多组学与人工智能在预测和诊断结直肠癌肝转移中的应用

doi:10.3969/j.issn.1006-5725.2025.07.021

Abstract

Abstract:

Colorectal cancer stands as a leading cause of cancer?related morbidity and mortality globally， with liver metastases being a significant determinant of patient prognosis. Conventional diagnostic methods， including imaging studies and biomarker testing， frequently exhibit inadequate sensitivity and specificity， underscoring the necessity for more advanced technologies. Recent advancements in genomics， transcriptomics， proteomics， metabolomics， and epigenomics have revolutionized our understanding of the biological mechanisms driving colorectal cancer. These methodologies enable comprehensive analyses of genetic mutations， gene expression profiles， protein modifications， and metabolic reprogramming， all of which are pivotal to the metastatic process. This article highlights the advanced capabilities of artificial intelligence （AI） technologies in processing complex multi?omics data， thereby enhancing diagnostic accuracy and supporting personalized treatment strategies. It also addresses the challenges AI encounters in multi?omics analyses， such as ensuring data quality， improving model interpretability， and facilitating clinical translation. Additionally， it explores the potential integration of emerging technologies like single?cell sequencing and spatial omics into large?scale， multicenter studies to further enhance the clinical utility of these tools.

Key words: colorectal cancer with liver metastasis, artificial intelligence, genomics, transcriptomics, proteomics

CLC Number:

Likun WANG,Qi HAO,Weihan JIN,Shizheng DONG,Xueliang WU,Xiaofeng HU,Liang WU,Jing XUN,Hongqing MA. Application of multi⁃omics and artificial intelligence in the prediction and diagnosis of liver metastases in colorectal cancer[J]. The Journal of Practical Medicine, 2025, 41(7): 1070-1078.

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References 46

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Application of multi⁃omics and artificial intelligence in the prediction and diagnosis of liver metastases in colorectal cancer

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