揭示结肠直肠癌前病变早期检测的蛋白质景观。

IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Yuanke Luo, Chong Xiao, Chuan Zheng, Simin Luo, Yifang Jiang, Fengming You, Xi Fu, Xueke Li
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引用次数: 0

摘要

结直肠癌(CRC)已成为全球癌症相关死亡的第二大常见原因。早期发现易发生恶性转化的癌前病变是预防结直肠癌的关键。蛋白质作为细胞功能状态的微观反映,通过其表达和功能的变化,可以深入了解癌前病变的病理改变。本文综述了不同样品条件下结直肠腺瘤的蛋白研究,包括传统腺瘤、锯齿状病变、LST、FAP和IBD。它强调了关键蛋白表达模式的变化及其从癌前到癌前状态转变的潜在机制。此外,综述了结直肠癌中特征蛋白家族的翻译后修饰及其相关信号通路的研究,同时讨论了目前研究结直肠癌中蛋白表达和功能的技术,如蛋白质组学和人工智能。然而,目前的研究局限,如样本量小,样本类型有限,机制分析不够深入,阻碍了全面的认识。未来的研究应该扩大研究群体,多样化样本类型,并利用机器学习和多组学方法来开发预测模型。通过这样做,可以更全面地了解结直肠癌癌前病变向癌性病变发展过程中的蛋白质谱,从而促进结直肠癌的早期诊断和有针对性的治疗干预措施的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unveiling the protein landscape for early detection of colorectal precancerous lesions.

Unveiling the protein landscape for early detection of colorectal precancerous lesions.

Unveiling the protein landscape for early detection of colorectal precancerous lesions.

Unveiling the protein landscape for early detection of colorectal precancerous lesions.

Colorectal cancer (CRC) has emerged as the second most prevalent cause of cancer-related mortality globally. Early identification of precancerous lesions prone to malignant transformation is pivotal in CRC prevention. Proteins, as microscopic reflections of cellular functional states, offer insights into pathological alterations within precancerous lesions through changes in their expression and function. Our review summarizes the protein research on colorectal adenomas under different sample conditions, including traditional adenomas, serrated lesions, LST, FAP and IBD. It highlights the changes in the expression patterns of key proteins and their potential mechanisms underlying the transition from precancerous to cancerous states. Additionally, it summarizes the research on post-translational modifications of characteristic protein families and associated signaling pathways, while discussing current techniques for studying protein expression and function in colorectal cancer, such as proteomics and artificial intelligence. However, current research limitations, such as small sample sizes, limited sample types, and insufficient in-depth mechanistic analysis, hinder comprehensive understanding. Future research should expand study cohorts, diversify sample types, and leverage machine learning and multi-omics approaches to develop predictive models. By doing so, a more comprehensive understanding of protein profiles during the progression from colorectal precancerous to cancerous lesions can be obtained, facilitating early CRC diagnosis and the development of targeted therapeutic interventions.

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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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