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Molecular Medicine Reports
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Print ISSN: 1791-2997 Online ISSN: 1791-3004
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October-2017 Volume 16 Issue 4

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International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

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Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

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Molecular mechanisms of breast cancer metastasis by gene expression profile analysis

  • Authors:
    • Tianying Zheng
    • Aijun Wang
    • Dongyan Hu
    • Yonggang Wang
  • View Affiliations / Copyright

    Affiliations: Department of Chemotherapy, Cancer Center, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China
    Copyright: © Zheng et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 4671-4677
    |
    Published online on: August 3, 2017
       https://doi.org/10.3892/mmr.2017.7157
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Abstract

Metastasis is the main cause of breast cancer‑related mortalities. The present study aimed to uncover the relevant molecular mechanisms of breast cancer metastasis and to explore potential biomarkers that may be used for prognosis. Expression profile microarray data GSE8977, which contained 22 stroma samples (15 were from normal breast and 7 were from invasive ductal carcinoma tumor samples), were obtained from the Gene Expression Omnibus database. Following data preprocessing, differentially expressed genes (DEGs) were selected based on analyses conducted using the linear models for microarray analysis package from R and Bioconductor software. The resulting data were used in subsequent function and pathway enrichment analyses, as well as protein‑protein interaction (PPI) network and subnetwork analyses. Transcription factors (TFs) and tumor‑associated genes were also identified among the DEGs. A total of 234 DEGs were identified, which were enriched in immune response, cell differentiation and cell adhesion‑related functions and pathways. Downregulated DEGs included TFs, such as the proto‑oncogene SPI1, pre‑B‑cell leukemia homeobox 3 (PBX3) and lymphoid enhancer‑binding factor 1 (LEF1), as well as tumor suppressors (TSs), such as capping actin protein, gelsolin like (CAPG) and tumor protein p53‑inducible nuclear protein 1 (TP53INP1). Upregulated DEGs also included TFs and tumor suppressors, consisting of transcription factor 7‑like 2 (TCF7L2) and pleiomorphic adenoma gene‑like 1 (PLAGL1). DEGs that were identified at the hub nodes in the PPI network and the subnetwork were epidermal growth factor receptor (EGFR) and spleen‑associated tyrosine kinase (SYK), respectively. Several genes crucial in the metastasis of breast cancer were identified, which may serve as potential biomarkers, many of which were associated with cell adhesion, proliferation or immune response, and may influence breast cancer metastasis by regulating these function or pathways.

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Copy and paste a formatted citation
Spandidos Publications style
Zheng T, Wang A, Hu D and Wang Y: Molecular mechanisms of breast cancer metastasis by gene expression profile analysis. Mol Med Rep 16: 4671-4677, 2017.
APA
Zheng, T., Wang, A., Hu, D., & Wang, Y. (2017). Molecular mechanisms of breast cancer metastasis by gene expression profile analysis. Molecular Medicine Reports, 16, 4671-4677. https://doi.org/10.3892/mmr.2017.7157
MLA
Zheng, T., Wang, A., Hu, D., Wang, Y."Molecular mechanisms of breast cancer metastasis by gene expression profile analysis". Molecular Medicine Reports 16.4 (2017): 4671-4677.
Chicago
Zheng, T., Wang, A., Hu, D., Wang, Y."Molecular mechanisms of breast cancer metastasis by gene expression profile analysis". Molecular Medicine Reports 16, no. 4 (2017): 4671-4677. https://doi.org/10.3892/mmr.2017.7157
Copy and paste a formatted citation
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Spandidos Publications style
Zheng T, Wang A, Hu D and Wang Y: Molecular mechanisms of breast cancer metastasis by gene expression profile analysis. Mol Med Rep 16: 4671-4677, 2017.
APA
Zheng, T., Wang, A., Hu, D., & Wang, Y. (2017). Molecular mechanisms of breast cancer metastasis by gene expression profile analysis. Molecular Medicine Reports, 16, 4671-4677. https://doi.org/10.3892/mmr.2017.7157
MLA
Zheng, T., Wang, A., Hu, D., Wang, Y."Molecular mechanisms of breast cancer metastasis by gene expression profile analysis". Molecular Medicine Reports 16.4 (2017): 4671-4677.
Chicago
Zheng, T., Wang, A., Hu, D., Wang, Y."Molecular mechanisms of breast cancer metastasis by gene expression profile analysis". Molecular Medicine Reports 16, no. 4 (2017): 4671-4677. https://doi.org/10.3892/mmr.2017.7157
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