Association of Enolase-1 with Prognosis and Immune Infiltration in Breast Cancer by Clinical Stage

Autor: Yue-Yu Shi, Xing-Lei Chen, Qian-Xin Chen, Yuan-Zhong Yang, Meng Zhou, Yue-Xiang Ren, Lu-Ying Tang, Ze-Fang Ren
Rok vydání: 2023
Předmět:
Zdroj: Journal of Inflammation Research. 16:493-503
ISSN: 1178-7031
DOI: 10.2147/jir.s396321
Popis: Yue-Yu Shi,1 Xing-Lei Chen,1 Qian-Xin Chen,1 Yuan-Zhong Yang,2 Meng Zhou,1 Yue-Xiang Ren,3 Lu-Ying Tang,3 Ze-Fang Ren1 1School of Public Health, Sun Yat-sen University, Guangzhou, People’s Republic of China; 2The Sun Yat-sen University Cancer Center, Guangzhou, People’s Republic of China; 3The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of ChinaCorrespondence: Ze-Fang Ren, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, People’s Republic of China, Tel/Fax +86-20-87332577, Email renzef@mail.sysu.edu.cn Lu-Ying Tang, The Third Affiliated Hospital, Sun Yat-sen University, 600 Tianhe Road, Guangzhou, Guangdong, People’s Republic of China, Tel +86-20-85253000, Fax +86-20-85253336, Email tangly@mail.sysu.edu.cnPurpose: Enolase-1 (ENO1) plays a key role in malignancies. Previous studies on the association between ENO1 expression and breast cancer prognosis had yielded inconsistent results. In the present study, we assessed the prognostic effect of ENO1 in breast cancer using Guangzhou Breast Cancer Study (GZBCS) cohort with full consideration of the potential confounders and the modification effects. The results were further validated in the TCGA-BRCA cohort and explained by tumor immunity.Methods: ENO1 protein expressions were evaluated by immunohistochemistry in tissue microarrays from 961 patients with primary invasive breast cancer. Chi-square tests were used to assess the association of ENO1 levels with the patient’s characteristics. Cox regression models were applied to assess the prognostic effects. The TCGA-BRCA cohort was utilized to validate the results and explore the potential mechanisms. The immune infiltration was determined using the CIBERSORT and ssGSEA algorithms; the correlation between ENO1 expression and the abundance of tumor-infiltrating immune cells (TIICs) and scores of immune-related functions was evaluated by Wilcoxon signed-rank tests and Spearman’s rank test.Results: ENO1 protein expression exerted a protective effect on OS in stage I/II patients (HR=0.58, 95% CI: 0.35– 0.96) but not in stage III patients (HR=1.42, 95% CI: 0.81– 2.49, P interaction=0.04) in GZBCS; consistent results were obtained at mRNA levels in TCGA cohort. Immune infiltration analyses revealed that ENO1 was positively correlated with multiple antitumor TIICs (including M1 macrophages, B cells, CD8 T cells, T helper 2 cells, and NK cells) only in stage I/II but not stage III patients.Conclusion: A higher expression of ENO1 was associated with a better prognosis only in early-stage breast cancer, which may be related to the different effects of ENO1 on immune infiltration, suggesting that ENO1 may be a promising target for precision immunotherapy in breast cancer.Keywords: ENO1, breast cancer, prognosis, tissue microarray, tumor-infiltrating immune cells
Databáze: OpenAIRE