Luo Yuanke, Xiao Chong, Zheng Chuan, Luo Simin, Jiang Yifang, You Fengming, Fu Xi, Li Xueke
TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Oncology Teaching and Research Department, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Clin Proteomics. 2025 Aug 21;22(1):27. doi: 10.1186/s12014-025-09552-6.
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.
结直肠癌(CRC)已成为全球癌症相关死亡的第二大常见原因。早期识别易于发生恶性转化的癌前病变对于CRC预防至关重要。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为癌前病变的病理改变提供见解。我们的综述总结了在不同样本条件下对大肠腺瘤的蛋白质研究,包括传统腺瘤、锯齿状病变、侧向发育型肿瘤、家族性腺瘤性息肉病和炎症性肠病。它突出了关键蛋白质表达模式的变化及其从癌前状态转变为癌状态的潜在机制。此外,它总结了对特征性蛋白质家族的翻译后修饰和相关信号通路的研究,同时讨论了当前研究结直肠癌中蛋白质表达和功能的技术,如蛋白质组学和人工智能。然而,当前的研究局限性,如样本量小、样本类型有限以及深入的机制分析不足,阻碍了全面理解。未来的研究应扩大研究队列,使样本类型多样化,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,可以更全面地了解从结直肠癌前病变进展到癌性病变过程中的蛋白质谱,促进早期CRC诊断和靶向治疗干预的发展。