引用文本：陈钟敏, 翁诺卿, 吴晓滨. 结直肠癌病理组学研究进展与展望[J/CD]. 消化肿瘤杂志（电子版）, 2026, 18(3): 443-450.

作者：陈钟敏，翁诺卿，吴晓滨

单位：中山大学附属第八医院 胃肠外科，广东 深圳 518033

Authors：Chen Zhongmin, Weng Nuoqing, Wu Xiaobin

Unit：Department of Gastrointestinal Surgery, the Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen 518033, Guangdong, China

摘要：

结直肠癌（colorectal cancer, CRC）临床诊疗面临早期诊断困难、转移复发率高、预后评估精准性不足等痛点，传统病理人工判读存在主观性强、信息挖掘能力有限等局限。病理组学作为数字病理与人工智能融合的新兴学科，以全切片成像为基础，通过高通量、多层次挖掘肿瘤组织的微观形态特征，为CRC精准评估提供了客观量化新模式。本文系统梳理了近年病理组学在CRC组织病理与内镜诊断、微卫星不稳定性及分子特征检测、治疗反应评估、转移预测、预后评估五大领域的研究进展，总结其技术突破与临床应用价值，分析当前研究存在的争议与挑战，并展望其未来发展方向。

关键词：结直肠癌；病理组学；人工智能；全切片成像

Abstract：

Clinical diagnosis and treatment of colorectal cancer (CRC) face challenges such as difficulty in early diagnosis, high rate of metastasis and recurrence, and insufficient accuracy of prognosis evaluation. Traditional manual pathological interpretation has limitations including strong subjectivity and limited capacity for information mining. As an emerging discipline integrating digital pathology and artificial intelligence, pathomics is based on whole-slide imaging and extracts the microscopic morphological features of tumor tissue through high-throughput and multi-level methods, providing a new objective and quantitative model for accurate evaluation of CRC. This article systematically reviews the recent research progress of pathomics in five major fields of CRC, including histopathological and endoscopic diagnosis, microsatellite instability and molecular feature detection, treatment response evaluation, metastasis prediction, and prognosis evaluation, summarizes its technological breakthroughs and clinical application value, analyzes the controversies and challenges in current research, and prospects its future development direction.

Key words：Colorectal cancer; Pathomics; Artificial intelligence; Whole-slide imaging

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