Integrated Proteomic and N-Glycoproteomic Analyses of Human Breast Cancer.,Journal of Proteome Research

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Integrated Proteomic and N-Glycoproteomic Analyses of Human Breast Cancer.
Journal of Proteome Research ( IF 3.8 ) Pub Date : 2020-06-16 , DOI: 10.1021/acs.jproteome.0c00311
Zhiyuan Wang _{1,

2} , Hua Liu ₃ , Yu Yan ₁ , Xiangyun Yang ₁ , Yaoyang Zhang ₁ , Linshi Wu ₃

Affiliation

Breast cancer is one of the most common cancers in women worldwide. In the past decades, many advances have been made in understanding and treating breast cancer. However, due to the highly heterogeneous nature of this disease, a precise characterization of breast cancer on the molecular level is of great importance but not yet readily available. In the present study, we systematically profiled proteomes and N-glycoproteomes of cancerous, paracancerous, and distal noncancerous tissues from patients with breast cancer. The data revealed distinct proteomic and N-glycoproteomic landscapes between different tissues, showing biological insights obtained from the two data sets were complementary. Specifically, the complement and angiogenesis pathways in the paracancerous tissues were activated. Taken together, the changes that occurred in paracancer tissue and N-glycoproteomics are important complements to the conventional proteomic analysis of cancer tissue. Their combination provides more precise and sensitive molecular correlates of breast cancer. Our data and strategy shed light on precisely defining breast cancer, providing valuable information for individual patient diagnosis and treatment. The MS data of this study have been deposited under the accession number IPX0001924000 at iProX.

中文翻译：

人类乳腺癌的蛋白质组学和N-糖皮质激素综合分析。

乳腺癌是全世界女性中最常见的癌症之一。在过去的几十年中，在了解和治疗乳腺癌方面取得了许多进展。然而，由于该疾病的高度异质性，在分子水平上对乳腺癌进行精确表征非常重要，但尚不容易获得。在本研究中，我们系统地分析了来自乳腺癌患者的癌，癌旁和末梢非癌组织的蛋白质组和N-糖基蛋白质组。数据揭示了不同组织之间的蛋白质组学和N-糖代谢组学特征，这表明从这两个数据集获得的生物学见解是互补的。具体而言，癌旁组织中的补体和血管生成途径被激活。在一起癌旁组织和N-糖蛋白组学中发生的变化是对癌组织常规蛋白质组学分析的重要补充。它们的组合提供了更精确和敏感的乳腺癌分子相关性。我们的数据和策略为精确定义乳腺癌提供了信息，为个体患者的诊断和治疗提供了有价值的信息。这项研究的MS数据已保存在iProX的登录号IPX0001924000处。

更新日期：2020-08-08

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