Suppr超能文献

用于发现胃癌生物标志物以实现精准临床肿瘤学的尿液蛋白质组学。

Urinary Proteomics for Discovery of Gastric Cancer Biomarkers to Enable Precision Clinical Oncology.

机构信息

Institute of Bioinformatics, International Technology Park, Bangalore, India.

Manipal Academy of Higher Education (MAHE), Manipal, India.

出版信息

OMICS. 2023 Aug;27(8):361-371. doi: 10.1089/omi.2023.0077. Epub 2023 Aug 9.

Abstract

For precision in clinical oncology practice, detection of tumor-derived peptides and proteins in urine offers an attractive and noninvasive alternative for diagnostic or screening purposes. In this study, we report comparative quantitative proteomic profiling of urine samples from patients with gastric cancer and healthy controls using tandem mass tags-based multiplexed mass spectrometry approach. We identified 1504 proteins, of which 246 were differentially expressed in gastric cancer cases. Notably, ephrin A1 (EFNA1), pepsinogen A3 (PGA3), sortilin 1 (SORT1), and vitronectin (VTN) were among the upregulated proteins, which are known to play crucial roles in the progression of gastric cancer. We also found other overexpressed proteins, including shisa family member 5 (SHISA5), mucin like 1 (MUCL1), and leukocyte cell derived chemotaxin 2 (LECT2), which had not previously been linked to gastric cancer. Using a novel approach for targeted proteomics, SureQuant, we validated changes in abundance of a subset of proteins discovered in this study. We confirmed the overexpression of vitronectin and sortilin 1 in an independent set of urine samples. Altogether, this study provides molecular candidates for biomarker development in gastric cancer, and the findings also support the promise of urinary proteomics for noninvasive diagnostics and personalized/precision medicine in the oncology clinic.

摘要

为了在临床肿瘤学实践中实现精准性,检测尿液中的肿瘤衍生肽和蛋白质为诊断或筛查目的提供了一种有吸引力的非侵入性替代方法。在这项研究中,我们报告了使用串联质量标签多重质谱方法对胃癌患者和健康对照者的尿液样本进行比较定量蛋白质组学分析。我们鉴定了 1504 种蛋白质,其中 246 种在胃癌病例中差异表达。值得注意的是,表皮生长因子受体 A1(EFNA1)、胃蛋白酶原 A3(PGA3)、分选连接蛋白 1(SORT1)和纤连蛋白(VTN)等是上调蛋白中的一部分,它们在胃癌的进展中起着关键作用。我们还发现了其他过表达的蛋白质,包括 Shisa 家族成员 5(SHISA5)、粘蛋白样 1(MUCL1)和白细胞细胞衍生趋化因子 2(LECT2),这些蛋白质以前与胃癌没有联系。我们使用一种新的靶向蛋白质组学方法 SureQuant 验证了本研究中发现的部分蛋白质丰度变化。我们在另一组独立的尿液样本中证实了纤连蛋白和分选连接蛋白 1 的过表达。总的来说,这项研究为胃癌的生物标志物开发提供了分子候选物,研究结果还支持尿液蛋白质组学在肿瘤学临床中的非侵入性诊断和个性化/精准医学的应用前景。

相似文献

6
SILAC-based quantitative proteomic analysis of gastric cancer secretome.基于 SILAC 的胃癌分泌组定量蛋白质组学分析。
Proteomics Clin Appl. 2013 Jun;7(5-6):355-66. doi: 10.1002/prca.201200069. Epub 2013 May 21.

引用本文的文献

本文引用的文献

6
An Introduction to Advanced Targeted Acquisition Methods.高级靶向采集方法导论。
Mol Cell Proteomics. 2021;20:100165. doi: 10.1016/j.mcpro.2021.100165. Epub 2021 Oct 18.
7
Biomarkers in Bladder Cancer Surveillance.膀胱癌监测中的生物标志物
Front Surg. 2021 Sep 28;8:735868. doi: 10.3389/fsurg.2021.735868. eCollection 2021.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验