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Altered expression of the L-arginine/nitric oxide pathway in ovarian cancer: metabolic biomarkers and biological implications. BMC cancer Chen, L., Tang, Q., Zhang, K., Huang, Q., Ding, Y., Jin, B., Liu, S., Hwa, K., Chou, C. J., Zhang, Y., Thyparambil, S., Liao, W., Han, Z., Mortensen, R., Schilling, J., Li, Z., Heaton, R., Tian, L., Cohen, H. J., Sylvester, K. G., Arent, R. C., Zhao, X., McElhinney, D. B., Wu, Y., Bai, W., Ling, X. B. 2023; 23 (1): 844

Abstract

Ovarian cancer (OC) is a highly lethal gynecological malignancy. Extensive research has shown that OC cells undergo significant metabolic alterations during tumorigenesis. In this study, we aim to leverage these metabolic changes as potential biomarkers for assessing ovarian cancer.A functional module-based approach was utilized to identify key gene expression pathways that distinguish different stages of ovarian cancer (OC) within a tissue biopsy cohort. This cohort consisted of control samples (n?=?79), stage I/II samples (n?=?280), and stage III/IV samples (n?=?1016). To further explore these altered molecular pathways, minimal spanning tree (MST) analysis was applied, leading to the formulation of metabolic biomarker hypotheses for OC liquid biopsy. To validate, a multiple reaction monitoring (MRM) based quantitative LCMS/MS method was developed. This method allowed for the precise quantification of targeted metabolite biomarkers using an OC blood cohort comprising control samples (n?=?464), benign samples (n?=?3), and OC samples (n?=?13).Eleven functional modules were identified as significant differentiators (false discovery rate, FDR?

View details for DOI 10.1186/s12885-023-11192-8

View details for PubMedID 37684587

View details for PubMedCentralID 8192829