Title: The analysis of OIP5-AS1 as a biomarker in non-small cell lung cancer specifically in lung adenocarcinoma and lung squamous cell carcinoma

Authors: Tianze Zhang; Rui Xu; Guangquan Xu; Qiushi Wang

Addresses: Department of Thoracic Surgery, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150081, China ' National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China ' Department of Thoracic Surgery, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150081, China ' Department of Thoracic Surgery, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150081, China

Abstract: Lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are two common subtypes of non-small cell lung cancer (NSCLC). This study investigates the potential of OIP5-AS1 as a biomarker in relation to these two NSCLC subtypes. By analysing OIP5-AS1 expression levels, its diagnostic and prognostic value, and associated clinical outcomes using the UCSC database, we observed differential expression patterns of OIP5-AS1 with upregulated in LUSC and downregulated in LUAD. OIP5-AS1 shows a positive correlation with tumour purity in both subtypes. Furthermore, it exhibits a negative correlation with tumour mutational burden (TMB) in LUSC and tumour heterogeneity in LUAD. Notably, OIP5-AS1 serves as a significant predictor for clinical stage IV in LUAD. In vitro experiments were conducted by transfecting an OIP5-AS1 overexpression plasmid into A549 cells, revealing that increased OIP5-AS1 expression significantly enhances the migratory capacity of these cancer cells. These findings highlight the significance of OIP5-AS1 as a promising biomarker and provide insights into its potential application in improving diagnosis and guiding personalised treatment strategies in LUAD and LUSC within the broader context of NSCLC management.

Keywords: OIP5-AS1; lung adenocarcinoma; lung squamous cell carcinoma; biomarker; migration.

DOI: 10.1504/IJDMB.2026.154717

International Journal of Data Mining and Bioinformatics, 2026 Vol.30 No.3/4, pp.361 - 378

Received: 19 Sep 2024
Accepted: 02 Sep 2025
Published online: 10 Jul 2026 *

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