Integrating a small extracellular vesicle protein–based ovarian cancer score with O-RADS Ultrasound to improve preoperative risk stratification of adnexal masses.

Q Qunxian Rao (Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China) N Na Di (Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China) Y Yiru He (Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China) L Lingling Chen J Jingjie Shen S Shan Zhang R Ruolan Xie (Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China) Y Yunhan Jiang (Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China) Y Yaoxu Chen (School of Medicine South China University of Technology Guangzhou Guangdong P. R. China) D Dadong Zhang Z Zhongqiu Lin (Sun Yat‐sen Memorial Hospital Sun Yat‐sen University Guangzhou China)

Abstract

5555 Background: Accurate preoperative differentiation of adnexal masses remains a major clinical challenge. Although the Ovarian-Adnexal Reporting and Data System (O-RADS) standardizes ultrasound-based risk assessment, approximately 30-35% of adnexal masses are classified as indeterminate (O-RADS 3/4), often resulting in diagnostic uncertainty, unnecessary surgery, or delayed referral to gynecologic oncologists. Conventional serum biomarkers such as CA125 are limited by poor specificity and biological heterogeneity. The small Extracellular vesicle (sEV)-associated biomarkers have emerged as a promising approach to improve diagnostic accuracy by more closely reflecting tumor-related molecular signals. This study evaluated whether a serum sEV-based Ovarian Cancer Score (OCS) provides independent and incremental diagnostic value when integrated with O-RADS ultrasound. Methods: This retrospective diagnostic study included 250 consecutive patients with adnexal masses treated at Sun Yat-sen Memorial Hospital. All patients underwent standardized transvaginal ultrasound with O-RADS classification and serum CA125 testing. OCS was assessed using a chemiluminescent immunoassay based on serum sEV-derived CA125, HE4, and C5a. Final histopathology served as the reference standard. Diagnostic performance was evaluated overall and stratified by O-RADS category. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of malignancy. Results: Overall, OCS demonstrated significantly higher diagnostic accuracy for malignancy than serum CA125 alone. In masses with clearly benign or malignant imaging features (O-RADS 2 and 5), OCS maintained an accuracy of approximately 90% (87.5% and 94.6%). Within the clinically challenging O-RADS 3/4 subgroup (n = 115), OCS achieved a diagnostic accuracy of 86.1%, substantially outperforming serum CA125 (69.6%). Multivariate analysis identified OCS positivity as the strongest independent predictor of malignancy (OR 106.08, 95% CI 15.37-732.15, p < 0.001), exceeding individual high-risk ultrasound features such as ascites or mixed cystic-solid components. Diagnostic performance was further enhanced when OCS was combined with selected ultrasound characteristics. Conclusions: A serum sEV-based OCS provides robust and independent diagnostic information that complements O-RADS ultrasound in the preoperative evaluation of adnexal masses. By addressing the diagnostic gray zone of O-RADS 3/4, this integrated approach extends beyond conventional serum biomarkers and may support improved risk stratification and triage decisions. Clinical trial information: NCT06366997 .

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 5555-5555
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (11)

Q

Qunxian Rao

Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China

N

Na Di

Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China

Y

Yiru He

Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China

L

Lingling Chen

J

Jingjie Shen

S

Shan Zhang

R

Ruolan Xie

Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China

Y

Yunhan Jiang

Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China

Y

Yaoxu Chen

School of Medicine South China University of Technology Guangzhou Guangdong P. R. China

D

Dadong Zhang

Z

Zhongqiu Lin

Sun Yat‐sen Memorial Hospital Sun Yat‐sen University Guangzhou China