BACKGROUND:The stress effect of autophagy on epithelial cells,fibroblasts and myofibroblasts is closely related to the formation process of pulmonary fibrosis.OBJECTIVE:To screen the genes related to autophagy in patients with pulmonary fibrosis,and explore their correlation with the prognosis of patients with pulmonary fibrosis,in order to provide a new target for clinical intervention in pulmonary fibrosis.METHODS:The gene expression profiling dataset downloaded from GSE70866 was used as a training set,differentially expressed genes between pulmonary fibrosis patients and normal healthy individuals was analyzed using the R language and intersected with autophagy-related genes to identify the differentially expressed genes with the most significant changes.Multiple analysis methods were used to identify key prognostic genes and construct genetic prognostic models.Patients with pulmonary fibrosis were divided into high-risk and low-risk groups according to their risk scores,and the validity of the prognostic model was verified using the Siena cohort and Leuven cohort validation sets.A cell model of pulmonary fibrosis was established by inducing HFL-1 cells(human embryonic lung fibroblasts)with transforming growth factor-β1,and an animal model of pulmonary fibrosis was established in mice by tracheal instillation of bleomycin to validate the expressions of prognostic genes.RESULTS AND CONCLUSION:(1)There were 2 650 differentially expressed genes between fibrotic tissue and normal tissue.Among them,34 genes related to autophagy showed significant expression changes.(2)Kaplan-Meier survival analysis curves for the Siena cohort and Leuven cohort validation sets showed significantly lower survival in the high-risk group than in the low-risk group.(3)Three autophagy genes related to prognosis were screened out:myelocytomatosis viral oncogene(MYC),C-C motif chemokine ligand 2(CCL2),and GABA type a receptor associated protein like 1(GABARAPL1).(4)Both in vivo and in vitro studies showed that compared with the control group,the expression levels of myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 mRNA and protein were significantly higher in the lung fibrosis model group(P＜0.01,P＜0.05),while the expression levels of GABA type a receptor associated protein like 1 mRNA and protein were lower(P＜0.001).To conclude,bioinformatics methods are used to analyze the expression of three autophagy-related genes in pulmonary fibrosis and their correlation with the prognosis of patients with pulmonary fibrosis.The constructed prognostic model has good predictive ability for the 1-,2-,and 3-year survival rates of patients with pulmonary fibrosis.Moreover,in vivo and in vitro models have been used to verify that myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 are highly expressed in lung fibroblasts and tissues,and that GABA type a receptor associated protein like 1 is lowly expressed.

BACKGROUND:The stress effect of autophagy on epithelial cells,fibroblasts and myofibroblasts is closely related to the formation process of pulmonary fibrosis.OBJECTIVE:To screen the genes related to autophagy in patients with pulmonary fibrosis,and explore their correlation with the prognosis of patients with pulmonary fibrosis,in order to provide a new target for clinical intervention in pulmonary fibrosis.METHODS:The gene expression profiling dataset downloaded from GSE70866 was used as a training set,differentially expressed genes between pulmonary fibrosis patients and normal healthy individuals was analyzed using the R language and intersected with autophagy-related genes to identify the differentially expressed genes with the most significant changes.Multiple analysis methods were used to identify key prognostic genes and construct genetic prognostic models.Patients with pulmonary fibrosis were divided into high-risk and low-risk groups according to their risk scores,and the validity of the prognostic model was verified using the Siena cohort and Leuven cohort validation sets.A cell model of pulmonary fibrosis was established by inducing HFL-1 cells(human embryonic lung fibroblasts)with transforming growth factor-β1,and an animal model of pulmonary fibrosis was established in mice by tracheal instillation of bleomycin to validate the expressions of prognostic genes.RESULTS AND CONCLUSION:(1)There were 2 650 differentially expressed genes between fibrotic tissue and normal tissue.Among them,34 genes related to autophagy showed significant expression changes.(2)Kaplan-Meier survival analysis curves for the Siena cohort and Leuven cohort validation sets showed significantly lower survival in the high-risk group than in the low-risk group.(3)Three autophagy genes related to prognosis were screened out:myelocytomatosis viral oncogene(MYC),C-C motif chemokine ligand 2(CCL2),and GABA type a receptor associated protein like 1(GABARAPL1).(4)Both in vivo and in vitro studies showed that compared with the control group,the expression levels of myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 mRNA and protein were significantly higher in the lung fibrosis model group(P＜0.01,P＜0.05),while the expression levels of GABA type a receptor associated protein like 1 mRNA and protein were lower(P＜0.001).To conclude,bioinformatics methods are used to analyze the expression of three autophagy-related genes in pulmonary fibrosis and their correlation with the prognosis of patients with pulmonary fibrosis.The constructed prognostic model has good predictive ability for the 1-,2-,and 3-year survival rates of patients with pulmonary fibrosis.Moreover,in vivo and in vitro models have been used to verify that myelocytomatosis viral oncogene and C-C motif chemokine ligand 2 are highly expressed in lung fibroblasts and tissues,and that GABA type a receptor associated protein like 1 is lowly expressed.

Objective:To analyze clinicopathological features of thyroid nodules and to assess preoperative diagnostic methods for the nature of nodules.Methods:The clinical and pathological data of 2 132 patients [456 males and 1 676 females with a mean age of (48.7±11.4) year] with thyroid nodules who underwent surgical treatment in our hospital from January 2017 to December 2019 were retrospectively analyzed. Among all patients, 433 nodules had complete fine needle aspiration biopsy cytology (FNAC) and ultrasound results were selected for further assessment. According to preoperative high-resolution ultrasound images, the nodules were classified by Kwak thyroid imaging and reporting data systems (Kwak TI-RADS) and American College of Radiology TI-RADS (ACR TI-RADS). ROC curve was used to assess the diagnostic efficacy of the two ultrasound modes and FNAC.Results:In 2 132 patients with thyroid nodules, 743 were benign and 1 389 were malignant. In all malignant cases 1 119 were females, accounting for 80.56%. In newly diagnosed benign nodules, 67.97% (505/743) were found by examination, and 32.03% (238/743) were self-found. In malignant nodules, 48.67% (676/1 389) were detected by examination, 51.33% (713/1 389) were self-found. The malignant rate of nodule diameter≤1 cm was the lowest in 1 118 patients with complete thyroid ultrasound data. In 628, 722 and 782 patients who underwent surgical treatment in 2017, 2018 and 2019, the proportion of malignant nodules was 56.37% (354/628), 66.48% (480/722) and 70.97% (555/782); the proportion of benign nodules was 43.63% (274/628), 33.52% (242/722) and 29.03% (227/782), respectively. Among all malignant nodules, papillary carcinoma accounted for 95.18% (1 322/1 389), followed by follicular carcinoma 4.32% (60/1 389), myeloid carcinoma 0.43% (60/1 389) and undifferentiated carcinoma 0.07%(1/1 389). Among all benign nodules, the proportion of nodular goiter was the highest (95.56%, 710/743). The proportion of patients undergoing preoperative FNAC in 2017, 2018 and 2019 was 57.96% (364/628), 63.43% (458/722) and 69.44% (543/782), respectively;the coincidence rate of preoperative FNAC and postoperative pathological diagnosis was 46.15% (168/364), 52.18% (239/458) and 62.06% (337/543), respectively. Among 433 nodules with both FNAC and ultrasound data, the areas under the ROC curve(AUC)of FNA, ACR TI-RADS and Kawk TI-RADS were 0.91, 0.74 and 0.59, respectively ( P<0.05). The sensitivity of ACR TI-RADS and Kawk TI-RADS was 84.34%, 37.35% ( P<0.05) and specificity was 56.29% and 79.14% ( P=0.075). Conclusions:The study reveals that from 2017 to 2019, both the number of cases and malignant rate of thyroid nodules shows a rising trend, meanwhile the application rate of preoperative FNAC and its coincidence rate with postoperative pathology shows an increasing trend. FNAC, ACR Ti-RADS and Kawk TI-RADS have certain diagnostic efficacy in differentiating benign and malignant thyroid nodules, and the diagnostic value of FNAC is the highest followed by ACR TI-RADS and Kawk TI-RADS.

OBJECTIVE：To systematically evaluate therapeutic efficacy of Gongliuqing capsules combined with mifepristone in the treatment of uterine leiomyoma ，in order to provide evidence-based reference for clinical medication. METHODS ：Retrieved from Cochrane Library ，PubMed，Embase，CJFD，VIP，CBM and Wanfang database ，randomized controlled trials （RCTs）about Gongliuqing capsules combined with mifepristone （trial group ）versus mifepristone alone （control group ）in the treatment of uterine leiomyoma were collected. After literature screening and data extraction ，the quality of included literatures was evaluated with modified Jadad scale. Meta-analysis was conducted by using Stata 14.0 software，and trial sequential analysis （TSA）was performed by using TSA 0.9 software. RESULTS ：A total of 12 RCTs were included ，involving 1 210 patients. The results of Meta- analysis showed that the total response rate of trial group [RR ＝1.12，95％CI（1.00，1.26），P＜0.05] was significantly higher than that of control group ；maximum uterine leiomyoma volume after treatment [SMD ＝－1.08，95％CI（－1.21，－0.95），P＜0.05]，uterine volume after treatment [SMD ＝－0.80，95％CI（－1.14，－0.45）， P＜0.05]，follicle stimulating hormone （FSH）level [SMD ＝ － 0.28，95％ CI（－ 0.45，－ 0.19），P＜0.05]，luteinizing hormone（LH）level [SMD ＝－0.44，95％CI（－0.52，－0.12）， 020-38076311。E-mail：867203217@qq.com P＜0.05]，E2 level [SMD ＝－2.69，95％CI（－3.08，－1.49）， P＜0.05] and progesterone （P）level [SMD ＝－1.27，95％CI（－1.69，－0.71），P＜0.05] of trial group were significantly lower or better than those of control group. Results of subgroup analysis showed that except for the level of FSH in 5 and 10 mg mifepristone groups （P＞0.05），maximum uterine leiomyoma volume after treatment ，uterine volume after treatment ，the levels of FSH，LH，E2 and P in trial group were significantly lower than control group. The results of TSA showed that there were definite evidences for total response rate of Gongliuqing capsules combined with mifepristone being better in the treatment of hysteromyoma. CONCLUSIONS ：Total response rate of Gongliuqing capsules combined with mifepristone in the treatment of hysteromyoma is better than mifepristone alone ，which can effectively decrease the volume of maximum uterine leiomyoma volume and uterine vilume ，and reduce the level of serum hormone.

Objective Medication for pituitary adenomas is mainly targeted on the prolactin-secreting and growth-hormone types and shows poor therapeutic effects on other adenomas .Therefore, new drugs urgently need to be developed for this purpose .This study was to investigate the effects of glivec and everolimus on mouse pituitary AtT-20 cells and their molecular mechanisms in vitro. Methods Mouse pituitary AtT-20 cells were incubated with glivec or everolimus or combination of both and their inhibitory effect on the proliferation of the cells was measured by CCK-8 assay.The mRNA levels of AKT and ERK were determined by q-PCR and the ex-pressions of the phosphorylated AKT (p-AKT) and ERK (p-ERK) were detected by Western blot. Results Used alone, both glivec and everolimus inhibited the proliferation of the AtT-20 cells in a time-and dose-dependent manner , but their combination produced a mutually antagonistic effect, with combination index values of 1.13 ±0.06, 1.12 ±0.03, and 1.07 ±0.03 respectively.The two a-gents , either used alone or in combination , induced no significantly inhibitory effects on the mRNA and protein expressions of AKT and ERK ( P >0.05 ).Both glivec and everolimus up-regulated the expressions of p-AKT and p-ERK, and their combination manifested an even stronger effect (P>0.05). Conclusion Both glivec and everolimus inhibit the proliferation of AtT-20 cells when administered alone, but their combination produces an antagonistic effect .Their action mechanism might be that when targeting some signaling path-ways to inhibit cell proliferation , glivec, as well as everolimus , in-duces a feedback activation of AKT and ERK .