A longitudinal analysis with CA-125 to predict overall survival in patients with ovarian cancer

201421 citationsJournal Articlediamond Open Access

Authors

An Jen Chiang · Tajen University

Jiabin Chen · Acer (Taiwan)

Yu-Che Chung · National Sun Yat-sen University

Huan-Jung Huang · National Sun Yat-sen University

Wen Shiung Liou · Kaohsiung Veterans General Hospital

Chung Chang · National Sun Yat-sen University

Abstract

Longitudinal CA-125 values, measured from the diagnosis of ovarian cancer to the completion of primary chemotherapy, could be used to reliably predict OS after adjusting for the stage and residual tumor disease. This model could be potentially useful in clinical counseling of patients with ovarian cancer.

Topics & Keywords

Ovarian cancer diagnosis and treatment Intraperitoneal and Appendiceal Malignancies Endometrial and Cervical Cancer Treatments

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Journal of Gynecologic Oncology

Volume 25, Issue 1, pp. 51-51

DOI: 10.3802/jgo.2014.25.1.51

Field-Weighted Citation Impact: 2.37