Breast Cancer: Targets and Therapy (Mar 2024)
GNPNAT1 is a Biomarker That Predicts a Poor Prognosis of Breast Cancer
Abstract
Yuying Zhou,1,* Wu Xue,2,* Xinyu Meng,2,* Adheesh Bhandari,2,3,* Hanqian Zeng,4 Rajan KC,5 Suzita Hirachan,6 Erjie Xia2 1Department of Oncology and Hematology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, People’s Republic of China; 2Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China; 3Department of Surgery, Breast and Thyroid Unit, Primera Hospital, Kathmandu, Nepal; 4Department of Surgical Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang Province, People’s Republic of China; 5Central Department of Zoology, Tribhuvan University, Kirtipur, Kathmandu, Nepal; 6Department of General Surgery, Breast and Thyroid Unit, Tribhuvan University, Teaching Hospital, Kathmandu, Nepal*These authors contributed equally to this workCorrespondence: Erjie Xia, Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China, Tel +86 577 5557 8527, Email [email protected] Yuying Zhou, Department of Oncology and Hematology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, Zhejiang, People’s Republic of China, Tel +8615757194239, Email [email protected]: 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.Materials and Methods: The data on gene expression and clinicopathological characteristics were downloaded from The Cancer Genome Atlas (TCGA). The expression of GNPNAT1 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 GNPNAT1 and overall survival (OS).Results: We found higher expression of GNPNAT1 was connected with poor survival in breast cancer by COX regulation analysis. GO, KEGG, and GSEA analysis prompted that GNPNAT1 was connected with the defense mechanism of cells, cell proliferation, and division. Immunization infiltration analysis showed that high GNPNAT1 was negatively connected with 16 immunization infiltration cell types and positively connected with four immunization infiltration cell types.Conclusion: As a whole, our results indicated that GNPNAT1 might be a probable biomarker for diagnosis and prognosis in breast cancer.Keywords: GNPNAT1, biomarker, breast cancer, diagnosis, prognosis
