揭示中医药预防结直肠癌癌症复发的用药模式：从潜在的组合到成分和靶点的验证
Unveiling medication patterns in traditional Chinese medicine for the prevention of colorectal cancer recurrence: from potential combinations to validation of components and targets.
摘要(中文译文)
结直肠癌（CRC）是一种常见的恶性肿瘤，发病率和死亡率均较高，复发是导致患者死亡的主要原因。中医学运用整体认知方法制定中药治疗策略，在延缓肿瘤进展和改善患者生活质量方面显示出显著疗效。然而，由于临床医生辨证思路和经验知识的差异，中药处方策略存在分歧，导致对复方配伍规律缺乏系统性认识。本研究旨在通过循证支持和临床应用的处方，筛选出对预防或治疗结直肠癌复发有效的中药方剂。通过采用Apriori关联规则挖掘和图卷积网络分析，识别出与抗复发处方相关的核心药物谱，并聚焦于一个高置信度的药物组合以进行进一步的机制探索。随后的网络药理学分析揭示槲皮素和山奈酚为代表性活性化合物，PTGS2被确定为潜在的关键靶点。分子对接、分子动力学模拟、公共数据库分析和体外实验提供了初步证据，支持它们在结直肠癌细胞中的相互作用和生物学效应。总体而言，本研究揭示了预防结直肠癌复发的中药处方配伍特征，为继续运用中医药策略管理结直肠癌复发提供了科学依据。
Abstract
Colorectal cancer (CRC) is a prevalent malignant tumor with high incidence and mortality rates, with recurrence being the primary cause of death among patients. Traditional Chinese Medicine (TCM) utilizes a holistic cognitive approach to develop herbal treatment strategies, displaying significant efficacy in slowing tumor progression and improving patients' quality of life. However, discrepancies in herbal prescription strategies arise from variations in clinicians' syndrome differentiation and experiential knowledge, leading to a lack of systematic understanding of compound prescription compatibility rules. This study aims to identify TCM prescriptions that are effective in preventing or treating CRC recurrence through evidence-supported and clinically applied prescriptions. By employing Apriori association rule mining and graph convolutional network analysis, a core herb spectrum associated with anti-recurrence prescriptions was identified, emphasizing a high-confidence herbal combination for further mechanistic exploration. Subsequent network pharmacology analysis revealed quercetin and kaempferol as representative active compounds with PTGS2 identified as a potential key target. Molecular docking, molecular dynamics simulation, public database analysis, and in vitro experiments provided initial evidence supporting their interaction and biological effects in CRC cells. Overall, this study reveals the compatibility characteristics of TCM prescriptions for preventing CRC recurrence and offers a scientific foundation for the continued use of TCM-based strategies in managing CRC recurrence.
如何引用
AMA
Qianqian Bu, Shaoxun Yuan, Xiaoman Wei, Junyi Wang, Liu Li, Pan Chen, et al. Unveiling medication patterns in traditional Chinese medicine for the prevention of colorectal cancer recurrence: from potential combinations to validation of components and targets.. Chinese medicine. 2026; doi:10.1186/s13020-026-01438-5.
APA
Qianqian Bu, Shaoxun Yuan, Xiaoman Wei, Junyi Wang, Liu Li, Pan Chen, et al (2026). Unveiling medication patterns in traditional Chinese medicine for the prevention of colorectal cancer recurrence: from potential combinations to validation of components and targets.. Chinese medicine. https://doi.org/10.1186/s13020-026-01438-5
GB/T 7714
Qianqian Bu, Shaoxun Yuan, Xiaoman Wei, Junyi Wang, Liu Li, Pan Chen, et al. Unveiling medication patterns in traditional Chinese medicine for the prevention of colorectal cancer recurrence: from potential combinations to validation of components and targets.[J]. Chinese medicine, 2026 doi:10.1186/s13020-026-01438-5.
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