Pan-cancer analysis of IRF1 focusing on prognostic and immunological roles in non-small cell lung cancer
Weiling Sun,
Kui Cao,
Siran Wang,
Mengdi Lu,
Jianqun Ma,
Chunlong Wu,
Yanbin Zhao
Affiliations
Weiling Sun
Department of Medical Oncology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China; Department of Endoscope, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China
Kui Cao
Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China
Siran Wang
Department of Preventive Dentistry, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Affiliated Stomatology Hospital of Guangzhou Medical University, 510182, Guangzhou, China
Mengdi Lu
Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China
Jianqun Ma
Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China; Corresponding author.
Chunlong Wu
Department of Endoscope, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China; Corresponding author.
Yanbin Zhao
Department of Medical Oncology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China; Corresponding author. Department of Medical Oncology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150040, China.
Interferon regulatory factor 1 (IRF1) significantly affects tumour occurrence and development. This study aimed to analyse its function as a pan-cancer prognostic indicator. We compared IRF1 expression and prognostic significance in normal and tumour samples from different databases. Accordingly, we performed in vitro experiments and immunohistochemistry (IHC) to investigate the role of IRF1 in non-small cell lung cancer (NSCLC). Our findings indicate that IRF1 expression is significantly correlated with prognosis, the tumour microenvironment, and immune cell infiltration. Furthermore, receiver operating characteristic (ROC) analysis revealed that IRF1 had high accuracy in distinguishing cancerous tissues from normal ones. Notably, IRF1 expression was linked to immune-related and immune checkpoint genes. Cell proliferation, invasion, and migration were significantly related to IRF1 expression. IHC indicated that IRF1 was downregulated in NSCLC tissues. Our study provides comprehensive bioinformatic analysis and experimental verification of IRF1, suggesting its potential as a prognostic biomarker in cancer.
