BACKGROUND Breast cancer (BC) has been identified as a significant contributor to the rising number of female cancer deaths. As, it has become clear that breast cancer development depends on the interplay of several biological factors against a single molecule. This research aimed to use proteomics to gain a regulatory and metabolic understanding of BC pathophysiology. METHOD For the study, a breast cancer proteomics dataset was downloaded from ProteomeXchange and then analyzed by employing MaxQuant and Perseus. Functional enrichment analysis through Metascape and Cytoscape software showed DEPs related biomedical phenomena with potential abruption. The expression of selected lncRNA in terms of the highest connectivity parameters was then quantitatively assessed through RT-PCR in 30 tumor tissues of breast cancer patients, as compared to the adjacent healthy ones. RESULT The results indicated that among the 3048 identified proteins, 1149 were differentially expressed, which could be mainly enriched in several key terms. Furthermore, the obtained findings revealed that ITGB1-DT was significantly overexpressed in tumor tissues. Moreover, we found five potential compounds that could be attributed to ITGB1-DT targets (ATN-161, Firategrast, SB-683698, dabigatran-etexilate, and tranexamic-acid). CONCLUSION These analyses proposed that ITGB1-DT could be employed as a differentiated factor to identify breast tumor tissues in healthy samples. Besides this, Firategrast could be introduced as a potential remedial agent for breast cancer patients. Overall, from the analysis of a proteomics dataset, an integrative map was generated, and a novel biomarker that may have been implicated in the early detection of BC was introduced.

中文翻译：

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使用乳腺癌蛋白质组数据和 RT-PCR 的生物信息学分析，介绍了 ITGB1-DT 作为与五种潜在药物相关的新型生物标志物。

背景技术乳腺癌(BC)已被确定为导致女性癌症死亡人数不断上升的一个重要因素。众所周知，乳腺癌的发展取决于多种生物因素对单个分子的相互作用。本研究旨在利用蛋白质组学来了解 BC 病理生理学的调节和代谢。方法 在本研究中，从 ProteomeXchange 下载乳腺癌蛋白质组数据集，然后使用 MaxQuant 和 Perseus 进行分析。通过 Metascape 和 Cytoscape 软件进行的功能富集分析表明，DEP 相关的生物医学现象具有潜在的中断。然后通过RT-PCR在乳腺癌患者的30个肿瘤组织中定量评估所选lncRNA在最高连接参数方面的表达，并与邻近的健康组织进行比较。结果结果表明，在3048个鉴定的蛋白质中，有1149个存在差异表达，主要富集在几个关键术语上。此外，获得的结果表明ITGB1-DT在肿瘤组织中显着过表达。此外，我们发现了五种可能属于 ITGB1-DT 靶点的潜在化合物（ATN-161、Firategrast、SB-683698、达比加群酯和氨甲环酸）。结论 这些分析表明，ITGB1-DT 可用作鉴别健康样本中乳腺肿瘤组织的分化因子。除此之外，Firategrast 可以作为乳腺癌患者的潜在治疗药物引入。总体而言，通过对蛋白质组学数据集的分析，生成了综合图谱，并引入了可能与 BC 早期检测有关的新型生物标志物。