Objective To explore the clinical value of AFP-L3,GP73 and GGT as biomarkers in diagnosis of hepatocellular carcinoma (HCC).Methods According to the pathological diagnosis,141 patients were divided into two groups,HCC group were 74 cases,benign liver disease group were 67 cases.Use ELISA method tested the serum AFP-L3 and GP73 levels.The GGT level was detected by the automatic biochemical instrument of all the 141 patients.AFP-L3,GP73 and GGT concentration difference was compared between the two groups.ROC curve was used to determine the cut-off level to diagnose HCC.The value of single use AFP-L3,GP73,GGT and joint the three indexes to diagnose HCC were analyzed.Results The average level of AFP-L3 in the patients with HCC was (113.58±63.62) μg/L,it was significantly higher than that in the patients with benign liver diseases [(23.19±34.54) μg/L] (P ＜ 0.001).The area under the ROC curve of AFP-L3 level was 0.802.Taking AFP-L3 level ≥ 38.47 μg/L as diagnostic criteria,the sensitivity of AFP-L3 level in HCC diagnosis was 81.08 ％ and the specificity was 88.06 ％.The average level of GP73 in the patients with HCC was (126.55±49.56) μg/L,it was significantly higher than that in the patients with benign liver diseases [(56.97±26.48) μg/L] (P ＜ 0.001).The area under the ROC curve of GP73 level was 0.811.Taking GP73 level≥69.44 μg/L as diagnostic criteria,the sensitivity of GP73 level in HCC diagnosis was 75.68 ％ and the specificity was 91.04 ％.The average level of GGT in the patients with HCC was (173.20±179.18) U/L,it was significantly higher than that in the patients with benign liver diseases [(90.77±81.53) U/L] (P ＜ 0.001).The area under the ROC curve of GGT level was 0.713.Taking GGT level ≥ 110.77 U/L as diagnostic criteria,the sensitivity of GGT level in HCC diagnosis was 74.32 ％ and the specificity was 77.61％.Joint use AFP-L3,GP73 and GGT to diagnose HCC,the sensitivity was 83.78 ％,specificity was 92.53 ％.Conclusion Combined detection of tumor markers AFP-L3,GP73 and GGT can improve the positive rate of HCC,which has good clinical application value.

Objective To observe the effect of stellate ganglion block (SGB) in the treatment of peri-men-opanse syndrome of clinical efficacy. Methods 30 patients diagnosed as perimenepausal syndorme by the gynecolo-gy clinic in our hospital from February 2007 to December 2008 were selected. All patients experienced vaginal cytolo-gy and examination of blood estradiol (E2),follicle-stimulating generation Su (FSH),luteinizing hormone (LH),in line with perimenopausal syndrome and no other chronic diseases, and in the last 3 months the patients had not taken hormone treatment drugs. Anterior SGB once a day,around the turn was adopted,taking 10 times as a course of treat-ment. All patients were treated for two courses. The blood FSH, LH, E2 changes were recorded. Results Blood E<,2> in-creased from (31.29±19.36) pmol/L to (159.47±88.21) pmol/L(t=-24.976, P<0.01). FSH decreased from (54.67±19.24) U/L to (38.15±13.50) U/L (t=13.872, P<0.01), and LH dropped from (36.1± 15.6)U/L to (26.7±8.7)U/L (t=9.188,P<0.01). Conclusion SGB has the disorder and autonomic Endo-crine function to achieve a new balance because it can adjust perimenopausal autonomic nervous imbalance, so it is the effective treatment for elimination of peri-menopause syndrome.

Objective:To analyze the preoperative and postoperative serum cholinesterase (CHE) levels in patients with stage ⅠA-ⅢA breast cancer who underwent surgical treatment, and to explore the roles of them and peripheral blood inflammatory markers in the prognostic prediction of stage ⅠA-ⅢA breast cancer.Methods:The relevant blood indicators of 152 patients with stage ⅠA-ⅢA breast cancer who underwent surgery and postoperative adjuvant therapy from January 2012 to December 2017 at Affiliated Huai'an Hospital of Xuzhou Medical University were retrospectively studied. The optimal cut-off values of serum CHE levels and peripheral blood inflammatory markers [systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) ] were calculated using X-tile 3.6.1 software. Patients were categorized into low and high value groups based on the optimal cutoff values. Kaplan-Meier curves and Cox regression analysis were used to assess the correlation between CHE and peripheral blood inflammation indexes and disease-free survival (DFS). Spearman correlation coefficient and Wilcoxon test were used to assess the correlation and changes of CHE and inflammation indexes before and after treatment. In addition to this, a nomogram prediction model was conscturcted based on independent prognostic factors by R software, which was validated by Bootstrap method.Results:The CHE levels of patients before and after treatment was 8 645.0 (7 251.3, 10 229.3) and 9 309.0 (7 801.0, 10 835.3) U/L, respectively, with a statistically significant difference ( Z=2.73, P=0.006) .The optimal cut-off values for postoperative CHE (Post-CHE), postoperative SII (Post-SII), and postoperative SIRI (Post-SIRI) associated with patients' DFS, being 7 773 U/L, 741, and 0.9, respectively. Univariate analysis showed that tumor size (≤2 cm vs.>2 cm and ≤5 cm: HR=2.55, 95% CI: 1.30-4.99, P=0.006; ≤2 cm vs. >5 cm: HR=8.95, 95% CI: 4.15-19.32, P<0.001), number of positive lymph nodes ( HR=3.84, 95% CI: 2.24-6.58, P<0.001), clinical stage (stage Ⅰ vs. stage Ⅱ: HR=1.52, 95% CI: 0.68-3.39, P=0.309, stage Ⅰ vs. stage Ⅲ: HR=8.12, 95% CI: 3.76-17.55, P<0.001), Ki-67 expression ( HR=2.19, 95% CI: 1.24-3.84, P=0.007), whether radiotherapy ( HR=2.05, 95% CI: 1.19-3.53, P=0.010), Post-CHE ( HR=6.81, 95% CI: 3.94-11.76, P<0.001), Pre-neutrophil to lymphocyte ratio (NLR) ( HR=1.11, 95% CI: 1.02-1.21, P=0.014), Post-NLR ( HR=5.23, 95% CI: 2.78-9.85, P<0.001), Pre-platelet to lymphocyte ratio (PLR) ( HR=2.08, 95% CI: 1.01-4.26, P=0.046), Post-PLR ( HR=7.11, 95% CI: 3.78-13.37, P<0.001), Pre-lymphocyte to monocyte ratio (LMR) ( HR=0.37, 95% CI: 0.20-0.66, P<0.001), Post-LMR ( HR=0.23, 95% CI: 0.13-0.41, P<0.001), Pre-SII ( HR=1.81, 95% CI: 1.05-3.12, P=0.033), Post-SII ( HR=6.12, 95% CI: 3.48-10.76, P<0.001), Pre-SIRI ( HR=2.12, 95% CI: 1.24-3.63, P=0.006), and Post-SIRI ( HR=4.93, 95% CI: 2.87-8.48, P<0.001) were associated with DFS in patients with stage ⅠA-ⅢA breast cancer. Multivariate analysis showed that tumor size (≤2 cm vs. >2 cm and ≤5 cm: HR=2.86, 95% CI: 1.41-5.78, P=0.003; ≤2 cm vs. >5 cm: HR=3.72, 95% CI: 1.50-9.26, P=0.005), number of positive lymph nodes ( HR=4.66, 95% CI: 2.28-9.54, P<0.001), Ki-67 expression ( HR=2.13, 95% CI: 1.15-3.94, P=0.016), Post-CHE ( HR=0.18, 95% CI: 0.10-0.33, P<0.001), Post-SII ( HR=2.71, 95% CI: 1.39-5.29, P=0.004), and Post-SIRI ( HR=3.77, 95% CI: 1.93-7.36, P<0.001) were independent influencing factors for DFS in patients with stage ⅠA-ⅢA breast cancer. Kaplan-Meier survival curve analysis showed that the median DFS of patients in the Ki-67<30% group was not reached, and the median DFS of patients in the Ki-67≥30% group was 89.0 months, and the 3- and 5-year DFS rates were 84.9% vs. 75.9% and 80.8% vs. 64.3%, respectively, with a statistically significant difference ( χ2=7.65, P=0.006) ; the median DFS of patients in the tumor size≤2 cm group was not reached, the median DFS of the 2 cm5 cm group was 26.3 months, and the 3- and 5-year DFS rates were 95.5% vs. 74.6% vs. 42.1%, 86.3% vs. 68.6% vs. 25.3%, with a statistically significant difference ( χ2=40.46, P<0.001) ; the median DFS of patients in the group with the number of positive lymph nodes<4 was not reached, and the median DFS of the group with the number of positive lymph nodes≥4 was 30.7 months, and the 3- and 5-year DFS rates were 87.9% vs. 46.4% and 81.4% vs. 28.6%, respectively, with a statistically significant difference ( χ2= 47.34, P<0.001) ; the median DFS of patients in the Post-CHE<7 773 U/L group was 47.3 months, and the median DFS of patients in the Post-CHE≥7 773 U/L group was not reached, and the 3- and 5-year DFS rates were 52.8 % vs. 88.6% and 27.8% vs. 81.2%, respectively, with a statistically significant difference ( χ2=62.17, P<0.001) ; the median DFS was not achieved in patients in the Post-SII<741 group, and the median DFS was 30.5 months in the Post-SII≥741 group, with 3- and 5-year DFS rates of 88.1% vs. 38.5% and 80.1% vs. 30.8%, respectively, with a statistically significant difference ( χ2=50.78, P<0.001) ; the median DFS of patients in Post-SIRI<0.9 group was not reached, the median DFS of Post-SIRI≥0.9 group was 33.3 months, and the 3- and 5-year DFS rates were 93.5% vs. 46.7% and 84.9% vs. 39.9%, respectively, with a statistically significant difference ( χ2=40.67, P<0.001). Spearman correlation analysis revealed that Post-CHE was not correlated with Post-SII ( r=-0.111, P=0.175), and Post-CHE was negatively correlated with Post-SIRI ( r=-0.228, P=0.005). Post-treatment CHE was elevated compared to preoperative and the median DFS was not reached in patients with elevated CHE group and 61.8 months in patients with reduced CHE group after treatment, with a statistically significant difference ( χ2=25.67, P<0.001). The nomogram based on independent prognostic factors had good predictive performance, with a C-index of 0.893. Conclusion:The serum CHE level exhibited a significant increase following treatment. Postoperative serum CHE combined with SII and SIRI can effectively predict DFS in patients with stage ⅠA-ⅢA breast cancer, and the prognosis of patients with elevated CHE after treatment is better. The nomogram constructed based on independent prognostic factors has good predictive performance for DFS in breast cancer patients.

Objective:To investigate the effect of tumor-associated macrophage(TAM) on proliferation of renal carcinoma cells and its related mechanism.Methods:The model of TAM was established by stimulating human monocytic leukemia cell line THP-1 with phorbol myristate acetate (PMA), bacterial endotoxin (LPS) and interferon-γ (IFN- γ). Then the TAM model was co-cultured with carcinoma cell lines ACHN and 786-O in vitro .The cytokines IL-6, TNF-α and IL-1β in TAM supernatant were detected by enzyme-linked immunosorbent assay (ELISA). MTT method was used to detect the proliferation of ACHN and 786-O cells treated with supernatant of TAM or TAM/Tocilizumab. Western blot was used to detect lactate dehydrogenase A (LDHA) expression of both renal cancer cells co-cultured with TAM or TAM/Tocilizumab. The ACHN and 786-O cells with LDHA-overexpression and LDHA-knockdown were cultured in TAM supernatant in vitro. The cell proliferation was detected by MTT and the relative proliferation rate was calculated.Results:THP-1 cells was differentiated into TAM through the treatment of 80 ng/ml PMA combined with 20 ng/ml LPS and 20 ng/ml IFN- γ.The expression rate of CD68, a cell surface marker on TAM, was (36.2 ±4.5)%. When TAM was co-cultured with ACHN cells, the results of ELISA showed that the secretion of IL-6 in the supernatant was significantly elevated compared with that in the supernatant when ACHN cells cultured alone [(138.0 ±12.4) pg/ml and (19.7±4.9) pg/ml], and the secretion of TNF- α [(122.5 ±14.2) pg/ml and (12.6 ±2.3) pg/ml] and IL-1 β [(89.2 ±6.4) pg/ml and (69.2 ±3.5) pg/ml] were also significantly increased. The secretion of IL-6 [(119.2 ±14.8) pg/ml and (17.1 ±3.3) pg/ml], TNF- α [(122.6 ±14.4) pg/ml and (45.7 ±7.2) pg/ml] and IL-1 β [(95.1 ±11.8) pg/ml and (88.2 ±12.7) pg/ml] in the supernatant were also significantly elevated when 786-O cells co-cultured with TAM compared with 786-O cells cultured alone. After treated with the supernatant of TAM for 72 hours, the relative proliferation rates of ACHN and 786-O cells [(128.6 ±21.4)% and (124.2 ±19.7)%] were significantly higher than that of the control group (100.0%). At the same time, the expression of LDHA in ACHN and 786-O cells increased significantly. After 72 hours of treatment with the supernatant of TAM combined with tocilizumab, the relative proliferation rates of ACHN and 786-O cells [(76.5±13.7)% and (74.8±12.5)%] were significantly lower than that of the control group(100.0%), and the expression of LDHA was also significantly decreased at the same time. The relative proliferation rates of ACHN and 786-O cells in LDHA overexpression group [(121.5 ±17.2)% and (122.7±21.6)%]were significantly higher than that in blank-vector-transfection group[(93.3±10.7)% and (89.8±11.2)%], while the relative proliferation rates in LDHA-knockdown group [(61.4±11.2)% and (58.0 ±10.6)% ]were significantly lower than that in blank-vector-transfection group.Conclusions:By secreting IL-6, TAM can up-regulate the expression of LDHA and promote the proliferation of renal cancer cells.