何向明,杨红健.基于代谢组学预测乳腺癌新辅助化疗疗效及预后的研究进展[J].肿瘤学杂志,2022,28(5):345-348. |
基于代谢组学预测乳腺癌新辅助化疗疗效及预后的研究进展 |
Research Progress on Metabonomics in Predicting Efficacy and Prognosis of Neoadjuvant Chemotherapy for Breast Cancer |
投稿时间:2021-12-19 |
DOI:10.11735/j.issn.1671-170X.2022.05.B001 |
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中文关键词: 乳腺癌 新辅助化疗 代谢组学 化疗疗效 预后 |
英文关键词:breast cancer neoadjuvant chemotherapy metabolomics chemotherapy efficacy prognosis |
基金项目:浙江省医药卫生科技计划项目(2020KY489,2022KY632 ) |
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中文摘要: |
摘 要:乳腺癌是一种异质性疾病,表现为新辅助化疗(neoadjuvant chemotherapy,NAC)疗效差异大、预后差异大。代谢组学可以对体内外肿瘤细胞受刺激或扰动后的内源性小分子代谢物进行动态、全面和定量的检测。现有的研究表明,通过对肿瘤、体液等多种标本的代谢组学检测,可以对乳腺癌进行代谢分型,可以预测治疗效果,可以预测疾病预后。虽然其存在一定的局限性,但代谢组学仍为一种新的研究肿瘤的良好手段。全文就代谢组学应用于预测乳腺癌NAC疗效及预后的研究进展进行综述。 |
英文摘要: |
Abstract: Breast cancer is a heterogeneous disease, manifested by large differences in the efficacy and prognosis of neoadjuvant chemotherapy(NAC). Metabolomics enables dynamic, comprehensive and quantitative detection of all endogenous small molecule metabolites in tumor cells after stimulation or perturbation in vitro and in vivo. Existing studies have shown that by metabolomic detection of various specimens such as tumors and body fluids, breast cancer can be metabolized, the treatment effect can be predicted, and the prognosis of the disease can be predicted. Although it has some limitations, metabolomics is still a good method for new tumor research. This article reviews the research progress of metabolomics in predicting the efficacy and prognosis of NAC in breast cancer. |
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