Aim To investigate the effect of hesperidin on human lung cancer cell A549 and the possible mechanism.Methods The cell apoptosis and necrosis of A549 treated with hesperidin were measured by the Hoechst 33342/PI fluorescent dye based on microfluidic chip technology.Cell cycle and apoptosis rate were evaluated by flow cytometry(FCM).The expressions of the related genes were detected through the real-time fluorescent quantitative PCR technology(RT-PCR) including VEGF, PI3K and PTEN.The protein expressions of Bcl-2, Cyclin B1, PI3K, Akt and PTEN were detected by Western blot after hesperidin intervention.Results The proliferation of A549 cells was significantly inhibited by hesperidin in a dose-dependent manner.FCM results showed that hesperidin could not only influence the G0/G1 phase and S phase, but also promote the apoptosis of lung cancer cells.Meanwhile, the apoptosis and necrosis rate was increased from(6.7±0.6)% to(27.9±1.1)% compared with that of control group(P<0.05).From the level of molecular, the gene expressions of VEGF and PI3K were decreased, while the PTEN was increased after hesperidin stimulation.Western blot results showed that the expression of protein Bcl-2, Cyclin B1 and Akt were decreased, which all showed close relationship with cell apoptosis, cell cycle and PI3K-Akt signaling pathway.The expression of PI3K was increased, but the change of PTEN was not statistically significant compared with that of control group.Conclusion Hesperidin induces lung cancer cell apoptosis through PI3K-Akt signaling pathway, which blocks cancer cell division and destroys the balance of related protein expression.

Objective:To examine the relationship between meaning in life (MIF) and social support in Chinese hospitalized patients with advanced lung cancer (ALC).Methods:Totally, 231 ALC patients from Shanghai Pulmonary Hospital Affiliated to Tongji University were recruited to complete the Meaning in life Questionnaire (MIFQ) and Social Support Rating Scale (SSRS) from December 2018 to December 2019.Results:The total score of MIFQ in ALC patients was (97.81 ± 15.74), and the total score of SSRS was (27.47 ± 6.37), with the former and its each dimension positively correlated to the latter ( r = 0.275-0.417, P<0.01), genders (female), marital status (married), ocupational status and total score of social support were the important factors of the life meaning ( F = 9.82, P<0.001), which accounted for 23.6% of the changes of life meaning. Conclusion:ALC patients sensed the middle level of social support and MIF. Patients who were females, married, the higher the degree of social support, tended to have higher level of MIF. Medical workers need to value the social support system of ALC patients, in an effort to improve MIF of patients.

Objective:To systematically integrate the symptom experience of chemotherapy-induced peripheral neuropathy in cancer patients.Methods:Qualitative researches on the symptom experience of chemotherapy-induced peripheral neuropathy in cancer patients were searched through PubMed, Cochrane Library, Joanna Briggs Iistitute (JBI), Embase, Web of Science, OVID, EBSCO, China National Knowledge Infrastruture, Wanfang Database, VIP, SinoMed. The retrieval period was from the establishment of database to November 30, 2021. The quality of included studies was assessed using the evaluation tool of JBI Evidence-Based Health Care Centre Australia. The results were synthesized by the integrating method.Results:A total of 13 studies were included, 45 results were extracted, 13 categories were classified, and 6 integrated results were synthesized: patients and medical staff often ignore chemotherapy-induced peripheral neuritis; the signs of chemotherapy-induced peripheral neuropathy are complex and difficult to be accurately described; patients' complex emotional experience; chemotherapy-induced peripheral neuropathy seriously affects patients' quality of life; patients cope with their illness in a variety of ways; patients long for professional guidance and social support.Conclusions:Medical staff should pay more attention to chemotherapy-induced peripheral neuropathy, pay attention to patients' negative emotions and provide professional guidance, strengthen the social support system and rebuild patients' confidence in treatment.

Objective:To analyze the psychological experience of physical privacy protection during critical care for postoperative lung cancer patients.Methods:This study adopted the descriptive phenomenology method. From January 5 to 31, 2022, purposive sampling was used to select 20 postoperative lung cancer patients from Tongji University affiliated Shanghai Pulmonary Hospital for semi-structured in-depth interviews. The interview data was processed using the Colaizzi 7-step analysis method.Results:This study extracted 4 themes, including emphasizing privacy protection, being involuntary after operation, attitudes and reactions to privacy exposure (understanding and acceptance, complaints and doubts, indifference and conformity, shame and helplessness, sensitivity and resistance), needs and expectations (patients performing life care themselves, same-sex nursing procedures, and negotiating with patients before operation) .Conclusions:Postoperative lung cancer patients have a high sensitivity to exposing their private parts of the body during critical care. Patients have a negative psychological state after exposing their physical privacy, and there is a high need and expectation for physical privacy protection.

Objective:To investigate the differential expression of brain-expressed X-linked (BEX) family genes in pan-cancer and its value in diagnosis and prognosis of pan-cancer.Methods:RNA sequencing (RNA-seq) data, survival data, immune subtypes, the stem cell scores based on RNA and DNA methylation of 33 different tumors from The Cancer Genome Atlas (TCGA) database were downloaded from the online database of University of California, Santa Cruz (UCSC Xena) on April 10, 2022. The limma package of R software (V.4.2.0) was used to analyze the expression of BEX family genes in the TCGA database. The differential expression of BEX family genes in pan-cancer tissues and normal tissues was compared by using Wilcox test. Pan-cancer patients were divided into high expression group and low expression group according to the median expression level of BEX family genes; Kaplan-Meier survival analysis was used to evaluate the relationship between the expression of BEX family genes and the overall survival (OS) of patients; Cox proportional risk model was used to analyze the effect of the expression of BEX family genes on OS in pan-cancer patients and then the forest map was drawn. The correlation of the expression of BEX family genes with tumor microenviroment and tumor stem cells in pan-cancer patients was analyzed based on the correlation index Cor value. Spearman correlation analysis was used to analyze the correlation between the expression of BEX family genes and tumor microenviroment and cancer stem cell index in gastric cancer tissues. The RNA-seq of different tumor cell lines and drug sensitivity data download from the CellMiner database were used to analyze the correlation between the expression of BEX family genes and drug sensitivity. The correlation of pan-cancer and gastric cancer immune subtypes with the expression of BEX family genes was analyzed by using Kruskal test.Results:BEX3 was highly expressed in pan-cancer tissues in TCGA database, BEX2 and BEX4 were moderately expressed in pan-cancer tissues, and BEX1 and BEX5 were relatively low expressed in pan-cancer tissues. The expressions of BEX2, BEX3 and BEX4 were the highest in cholangiocarcinoma, the expression of BEX5 was the highest in endometrial neoplasms, and the expression of BEX1 was the highest in invasive breast cancer. Compared with normal tissue samples, the expressions of BEX family genes were up-regulated or down-regulated in various cancers (all P < 0.05). Survival analysis showed that the expressions of BEX family genes were associated with the OS of various cancers. Some tumor patients with high expressions of BEX1, BEX3, BEX4 and BEX5 had better OS compared with those with low expressions, and the differences were statistically significant (all P < 0.05). Other patients with high expression of BEX family genes had worse OS compared with those with low expressions, and the differences were statistically significant (all P < 0.05). Cox regression analysis showed that the high expression of BEX1 for stomach neoplasms; the high expression of BEX2 for acute myeloid leukemia, thymoma and endometrial neoplasms; the expression high of BEX3 for squamous cell carcinoma of head and neck,sarcoma, stomach neoplasms and endometrial neoplasms; the high expression of BEX4 for rectal adenocarcinoma, stomach neoplasms and endometrial neoplasms; the high expression of BEX5 for renal suspicious cell carcinoma and thymoma were risk factors for OS (all P < 0.05).The expression of BEX family genes was negatively correlated with the stromal score of most cancers (all P < 0.05), and positively correlated with the stem cell score (all P < 0.05). The expression of BEX family genes was negatively correlated with cancer stem cell index of gastric cancer ( P < 0.05), and was positively correlated with matrix score and estimated total score (all P < 0.05). Among different tumor cell lines in CellMiner database, BEX family genes were closely related to drug resistance of vemurafenib (Cor = -0.368, P = 0.004), Kahalide f (Cor = -0.391, P = 0.002), O-6-benzylguanine (Cor = -0.375, P = 0.003) and other drugs. All genes in the BEX family were related to the immune subtypes of pan-cancer and were highly expressed in C5 subtype (all P < 0.05).For gastric cancer, all genes showed high expression in the C3 subtype (all P < 0.05), except BEX5 ( P = 0.24). Conclusions:The expression of BEX family genes is closely related to the prognosis of pan-cancer patients, and has an impact on the tumor microenvironment, cancer stem cells and drug sensitivity. BEX family genes may be potential biomarkers for diagnosis and prognosis of pan-cancer.

Objective:To investigate the differential expression of four-jointed box kinase 1 (FJX1) gene in colorectal cancer and its relationship with prognosis and the related mechanisms.Methods:On July 16, 2021, the transcriptome data and clinical data of colorectal cancer were downloaded from The Cancer Genome Atlas (TCGA) database to analyze the expressions of FJX1 mRNA in colorectal cancer tissues and paracancerous tissues, and the relationship between FJX1 mRNA and clinicopathological characteristics and prognosis of patients. Receiver operating characteristic (ROC) curve was drawn to evaluate the value of FJX1 mRNA in predicting the survival of patients with colorectal cancer. Cox proportional hazards model was used to evaluate whether FJX1 mRNA was an independent influencing factor for prognosis of colorectal cancer. The overall survival (OS) time and survival status of colorectal cancer patients were downloaded from the Gene Expression Omnibus (GEO) database, and the relationship between FJX1 mRNA and prognosis of patients was analyzed. The methylation data of colorectal cancer was downloaded from the University of California, Santa Cruz (UCSC xena) database to determine the degree of methylation at each site of FJX1 mRNA and the correlation between the expression of FJX1 mRNA and the degree of methylation at each site. Signaling pathways associated with FJX1 mRNA in colorectal cancer were analyzed by using the Gene Set Enrichment Analysis (GSEA) (4.1.0). The correlation between FJX1 mRNA and tumor-infiltrating immune cells was investigated by using the Tumor Immunity Evaluation Resource (TIMER) database. Spearman analysis and small molecule/drug sensitivity analysis were used to explore the correlation between FJX1 mRNA expression and drug sensitivity.Results:In the transcriptome data of 612 colorectal cancer cases in TCGA database, the expression of FJX1 mRNA in colorectal cancer tissues was higher than that in the paracancerous tissues ( P < 0.001). In 549 colorectal cancer patients with complete data, FJX1 mRNA expression was correlated with M stage ( P = 0.007), pathological stage (stage Ⅳ vs. stage Ⅰ, P = 0.016; stage Ⅳ vs. stage Ⅱ, P = 0.03; stage Ⅳ vs. stage Ⅲ, P = 0.012), but it was not correlated with age, gender, T stage and N stage (all P > 0.05). In TCGA database and GEO database, the patients were divided into high expression group and low expression group according to the median expression of FJX1 mRNA. The OS in FJX1 mRNA high expression group was worse than that in low expression group (all P<0.05). The ROC curve of FJX1 mRNA expression on the 1-, 3-, and 5-year OS rates of colorectal cancer patients was drawn by using the data in TCGA database, and the areas under the curve (AUC) were 0.595, 0.625 and 0.764, respectively. Multivariate Cox regression analysis showed that age ( HR = 1.050, 95% CI 1.028-1.073, P < 0.001), T stage ( HR = 1.787, 95% CI 1.090-2.927, P = 0.021) and high FJX1 mRNA expression ( HR = 1.160, 95% CI 1.049-1.282, P = 0.004) were independent influencing factors for poor OS in colorectal cancer. The gene set enrichment analysis found that FJX1 mRNA was related to colorectal cancer, TGF-β signaling pathway, VEGF signaling pathway, Wnt signaling pathway, etc. The expression of FJX1 mRNA in colon cancer was negatively correlated with the degree of methylation of FJX1 mRNA ( r = -0.16, P < 0.001), and the expression of FJX1 mRNA in rectal cancer was positively correlated with the degree of methylation of FJX1 mRNA ( r = 0.33, P < 0.001). The expression of FJX1 mRNA was related to the infiltration of resting memory CD4 + T cells, M0 macrophages and resting dendritic cells. FJX1 mRNA was significantly associated with the resistance of various chemotherapeutic drugs and tumor-targeted drugs such as methotrexate, 5-fluorouracil, gefitinib, etc. Conclusions:FJX1 mRNA may be a potential biomarker of colorectal cancer and is associated with the infiltration of immune cells.

Objective To investigate personal identification of mixed seminal stain of two individuals, we combined the detection of genotyping autosomal, Y and X STR and sequencing mtDNA hypervariable Ⅰ (HV Ⅰ ) region. Methods We analyzed autosomal, Y and X STR with commercial kit and separating and sequencing HVⅠfragments of mixed seminal stain from two males by SSCP electrophoresis. Results Four genetic markers of the high amount sample can be obtained when mixed ratio is more than 1:10. When the proportion of two samples is close, the suspect could be excluded or, to some extent, identified by comparing with our results. Conclusion The combined detection of four genetic marker systems can, to some degree, solve the personal identification from mixed seminal stain of two individuals.

Objective:To explore the expression of long non-coding RNA (lncRNA) HAGLR in breast cancer and its effect on the prognosis of breast cancer, and to construct a competitive endogenous RNA (ceRNA) network.Methods:The Atlas of Genetics and Cytogenetics in Oncology and Haematology website was used to search for HAGLR chromosome gene mapping and transcript expression. The lnclocater website was used to predict the subcellular localization of HAGLR, and the differential expression of HAGLR in breast cancer tissues and adjacent tissues was analyzed by using lnCAR database. The patients in lnCAR database were divided into HAGLR high expression group and HAGLR low expression according to HAGLR expression. The Kaplan-Meier method was used to analyze the overall survival (OS) and metastasis-free survival, which was verified by using UCSC Xena database. lnCAR database was used to search the co-expressed genes of HAGLR. The top 200 co-expressed genes were submitted to the Metascape website for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis, and protein interaction network (PPI) was constructed. Starbase, a bioinformatics online analysis website, was used to predict HAGLR targeting mircoRNA (miRNA) and mRNA that directly encoded proteins. ceRNA network of HAGLR was constructed with Cytoscape3.8 software.Results:HAGLR gene was localized in 2q31.1 and mainly distributed in cytoplasm. The expression level of HAGLR in breast cancer tissues was higher than that in adjacent tissues, and the difference was statistically significant ( P < 0.001). lnCAR database and UCSC Xena database analysis showed that OS in HAGLR high expression group was worse than that in HAGLR low expression group (all P < 0.01). lnCAR database, the metastasis-free survival in HAGLR high expression group was worse than that in HAGLR low expression group ( P = 0.030). Among the top 200 HAGLR co-expressed genes, 129 genes were negatively correlated with HAGLR and 71 genes were positively correlated with HAGLR. KEGG pathway analysis showed that HAGLR was related to metabolic pathways, MAPK signaling pathway, JAK-STAT signaling pathway and cancer pathway. GO annotation analysis showed that HAGLR was mainly enriched in cell cycle, centromeric complex assembly, mitotic progression, protein kinase binding, kinase activity regulation, cell response to DNA damage stimulation and other functions. hsa-miR-130b-3p, hsa-miR-1245b-5p, hsa-miR-182b-5p, hsa-miR-512-3p, hsa-miR-302b-3p, hsa-miR-185b-5p, hsa-miR-106b-5p were HAGLR targeting miRNA. Conclusions:HAGLR is highly expressed in breast cancer tissues, and it may be a biomarker for predicting the prognosis of breast cancer.

Background: and Purpose Collateral circulation is considered an important factor affecting the risk of stroke, but the factors that affect collateral circulation remain unclear. This study was performed to identify the factors associated with collateral circulation, especially blood lipids. Methods: The study involved patients who had undergone digital subtraction angiography and were confirmed as having severe unilateral stenosis or occlusion of the internal carotid artery (ICA). We classified the collateral circulation status of each patient as good (Grade 3 or 4) or poor (Grade 0, 1, or 2) according to the grading system of the American Society of Interventional and Therapeutic Neuroradiology/American Society of Interventional Radiology. We collected data on patients’ characteristics and identified the factors that affect collateral circulation. Results: This study included 212 patients. The multivariate logistic regression analysis showed that the high-density lipoprotein cholesterol (HDL-C) concentration and a complete anterior half of the circle of Willis were independent protective factors for good collateral circulation, whereas elevated lipoprotein(a) [Lp(a)] and serum creatinine concentrations were independent risk factors for good collateral circulation. The area under the receiver operating characteristics curve (AUC) was 0.68 (95% confidence interval [CI], 0.61–0.76) for HDL-C and 0.69 (95% CI, 0.62–0.76) for Lp(a). A binary logistic regression model analysis of the joint factor of HDL-C and Lp(a) yielded an AUC of 0.77 (95% CI, 0.71–0.84). Conclusions In patients with severe unilateral ICA stenosis or occlusion, the combination of HDL-C and Lp(a) is a useful predictor of collateral circulation.

Objective:To investigate the effect of tumor deposits on the prognosis and lymph node staging in patients with gastric cancer.Methods:The clinicopathological data of 907 patients with gastric cancer admitted to the Fourth Hospital of Hebei Medical University from Jan to Dec 2016 were retrospectively analyzed. According to the pathological diagnosis, the patients were divided into tumor deposits positive group (121 cases) and tumor deposits negative group (786 cases), and the relationship between tumor deposits and clinicopathological features and prognosis was analyzed.Results:Tumor deposits were found in 121 patients among 907 cases. Univariate analysis showed that tumor deposits were correlated with pT stage, pN stage, pTNM stage, tumor diameter, nerve invasion and vascular invasion (all P<0.05). Multivariate analysis showed that pT stage ( P<0.001), pN stage ( P=0.002), pTNM stage ( P=0.001), tumor diameter ( P=0.033),nerve invasion ( P=0.017), vascular invasion ( P=0.011) were the independent influencing factors of positive tumor deposits. The prognosis of patients with tumor deposits was worse than those without ( χ2=77.869, P<0.001). By univariate analysis, age, tumor location, size, pT stage, pN stage, pTNM stage, tumor thrombus, nerve invasion, tumor deposits and number affected prognosis (all P<0.05). Multivariate analysis showed that age, pT stage, pN stage, pTNM stage, nerve invasion, vascular invasion and the number of tumor deposits were independent prognostic factors (all P<0.05). By stratified analysis tumor deposits were found to have statistical difference in N0~N3a stage (all P<0.05). Conclusion:Tumor deposits is an independent risk factor affecting the prognosis of gastric cancer patients.