Loss of HOXB3 correlates with the development of hormone receptor negative breast cancer.

Loss of HOXB3 correlates with the development of hormone receptor negative breast cancer.
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HOXB3的缺失促进激素受体阴性乳腺癌的发展

DOI:
10.7717/peerj.10421
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发表时间:
2020
期刊:
影响因子:
2.7
通讯作者:
Wang B
Wang B
中科院分区:
生物学3区
文献类型:
--
作者:
Zhu L;Yu S;Jiang S;Ge G;Yan Y;Zhou Y;Niu L;He J;Ren Y;Wang B

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同源盒基因家族编码一种特定的核蛋白,对胚胎发育、分化和内环境稳定至关重要。HOXB 3蛋白在不同肿瘤中的作用不同。本研究旨在探讨HOXB 3基因在乳腺癌中的作用。通过分析来自TCGA和GEO数据库的转移性乳腺癌基因芯片数据筛选差异表达基因。还在不同的数据库中并通过qRT-PCR、蛋白质印迹和IF等分子生物学方法分析了所选HOXB 3基因的功能,以验证生物信息学发现。生物信息学分析和蛋白质印迹均显示,与正常乳腺组织相比,HOXB 3在乳腺癌中丢失。生存分析还显示HOXB 3的低表达与不良预后相关。生物信息学分析进一步表明HOXB 3与激素受体呈正相关。Metascape for GO分析GEO数据提供了HOXB 3在乳腺癌中积极调节细胞粘附、抑制细胞增殖和激活免疫反应的可能机制;此外,GSEA包括几个癌症相关通路。总之,HOXB 3在乳腺癌中表达降低,并且与不良预后相关。有望成为预测乳腺癌预后的一种新的生物标志物。
The homeobox gene family, encoding a specific nuclear protein, is essential for embryonic development, differentiation, and homeostasis. The role of the HOXB3 protein varies in different tumors. This study aims to explore the role of the HOXB3 gene in breast cancer. Differentially expressed genes were screened by analyzing metastatic breast cancer gene chip data from TCGA and GEO databases. The function of the selected HOXB3 gene was also analyzed in different databases and through molecular biology methods, such as qRT-PCR, western blot and IF to verify bioinformatics findings. Both bioinformatics analyses and western blot showed that HOXB3 was lost in breast cancer compared to normal breast tissue. Survival analysis also showed that lower expression of HOXB3 was associated with poor prognosis. Bioinformatics analyses further showed that HOXB3 was positively correlated with hormone receptors. Metascape for GO analysis of GEO data provided possible mechanisms that HOXB3 could positively regulate cell adhesion, inhibit cell proliferation and activate immune response in breast cancer; moreover, GSEA included several cancer-associated pathways. In summary, HOXB3 expression was decreased in breast cancer, and it was associated with poor prognosis. It might become a new biomarker to predict prognosis of breast cancer.
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