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

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...

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Detalles Bibliográficos
Autores principales: Yang, Liqing, Wang, Ying, Cai, Haishan, Wang, Shuang, Shen, Yueping, Ke, Chaofu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066003/
https://www.ncbi.nlm.nih.gov/pubmed/32201524
http://dx.doi.org/10.7150/jca.37604
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author Yang, Liqing
Wang, Ying
Cai, Haishan
Wang, Shuang
Shen, Yueping
Ke, Chaofu
author_facet Yang, Liqing
Wang, Ying
Cai, Haishan
Wang, Shuang
Shen, Yueping
Ke, Chaofu
author_sort Yang, Liqing
collection PubMed
description 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.
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spelling pubmed-70660032020-03-20 Application of metabolomics in the diagnosis of breast cancer: a systematic review Yang, Liqing Wang, Ying Cai, Haishan Wang, Shuang Shen, Yueping Ke, Chaofu J Cancer Review 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. Ivyspring International Publisher 2020-02-10 /pmc/articles/PMC7066003/ /pubmed/32201524 http://dx.doi.org/10.7150/jca.37604 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Review
Yang, Liqing
Wang, Ying
Cai, Haishan
Wang, Shuang
Shen, Yueping
Ke, Chaofu
Application of metabolomics in the diagnosis of breast cancer: a systematic review
title Application of metabolomics in the diagnosis of breast cancer: a systematic review
title_full Application of metabolomics in the diagnosis of breast cancer: a systematic review
title_fullStr Application of metabolomics in the diagnosis of breast cancer: a systematic review
title_full_unstemmed Application of metabolomics in the diagnosis of breast cancer: a systematic review
title_short Application of metabolomics in the diagnosis of breast cancer: a systematic review
title_sort application of metabolomics in the diagnosis of breast cancer: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066003/
https://www.ncbi.nlm.nih.gov/pubmed/32201524
http://dx.doi.org/10.7150/jca.37604
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