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. 2020 Apr 15;10:426. doi: 10.3389/fonc.2020.00426

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Copyright © 2020 Yang, Jing, Wang, Ding, Zhang, Chen, Zhang, Hu and Ni.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The nine amino acids identified by quantitative analysis can significantly distinguish tumors from normal tissues in the targeted group. (A) Scores plot accurately distinguishes tumor and normal by PLS-DA analysis in the targeted group. (B) Scores plot distinguishes tumor and normal by PCA analysis in the targeted group. (C) Comparison of tumor and normal using normalized intensities of nine significance metabolites in the targeted group. The mean value of nine metabolites in each group was obtained, and then Z-score transformation generates heat map.