论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
代谢组学:一个有前景的乳腺癌诊断和治疗工具
Authors Chen Z, Li Z, Li H, Jiang Y
Received 14 May 2019
Accepted for publication 22 July 2019
Published 21 August 2019 Volume 2019:12 Pages 6797—6811
DOI https://doi.org/10.2147/OTT.S215628
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Ms Rachel Predeepa
Peer reviewer comments 2
Editor who approved publication: Dr William Cho
Abstract: Breast cancer (BC) is the most commonly diagnosed cancer among women and the leading cause of cancer death. Despite the advent of numerous diagnosis and treatment methods in recent years, this heterogeneous disease still presents great challenges in early diagnosis, curative treatments and prognosis monitoring. Thus, finding promising early diagnostic biomarkers and therapeutic targets and approaches is meaningful. Metabolomics, which focuses on the analysis of metabolites that change during metabolism, can reveal even a subtle abnormal change in an individual. In recent decades, the exploration of cancer-related metabolomics has increased. Metabolites can be promising biomarkers for the screening, response evaluation and prognosis of BC. In this review, we summarized the workflow of metabolomics, described metabolite signatures based on molecular subtype as well as reclassification and then discussed the application of metabolomics in the early diagnosis, monitoring and prognosis of BC to offer new insights for clinicians in breast cancer diagnosis and treatment.
Keywords: diagnosis, biomarkers, treatment, metabolites
