Sarcopenia as a Predictor of Prognosis in Early Stage Ovarian Cancer

• DOI: 10.3346/jkms.2021.36.e2
• Publication Date: 2020-12-01T05:28:55Z
• Authors: Su Hyun Chae; Chulmin Lee; Sang-Hee Yoon; Seung-Hyuk Shim; Sun Joo Lee; Soo-Nyung Kim; Sochung Chung; Ji Young Lee
• Keywords: Adult; Aged, 80 and over; Ovarian Neoplasms; Sarcopenia; Adolescent; Kaplan-Meier Estimate; Middle Aged; Prognosis; 3. Good health; Young Adult; 03 medical and health sciences; 0302 clinical medicine; Humans; Original Article; Female; Muscle, Skeletal; Tomography, X-Ray Computed; Aged; Neoplasm Staging; Proportional Hazards Models; Retrospective Studies

To identify sarcopenia as a predictive prognostic factor of ovarian cancer in terms of survival outcome in patients with early-stage ovarian cancer.Data of Konkuk University Medical Center from March 2002 to December 2017 were reviewed retrospectively. Eighty-two patients who underwent surgery due to early-stage (International Federation of Gynecology and Obstetrics stage I/II) ovarian cancer and had computed tomography (CT) images taken at the initial diagnosis were included. The initial CT scan images were analyzed with SliceOmatic software (TomoVision). A sarcopenia cutoff value was defined as a skeletal muscle index of ≤ 38.7 cm²/m². Overall survival (OS) times were compared according to the existence of sarcopenia, and subgroup analyses were performed.A Kaplan-Meier analysis showed a significant survival disadvantage for patients with early-stage ovarian cancer when they had sarcopenia (P < 0.001; log-rank test). Sarcopenia remained a significant prognostic factor for OS in early-stage ovarian cancer, in a Cox proportional hazards model regression analysis (HR, 21.9; 95% CI, 2.0-199.9; P = 0.006).This study demonstrated that sarcopenia was predictive of OS in patients with early-stage ovarian cancer. Further prospective studies with a larger number of patients are warranted to determine the extent to which sarcopenia can be used as a prognostic factor in ovarian cancer.