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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2020
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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. |
format | Online Article Text |
id | pubmed-7066003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
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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