Therapeutic Potential of PLK1, KIF4A, CDCA5, UBE2C, CDT1, SKA3, AURKB, and PTTG1 Genes in Triple-Negative Breast Cancer: Correlating Their Expression with Sensitivity to GSK 461364 and IKK 16 Drugs.

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Najmeh Bashari, Mohammadamin Naghizadeh, Mehrnaz Kalhor Chegini, Ensieh Sagheb Sadeghi, Atefeh Zamani, Mohammad Mahdevar
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引用次数: 0

Abstract

The treatment of triple-negative breast cancer (TNBC) has been associated with challenges due to the lack of expression of ER, PR, and HER2 receptors in tumor cells. This study aimed to identify genes with potential therapeutic targets in TNBC. Data from the cancer genome atlas regarding breast cancer (BC) were downloaded. After initial preprocessing, cancer samples were categorized into four groups: TNBC, HER2-positive, luminal A, and luminal B. Gene expression differences between these groups were calculated, focusing on genes that showed differential expression in TNBC. A protein-protein interaction network was conducted to identify hub genes among the candidate genes related to TNBC. The protein expression of candidate genes was assessed using immunohistochemistry data from the human protein atlas. Drug resistance and sensitivity associated with hub genes were identified using data from PharmacoDB. TNBC samples and the RT-qPCR method were used to confirm the results. Our findings revealed that eight genes, namely PLK1, KIF4A, CDCA5, UBE2C, CDT1, SKA3, AURKB, and PTTG1, had significant upregulation at the RNA level in TNBC subgroup compared to other subgroups and could be considered hub genes in TNBC. Compared to other subgroups, their expression level in TNBC samples had high sensitivity and specificity. RT-qPCR results also demonstrated a significant increase in levels of SKA3 and PTTG1 in the TNBC compared to healthy tissue and other subgroups. The protein expression of these genes was notably high in some BC samples. PharmacoDB data showed that some candidate genes were closely linked to drug sensitivity of GSK 461364 and IKK 16. The results of this study showed a significant increase in the expression level of PLK1, KIF4A, CDCA5, UBE2C, CDT1, SKA3, AURKB, and PTTG1 in TNBC compared to other BC subgroups. These genes show considerable promise as therapeutic targets for the TNBC subgroup.

Abstract Image

PLK1、KIF4A、CDCA5、UBE2C、CDT1、SKA3、AURKB 和 PTTG1 基因在三阴性乳腺癌中的治疗潜力:它们的表达与对 GSK 461364 和 IKK 16 药物的敏感性相关联
由于肿瘤细胞中缺乏 ER、PR 和 HER2 受体的表达,三阴性乳腺癌(TNBC)的治疗一直面临挑战。本研究旨在确定 TNBC 潜在的治疗靶点基因。研究人员从癌症基因组图谱中下载了有关乳腺癌(BC)的数据。经过初步预处理后,癌症样本被分为四组:计算这些组间的基因表达差异,重点关注在 TNBC 中表现出差异表达的基因。进行了蛋白-蛋白相互作用网络研究,以确定与 TNBC 相关的候选基因中的枢纽基因。候选基因的蛋白质表达利用人类蛋白质图谱中的免疫组化数据进行评估。利用PharmacoDB的数据确定了与枢纽基因相关的耐药性和敏感性。我们使用 TNBC 样本和 RT-qPCR 方法来确认结果。我们的研究结果表明,与其他亚组相比,PLK1、KIF4A、CDCA5、UBE2C、CDT1、SKA3、AURKB和PTTG1这8个基因在TNBC亚组的RNA水平有显著上调,可被视为TNBC的枢纽基因。与其他亚组相比,它们在 TNBC 样本中的表达水平具有较高的敏感性和特异性。RT-qPCR 结果还显示,与健康组织和其他亚组相比,SKA3 和 PTTG1 在 TNBC 中的水平显著增加。在一些 BC 样本中,这些基因的蛋白表达明显偏高。PharmacoDB 数据显示,一些候选基因与 GSK 461364 和 IKK 16 的药物敏感性密切相关。研究结果表明,与其他 BC 亚组相比,PLK1、KIF4A、CDCA5、UBE2C、CDT1、SKA3、AURKB 和 PTTG1 在 TNBC 中的表达水平显著增加。这些基因有望成为 TNBC 亚群的治疗靶点。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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