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Updated: Feb 6, 2026

Heterotypic Three-dimensional In Vitro Modeling of Stromal-Epithelial Interactions During Ovarian Cancer Initiation and Progression
Published on: August 28, 2012
Age-related differences in prognosis and prognostic factors among patients with epithelial ovarian cancer
Kenji Yoshikawa1, Takeshi Fukuda1, Ryo Uemura1
1Department of Obstetrics and Gynecology, Osaka City University Graduate School of Medicine, Osaka, Osaka 545-8585, Japan.
Abstract:
Approximately 40% of all patients with ovarian cancer in Japan are aged ≥65 years. The aim of the present study was to evaluate the differences in prognosis and prognostic factors between elderly and younger patients with epithelial ovarian cancer. A total of 114 patients with International Federation of Gynecology and Obstetrics (FIGO) stage I-IV ovarian cancer who were initiated on primary treatment at the Osaka City University Hospital (Osaka, Japan) were included in this study. Patient characteristics, treatment outcome and prognosis were compared between elderly (aged ≥65 years) and younger patients, and the prognostic factors associated with overall survival were evaluated by univariate and multivariate analyses. The most common histological type in younger patients was clear cell carcinoma (33.8%) vs. serous carcinoma in elderly patients (44.1%), with a significant difference in the distribution of histological type (P=0.006). Complete resection was achieved in 56.2% of younger patients compared with 32.4% of elderly patients (P=0.03). The rates of standard primary treatment were comparable (56.7% of younger vs. 50.0% of elderly patients). Overall and disease-free survival did not differ significantly between the two groups. Multivariate analyses identified FIGO stage and standard primary therapy as prognostic factors in younger patients and performance status in elderly patients. Age was not an independent significant prognostic factor among patients with ovarian cancer. Therefore, performance status, rather than age, should be considered when selecting the optimal treatment for elderly patients based on objective assessment.
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