TY - JOUR
T1 - Factors associated with an increased risk of recurrence in women with ovarian granulosa cell tumors
AU - Suri, Anuj
AU - Carter, Ebony B.
AU - Horowitz, Neil
AU - Denslow, Sheri
AU - Gehrig, Paola A.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013/11
Y1 - 2013/11
N2 - Introduction Studies demonstrate that patient factors such as race, body composition, medical co-morbidities, and medications may be associated with cancer related outcomes independent of the patient's malignancy and related therapies for the cancer. The goal of this study is to determine demographic and prognostic factors affecting disease recurrence in women with early stage ovarian granulosa cell tumors (GCT). Materials and Methods This study used a dual-institution retrospective analysis of women diagnosed with GCT between 1995 and 2010. Demographics including age, race, body mass index (BMI), stage, diabetes (DM), adjuvant treatment, and progression-free survival (PFS) were extracted. Hazard ratios for recurrence were estimated by univariate and multivariate Cox regression models. Results One hundred and four women were identified with a median age of 50 years (range 12-87 years). Fifty-five (58.5%) were Caucasian, 29 (30.9%) African American, and 10 (10.2%) others. Median BMI was 29 kg/m2 (range 12-57 kg/m2). Twenty-one patients had DM. The majority of women had clinical stage I disease (95.0%), 5 (6.4%) had stage II/III disease, and 5 were unstaged. In univariate analysis among early stage disease, DM showed the strongest association with recurrence (HR = 3.37, 95% CI = 1.38-8.20). In multivariate analysis, DM was associated with an HR of 3.19 for recurrence (95% CI = 1.08-9.44). Conclusions Our results emphasize that diabetes is one of the strongest predictors of recurrent disease in patients with ovarian GCTs. As this disease is characterized by long disease-free intervals prior to recurrence, this may serve as a potential chemopreventive strategy in patients felt to be at higher risk for recurrence.
AB - Introduction Studies demonstrate that patient factors such as race, body composition, medical co-morbidities, and medications may be associated with cancer related outcomes independent of the patient's malignancy and related therapies for the cancer. The goal of this study is to determine demographic and prognostic factors affecting disease recurrence in women with early stage ovarian granulosa cell tumors (GCT). Materials and Methods This study used a dual-institution retrospective analysis of women diagnosed with GCT between 1995 and 2010. Demographics including age, race, body mass index (BMI), stage, diabetes (DM), adjuvant treatment, and progression-free survival (PFS) were extracted. Hazard ratios for recurrence were estimated by univariate and multivariate Cox regression models. Results One hundred and four women were identified with a median age of 50 years (range 12-87 years). Fifty-five (58.5%) were Caucasian, 29 (30.9%) African American, and 10 (10.2%) others. Median BMI was 29 kg/m2 (range 12-57 kg/m2). Twenty-one patients had DM. The majority of women had clinical stage I disease (95.0%), 5 (6.4%) had stage II/III disease, and 5 were unstaged. In univariate analysis among early stage disease, DM showed the strongest association with recurrence (HR = 3.37, 95% CI = 1.38-8.20). In multivariate analysis, DM was associated with an HR of 3.19 for recurrence (95% CI = 1.08-9.44). Conclusions Our results emphasize that diabetes is one of the strongest predictors of recurrent disease in patients with ovarian GCTs. As this disease is characterized by long disease-free intervals prior to recurrence, this may serve as a potential chemopreventive strategy in patients felt to be at higher risk for recurrence.
KW - Diabetes
KW - Granulosa cell tumor
KW - Obesity
KW - Ovary
UR - http://www.scopus.com/inward/record.url?scp=84886094345&partnerID=8YFLogxK
U2 - 10.1016/j.ygyno.2013.08.013
DO - 10.1016/j.ygyno.2013.08.013
M3 - Article
C2 - 23994106
AN - SCOPUS:84886094345
SN - 0090-8258
VL - 131
SP - 321
EP - 324
JO - Gynecologic Oncology
JF - Gynecologic Oncology
IS - 2
ER -