Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.

BACKGROUND: Ovarian cancer is one of the three major malignant tumors of the female reproductive system, and the mortality associated with ovarian cancer ranks first among gynecologic malignant tumors. The pathogenesis of ovarian cancer is not yet clearly defined but elucidating this process would be of great significance for clinical diagnosis, prevention, and treatment. For this study, we used bioinformatics to identify the key pathogenic genes and reveal the potential molecular mechanisms of ovarian cancer; we used immunohistochemistry to validate them. METHODS: We analyzed and integrated four gene expression profiles (GSE14407, GSE18520, GSE26712, and GSE54388), which were downloaded from the Gene Expression Omnibus (GEO) database, with the aim of obtaining a common differentially expressed gene (DEG). Then, we performed Gene Ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). We then established a protein-protein interaction (PPI) network of the DEGs through the Search Tool for the Retrieval of Interacting Genes (STRING) database and selected hub genes. Finally, survival analysis of the hub genes was performed using a Kmplotter online tool. RESULTS: A total of 226 DEGs were detected after the analysis of the four gene expression profiles; of these, 87 were upregulated genes and 139 were downregulated. GO analysis results showed that DEGs were significantly enriched in biological processes including the G2/M transition of the mitotic cell cycle, the apoptotic process, cell proliferation, blood coagulation, and positive regulation of the canonical Wnt signaling pathway. KEGG analysis results showed that DEGs were particularly enriched in the cell cycle, the p53 signaling pathway, the Wnt signaling pathway, the Ras signaling pathway, the Rap1 signaling pathway, and tyrosine metabolism. We selected 50 hub genes from the PPI network, which had 147 nodes and 655 edges, and 30 of them were associated with the prognosis of ovarian cancer. We performed immunohistochemistry on phosphoserine aminotransferase 1 (PSAT1). PSAT1 was highly expressed in cancer tissues, and its expression level was related to clinical stage and tissue differentiation in ovarian cancer. A Cox proportional risk model suggested that high expression of PSAT1 and late clinical stage were independent risk factors for survival and prognosis of ovarian cancer patients. CONCLUSION: The detection of DEGs using bioinformatics analysis might be crucial to understanding the pathogenesis of ovarian cancer, especially the molecular mechanisms of its development. The association between PSAT1 expression and the occurrence, development, and prognosis of ovarian cancer was further verified by immunohistochemistry. The PSAT1 expression can be used as a prognostic marker to provide a potential target for the diagnosis and treatment of ovarian cancer.

Expressions of CD44,CD47,and c-met in Ovarian Clear Cell Carcinoma and Their Clinical Significance / 中国医学科学院学报

Objective To investigate the expressions of CD44,CD47,and c-met in ovarian clear cell carcinoma (OCCC) tissue and their correlations with clinical variables and prognosis. Methods Immunohistochemical method was used to investigate the expressions of CD44,CD47,and c-met in tissues from 86 OCCC patients and the relationships of their expressions with the clinicopathological factors of OCCC were analyzed. Results The expressions of CD44,CD47,and c-met were significantly high in OCCC tissues (90.7%,91.9%,and 94.2%,respectively). The strong positive expressions of CD44 and CD47 were significantly correlated with advanced International Federation of Gynecology and Obstetrics stages,chemotherapeutic resistance,and poor prognosis (all P<0.05),the strong positive expression of c-met was significantly correlated with chemotherapeutic resistance and poor prognosis (all P<0.05),whereas there was no correlation between the strong positive expressions of CD44,CD47,and c-met and the lymphatic node metastasis. COX survival analysis revealed that advanced International Federation of Gynecology and Obstetrics stages and high expressions of CD44,CD47 and c-met were independent risk factors for poor prognosis (P<0.05). There was a positive correlation between CD44 (or CD47) and c-met and between CD44 and CD47 (the Spearman correlation coefficient rwas 0.783,0.776,and 0.835,respectively,all P<0.01). Conclusions The expressions of CD44,CD47,and c-met increase in OCCC tissues and are correlated with each other. High expressions of CD44,CD47,and c-met are independent factors for poor prognosis.

Relationship between PD-1 expression on peripheral T lymphcytes and HBeAg seroconversion after entecavir treatment in chronic hepatitis B patients / 中华肝脏病杂志

To observe longitudinally the expression of Programmed death 1(PD-1) on peripheral blood T cells in chronic hepatitis B patients underwent antiviral treatment with entecavir (ETV) and to explore the relationship between PD-1 expression and HBeAg seroconversion. Twenty HBeAg positive patients underwent antiviral treatment with ETV were followed up for 51 weeks. 14 patients remained HBeAg positive and 6 patients achieved HBeAg seroconversion. Peripheral blood was collected at six time points: T0: baseline, T1: 2-4week; T2: 5-10week; T3: 11-20week; T4: 21-30week: T5: 31-51week. PD-1 expressions on T cells were assessed by flow cytometry. Serum HBV DNA loads were determined by real-time fluorescent quantitative polymerase chain reaction (PCR) and serum ALT levels were examined at the same time. At baseline, serum HBV DNA load of patients without HBeAg seroconversion and with HBeAg seroconversion were (7.54+/-0.67) log10 copies/ml and (7.30+/-0.79) log10 copies/ml (P more than 0.05), the ALT levels were (187.26+/-184.15) U/L and (272.17+/-215.07) U/L (P more than 0.05), PD-1 exprissions on CD4+ T cells were 6.04%+/-3.71% and 6.77%+/-2.88% (P more than 0.05), PD-1 exprissions on CD8+ T cells were 6.39%+/-3.33% and 8.88%+/-2.84% (P more than 0.05). After ETV treatment, serum HBV DNA loads and ALT levels both decreased gradually, which was positively correlated with PD-1 expressions on CD4+ and CD8+ T cells (r=0.212, P = 0.05; r=0.377, P less than 0.01; r=0.279, P less than 0.05; r=0.347, P less than 0.01). During the same monitoring period, the HBV DNA loads, ALT levels and PD-1 expressions on T cells of the patients with HBeAg seroconversion decreased significantly as compared with the patients without HBeAg seroconversion. Besides, the decrease of HBV DNA loads during period deltaT0-T1 and deltaT0-T2 and PD-1 expressions on CD8+ T cells during period deltaT0-T2 and deltaT0-T3 were significantly different between these two kinds of patients (49.9% vs 37.3%, P less than 0.05; 56.7% vs 47.4%, P less than 0.05; 70.1% vs -4.2%, P less than 0.05; 66.9% vs 24.5%, P less than 0.05). The rapid decrease of PD-1 expression on peripheral CD8+ T cells after antiviral treatment with ETV is positvely correlated with the decrease of serum HBV DNA loads and may be used as a predictive index for HBeAg seroconversion in HBeAg positive patients.

Development of the personalized criteria for microscopic review following four different series of hematology analyzer in a Chinese large scale hospital / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>A generally accepted guideline ("41 rules") published by the International Consensus Group for Hematology Review (ICGHR) can not be suitable for all the laboratories because the facility type, laboratory requirements, sample volume, review rate, turn around time, instrument model and characters etc. are quite different from each other, which may cause a higher workload for microscopy review or lead to false or misleading results. Therefore, we decided to develop the personalized review criteria for 4 series of hematology analyzers in the same hospital, and describe all the implement procedures in detail.</p><p><b>METHODS</b>The total 1770 blood samples were collected from Peking Union Medical College Hospital. Referring to the suggested criteria by international consensus group for hematology review ("41 rules"), the personalized review criteria for 4 series of hematology analyzers including Siemens Advia 2120, Sysmex XE-2100, Sysmex XT-1800i and Sysmex XS-800i were established and validated by adjusting the rules in order to reduce the false positive rate and keep the false negative acceptable by clinical.</p><p><b>RESULTS</b>Using the "41 rules", high review rates of 37.94%, 35.56%, 33.44% and 37.94% were got respectively in Siemens Advia 2120, Sysmex XE-2100, Sysmex XT-1800i and Sysmex XS-800i. Three false positive rules mainly were observed in all of 4 analyzers: white blood cell < 3 × 10(9)/L or >30 × 10(9)/L, platelet < 100 × 10(9)/L or > 1000 × 10(9)/L and immature granulocyte. Specialized rules were observed in different series of analyzers, atypical/variant lymphs flag were found mainly in Sysmex XE-2100, Aniso-RBC were found mainly in Sysmex XT-1800i, flag of "immature granulocyte" mainly in Sysmex XS-800i, Micro-RBC, Macro-RBC and Aniso-RBC mainly in Siemens Advia 2120. Rules of immature granulocyte, blast, and NRBC flag would be mainly triggered by hematology malignant tumor. We could not delete these rules due to the risk of false negative of serious disease, other rules were deleted or revised. After continually optimizing to the rules, we finalized the criteria suitable for Siemens Advia 2120, Sysmex XE-2100, Sysmex XT-1800i and Sysmex XS-800i in our laboratory. The false negative rates were 2.94%, 2.86%, 3.10% and 2.78%, the review rates were 31.07%, 30.00%, 30.01% and 30.09%, and there was no hematology malignant tumor missed. Validated by 547 samples, the false negative rates of our optimized rules were 0.37%, 0.55%, 0.55%, and 0.91% respectively.</p><p><b>CONCLUSION</b>The criteria can be based on the criteria established by International Consensus Group for Hematology Review but must be optimized according to the different requirements.</p>

Effect of Lewis y antigen on regulating gene expression of partial drug resistance associated proteins in human ovarian cancer cell line RMG-I-H / 中国医学科学院学报

<p><b>OBJECTIVE</b>To investigate the influence of Lewis y antigen on the gene expression of partial drug resistance associated proteins in human ovarian cancer cell line RMG-I-H.</p><p><b>METHODS</b>RT-PCR was used to determine the gene expressions of partial drug resistance associated proteins in RMG-I-H cell line transfected with alpha1, 2-fucosyltransferases gene and RMG-I cell line, as well as in RMG-I-H treated with or without anti-Lewis y monoclonal antibody at the concentration of 10 micro/g/ml. The immunocytochemical method was used to detect the expression of P-glycoprotein (P-gp) in RMG-I and RMG-I-H cell lines. RMG-I and RMG-I-H cells were transplanted into nude mice and the expression of P-gp in the tissues was measured by immunohistochemistry.</p><p><b>RESULTS</b>The mRNA expressions of protein kinase C-alpha (PKC-alpha), topoismerase I ( Topo I ), multidrug resistance-associated protein-1 (MRP-1), and MRP-2 were significantly higher in RMG-I-H cells than those in RMG-I cells (0.46 +/- 0.02 vs. 0.27 +/- 0.05, 0.82 +/- 0.08 vs. 0.52 +/- 0.04, 0.66 +/- 0.07 vs. 0.34 +/- 0.12, and 0.44 +/- 0.08 vs. 0.23 +/- 0.05; all P < 0.05). However, the mRNA expression of multi-drug resistance 1 (MDR-1) was significantly lower in RMG-I-H cells than that in RMG-I cells (0.26 +/- 0.05 vs. 0.45 +/- 0.08, P < 0.05). The P-gp level increased in RMG-I-H cells compared with that in RMG-I cells both in vivo and in vitro (P < 0.05). Expressions of MDR-1, MRP-1, MRP-2, PKC-alpha, and Topo I mRNA decreased by the time in RMG-I-H cells treated with anti-Lewis y monoclonal antibody (all P < 0.05), while mRNA expressions of those genes in the control group did not statistically change (P > 0.05). In addition, MDR-1, MRP-1, MRP-2, PKC-alpha, and Topo I mRNA expressions were significantly lower in RMG-I-H cells treated with anti-Lewis y monoclonal antibody than those in the control group at 6 hours (all P < 0.05) and the inhibition ratios were 48.55%, 77.50%, 70.18%, 45.86%, and 46.13%, respectively.</p><p><b>CONCLUSION</b>The Lewis y antigen of the human ovarian cancer cell surface is closely correlated with the regulation on the gene expression of partial drug resistance associated proteins.</p>

Transfection of alpha1, 2-fucosyltransferase gene increases the antigenic expression of Lewis y in ovarian cancer cell line RMG-I / 中国医学科学院学报

<p><b>OBJECTIVE</b>To transfect human alpha1, 2-fucosyltransferase (alpha1, 2-FT) gene to ovarian cancer cell line RMG-I and investigate the antigenic expression change of Lewis y and the other related oligosaccharides.</p><p><b>METHODS</b>The expression vector pcDNA3.1(-)-HFUT-H was constructed by polymerase chain reaction (PCR) to clone human alpha1, 2-FT gene coding region. The alpha1, 2-FT gene stable high-expression cell line RMG-I-H was established by transfecting pcDNA3.1(-)-HFUT-H to ovarian cell line RMG-I. The change of alpha1, 2-FT activity in the cell line before and after the tranfection was confirmed by the determination of enzymatic activity. The changes of cell lipid and glucolipid, especially the change of type II oligosaccharide, in the cell line before and after the transfection was determined by Thin-Layer Chromatography (TLC) and TLC immunostaining method, respectively.</p><p><b>RESULTS</b>The H-1 antigen and Lewis y antigen were obviously increased in the cell line RMG-1-H, especially the latter one, which was 20 times higher than before, and the type I saccharide chain Lewis b was decreased significantly. The main lipid components on the cell membrane, cholesterol and phosphatides, showed no change in the cell lines before and after the transfection, and the neutral glycolipid also showed no obvious change.</p><p><b>CONCLUSIONS</b>The transfection of alpha1, 2-FT gene can increase the activity of alpha1, 2-FT in the cell line RMG-I and mainly increase the expression of Lewis y antigen simultaneously. The construction of RMG-I Lewis y high expression cell line provides a cell model for further study on the relationship between Lewis y antigen and biological behaviors in the ovarian cancer.</p>