Journal of Capital Medical University ›› 2023, Vol. 44 ›› Issue (2): 248-257.doi: 10.3969/j.issn.1006-7795.2023.02.011

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Expression and mechanism of apoptosis-inducing factor 2 gene in breast cancer

Yang Yifan1, Wang Yamei2*   

  1. 1.2020 the Five-year Clinical Medicine, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China; 2.Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
  • Received:2022-07-12 Online:2023-04-21 Published:2023-04-18
  • Supported by:
    This study was supported by Scientific Research Program of Beijing Municipal Commission of Education (KM201710025005), the Second Classroom Project of Capital Medical University (D2KT2022016)

Abstract: Objective To analyze the expression and mechanism of apoptosis-inducing factor 2 (AIFM2) in breast cancer tissue using bioinformatics methods. Methods The research information of AIFM2 in GEPIA, Kaplan-Meier Plotter, and UALCAN databases were searched, and the expression of this gene in breast cancer was analyzed. The Kaplan-Meier method was used to analyze the relationship between AIFM2 expression and breast cancer patients' survival and clinicopathological factors. Additionally, the LinkedOmic database was used to screen genes co-expressed with AIFM2, and the target genes were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and the tumor immune estimate resource (TIMER) database was used to explore the correlation between AIFM2 expression and infiltration of immune cells into tumor tissues. Results GEPIA database analysis showed that the expression of AIFM2 in breast cancer was significantly lower than that in normal adjacent tissue (P<0.05). Metastasis-free survival was substantially higher in all patients than in the low-expression group (P<0.05); UALCAN database analysis showed that the expression levels of AIFM2 in breast cancer were different in different races, molecular types, and tissue types (P<0.05). There was no difference in expression levels among age, sex, stage, TP53 mutation, menopausal status and lymph node metastasis (P>0.05). GO and KEGG enrichment analysis of AIFM2 co-expressed genes in the LinkedOmic database revealed that the expression level of AIFM2 in breast cancer was positively correlated with the infiltration of CD4T cells, neutrophils, and dendritic cells (P<0.05). Low levels of infiltrating CD4T cells, CD8T cells, neutrophils, and dendritic cells in breast cancer were significantly associated with poorer survival (P<0.05). ConclusionThe expression of AIFM2 in breast cancer is related to the infiltration of immune cells into tumor tissues. Hence, AIFM2 can be considered a biomarker of the immune cell infiltration, metastasis, and prognosis in breast cancer.

Key words: breast cancer, ferroptosis, apoptosis-inducing factor 2 (AIFM2), immune infiltration, bioinformatics

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