Identification of glycogene-based molecular classification and correlations between the expression levels of 12-glycogene signature and molecular features in GC patients (IMAGE)
Caption
(A) Unsupervised clustering of 186 glycogenes in the TCGA-STAD cohort (n = 412) separated GC patients into two clusters (A and B) and four subclusters (A1, A2, B1, and B2). The annotations by the Lauren classification (Intestinal, Diffuse, Mixed, and NA; n = 274), the TCGA (Nature 2014) classification (EBV, CIN, MSI, and GS; n = 274), and patients' age were respectively indicated for the same GC patient. The 138 new GC cases without Lauren or TCGA classification information were defined as “new case” (in yellow). The black arrowhead indicates GXYLT2. (B, C) Kaplan–Meier plots for overall survival
(B) and disease-free survival (C) in GC patients at stages I-III from the TCGA-STAD dataset, comparing that in subcluster B2 with the other three subclusters (A1, A2, and B1).
(D) Clustering based on 12-glycogene signature in GC patients from the TCGA-STAD cohort (n = 412). Two clusters (I and II) were compared with the Lauren classification, the TCGA (Nature 2014) classification, and patients' age.
(E) Kaplan–Meier plot for overall survival in GC patients from the TCGA-STAD dataset, stratified by 12-glycogene signature classification as cluster I and cluster II.
(F) Pearson correlation coefficients (r) for the correlations between the expression levels of the 12 glycogenes and molecular features, including G-DIF, G-INT, EMT-up, and EMT-down, across seven independent cohorts (n = 1547 total). The heatmap was composed of color-coded blocks: red, r > 0.25, p < 0.05; blue, r < −0.25, p < 0.05; white, |r| ≤ 0.25, p < 0.05; gray, p ≥ 0.05. p values were calculated with the χ2 test (A and D). GC, gastric cancer; TCGA-STAD, TCGA (stomach cancer); G-INT, genomic intestinal; G-DIF, genomic diffuse; EMT, epithelial–mesenchymal transition. EBV, Epstein–Barr virus; MSI, microsatellite instability; CIN, chromosomal instability; GS, genetically stable; EMT-up, up-regulated EMT; EMT-down, down-regulated EMT; GXYLT2, glucoside xylosyltransferase 2.
Credit
Jiale Yang, Jiajun Wu, Ziqiang Chen, Xiangyun Hou, Xiaojing Li, Zhaorui Liu, Kai Yin, Tao Pang, Ruimin Huang, Jun Yan
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CC BY-NC-ND