Bashari Najmeh, Naghizadeh Mohammadamin, Chegini Mehrnaz Kalhor, Sadeghi Ensieh Sagheb, Zamani Atefeh, Mahdevar Mohammad
Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Genius Gene, Genetics and Biotechnology Company, Isfahan, Iran.
Biochem Genet. 2024 Aug 30. doi: 10.1007/s10528-024-10907-1.
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.
由于肿瘤细胞中缺乏雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子受体2(HER2)的表达,三阴性乳腺癌(TNBC)的治疗一直面临挑战。本研究旨在鉴定TNBC中具有潜在治疗靶点的基因。下载了来自癌症基因组图谱的乳腺癌(BC)数据。经过初步预处理后,癌症样本被分为四组:TNBC、HER2阳性、腔面A型和腔面B型。计算这些组之间的基因表达差异,重点关注在TNBC中显示出差异表达的基因。构建了蛋白质-蛋白质相互作用网络,以确定与TNBC相关的候选基因中的枢纽基因。使用来自人类蛋白质图谱的免疫组织化学数据评估候选基因的蛋白质表达。利用来自PharmacoDB的数据确定与枢纽基因相关的耐药性和敏感性。使用TNBC样本和RT-qPCR方法来证实结果。我们的研究结果显示,与其他亚组相比,PLK1、KIF4A、CDCA5、UBE2C、CDT1、SKA3、AURKB和PTTG1这八个基因在TNBC亚组的RNA水平上有显著上调,可被视为TNBC中的枢纽基因。与其他亚组相比,它们在TNBC样本中的表达水平具有高敏感性和特异性。RT-qPCR结果还表明,与健康组织和其他亚组相比,TNBC中SKA3和PTTG1的水平显著增加。这些基因在一些BC样本中的蛋白质表达明显较高。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。本研究结果显示,与其他BC亚组相比,TNBC中PLK1、KIF4A、CDCA5、UBE2C、CDT1、SKA3、AURKB和PTTG1的表达水平显著增加。这些基因作为TNBC亚组的治疗靶点显示出相当大的前景。