Omic analysis of the protein profile in digestive tumours, from proteomics to clinical practice

Cirugia espanola Pub Date : 2026-09-01 Epub Date: 2026-02-12 DOI:10.1016/j.cireng.2026.800303
Florina I. Bura, Rafaela Pezzopane, Melissa Granados, Lidia Rodríguez-Ortiz, Blanca Rufián-Andújar, Ana Martínez-López, María del Carmen Vázquez-Borrego, Antonio Romero-Ruiz, Alvaro Arjona-Sánchez
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Abstract

Proteomics has emerged as a key tool in precision medicine, enabling in-depth molecular characterization of digestive tumours. This article outlines a standardised workflow, encompassing sample collection, protein extraction, and unbiased proteomic analysis using high-resolution liquid chromatography coupled with mass spectrometry. These approaches allow for the identification of biomarkers for early diagnosis, prognosis, and the development of targeted therapies. The review also highlights the value of single-cell proteomics to dissect tumour heterogeneity and discusses the use of in vitro and in vivo models to validate therapeutic targets. Additionally, it explores the potential of intraoperative molecular indicators to improve surgical outcomes. Altogether, the integration of proteomics with bioinformatics and artificial intelligence offers new opportunities to translate molecular discoveries into clinical practice, ultimately improving the management and quality of life of patients with digestive tumours.
从蛋白质组学到临床实践的消化肿瘤蛋白质谱的组学分析。
蛋白质组学已经成为精准医学的关键工具,能够对消化道肿瘤进行深入的分子表征。本文概述了一个标准化的工作流程,包括样品收集,蛋白质提取,以及使用高分辨率液相色谱与质谱相结合的无偏蛋白质组学分析。这些方法可以识别用于早期诊断、预后和开发靶向治疗的生物标志物。该综述还强调了单细胞蛋白质组学在解剖肿瘤异质性方面的价值,并讨论了体外和体内模型的使用来验证治疗靶点。此外,它还探讨了术中分子指标改善手术结果的潜力。总之,蛋白质组学与生物信息学和人工智能的结合为将分子发现转化为临床实践提供了新的机会,最终改善了消化系统肿瘤患者的管理和生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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