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. 2021 May;11(5):e419.
doi: 10.1002/ctm2.419.

A serum metabolomics analysis reveals a panel of screening metabolic biomarkers for esophageal squamous cell carcinoma

Jiali Lv  1   2 , Jialin Wang  3 , Xiaotao Shen  4 , Jia Liu  5 , Deli Zhao  6 , Mengke Wei  1   2 , Xia Li  1   2 , Bingbing Fan  1   2 , Yawen Sun  3 , Fuzhong Xue  1   2 , Zheng-Jiang Zhu  4 , Tao Zhang  1   2
Affiliations

A serum metabolomics analysis reveals a panel of screening metabolic biomarkers for esophageal squamous cell carcinoma

Jiali Lv et al. Clin Transl Med. 2021 May.
No abstract available

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

FIGURE 1
FIGURE 1
Metabolic profile analysis and early ESCC screening model. (A) Study design; (B) PCA score plot discriminating ESCC screening‐positive subjects and healthy controls; (C) PLS‐DA three‐dimensional scores plot discriminating ESCC screening‐positive subjects and healthy controls; (D) validation plot obtained from 200 permutation tests; (E) ROC curve for random forest model combing 14 metabolites; (F) decision curves for 14 metabolites to predict ESCC screening‐positive subjects; and (G) calibration curves for 14 metabolites to predict ESCC screening‐positive subjects
FIGURE 2
FIGURE 2
ESCC screening model composed with 8 metabolites. (A) The typical UPLC‐QTOF/MS chromatograms; (B) heatmap plot of 14 metabolites confirmed using standard references in the validation data; (C) heatmap plot of 56 metabolites interpreted according to their MS/MS spectra in the validation data; (D) best subset selection for metabolites interpreted according to their MS/MS spectra; (E) ROC analysis of random forest model for eight metabolites; (F) decision curves for eight metabolites to predict ESCC screening‐positive subjects; and (G) calibration curves for eight metabolites to predict ESCC screening‐positive subjects
FIGURE 3
FIGURE 3
Enriched KEGG pathways analysis. (A) Boxplot of 22 differential metabolites; (B) metabolite sets enrichment overview; (C) network enrichment analysis; and (D) metabolic pathways associated with ESCC
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