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pmid:33676448
APE1 may influence CD4+ naïve T cells on recurrence free survival in early stage NSCLC.
Yanping Li · Xiaolong Zhao · He Xiao · Bo Yang · Jie Liu · Wen Rao · Xiaoyan Dai · Mengxia Li · Nan Dai · Yuxin Yang · Dong Wang
BMC cancer · 2021 doi:10.1186/s12885-021-07950-1
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Experiment
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Complete file
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However, it remains unclear whether APE1 is involved in the process of TILs affecting the prognosis of patients. To this end, we investigated the associations between APE1 and TILs in non-small cell lung cancer (NSCLC) and explored whether APE1 would influence the associations of CD4+ T cells infiltration with the prognosis of patients.\nMETHODS: Genome-wide expression datasets were obtained from the Gene Expression Omnibus (GEO) public database under accession number GSE68465, GSE30219, GSE31210 and GSE50081. MCPcounter and CIBERSORT analysis was conducted to evaluate the abundance of TILs in 1006 NSCLC patients of GEO database. Spearman correlation tests were used to evaluate correlations between abundance of various TILs and APE1 expression. RFS (recurrence free survival) was estimated using the Kaplan-Meier method and the Cox proportional-hazards model. The expression level of APE1 and tumor-infiltrating CD4+ T cells was evaluated by immunohistochemistry (IHC).\nRESULTS: The results showed that the abundance of CD4+ naïve T cells was negatively associated with the APE1 expression. CD4+ naïve T cells infiltration was a favorable prognostic factor for RFS, however, there was no effect of CD4+ T cells infiltration on RFS in patients with high APE1 expression. Subsequently, it was further confirmed that CD4+ T cells infiltration was negatively associated with the APE1 expression level in 108 NSCLC tissue samples; high CD4+ T cells infiltration was associated with longer RFS in low APE1 expression group but not in APE1 high expression group.\nCONCLUSION: These results suggested that APE1 may affect the relationship between CD4+ T cells infiltration and prognosis in NSCLC. This study provides new insights into predictors of outcome in patients with NSCLC, and suggests that combining immunotherapy and APE1-targeted therapy may be a promising treatment for NSCLC.", "claims": [{"id": "claim-method", "statement": "Spearman correlation tests were used to evaluate correlations between abundance of various TILs and APE1 expression.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33676448", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Spearman correlation tests were used to evaluate correlations between abundance of various TILs and APE1 expression."}], "state": "complete"}, {"id": "claim-data-access", "statement": "For GEO database, the data can be obtained from the Gene Expression Omnibus (GEO) public database under accession number GSE68465, GSE30219, GSE31210 and GSE50081. 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