAB1-AS2, FAM230G and LINC01283, and PH assumption test( P=0.388). K-M survival analysis showed that the survival time of high-risk group was significantly worse than that of low-risk group (median survival time: 7.049 and 12.21 years, HR 0.367, 95% CI0.228-0.597, P<0.001), and the survival time of high-risk group was significantly shorter than that of low-risk group (median survival time: 7.57 and 10.85 years, HR 0.412, 95% CI0.214-0.793, P<0.001). Similar prediction results were also obtained in other cancer species of TCGA: lung squamous cell carcinoma ( HR 0.604, 95% CI0.383-0.951, P=0.007) and liver cell carcinoma ( HR 0.551, 95% CI0.307-0.987, P=0.011). GSEA results suggested that the expression patterns of the above five LncRNA were related to the cell cycle regulation of tumor cells. Conclusion:The prognostic model constructed based on expression profile of AC004551.1, MTOR-AS1, KCNAB1-AS2, FAM230G and LINC01283 can be used to predict the prognosis of breast cancer patients, which is helpful to further guide clinical treatment.

ObjectiveTo investigate the contamination status of Staphylococcus aureus in food and the presence of enterotoxin genes in Jiading District， Shanghai， and to provide a basis for the prevention and treatment of foodborne Staphylococcus aureus disease. MethodsFrom 2021 to 2023， 15 types of food were sampled for S. aureus testing， and the presence of five enterotoxin genes， including sea⁃see， was tested in the strains. ResultsOut of 705 food samples， 88 （12.48%） were positive for S. aureus. S. aureus was detected in 12 of the 15 food types， with the three food types with the highest positive rates being cold noodles （45.00%）， raw poultry （26.25%）， and vegetable salads （20.00%）. The enterotoxin gene carriage rate was 32.95% in food strains. The carriage rates for sea， seb， and sec were 7.95%， 12.50%， and 14.77%， respectively. Neither sed nor see was detected. The detection rate of strains carrying two types of enterotoxin genes was 2.27%. The enterotoxin carriage rates in strains from vegetables， beverages， and raw meat were 57.14%， 40.00%， and 30.00%， respectively. ConclusionThe S. aureus detection rate in food in Jiading District is much higher than the national average. The enterotoxin gene carriage rates are high， with food strains carrying sea， seb， and sec， with sec being the most prevalent. There is a need to enhance monitoring of S. aureus and enterotoxins， especially in high-risk foods such as noodles， vegetables， and non-packaged beverages.

Objective    To systematically review the models for predicting coronary artery disease (CAD) and demonstrate their predictive efficacy. Methods    PubMed, EMbase and China National Knowledge Internet were searched comprehensively by computer. We included studies which were designed to develop and validate predictive models of CAD. The studies published from inception to September 30, 2020 were searched. Two reviewers independently evaluated the studies according to the inclusion and exclusion criteria and extracted the baseline characteristics and metrics of model performance. Results    A total of 30 studies were identified, and 19 diagnostic predictive models were for CAD. Seventeen models had external validation group with area under curve (AUC)>0.7. The AUC for the external validation of the traditional models, including Diamond-Forrester model, updated Diamond-Forrester model, Duke Clinical Score, CAD consortium clinical score, ranged from 0.49 to 0.87. Conclusion    Most models have modest discriminative ability. The predictive efficacy of traditional models varies greatly among different populations.

Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.