GNPNAT1 is a Biomarker That Predicts a Poor Prognosis of Breast Cancer

Breast cancer (BC) is increasingly becoming the primary reason for death in women, which sounded the alarm. Thus, finding a novel management target for BC is imminent. The data on gene expression and clinicopathological characteristics were downloaded from The Cancer Genome Atlas (TCGA). The expression of in 40 paired breast cancer and adjacent tissues was measured by quantitative real-time polymerase chain reaction (qRT-PCR). Univariate and Multivariate logistic regression methodology was applied to analyze the prognostic factors for lymph node metastasis (LNM). Based on the status of breast cancer-relative receptors, patients were distributed into six groups, and then the Kaplan-Meier survival analysis with a Log rank test was applied to investigate the involvement among the expression of and overall survival (OS). We found higher expression of was connected with poor survival in breast cancer by COX regulation analysis. GO, KEGG, and GSEA analysis prompted that was connected with the defense mechanism of cells, cell proliferation, and division. Immunization infiltration analysis showed that high was negatively connected with 16 immunization infiltration cell types and positively connected with four immunization infiltration cell types. As a whole, our results indicated that might be a probable biomarker for diagnosis and prognosis in breast cancer.