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生物信息学分析突出差异表达的 CCNB1 和 PLK1 基因作为潜在的抗乳腺癌药物靶点和预后标志物。

Bioinformatics Analysis Highlight Differentially Expressed CCNB1 and PLK1 Genes as Potential Anti-Breast Cancer Drug Targets and Prognostic Markers.

机构信息

School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.

School of Pharmacy, Binzhou Medical University, Yantai 264003, China.

出版信息

Genes (Basel). 2022 Apr 7;13(4):654. doi: 10.3390/genes13040654.

DOI:10.3390/genes13040654
PMID:35456460
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9027215/
Abstract

Breast cancer is one of the most common malignant tumors in women worldwide. Early diagnosis, treatment, and prognosis of breast cancer are global challenges. Identification of valid predictive diagnosis and prognosis biomarkers and drug targets are crucial for breast cancer prevention. This study characterizes differentially expressed genes (DEGs) based on the TCGA database by using DESeq2, edgeR, and limma. A total of 2032 DEGs, including 1026 up-regulated genes and 1006 down-regulated genes were screened. Followed with WGCNA, PPI analysis, GEPIA 2, and HPA database verification, thirteen hub genes including , , , , , , , , , , , , , , and were obtained, and they may serve as potential therapeutic targets of breast cancer. Especially, overexpression of and are strongly associated with the low survival rate of breast cancer patients, demonstrating their potentiality as prognostic markers. Moreover, and are highly expressed in all breast cancer stages, suggesting that they could be further studied as potential drug targets. Taken together, our study highlights and as potential anti-breast cancer drug targets and prognostic markers.

摘要

乳腺癌是全球女性最常见的恶性肿瘤之一。乳腺癌的早期诊断、治疗和预后是全球性的挑战。鉴定有效的预测诊断和预后生物标志物及药物靶点对于乳腺癌的预防至关重要。本研究通过 DESeq2、edgeR 和 limma 基于 TCGA 数据库对差异表达基因（DEGs）进行了特征分析。共筛选出 2032 个 DEGs，包括 1026 个上调基因和 1006 个下调基因。通过 WGCNA、PPI 分析、GEPIA2 和 HPA 数据库验证，获得了 13 个枢纽基因，包括 、 、 、 、 、 、 、 、 、 、 、 ，它们可能作为乳腺癌的潜在治疗靶点。特别是， 和 的高表达与乳腺癌患者的低生存率密切相关，表明它们可能作为预后标志物。此外， 在所有乳腺癌分期中均高度表达，提示它们可能进一步作为潜在的药物靶点进行研究。综上所述，本研究强调 和 作为潜在的抗乳腺癌药物靶点和预后标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/b6afc138f8fc/genes-13-00654-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/7903fe5c7120/genes-13-00654-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/c5324db98eb6/genes-13-00654-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/4552cbe8b222/genes-13-00654-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/7823bd122425/genes-13-00654-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/3d00821e86e8/genes-13-00654-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/5280c3b1fe61/genes-13-00654-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/b6afc138f8fc/genes-13-00654-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/7903fe5c7120/genes-13-00654-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/c5324db98eb6/genes-13-00654-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/4552cbe8b222/genes-13-00654-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/7823bd122425/genes-13-00654-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/3d00821e86e8/genes-13-00654-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/5280c3b1fe61/genes-13-00654-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f254/9027215/b6afc138f8fc/genes-13-00654-g007.jpg

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