SNX20 Expression Correlates with Immune Cell Infiltration and Can Predict Prognosis in Lung Adenocarcinoma

Bibliographic Details
Title: SNX20 Expression Correlates with Immune Cell Infiltration and Can Predict Prognosis in Lung Adenocarcinoma
Authors: Wu GJ, Ren K, He M, Xu JX, Li ZQ, Bo D, Xue Q
Source: International Journal of General Medicine, Vol Volume 14, Pp 7599-7611 (2021)
Publisher Information: Dove Medical Press, 2021.
Publication Year: 2021
Collection: LCC:Medicine (General)
Subject Terms: snx20, biomarkers, lung adenocarcinoma, prognosis, immune infiltration, Medicine (General), R5-920
More Details: Gu Jie Wu,1,2,* Kuan Ren,1,2,* Min He,1,2 Jian Xun Xu,1,2 Zhen Qing Li,1,2 Ding Bo,1,2 Qun Xue3 1Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of China; 2Medical College of Nantong University, Nantong, 226001, Jiangsu, People’s Republic of China; 3Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu Province, People’s Republic of China*These authors contributed equally to this workCorrespondence: Qun XueDepartment of Thoracic Surgery, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu Province, People’s Republic of ChinaEmail ntfyxuequn@163.comBackground: Sorting nexin-20 (SNX20) is a member of the sorting nexin family of proteins. It plays a crucial role in the regulation of innate immunity. However, the prognostic risk, potential mechanisms, immunotherapy, and other functions of SNX20 in lung adenocarcinoma (LUAD) remain unclear.Methods: We analyzed and validated the expression and prognostic role of SNX20 in LUAD through a combination of The Cancer Genome Atlas, Gene Expression Omnibus, Oncomine, TIMER, and Human Protein Atlas databases. Further, we analyzed the correlation between SNX20 expression and clinical characteristics of LUAD, and the prognostic value of SNX20 in LUAD was evaluated. Using fitted SNX20 expression and other clinical parameters, a predictive model with predictive performance for the overall survival of patients with LUAD was constructed. The potential biological function of SNX20 in LUAD was explored using gene set enrichment analysis. In addition, we analyzed the correlation between SNX20 expression and the immune microenvironment and survival.Results: SNX20 was downregulated in most cancer types, was associated with poor prognosis in LUAD and could be an independent prognostic factor for patients with LUAD. The predictive model developed by us had good predictive power for determining the overall survival of patients with LUAD. Biofunctional analysis revealed that genes co-expressed with SNX20 mainly promoted the immune process and inhibited the cell proliferation process in LUAD. We observed that high expression of SNX20 was accompanied by a better immune microenvironment and survival in patients with LUAD. Furthermore, the LUAD immune response was elevated with an increase in SNX20 expression. Finally, we found that SNX20 expression was significantly associated with various tumor-infiltrating immune cells, and it was widely involved in regulating various immune molecules in LUAD and affecting immune infiltration in the tumor microenvironment.Conclusion: Our results suggested that SNX20 is a potential immune-related biomarker and therapeutic target associated with the prognosis of patients with LUAD. This provided a new strategy for the development of immunotherapeutic and prognostic markers in LUAD.Keywords: SNX20, biomarkers, lung adenocarcinoma, prognosis, immune infiltration
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1178-7074
Relation: https://www.dovepress.com/snx20-expression-correlates-with-immune-cell-infiltration-and-can-pred-peer-reviewed-fulltext-article-IJGM; https://doaj.org/toc/1178-7074
Access URL: https://doaj.org/article/1fa8583b3e144797a435fc51007bec40
Accession Number: edsdoj.1fa8583b3e144797a435fc51007bec40
Database: Directory of Open Access Journals
More Details
ISSN:11787074
Published in:International Journal of General Medicine
Language:English