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Your search keyword '"Hua-Mei Song"' showing total 6 results
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6 results on '"Hua-Mei Song"'

1. MiR-34a and miR-206 act as novel prognostic and therapy biomarkers in cervical cancer

Author

Ai-Hua Chen, Yu-E Qin, Wen-Fan Tang, Jing Tao, Hua-mei Song, and Manzhen Zuo

Subjects
MiR-34a, MiR-206, qRT-PCR, Cervical cancer, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671
Abstract

Abstract Background Recent evidence indicated that the aberrant expression of microRNA plays a crucial role in the development of cervical cancer. The overall shorter survival was strongly related to the abnormal expression of microRNA-34a (miR-34a) and microRNA-206 (miR-206), which target B cell lymphoma-2(Bcl2) and c-Met. Hepatocyte growth factor (HGF)/c-Met pathway is related to the occurrence, development and prognosis of cervical cancer, and c-Met is significantly overexpressed in cervical squamous cell carcinoma. Bcl2 is also considered to be a promising target for developing novel anticancer treatments. Methods In this study, we detect the expression of miR-34a and miR-206 in the cervical cancer tissue through quantificational real-time polymerase chain reaction (qRT-PCR) assay, and the expression of Bcl2 and c-Met from cervical cancer tissue were detected by immunohistochemistry. Results The expression of miR-34a and miR-206 were down-regulated in the cervical cancer tissue through qRT-PCR assay. As target genes of miR-34a and miR-206, Bcl2 and c-Met were up-regulated in cervical cancer tissues through qRT-PCR assay and immunohistochemistry. Kaplan–Meier and log-rank analysis revealed that down-regulated expression of miR-34a and miR-206 were strongly related to shorter overall survival. Multivariate Cox proportional hazards model for all variables that were statistically significant in the univariate analysis demonstrated that miR-34a (P = 0.038) and miR-206 (P = 0.008) might be independent prognostic factors for overall survival of patients suffering from cervical cancer. Conclusions The up-regulation of Bcl2 and c-Met promotes the cervical cancer’s progress, and the expression of miR-34a and miR-206 significantly correlated with the progression and prognosis in cervical cancer. All of these suggested that miR-34a and miR-206 might be the novel prognostic and therapy tools in cervical cancer.

Published
2017
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3. Comprehensive analysis of the expression and prognosis for S100 in human ovarian cancer

Author

Quan Zhou, Hua-Mei Song, and Hong-Yu Xu

Subjects
Oncology, medicine.medical_specialty, Observational Study, S100 family, Carcinoma, Ovarian Epithelial, medicine.disease_cause, 03 medical and health sciences, 0302 clinical medicine, Text mining, Internal medicine, Databases, Genetic, Kaplan–Meier plotter, Carcinoma, Humans, Medicine, Genetic Predisposition to Disease, RNA, Messenger, 030212 general & internal medicine, Stage (cooking), Pathological, Survival analysis, Neoplasm Staging, Mutation, biology, business.industry, S100 Proteins, S100A10, General Medicine, Prognosis, medicine.disease, Survival Analysis, ovarian cancer, 030220 oncology & carcinogenesis, biology.protein, Female, Neoplasm Grading, business, Ovarian cancer, signature, Research Article
Abstract

S100 family members are frequently deregulated in human malignancies, including ovarian cancer. However, the prognostic roles of each individual S100 family member in ovarian cancer (OC) patients remain elusive. In the present study, we assessed the prognostic roles and molecular function of 20 individual members of the S100 family in OC patients using GEPIA, Kaplan–Meier plotter, SurvExpress, GeneMANIA and Funrich database. Our results indicated that the mRNA expression levels of S100A1, S100A2, S100A4, S100A5, S100A11, S100A14, and S100A16 were significantly upregulated in patients with OC, and high mRNA expression of S100A1, S100A3, S100A5, S100A6, and S100A13 were significantly correlated with better overall survival, while increased S100A2, S100A7A, S100A10, and S100A11 mRNA expressions were associated with worse prognosis in OC patients. In stratified analysis, the trends of high expression of individual S100 members were nearly the same in different pathological grade, clinical stage, TP53 mutation status, and treatment. More importantly, S100 family signatures may be useful potential prognostic markers for OC. These findings suggest that S100 family plays a vital role in prognostic value and could potentially be an S100-targeted inhibitors for OC patients.

Published
2020
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5. QoS-Driven Service Composition Modeling with Extended Hierarchical CPN

Author

Xiao-cong Zhou, Wen-jun Li, Xiao-jun Liang, and Hua-mei Song

Subjects
Service (business), CPN Tools, Grid computing, Computer science, computer.internet_protocol, Concurrency, Distributed computing, Quality of service, Service-oriented architecture, Petri net, Software architecture, computer.software_genre, computer
Abstract

Quality of service (QoS) plays an important role in the composition of services. A colored Petri net (CPN) based approach is proposed to model and analyze QoS-driven service composition in a service-oriented architecture (SOA), where all services are considered as dynamic joining and quitting resources. Modeling with an extension of the hierarchical CPN, which is named QSC-net, the QoS-driven features are expressed in the service composition model explicitly, along with the dynamic change of service resources and the uncertain execution of composition processes at runtime. QSC-nets support not only the classical property analysis provided by CPN tools, but also new properties concerning the maximal concurrency of services in the composition model. Compared with existing Petri net based modeling approaches, QSCnets are specially suitable for the modeling and analysis of service composition in a dynamic environment, such as a virtual organization (VO) defined by grid computing.

Published
2007
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