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代谢组学在乳腺癌诊断中的应用：一项系统综述。

Application of metabolomics in the diagnosis of breast cancer: a systematic review.

作者信息

Yang Liqing, Wang Ying, Cai Haishan, Wang Shuang, Shen Yueping, Ke Chaofu

机构信息

Medical College of Soochow University, Suzhou 215123, P. R. China.

Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, P. R. China.

出版信息

J Cancer. 2020 Feb 10;11(9):2540-2551. doi: 10.7150/jca.37604. eCollection 2020.

DOI:10.7150/jca.37604
PMID:32201524
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7066003/
Abstract

Breast cancer (BC) remains the most frequent type of cancer in females worldwide. However, the pathogenesis of BC is still under the cloud, along with the huge challenge of early diagnosis, which is widely acknowledged as the key to a successful therapy. Metabolomics, a newborn innovative technique in recent years, has demonstrated great potential in cancer-related researches. The aim of this review is to look back on clinical and cellular metabolomic studies in the diagnosis of BC over the past decade, and provide a systematic summary of metabolic biomarkers and pathways related to BC diagnosis.

摘要

乳腺癌（BC）仍是全球女性中最常见的癌症类型。然而，BC的发病机制仍不明朗，同时早期诊断面临巨大挑战，而早期诊断被广泛认为是成功治疗的关键。代谢组学是近年来一项新兴的创新技术，已在癌症相关研究中展现出巨大潜力。本综述的目的是回顾过去十年中BC诊断方面的临床和细胞代谢组学研究，并对与BC诊断相关的代谢生物标志物和途径进行系统总结。

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