Bioinformatics analysis of the genes related to the pregnancy associated breast cancer

doi:10.16098/j.issn.0529-1356.2016.03.010

Abstract

Abstract:

Objective The differentially expressed genes of pregnancy associated breast cancer patients and normal subjects were analyzed by Bioinformatics to reveal the pathogenesis of pregnancy associated breast cancer on the molecules level and to provide new ideas for the further study on breast cancer. Methods The microarray data sets of pregnancy associated breast cancer were downloaded from the public gene expression database (Gene Expression Omnibus, GEO); differential genes of pregnancy associated breast cancer patients and normal subjects were selected by Qlucore Omics Explore (QOE); DAIVID, and STRING were adopted to analyze the function and signal pathway and to predict the protein-protein interaction of the differential genes. Results A total of 148 differentially expressed genes were screened, among which 24 were up-regulated and the other 124 were downregulated. The results of these 148 differential genes bioinformatics analysis showed that the genes TAGLN, ACTG2, TPM2, TPM3, MYLK, ACTA2, MTH11, and mitogen activated protein kinase(MAPK) signaling pathway, and focal adhesion pathway, and vascular smooth muscle contraction pathway may play important roles in the development of pregnancy associated breast cancer. The results of STRING analysis showed that 20 genes were located in the key nodes of the protein interaction network. Conclusion Bioinformatics method can be utilized to analyze microarray data effectively andmining the deeper information of the data, providing valuable clues for the further researches.

TENG Mu-zhou CHEN Li-na LU Yan-fang MA Wen-li*. Bioinformatics analysis of the genes related to the pregnancy associated breast cancer[J]. AAS, 2016, (3): 348-352.

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