1. Medical College of Soochow University, Suzhou 215123, P. R. China. 2. Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, P. R. China.
Yang L, Wang Y, Cai H, Wang S, Shen Y, Ke C. Application of metabolomics in the diagnosis of breast cancer: a systematic review. J Cancer 2020; 11(9):2540-2551. doi:10.7150/jca.37604. https://www.jcancer.org/v11p2540.htm
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.
Keywords: Breast Cancer, Metabolomics, Diagnosis
Citation styles
APA
Yang, L., Wang, Y., Cai, H., Wang, S., Shen, Y., Ke, C. (2020). Application of metabolomics in the diagnosis of breast cancer: a systematic review. Journal of Cancer, 11(9), 2540-2551. https://doi.org/10.7150/jca.37604.
ACS
Yang, L.; Wang, Y.; Cai, H.; Wang, S.; Shen, Y.; Ke, C. Application of metabolomics in the diagnosis of breast cancer: a systematic review. J. Cancer 2020, 11 (9), 2540-2551. DOI: 10.7150/jca.37604.
NLM
Yang L, Wang Y, Cai H, Wang S, Shen Y, Ke C. Application of metabolomics in the diagnosis of breast cancer: a systematic review. J Cancer 2020; 11(9):2540-2551. doi:10.7150/jca.37604. https://www.jcancer.org/v11p2540.htm
CSE
Yang L, Wang Y, Cai H, Wang S, Shen Y, Ke C. 2020. Application of metabolomics in the diagnosis of breast cancer: a systematic review. J Cancer. 11(9):2540-2551.
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