Value of the risk of ovarian malignancy algorithm index in predicting the recurrence of epithelial ovarian cancer

• Published in: Biomarkers in medicine Vol. 16; no. 14; pp. 1055 - 1066
• Main Authors: Li, Ruyue, Ma, Shaohan, Zu, Yizheng, Wang, Fang, Gao, Tingting, Yang, Yu'e, Guo, Hua, Ha, Chunfang
• Format: Journal Article
• Language: English
• Published: England Future Medicine Ltd 01.10.2022
• Subjects: Algorithms; Biomarkers, Tumor; CA-125 Antigen; CA125; Carcinoma, Ovarian Epithelial - diagnosis; epithelial ovarian cancer; Female; FIGO; HE4; Humans; Ovarian Neoplasms - diagnosis; Ovarian Neoplasms - pathology; Proteins; recurrence; ROMA index; WAP Four-Disulfide Core Domain Protein 2; recurrence; CA125; ROMA index; FIGO; epithelial ovarian cancer; HE4
• ISSN: 1752-0363; 1752-0371
• DOI: 10.2217/bmm-2022-0287

This study aimed to assess the predictive and diagnostic value of the risk of ovarian malignancy algorithm (ROMA) index for epithelial ovarian cancer (EOC) recurrence. The clinical features and follow-up data of 159 EOC cases were studied. The ROMA index was calculated by serum CA125 and HE4 levels with menopausal status. Recurrence-free survival was evaluated for an end point. The ROMA was strongly associated with clinical characteristics. The ROMA index above the cutoff value (34.71%) was significantly associated with recurrence-free survival. The ROMA index had a significantly higher sensitivity (90.59%) than CA125 (84.71%) and HE4 (80.80%) for recurrence diagnosis, and its optimal cutoff value was 17.07%. The primary ROMA index is a predictive factor in EOC recurrence and has better performance in the diagnosis of EOC recurrence.