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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Yang, T. J. Wu, J. Z. Lu, P. Ma, W. |
| Description | Country affiliation: China Author Affiliation: Wu JZ ( Breast Cancer Diagnosis and Treatment Center Henan, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.); Yang TJ ( Gastrointestinal Surgery Department, People's Hospital of Zhengzhou, Zhengzhou, China.); Lu P ( Gastrointestinal Surgery Department, People's Hospital of Zhengzhou, Zhengzhou, China.); Ma W ( Department of Oncology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China linmeiwangzz@hotmail.com.) |
| Abstract | Breast cancer remains the second largest cause of death in women from cancer. By analyzing gene expression profiles in samples from breast cancer patients, 844 differentially expressed genes (DEGs) were identified in breast cancer metastasis. The 10 most significant signaling pathways identified through enrichment analysis contained DEGs were involved in oxidative phosphorylation, DNA replication, extracellular matrix-receptor interactions and others. Furthermore, survival analysis demonstrated that 5 of these signaling pathways were closely related to the survival time of breast cancer patients including basal transcription factors, cell cycle, ECM-receptor interaction, spliceosome, and DNA replication. Our findings increase the understanding of the network of signaling pathways involved in breast cancer metastasis and may provide theoretical support for further therapeutic study. |
| e-ISSN | 16765680 |
| Journal | Genetics and Molecular Research |
| Issue Number | 4 |
| Volume Number | 13 |
| Language | English |
| Publisher | Fundação de Pesquisas Científicas de Ribeirão Preto |
| Publisher Date | 2014-12-04 |
| Publisher Place | Brazil |
| Access Restriction | Open |
| Subject Keyword | Breast Neoplasms Genetics Neoplasm Recurrence, Local Signal Transduction Gene Expression Profiling Gene Expression Regulation, Neoplastic Survival Analysis Time Factors Discipline Genetics Discipline Molecular Biology Discipline Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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