Systemic analysis of the DNA replication regulator origin recognition complex in lung adenocarcinomas identifies prognostic and expression significance

Autor: Min Tang, Juan Chen, Tian Zeng, Dong‐mei Ye, Yu‐kun Li, Juan Zou, Yu‐ping Zhang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Cancer Medicine, Vol 12, Iss 4, Pp 5035-5054 (2023)
Druh dokumentu: article
ISSN: 2045-7634
DOI: 10.1002/cam4.5238
Popis: Abstract Background DNA replication alteration is a hallmark of patients with lung adenocarcinoma (LUAD) and is frequently observed in LUAD progression. Origin recognition complex (ORC) 1, ORC2, ORC3, ORC4, ORC5, and ORC6 form a replication–initiator complex to mediate DNA replication, which plays a key role in carcinogenesis, while their roles in LUAD remain poorly understood. Methods The mRNA and protein expression of ORCs was confirmed by the GEPIA, HPA, CPTAC, and TCGA databases. The protein–protein interaction network was analyzed by the GeneMANIA database. Functional enrichment was confirmed by the Metascape database. The effects of ORCs on immune infiltration were validated by the TIMER database. The prognostic significance of ORCs in LUAD was confirmed by the KM‐plot and GENT2 databases. DNA alteration and protein structure were determined in the cBioProtal and PDB databases. Moreover, the protein expression and prognostic value of ORCs were confirmed in our LUAD data sets by immunohistochemistry (IHC) staining. Results ORC mRNA and protein were significantly increased in patients with LUAD compared with corresponding normal tissue samples. The results of IHC staining analysis were similar result to those of the above bioinformatics analysis. Furthermore, ORC1 and ORC6 had significant prognostic values for LUAD patients. Furthermore, the ORC cooperatively promoted LUAD development by driving DNA replication, cellular senescence, and metabolic processes. Conclusion The ORC, especially ORC1/6, has important prognostic and expression significance for LUAD patients.
Databáze: Directory of Open Access Journals
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