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. 2020 Oct 20;10:581197. doi: 10.3389/fonc.2020.581197

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Copyright © 2020 Shen, Yan, Wu, Liu, Guan, Zou, Guo, Zhu, Liu, Chen, Chen, Cheng, Cheng and Wu.

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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Overview of reactive oxygen species (ROS) metabolism across different cancer types. (A) Sample composition in this study (cancer types = 22, n = 9,440). Sample number varied from 45 in CHOL to 1,222 in BRCA. (B) Univariate cox results of each ROS metabolism-related gene set score in different cancer types. All ROS metabolic processes show prognostic values at least in one cancer type; 15 cancer types were determined at least by one ROS process; 13 processes exerted divergent prognostic roles in different cancer types. red = risk factor, blue = protective factor; *p < 0.05, **p < 0.01, ***p < 0.001; hazard ratio (HR) lesser than 1 is transformed into (-1) * 1/HR. (C) Interactions between ROS-metabolism-related gene signatures and other related signatures: red = biosynthetic related signatures, blue = metabolic-related signatures, yellow = response-related signatures. (D) Computational comparison and experimental comparison of ROS metabolism between U87 and LN229. U87 showed a higher ROS accumulation, a stronger ROS scavenging ability, a stronger ROS generating ability, and a severer ROS stress condition compared to LN229. ****p < 0.0001. (E) Overview of ROS-metabolism-related indexes: index I, ROS accumulation; index II, oxidative stress; index III, ROS scavenging ability; index IV, ROS biosynthetic ability; and index V, subcellular ROS origins.