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. 2021 Feb 4;11:621623. doi: 10.3389/fimmu.2020.621623

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Copyright © 2021 Yan, Chen, Yang, Li, Che, Xiao, Liu and Qu

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 predictive value of IS for GC patients with surgery. (A) Heatmaps summarizing the distribution of IS and clinical pathological characteristics in the training cohort; (B, C) Kaplan-Meier analysis for the DFS and OS of GC patients in the GSE62254 dataset; (D, E) Kaplan-Meier analysis for the DFS and OS of GC patients in the GSE26253 dataset; (F) The IS measured by time-dependent ROC curves in the testing cohort. The area under the ROC curve was defined as AUC; (G) Distribution of 28 immune cells transformed using ssGSEA in high-IS and low-IS groups. ADJC, adjuvant chemotherapy; Intraabd_LN intraabdominal lymph nodes; DFS, disease free survival; OS, overall survival; GC, gastric cancer; ssGSEA single-sample gene set enrichment analysis; IS, immunoscore; ROC, receiver-operating characteristic. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.