乳腺癌数据集的基因组规模荟萃分析确定了药物开发的有希望的靶点。

IF 1.9 3区 生物学 Q2 BIOLOGY
Reem Altaf, Humaira Nadeem, Mustafeez Mujtaba Babar, Umair Ilyas, Syed Aun Muhammad
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引用次数: 6

摘要

背景:由于乳腺癌的高度异质性,每种亚型对几种治疗方案的反应不同。这限制了转移性乳腺癌疾病的治疗选择,需要探索不同的治疗模式来靶向肿瘤特异性生物标志物。方法:通过广泛的数据图谱,研究了差异表达的乳腺癌基因与参与乳腺癌进展的其他靶蛋白的相互作用。通过通路分析研究了这些特征基因参与乳腺癌转移的分子机制。这些基因的潜在药物靶点也被确定。结果:基于折叠变化和p值,从50个deg中鉴定出20个基因,这些基因的数据管理有助于筛选出8个潜在的基因特征,这些基因特征可作为乳腺癌的潜在候选基因。他们的网络和通路分析阐明了这些基因在乳腺癌中的作用,以及它们与参与疾病转移进展的其他信号通路的相互作用。通过miRDB预测器确定的miRNA靶点为这些可能参与乳腺癌进展的基因提供了潜在的miRNA靶点。几个FDA批准的药物靶点被确定为特征基因,减轻了乳腺癌治疗的治疗选择。结论:本研究进一步阐明了信号基因的作用、与其他基因的相互作用以及信号通路。miRNA预测和确定的潜在药物将有助于评估这些靶点在乳腺癌中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Genome-scale meta-analysis of breast cancer datasets identifies promising targets for drug development.

Genome-scale meta-analysis of breast cancer datasets identifies promising targets for drug development.

Genome-scale meta-analysis of breast cancer datasets identifies promising targets for drug development.

Genome-scale meta-analysis of breast cancer datasets identifies promising targets for drug development.

Background: Because of the highly heterogeneous nature of breast cancer, each subtype differs in response to several treatment regimens. This has limited the therapeutic options for metastatic breast cancer disease requiring exploration of diverse therapeutic models to target tumor specific biomarkers.

Methods: Differentially expressed breast cancer genes identified through extensive data mapping were studied for their interaction with other target proteins involved in breast cancer progression. The molecular mechanisms by which these signature genes are involved in breast cancer metastasis were also studied through pathway analysis. The potential drug targets for these genes were also identified.

Results: From 50 DEGs, 20 genes were identified based on fold change and p-value and the data curation of these genes helped in shortlisting 8 potential gene signatures that can be used as potential candidates for breast cancer. Their network and pathway analysis clarified the role of these genes in breast cancer and their interaction with other signaling pathways involved in the progression of disease metastasis. The miRNA targets identified through miRDB predictor provided potential miRNA targets for these genes that can be involved in breast cancer progression. Several FDA approved drug targets were identified for the signature genes easing the therapeutic options for breast cancer treatment.

Conclusion: The study provides a more clarified role of signature genes, their interaction with other genes as well as signaling pathways. The miRNA prediction and the potential drugs identified will aid in assessing the role of these targets in breast cancer.

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来源期刊
CiteScore
5.20
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal of Biological Research-Thessaloniki is a peer-reviewed, open access, international journal that publishes articles providing novel insights into the major fields of biology. Topics covered in Journal of Biological Research-Thessaloniki include, but are not limited to: molecular biology, cytology, genetics, evolutionary biology, morphology, development and differentiation, taxonomy, bioinformatics, physiology, marine biology, behaviour, ecology and conservation.
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