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Breast Cancer Metabolomics: From Analytical Platforms to Multivariate Data Analysis. A Review

机译:乳腺癌代谢组学:从分析平台到多元数据分析。回顾

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摘要

Cancer is a major health issue worldwide for many years and has been increasing significantly. Among the different types of cancer, breast cancer (BC) remains the leading cause of cancer-related deaths in women being a disease caused by a combination of genetic and environmental factors. Nowadays, the available diagnostic tools have aided in the early detection of BC leading to the improvement of survival rates. However, better detection tools for diagnosis and disease monitoring are still required. In this sense, metabolomic NMR, LC-MS and GC-MS-based approaches have gained attention in this field constituting powerful tools for the identification of potential biomarkers in a variety of clinical fields. In this review we will present the current analytical platforms and their applications to identify metabolites with potential for BC biomarkers based on the main advantages and advances in metabolomics research. Additionally, chemometric methods used in metabolomics will be highlighted.
机译:多年来,癌症是全球主要的健康问题,并且一直在急剧增加。在不同类型的癌症中,乳腺癌(BC)仍然是妇女与癌症相关的死亡的主要原因,这是遗传和环境因素共同导致的疾病。如今,可用的诊断工具有助于早期发现BC,从而提高了生存率。但是,仍然需要用于诊断和疾病监测的更好的检测工具。从这个意义上说,基于代谢组学NMR,LC-MS和GC-MS的方法已在该领域引起关注,构成了用于在各种临床领域中识别潜在生物标记物的有力工具。在本综述中,我们将基于代谢组学研究的主要优势和进展,介绍当前的分析平台及其在鉴定具有BC生物标志物潜力的代谢物方面的应用。此外,代谢组学中使用的化学计量学方法将被重点介绍。

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