This phase II trial studies how well radiation therapy, paclitaxel, and carboplatin work in treating patients with high-risk endometrial cancer. Radiation therapy uses high energy x rays to kill tumor cells. Drugs used in chemotherapy, such as paclitaxel and carboplatin, work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing or by stopping them from spreading. Giving radiation therapy with chemotherapy may kill more tumor cells.
PRIMARY OBJECTIVES: I. To evaluate progression-free survival. II. To assess and document location of disease recurrence (distant vs local vs both) using this treatment regimen. II. To evaluate the toxicity of radiation therapy "sandwiched" between cycles of paclitaxel/carboplatin chemotherapy in patients with high-risk endometrial cancer. III. To evaluate the associations of cancer recurrence with tumor tissue expression levels of insulin-like growth factor-I (IGF-I), IGF-II, insulin-like growth factor binding protein 1 (IGFBP-1) and -3, insulin receptor, IGF-I receptor, estrogen receptor, and progesterone receptor. OUTLINE: CHEMOTHERAPY (weeks 1-9, 13-21): Patients receive paclitaxel intravenously (IV) over 3 hours and carboplatin IV over 30 minutes on day 1. Treatment repeats every 21 days for 3 courses during weeks 1-9 and 3 courses during weeks 13-21. RADIATION THERAPY (weeks 8-13 or 8-15): Patients with stage I disease undergo high dose rate (HDR) brachytherapy once weekly for a total of 5 fractions during weeks 8-13. All other patients undergo external beam radiation therapy (EBRT) once daily (QD) 5 days a week for a total of 25 fractions during weeks 8-12 and HDR brachytherapy once weekly for a total of 3 fractions during weeks 13-15. After completion of study treatment, patients are followed up every 3 months for 2 years and then every 6 months for 3 years.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
31
Given IV
Given IV
Undergo HDR brachytherapy
Undergo EBRT
Correlative studies
Albert Einstein College of Medicine
The Bronx, New York, United States
Progression-free Survival (PFS)
PFS will be analyzed using standard survival analytic methods, including the Kaplan-Meier approach for estimating the survival distribution. Median time to progression and 95% confidence intervals will be estimated from the Kaplan-Meier curves.
Time frame: From randomization until documented tumor recurrence or death from any cause, assessed up to 5 years
Expression Levels of IGF-1
Associations of PFS with tumor tissue expression levels of IGF-1 will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
Expression Levels of IGF-2
Associations of PFS with tumor tissue expression levels of IGF-2 will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
Expression Levels of IGFBP-1
Associations of PFS with tumor tissue expression levels of IGFBP-1 will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
Expression Levels of IGFBP-3
Associations of PFS with tumor tissue expression levels of IGFBP-3 will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
Expression Levels of Insulin Receptor
Associations of PFS with tumor tissue expression levels of insulin receptor will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
Expression Levels of IGF-1 Receptor
Associations of PFS with tumor tissue expression levels of IGF-1 receptor will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
Expression Levels of Estrogen Receptor
Associations of PFS with tumor tissue expression levels of estrogen receptor will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
Expression Levels of Progesterone Receptor
Associations of PFS with tumor tissue expression levels of progesterone receptor will be evaluated. Provided the number of events is sufficient, Cox proportional hazards models will be fit to the data to explore these associations.
Time frame: Up to 5 years
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