Objective: To determine the relationship between pre-operative HE4 and CA125 levels in non-mucinous epithelial ovarian cancer cases (EOC) and outcomes of primary surgery for prediction of optimal surgery.
Methods: A retrospective study was performed on non-mucinous EOC who underwent primary surgery at King Chulalongkorn Memorial Hospital from 2016 to 2020. Demographic and clinical characters were collected. Histopathology and pre-operative tumor markers namely HE4 and CA125 were also recruited. Primary surgical outcomes were classified as optimal (OS) and suboptimal surgery (SS).
Results: One hundred and seventy patients were enrolled in the study. There were 130 and 40 cases in OS and SS, respectively. Average age and body mass index (BMI) of EOC were 54.2 years old and 23.1 Kg/m2, respectively. Both groups had comparable demographic characteristics. Two-thirds (103/170) and one-third (63/170) had early stage and clear cell histopathology, respectively. The median level of HE4 were 118.60 and 603.45 pmol/L in OS and SS, respectively. OS and SS had average CA125 at 146.95 and 814.70 U/L, respectively. The best cut-off point of HE4 and CA125 less than 170.95 pmol/L and 316.4 U/mL gave predicting OS with area under curve (AUC) at 0.78 and 0.75, respectively. HE4 and CA125 cut-off point had sensitivity, specificity, positive predict value (PPV) and negative predictive value (NPV) at percentage of 60.8/60.8, 87.5/82.5, 94.1/91.9 and 40.7/39.3, respectively.
Conclusion: HE4 and CA125 of non-mucinous EOC among OS had significantly less than SS and could be the predicting of optimal surgery.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10911736 | PMC |
http://dx.doi.org/10.31557/APJCP.2024.25.1.281 | DOI Listing |
Gynecol Oncol
January 2025
Department of Gynecologic Oncology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China; Chongqing Specialized Medical Research Center of Ovarian Cancer, Chongqing, China; Organoid Transformational Research Center, Chongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Chongqing University Cancer Hospital, Chongqing, China. Electronic address:
Background: Early detection is crucial for improving survival of patients with ovarian cancer (OC), yet current diagnostic tools lack adequate sensitivity and specificity, especially for early stage disease. The study aimed to validate the serum small extracellular vesicles (sEV) protein based Ovarian Cancer Score (OCS) in detecting OC.
Methods: This multicenter study included 1183 adult females with adnexal masses from four hospitals in China (October 2019-April 2023).
Cancers (Basel)
November 2024
Department of Population Medicine and Lifestyle Diseases Prevention, The Faculty of Medicine, Medical University of Białystok, 15-269 Białystok, Poland.
Background: Ovarian carcinoma (OC) has an unfavorable prognosis due to lack of screening and an asymptomatic course. New diagnostic methods are being sought to enable earlier diagnosis of this condition. The purpose of this study was to determine the diagnostic utility of collagenases (MMP-1, MMP-8 and MMP-13) in the diagnosis of OC compared to HE4 and CA125 and the ROMA.
View Article and Find Full Text PDFMol Biol Rep
December 2024
Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo, Egypt.
Objective: This study aimed to analyse the diagnostic performance of miR200b in epithelial ovarian cancer (EOC) in a group of Egyptian patients and to evaluate the combined use of miR200b with other biomarkers as a reliable diagnostic and prognostic indicator of EOC.
Methods: We tested the expression of cell-free miR200b in 30 EOC patients before undergoing optimum cytoreductive surgery, 19 females with benign ovarian disease and 14 normal healthy females using quantitative real time PCR. All cases were tested for CA125, HE4 and CRP.
J Gynecol Obstet Hum Reprod
November 2024
School of Pharmacy, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Objective: Ovarian cancer remains a leading cause of cancer-related deaths in women. Early detection improves prognosis, but current diagnostic tools still need improvement. We aimed to identify high-risk patient profiles for ovarian cancer using cluster analysis of age and tumor marker data.
View Article and Find Full Text PDFCancers (Basel)
November 2024
Unit of Gynecology and Obstetrics, Department of Women and Children's Health, University of Padua, 35122 Padua, Italy.
Objective: We aimed to compare the clinical utility and diagnostic accuracy of the ADNEX model, ROMA score, RMI I, and RMI IV, as well as two serum markers (CA125 and HE4) in preoperative discrimination between benign and malignant adnexal masses (AMs).
Methods: We conducted a retrospective study extracting all consecutive patients with AMs seen at our Institution between January 2015 and December 2020. Accuracy metrics included sensitivity (SE), specificity (SP), and area under the receiver operating characteristic curve (AUC), and their 95% confidence intervals (CI) were calculated for basic discrimination between AMs.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!