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. 2021 Sep 26;11(9):e538. doi: 10.1002/ctm2.538

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© 2021 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Integrative analysis of molecular signatures of ESCC using proteomic and metabolomic data. (A) Integrative analysis of significantly altered metabolic enzymes and metabolites for the most perturbed metabolic pathway in ESCC, arginine and proline metabolism. (B) Spearman correlation analysis between DEMs and DEPs representing key cellular phenotypes of ESCC. Metabolites with significant correlation to at least one phenotypic protein marker are selected for display. Star marks in heatmap cells represent correlations between metabolites and proteins with p < .05