Targeted metabolomic profiling of low and high grade serous epithelial ovarian cancer tissues: a pilot study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism
Link
http://link.springer.com/article/10.1007/s11306-018-1448-3/fulltext.html
Reference70 articles.
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2. Anastasi, E., Granato, T., Falzarano, R., Storelli, P., Ticino, A., Frati, L., et al. (2013). The use of HE4, CA125 and CA72-4 biomarkers for differential diagnosis between ovarian endometrioma and epithelial ovarian cancer. Journal of Ovarian Research, 6(1), 44–44. https://doi.org/10.1186/1757-2215-6-44 .
3. Andrisic, L., Dudzik, D., Barbas, C., Milkovic, L., Grune, T., & Zarkovic, N. (2018). Short overview on metabolomics approach to study pathophysiology of oxidative stress in cancer. Redox Biology, 14, 47–58. https://doi.org/10.1016/j.redox.2017.08.009 .
4. Atrih, A., Mudaliar, M. A. V., Zakikhani, P., Lamont, D. J., Huang, J. T. J., Bray, S. E., et al. (2014). Quantitative proteomics in resected renal cancer tissue for biomarker discovery and profiling. British Journal of Cancer, 110(6), 1622–1633. https://doi.org/10.1038/bjc.2014.24 .
5. Bast, R. C., Hennessy, B., & Mills, G. B. (2009). The biology of ovarian cancer: New opportunities for translation. Nature Reviews Cancer, 9(6), 415–428.
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