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. 2021 Oct 13:9:748925.
doi: 10.3389/fcell.2021.748925. eCollection 2021.

V体育平台登录 - Prognostic and Immunological Role of Key Genes of Ferroptosis in Pan-Cancer

Zhi-Zhou Shi  1 , Hao Tao  1 , Ze-Wen Fan  1 , Sheng-Jie Song  1 , Jie Bai  1
Affiliations

Prognostic and Immunological Role of Key Genes of Ferroptosis in Pan-Cancer

Zhi-Zhou Shi et al. Front Cell Dev Biol. .

"VSports app下载" Abstract

Solute carrier family 7 member 11 (SLC7A11), glutathione peroxidase 4 (GPX4), and apoptosis inducing factor mitochondria associated 2 (AIFM2) are the key regulators in ferroptosis. However, the expression patterns and prognostic roles of these genes in pan-cancer are still largely unclear. The expression patterns and prognostic roles of SLC7A11, GPX4, and AIFM2 and the relationships between the expression levels of these genes and immune infiltration levels in pan-cancer were analyzed by using TIMER, gene expression profiling interactive analysis (GEPIA), Oncomine, and Kaplan-Meier databases. Our results showed that both SLC7A11 and GPX4 were overexpressed in colorectal cancer, and SLC7A11 was overexpressed in lung cancer. High levels of SLC7A11 and AIFM2 were significantly linked with the shortened disease-free survival and overall survival (OS) in adrenocortical carcinoma (ACC), respectively. And high expression of SLC7A11, GPX4, and AIFM2 were significantly correlated with the shortened OS of acute myeloid leukemia patients. In esophageal carcinoma (ESCA), GPX4 expression was significantly associated with the infiltration of macrophage and myeloid dendritic cell, and AIFM2 expression was significantly associated with the infiltration of CD4+ T cell. Importantly, GPX4 expression was positively correlated with the expression levels of monocyte markers (CD14 and CD115) and M2 macrophage markers (VSIG4 and MS4A4A) both in ESCA and in head and neck squamous cell carcinoma (HNSC) VSports手机版. In summary, SLC7A11, GPX4, and AIFM2 are dysregulated in many types of cancers, and are candidate prognostic biomarkers for many types of cancers, and can be used to evaluate the infiltration of immune cells in tumor tissues. .

Keywords: AIFM2; GPX4; SLC7A11; ferroptosis; pan-cancer V体育安卓版. .

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VSports - Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Expression patterns of SLC7A11, GPX4, and AIFM2 in pan-cancer. The expression patterns of SLC7A11, GPX4, and AIFM2 were analyzed by using TIMER database. ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.
FIGURE 2
FIGURE 2
Expression patterns of SLC7A11, GPX4, and AIFM2 in pan-cancer. The expression patterns of SLC7A11, GPX4, and AIFM2 were analyzed by using Oncomine database. %, gene rank percentile (%).
FIGURE 3
FIGURE 3
Prognostic roles of SLC7A11, GPX4, and AIFM2 in pan-cancer. (A–C) Prognostic pattern of SLC7A11, GPX4, and AIFM2 in pan-cancer were analyzed by using GEPIA database. (D–I) The correlations between SLC7A11, GPX4, or AIFM2 and OS or DFS of ACC patients were evaluated by using GEPIA database. (J–L) The correlations between SLC7A11, GPX4, or AIFM2 and OS of LAML patients were evaluated by using GEPIA database.
FIGURE 4
FIGURE 4
Prognostic role of SLC7A11 in KIRP, LIHC, and MESO and prognostic role of GPX4 in STAD. (A–F) The correlations between SLC7A11 and OS or DFS of KIRP, LIHC, and MESO patients were evaluated by using GEPIA database. (G,H) The correlations between GPX4 and OS or DFS of STAD patients were evaluated by using GEPIA database.
FIGURE 5
FIGURE 5
Correlation analysis of SLC7A11, GPX4, or AIFM2 and infiltration levels of immune cells in ESCA and HNSC. The correlation analysis of SLC7A11, GPX4, or AIFM2 and infiltration levels of immune cells in ESCA and HNSC was performed by using TIMER database.
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