Exploring the molecular mechanism associated with breast cancer bone metastasis using bioinformatic analysis and microarray genetic interaction network

Medicine
Xinhua ChenZhihong Zheng

Abstract

Bone metastases are common in advanced breast cancer patients and frequently leading to skeletal-related morbidity and deterioration in the quality of life. Although chemotherapy and hormone therapy are able to control the symptoms caused by bone destruction, the underlying molecular mechanisms for the affinity of breast cancer cells towards skeletal bones are still not completely understood. In this study, bioinformatic analysis was performed on patients' microarray gene expression data to explore the molecular mechanism associated with breast cancer bone metastasis. Microarray gene expression profile regarding patients with breast cancer and disseminated tumor cells was downloaded from Gene Expression Omnibus (GEO) database (NCBI, NIH). Raw data were normalized and differently expressed genes were identified by using Significance Analysis of Microarrays (SAM) methods. Protein interaction networks were expanded using String. Moreover, molecular functions, biological processes and signaling pathway enrichment analysis were performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We identified 66 differentially expressed genes. After submitting the set of genes to String, genetic interaction network...Continue Reading

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Citations

Jul 23, 2019·Clinical and Experimental Pharmacology & Physiology·Gaetano Leto
Jul 8, 2020·International Journal of Molecular Sciences·Shaymaa AzawiMattia Manferrari
Feb 13, 2019·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Guillaume RieunierThomas Bogenrieder
Jun 3, 2021·Cancers·Nico Hinz, Manfred Jücker

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Datasets Mentioned

BETA
GSE14776

Methods Mentioned

BETA
biopsy

Software Mentioned

SAM
Excel
Significance Analysis of Microarrays ( SAM
DAVID
String platform

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