Objective To investigate the function of activated T cell nucleus factor 1 (NFATc1) in liver cancer tissues and the correlations between (NFATc1 and prognosis,and the effect of NFATc1 on liver cancer cell migration.Methods The hepatobiliary surgery department of Tianjin First Central Hospital collected 33 patients with hepatocellular carcinoma from January to June 2015,and studied the expression of NFATc1 in liver cancer and adjacent tissues and the prognosis of patients.HCC cell HepG2 were randomly divided into blank control group (without any intervention),interference group (infected with lentivirus interference sequence,down-regulated expression of NFATc1),and negative control group (infected with lentivirus negative control sequence).The relative expression of NFATc1 in the patients and the three groups were detected by real-time fluorescence quantitative polymerase chain reaction (rt-pcr),and the expressions of NFATc1,n-cadherin and e-cadherin in the three groups were detected by Western blot,and the migration of the cells was detected by Transwell.Results The mRNA level of NFATc1 in liver cancer tissues was higher than that in adjacent tissues,and the difference was statistically significant (P ＜ 0.05).According to the median expression of NFATc1,the 33 patients were divided into high-expression group (n =17) and low-expression group (n =16).The survival rate of the high-expression group was better than that of the low-expression group,and the difference was statistically significant (P ＜ 0.05).The mRNA level of NFATc1 in the interference group was lower than that in the negative control group and the blank control group,and the difference was statistically significant (P ＜0.05).The mRNA levels of NFATc1 and n-cadherin in the interference group were lower than those in the negative control group and the blank control group,while the mRNA levels of e-cadherin were higher than those in the negative control group and the blank control group,with statistically significant differences (P ＜ 0.05).The number of migrative cells in the interference group was (24.0 ± 5.6),which was lower than that in the blank control group [(69.0 ±4.0)] and the negative control group [(73.0 ±4.4)],and the difference was statistically significant (P ＜0.05).Conclusions The expression of NFATc1 is increased in liver cancer,and high level of NFATc1 indicated poor prognosis in liver cancer patients.Low expression of NFATc1 reduces the migration ability of liver cancer cells.

Liver cancer stem cells have the abilities of infinite proliferation,self-renewal,chemoradiation tolerance,high tumorigenicity and stem cell characteristics.The proportion of liver cancer stem cells is positively correlated with the malignancy of the tumor.MicroRNAs (miRNA) can regulate the expression of many genes by degrading mRNA or inhibiting mRNA translation.MicroRNAs also play an important role in a series of life activities such as embryogenesis,tissue and organ development,cell growth and differentiation,apoptosis,disease development.In-depth study of specific miRNA in the occurrence and development of liver cancer and its role in LCSCs,it may provide a new target for prevention and treatment of recurrence and metastasis of liver cancer.

Objective To analyze the expression of activated T cell nuclear factor (NFAT) in hepatoeellular carcinoma (HCC) tissues and its correlation with clinicopathological factors.Methods Data of 105 patients including 87 males and 18 females,aged 55.1 ± 10.8 years old,diagnosed with HCC who underwent hepatectomy in hepatobiliary surgery department of the first central hospital of Tianjin from September 2014 to December 2016 were retrospectively analyzed,Immunohistochemical staining was used to detect the expression of NFAT subtypes in HCC tissues and adjacent normal liver tissues,and the differences in expression of NFAT subtypes and related factors were analyzed.Results HCC tissues had higher expression of NFAT4 and lower expression of NFAT1 compared to adjacent tissues (P＜0.05).NFAT1 positive group had higher HBV infected rate (93.1％ vs.78.7％) and lower microvascular invasion rate than that in NFAT1 negative group (24.1％ vs.46.8％) (P＜ 0.05).NFAT3 positive group had more younger patients (≤ 60 years old) (80.0％ vs.60.0％) and higher microvascular invasion rate (46.2％ vs.15.0％) (P＜0.05).NFAT4 positive group had higher microvascular invasion rate (43.3％ vs.22.2％) (P＜0.05).Conclusion HCC tissues had different expressions of NFATs.The expressions of NFAT1,NFAT3 and NFAT4 are related to microvascular invasion.

Objective:To explore the method of predicting high lymph node load in patients with early breast cancer to avoid unnecessary sentinel lymph node biopsy.Methods:The clinicopathological and thoracic multi-slice spiral CT (MSCT) data of 2620 patients with early (cT1~2N0M0) breast cancer treated in the Affiliated Cancer Hospital of Zhengzhou University from January 1, 2014 to August 1, 2018 were collected. According to the postoperative pathological results, the patients were divided into the group with axillaryhigh lymph node burden (HNB) and the non-HNB group. The influencing factors of axillary lymph node burden in patients with early breast cancer were determined by univariate and multivariate analysis, and the diagnostic model of MSCT to HNB was established. The best cutoff value for the diagnosis of HNB was determined through analyzing the receiver operative characteristic (ROC) curve, and the consistency between MSCT diagnosis and pathological diagnosis was evaluated by Kappa test. Results:Among the 2 620 patients, 168 were diagnosed of HNB. Univariate analysis showed that the tumor size, the status of human epidermal growth factor receptor 2 (HER-2), the number of abnormal lymph nodes showed in MSCT, the ratio of the length to the diameter of the maximum abnormal lymph node as shown in MSCT, the condition of the maximum abnormal lymph node door, and the parenchyma of the maximum abnormal lymph node were related to axillary lymph node burden in patients with early breast cancer ( P<0.05). Multivariate analysis showed that the number of abnormal lymph nodes showed in MSCT was an independent influencing factor of axillary HNB in patients with early breast cancer. Compared with patients without abnormal lymph nodes, the OR values of patients with 1, 2, 3 or more abnormal lymph nodes displayed by MSCT and in axillary HNB status were 3.305, 9.379, 126.163 and 780.953, respectively. Using 3 or more abnormal lymph nodes detected by MSCT to predict the area under the ROC curve of axillary HNB in patients with early breast cancer, the area was 0.928, the sensitivity was 82.1%, the specificity was 95.4%, and the accuracy was 94.5%. Kappa test showed that the consistency between MSCT diagnosis and pathological diagnosis was relatively high ( Kappa=0.629, P<0.001). Conclusions:The number of abnormal lymph nodes showed in MSCT is an independent influencing factor of axillary HNB in patients with early breast cancer. Taking 3 or more abnormal lymph nodes showed in MSCT as the threshold can help to predict the axillary HNB status of early breast cancer patients and exempt some of them from unnecessary sentinel lymph node biopsy.

Objective:To explore the method of predicting high lymph node load in patients with early breast cancer to avoid unnecessary sentinel lymph node biopsy.Methods:The clinicopathological and thoracic multi-slice spiral CT (MSCT) data of 2620 patients with early (cT1~2N0M0) breast cancer treated in the Affiliated Cancer Hospital of Zhengzhou University from January 1, 2014 to August 1, 2018 were collected. According to the postoperative pathological results, the patients were divided into the group with axillaryhigh lymph node burden (HNB) and the non-HNB group. The influencing factors of axillary lymph node burden in patients with early breast cancer were determined by univariate and multivariate analysis, and the diagnostic model of MSCT to HNB was established. The best cutoff value for the diagnosis of HNB was determined through analyzing the receiver operative characteristic (ROC) curve, and the consistency between MSCT diagnosis and pathological diagnosis was evaluated by Kappa test. Results:Among the 2 620 patients, 168 were diagnosed of HNB. Univariate analysis showed that the tumor size, the status of human epidermal growth factor receptor 2 (HER-2), the number of abnormal lymph nodes showed in MSCT, the ratio of the length to the diameter of the maximum abnormal lymph node as shown in MSCT, the condition of the maximum abnormal lymph node door, and the parenchyma of the maximum abnormal lymph node were related to axillary lymph node burden in patients with early breast cancer ( P<0.05). Multivariate analysis showed that the number of abnormal lymph nodes showed in MSCT was an independent influencing factor of axillary HNB in patients with early breast cancer. Compared with patients without abnormal lymph nodes, the OR values of patients with 1, 2, 3 or more abnormal lymph nodes displayed by MSCT and in axillary HNB status were 3.305, 9.379, 126.163 and 780.953, respectively. Using 3 or more abnormal lymph nodes detected by MSCT to predict the area under the ROC curve of axillary HNB in patients with early breast cancer, the area was 0.928, the sensitivity was 82.1%, the specificity was 95.4%, and the accuracy was 94.5%. Kappa test showed that the consistency between MSCT diagnosis and pathological diagnosis was relatively high ( Kappa=0.629, P<0.001). Conclusions:The number of abnormal lymph nodes showed in MSCT is an independent influencing factor of axillary HNB in patients with early breast cancer. Taking 3 or more abnormal lymph nodes showed in MSCT as the threshold can help to predict the axillary HNB status of early breast cancer patients and exempt some of them from unnecessary sentinel lymph node biopsy.