Lymph node metastasis status stands as a pivotal prognostic indicator in forecasting the outlook for breast cancer patients. Consequently, precise evaluation of this status holds paramount importance in the staging, treatment, and prognosis of breast cancer. The utilization of radiomics, genomics, proteomics, transcriptomics, and histopathology methodologies has notably enhanced the precision of lymph node metastasis status prediction in breast cancer. This review provides an overview of recent advancements in omics-based lymph node metastasis prediction for breast cancer, elucidating the significance of various omics prediction models and integrated multi-omics models in this predictive endeavor. The overarching goal is to augment the accuracy of preoperative lymph node metastasis status prediction in breast cancer, thereby aiding clinicians in the selection of efficacious personalized treatment strategies, while concurrently averting undertreatment of patients with a heightened risk of metastasis.
淋巴结转移状态是预测乳腺癌患者预后的重要因素，因此准确评估淋巴结转移状态对乳腺癌分期、治疗和患者预后十分关键。影像组学、基因组学、蛋白组学、转录组学和病理组学方法的应用提高了乳腺癌淋巴结转移状态预测的准确性。作者综述了近年来关于乳腺癌淋巴结转移的组学预测研究进展，讨论了不同组学预测模型及多组学联合预测模型在乳腺癌淋巴结转移预测中的价值，旨在提高乳腺癌术前淋巴结转移状态的预测准确性，以辅助临床医师选择有效的个体化治疗策略，同时避免隐匿性高危患者治疗不足的情况。.