已发表论文

基于M0巨噬细胞相关基因的食管癌预后风险模型的建立

 

Authors Zuo X, Wang F , Liu G, Xie S, Deng S, Wang Y

Received 1 August 2024

Accepted for publication 12 December 2024

Published 24 December 2024 Volume 2024:17 Pages 1209—1222

DOI https://doi.org/10.2147/OTT.S483536

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Yong Teng

Xiaoping Zuo,1,2,* Fuqiang Wang,1,* Guofeng Liu,3,* Shenglong Xie,1 Senyi Deng,1 Yun Wang1 

1Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, People’s Republic of China; 2Department of Thoracic Surgery, West China Guang’an Hospital, Sichuan University, Guang’an, People’s Republic of China; 3Department of Medical Administration, West China Guang’an Hospital, Sichuan University, Guang’an, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Yun Wang, Department of Thoracic Surgery, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, People’s Republic of China, Email yunwwang@yeah.net

Background: This study investigates the prognostic value of M0 macrophage-related genes (M0MRGs) in esophageal cancer (ESCA) and identifies novel targets for immunotherapy.
Methods: Differentially expressed genes (DEGs) were screened with ESCA-related expression profile data (GSE5364 and GSE17351) from the GEO database, followed by GO and KEGG pathway enrichment analyses. Then, immune cell infiltration was examined with the CIBERSORT algorithm and multiplex fluorescence-based immunohistochemistry (MP-IHC). ESCA-related gene expression data and relevant clinical information were retrieved from TCGA. M0MRGs were identified with TCGA-ESCA based on Spearman’s correlation coefficient. Additionally, LASSO and Cox regression analyses were conducted to further construct an M0MRG-related prognostic model. ATP6V0D2 and MMP12 expression in ESCA was analyzed with tissue microarray. Finally, the half maximal inhibitory concentrations (IC50) of commonly used chemotherapeutics in TCGA-ESCA were calculated with the “oncoPredict” R package.
Conclusion: In summary, ATP6V0D2 and MMP12 were crucial components in a prognostic risk model for ESCA and were associated with poor prognoses, implicating the involvement of elevated M0 macrophages in disease progression and providing potential therapeutic targets and strategies for ESCA.

Keywords: esophageal cancer, M0 macrophage, prognostic model, ATP6V0D2, MMP12