Expression and Clinical Significance of Origin Recognition Complex Subunit 6 in Breast Cancer - A Comprehensive Bioinformatics Analysis.

OBJECTIVE

We aimed to investigate the expression, diagnostic and prognostic values, and potential molecular mechanisms of the origin recognition complex (ORC) in breast cancer (BC).

METHODS

Kaplan-Meier estimation was used to assess the prognostic value of genes, and Oncomine, TCGA, GEO and ULCAN databases were used to analyze their expression in BC. Wilcoxon rank-sum tests were used to evaluate the relationship between gene expression levels and BC clinicopathological features. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of genes in BC. Survival analysis was performed using Kaplan-Meier estimation and Cox regression. A nomogram was constructed to predict 1-, 3-, and 5-year survival probabilities in BC. Gene set enrichment analysis (GSEA) and immune infiltration were used to investigate potential molecular mechanisms of the ORC.

RESULTS

and were highly expressed in BC compared with healthy tissue, while expression patterns were inconsistent; no significant differences in or expression were observed between BC and healthy tissues. and expression levels were significantly correlated with age, tumor (T) stage and molecular subtype; expression was significantly correlated with age and number of nearby lymph nodes with cancer (N stage). expression had the highest diagnostic value in BC and was an independent prognostic factor for poor overall survival (OS). ORC6L may be involved in cell cycle progression and may regulate cancer signaling pathways, including NF-κB, P53, and WNT, in BC. expression was also associated with immune infiltration.

CONCLUSION

and are highly expressed in BC; has a high diagnostic value and is an independent prognostic factor for poor OS. ORC6L may be involved in the initiation and progression of BC by regulating cell cycle progression, promoting cancer signaling pathway activation, and influencing tumor immune cell infiltration.