Carboplatin dosing in obese women with ovarian cancer: A Gynecologic Oncology Group study

Comparison of carboplatin doses according to several formulae in a cohort of patients treated for an ovarian cancer in real life

IntroductionCarboplatin doses are calculated using several formulae, with the most recent being the Calvert formula with Glomerular Filtration Rate estimated using the CKD Epi cystatin C (Calvert CKD-Epi Cys) equation. The aim of this study was to compare the carboplatin doses estimated by this formula with the most commonly used formulas.Materials and methodsThe carboplatin doses prescribed for 84 patients with ovarian cancer were calculated according to Chatelut, Calvert with Glomerular Filtration Rate estimated using Cockcroft and Gault (Calvert CG), CKD-Epi (Calvert CKD-Epi) equation, modified Thomas and Calvert CKD-Epi Cys formulas. First, these 4 formulas were compared with the Calvert CKD-Epi Cys formula using a Wilcoxon test for pairwise comparison, and by assessing mean predictive error (MPE), mean absolute percentage error (MAPE), and absolute percentage error over 20% (P20). A subgroup analysis was then performed to determine the clinical and biological parameters responsible for the observed differences.ResultsThomas modified formulas showed low bias (MPE = 1.5%) and good precision (MAPE = 4.5%). Chatelut and Calvert CG were less precise with P20 values of32.1% and 13.5% respectively. Differences were mostly due to body weight, age and plasma cystatin C levels. The Calvert CKD-Epi formula showed good precision (MAPE = 8.1%) and low bias (MPE = 2.4%) except when plasma cystatin C levels were equal or above normal range (MPE = 14.9%).ConclusionAs proposed by White-Koning et al., we have chosen Calvert CKD-Epi Cys formula as a reference for carboplatin dosage calculations in our hospital. However, the limited doses differences with the Calvert CKD-Epi formula make it another reliable option in clinical practice.

Impact of obesity on survival outcomes of women with advanced epithelial ovarian cancer in Lagos, Nigeria: a retrospective cohort study

Background

Epithelial ovarian cancer (EOC) is a major contributor to cancer-related illness and death among women worldwide. Obesity, a prevalent condition in many populations, has been implicated as a risk factor for various malignancies including EOC.

Objectives

This study investigated the impact of obesity on survival outcomes among women with advanced EOC in Lagos, Nigeria.

Methods

We conducted a retrospective analysis of patient medical records from a major gynaecological cancer unit of a teaching hospital in Lagos, Southwest Nigeria, to examine the relationship between body mass index (BMI) 30 kg/m2 as a measure of obesity, and progression-free (PFS) and overall survival (OS). We used Kaplan-Meier analysis stratified by patients' BMI categories (obese versus non-obese) and compared using the Log Rank test to estimate PFS and OS. The multivariable Cox proportional hazard model was used to estimate hazard ratios (HR) of the associations between the BMI categories and survival outcomes while adjusting for all confounding clinicopathologic variables. Hypothesis tests were conducted using a two-tailed approach with a significance level of 5%.

Results

Our study showed no statistically significant association between obesity and PFS (adjusted HR = 0.62, 95% confidence interval = 0.36-1.06, p = 0.282). However, a significant association was observed between obesity with or without ascites and OS (adjusted HR = 3.58, 95% confidence interval 1.28-10.02, p = 0.015).

Conclusion

Our findings suggest that obesity negatively impacts OS in patients with EOC, thus highlighting the need to address obesity in the management of EOC by introducing comprehensive, multidisciplinary approaches incorporating weight management and personalized treatment strategies to enhance the prognosis of these patients.

Impact of obese patients in ovarian cancer surgery on postoperative wound complications: A meta-analysis

The effect of obesity on wound-related outcomes in post-ovarian cancer patients is not clear. A number of studies on the association of fat with post-operation injury in ovarian carcinoma have produced contradictory findings. This study aims to conduct a study of the available data to assess the association of obese individuals with significant surgery results in ovarian cancer. We looked up Cochrane Library, Embase, and PubMed for qualifying research on ovarian cancer operations to determine the primary evidence for evaluating the association of obesity with post-surgical wound injury in ovarian cancer. The odds ratio (OR) was analysed with a fixed effect model if the variability of the study was small; otherwise, the analysis of the data was done with a random effect model. Out of 1259 related trials which were reviewed for eligibility, 6 publications were chosen from 2009 to 2019, 3076 patients who had had an operation for ovarian cancer. Obesity has been linked to an increased rate of wound-related complications in ovarian cancer operations compared to those without obesity (OR, 0.50; 95% CI, 0.37, 0.69 p < 0.0001). Non-obesity was significantly less likely to occur with respect to operation time compared to those with obesity (MD, -48.00; 95% CI, -55.33, -40.68 p < 0.00001). There were no statistically significant differences in the rate of haemorrhage after the operation (OR, 0.26; 95% CI, 0.04, 1.57, p = 0.14). Because of the limited number of trials in this meta-analysis, caution should be exercised in their treatment. More high-quality research with a large sample is required in order to confirm the findings.

Association between Energy Balance-Related Factors and Clinical Outcomes in Patients with Ovarian Cancer: A Systematic Review and Meta-Analysis

Background: This systematic review and meta-analysis synthesized evidence in patients with ovarian cancer at diagnosis and/or during first-line treatment on; (i) the association of body weight, body composition, diet, exercise, sedentary behavior, or physical fitness with clinical outcomes; and (ii) the effect of exercise and/or dietary interventions. Methods: Risk of bias assessments and best-evidence syntheses were completed. Meta-analyses were performed when ≥3 papers presented point estimates and variability measures of associations or effects. Results: Body mass index (BMI) at diagnosis was not significantly associated with survival. Although the following trends were not supported by the best-evidence syntheses, the meta-analyses revealed that a higher BMI was associated with a higher risk of post-surgical complications (n = 5, HR: 1.63, 95% CI: 1.06−2.51, p = 0.030), a higher muscle mass was associated with a better progression-free survival (n = 3, HR: 1.41, 95% CI: 1.04−1.91, p = 0.030) and a higher muscle density was associated with a better overall survival (n = 3, HR: 2.12, 95% CI: 1.62−2.79, p < 0.001). Muscle measures were not significantly associated with surgical or chemotherapy-related outcomes. Conclusions: The prognostic value of baseline BMI for clinical outcomes is limited, but muscle mass and density may have more prognostic potential. High-quality studies with comprehensive reporting of results are required to improve our understanding of the prognostic value of body composition measures for clinical outcomes. Systematic review registration number: PROSPERO identifier CRD42020163058.

The influence of body mass index on the tolerability and effectiveness of full-weight-based paclitaxel chemotherapy in women with early-stage breast cancer

PURPOSE

To investigate the influence of body mass index (BMI) on the tolerability and effectiveness of full-weight-based paclitaxel chemotherapy in early breast cancer patients.

METHODS

Early-stage breast cancer patients who received (neo)adjuvant weekly paclitaxel 80 mg/m² chemotherapy were included in this retrospective study. Patients were divided into three groups based on their BMI: lean, overweight, and obese. Logistic regression was used to assess for association between BMI with administered relative dose intensity (RDI) < 85%. The occurrence of treatment modifications and the pathological response on neoadjuvant chemotherapy were compared between BMI categories.

RESULTS

Four hundred (400) patients were included in this study; 200 (50%) lean, 125 (31%) overweight, and 75 (19%) obese patients. The adjusted odds ratio to receive RDI < 85% for BMI was 1.02 (p value, .263). Treatment modifications occurred in 115 (58%), 82 (66%), and 52 (69%) patients in the respective BMI categories (p value = .132). Peripheral neuropathy was observed in 79 (40%), 58 (46%), and 41 (55%) patients in the lean, overweight, and obese group (p value = .069), whereas hematologic toxicity was observed in 31 (16%), 10 (8%), and 4 (5%) patients (p value = .025). Pathological complete response was observed in 22 (17%), 11 (14%), and 6 (13%) patients in the respective BMI categories (p value = .799).

CONCLUSION

BMI did not significantly influence the tolerability and effectiveness of full-weight-based paclitaxel chemotherapy. Therefore, the results of this study align with current guideline recommendations of using full-weight-based paclitaxel chemotherapy in obese patients.

The ambiguous role of obesity in oncology by promoting cancer but boosting antitumor immunotherapy

Obesity is nowadays considered a pandemic which prevalence's has been steadily increasingly in western countries. It is a dynamic, complex, and multifactorial disease which propitiates the development of several metabolic and cardiovascular diseases, as well as cancer. Excessive adipose tissue has been causally related to cancer progression and is a preventable risk factor for overall and cancer-specific survival, associated with poor prognosis in cancer patients. The onset of obesity features a state of chronic low-grade inflammation and secretion of a diversity of adipocyte-derived molecules (adipokines, cytokines, hormones), responsible for altering the metabolic, inflammatory, and immune landscape. The crosstalk between adipocytes and tumor cells fuels the tumor microenvironment with pro-inflammatory factors, promoting tissue injury, mutagenesis, invasion, and metastasis. Although classically established as a risk factor for cancer and treatment toxicity, recent evidence suggests mild obesity is related to better outcomes, with obese cancer patients showing better responses to treatment when compared to lean cancer patients. This phenomenon is termed obesity paradox and has been reported in different types and stages of cancer. The mechanisms underlying this paradoxical relationship between obesity and cancer are still not fully described but point to systemic alterations in metabolic fitness and modulation of the tumor microenvironment by obesity-associated molecules. Obesity impacts the response to cancer treatments, such as chemotherapy and immunotherapy, and has been reported as having a positive association with immune checkpoint therapy. In this review, we discuss obesity's association to inflammation and cancer, also highlighting potential physiological and biological mechanisms underlying this association, hoping to clarify the existence and impact of obesity paradox in cancer development and treatment.

Computed Tomography-Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis

Purpose

To assess the association between computed tomography (CT)-derived quantitative measures of body composition profiling and chemotherapy-related complications, in terms of dose reduction, premature discontinuation of chemotherapy, and cycle delays in patients with ovarian cancer. Secondary purposes were to evaluate associations between sarcopenia and survival, and to evaluate differences in body composition profiling at baseline and after neoadjuvant chemotherapy.

Materials and Methods

The study population was retrospectively selected from a database of patients with newly diagnosed ovarian cancer (any stage) referred to our Institution between Feb 2011 and Mar 2020. Clinical data were recorded, and CT images at the level of the 3^rd lumbar vertebra were stored. By using specific software, skeletal muscle area (SMA), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle density (SMD) were extracted. Skeletal muscle index (SMI) was then calculated. Statistical analysis was performed by logistic regression models to identify body composition features predictive of dose reduction, premature end of chemotherapy, and cycle delays. Kaplan-Meier analyses were performed to assess overall survival (OS) and progression-free survival (PFS). The log-rank test was used to determine differences in OS and PFS between sarcopenic and non-sarcopenic patients. Wilcoxon test was performed to compare body composition features before and after neoadjuvant chemotherapy (NACT).

Results

Sixty-nine patients were included. A significant association was found between VAT and cycle delays (OR = 1.01, z = 2.01, 95% CI: 1.00–1.02, p < 0.05), between SMA and early discontinuation of chemotherapy (OR = 1.03, z = 2.10, 95% CI: 1.00–1.05, p < 0.05), and between mean SMD and cycle delays (OR = 0.92, z = −2.70, 95%CI: 0.87–0.98, p < 0.01). No significant difference emerged for OS in sarcopenic and non-sarcopenic patients, nor in CT body composition features before and after NACT.

Conclusions

In ovarian cancer patients, CT-derived body composition profiling might predict the risk of chemotoxicity. In particular, VAT and SMD are associated with chemotherapy cycle delays, and SMA with early discontinuation of chemotherapy.

Antineoplastic dosing in overweight and obese cancer patients: an Associazione Italiana Oncologia Medica (AIOM)/Associazione Medici Diabetologi (AMD)/Società Italiana Endocrinologia (SIE)/Società Italiana Farmacologia (SIF) multidisciplinary consensus position paper

Most anticancer molecules are administered in body-size-based dosing schedules, bringing up unsolved issues regarding pharmacokinetic data in heavy patients. The worldwide spread of obesity has not been matched by improved methods and strategies for tailored drug dosage in this population. The weight or body surface area (BSA)-based approaches may fail to fully reflect the complexity of the anthropometric features besides obesity in cancer patients suffering from sarcopenia. Likewise, there is a lack of pharmacokinetic data on obese patients for the majority of chemotherapeutic agents as well as for new target drugs and immunotherapy. Therefore, although the available findings point to the role of dose intensity in cancer treatment, and support full weight-based dosing, empirical dose capping often occurs in clinical practice in order to avoid toxicity. Thus a panel of experts of the Associazione Italiana Oncologia Medica (AIOM), Associazione Medici Diabetologi (AMD), Società Italiana Endocrinologia (SIE), and Società Italiana Farmacologia (SIF), provides here a consensus statement for appropriate cytotoxic chemotherapy and new biological cancer drug dosing in obese patients.

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The worldwide spread of obesity is an emerging challenge also in cancer patients

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Weight or BSA-based approaches do not adequately address the critical issue of optimal dosing for cancer drugs under obesity

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Empirical dose capping is often employed in clinical practice to avoid toxicities among overweight and obese patients

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There is a lack of clinical and pharmacokinetic studies in this population

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Clinical practice recommendations should guide suitable dosing of cytotoxic and biological cancer drugs in obese patients

Impact of dose-capping chemotherapy in concurrent chemoradiotherapy in rectal cancer patients

INTRODUCTION

The study evaluated the effect of chemotherapy dose-capping on disease recurrence, toxicity and survival of rectal cancer patients treated with chemoradiotherapy (CRT).

METHODS

601 consecutive rectal cancer patients treated with concurrent CRT were retrospectively analysed. Dose-capped patients were defined as having a body surface area (BSA) ≥2.0 m² and who received <95% full weight-based chemotherapy dose. Binary logistic regression was used to study the factors associated with the outcome variables (capped vs. uncapped). Kaplan-Meier estimation evaluated significant predictors of survival.

RESULTS

The median follow-up time was 7.54 years. The rate of disease recurrence was significantly higher in dose-capped patients (35%) compared to those without dose-capping (24%, P = 0.016). The adjusted odds ratio for dose-capped patients experiencing recurrence was 1.64 compared to uncapped patients (95% CI, 1.10-2.43). Overall, dose-capped patients were less likely to experience significant toxicity requiring dose reduction and/or treatment break when compared to uncapped patients (15% and 28% respectively, P = 0.008).There was significant differences in PFS between capped and uncapped group (77% vs. 85%; P = 0.017). The 5-year OS in the capped group was 75.0%, and 80% in the uncapped group (P = 0.149).

CONCLUSIONS

Rectal cancer patients treated with dose-capped CRT were at increased risk of disease recurrence. Patients dosed by actual BSA did experience excessive toxicity compared to dose-capped group. We recommend that chemotherapy dose-capping based on BSA should not be practiced in rectal cancer patients undergoing CRT.

Carboplatin dose capping affects pCR rate in HER2-positive breast cancer patients treated with neoadjuvant Docetaxel, Carboplatin, Trastuzumab, Pertuzumab (TCHP)

PURPOSE

Estimated glomerular filtration rate (eGFR) is commonly used to calculate carboplatin doses and capping the eGFR may be used to reduce the risk of excessive dosing and toxicity. We sought to retrospectively examine the impact of our carboplatin guidelines on pathological complete response rates (pCR) and toxicity in women with HER2+ breast cancer receiving neoadjuvant docetaxel, carboplatin, trastuzumab and pertuzumab (TCHP).

METHODS

The delivered area under the curve (dAUC) was calculated [(actual carboplatin dose at cycle 1 ÷ dose calculated with uncapped/unbanded eGFR) × 6] and dichotomized at the median value. The impact of this and other clinical factors on pCR rate, dose intensity (DI) and toxicity was assessed.

RESULTS

124 eligible patients were identified of whom 63.7% (79/124) achieved pCR. The median dAUC at cycle 1 was 5.75 mg × ml/min. Those with lower dAUC were more frequently younger and overweight/obese. Patients with lower dAUC had significantly inferior pCR rates of 54.8% (34/62) vs 72.6% (45/62), respectively (p = 0.040). Similar results were seen in the ER+ subgroup; 45.2% (19/42) vs 68.3% (28/41), p = 0.037%, whereas no significant difference was seen among ER- patients; 75.0% (15/20) vs 81.0% (17/21), p = 0.72. DI and toxicity were comparable between the two dAUC groups.

CONCLUSIONS

The overall pCR rate was high in patients with HER2+ breast cancer receiving the TCHP regimen; however, carboplatin dose capping resulted in inferior pCR rates, particularly in the ER+ subgroup. To ensure optimal dosing, isotopic measurement of renal function is warranted in patients who would otherwise have their eGFR and dose capped.

Obesity and chemotherapy administration: between empiric and mathematic method review

Introduction: Obesity is a major risk factor for chronic disease and cancer development. Therapeutic management of obese patients with cancer is a real challenge for physician because of the alteration of antineoplastic pharmacokinetics parameters in this population. In routine clinical practices, chemotherapy doses in obese patients are arbitrarily capped or adjusted to an ideal weight to minimize excessive toxicities. Material and methods: The main goal of this review is to describe the current state of knowledge concerning the correlation between the adjustment of BSA (capping or ideal weight) and the rates of global toxicities and survival outcomes in obese patients under chemotherapy in different types of cancer. We searched in the Medline database (via PubMed) in order to identify all publications of literature reviews whose subject chemotherapy dosing in obese population. Results: Only a single study was pointing toward increased of global toxicities of full weight dosing. Furthermore, some studies suggests that the practice of limiting doses in overweight and obese patients may negatively influence the quality of care and outcomes in a constantly increasing population. Conclusion: This review highlights the lack of prospective studies focusing on chemotherapy methods of administration in obese patients. At this time, there is no prospective study comparing capping and full weight dose chemotherapy administration in obese patient population.

Analysis of carboplatin dosing in patients with a glomerular filtration rate greater than 125 mL/min: To cap or not to cap? A retrospective analysis and review

The use of the Calvert formula to calculate carboplatin doses allows clinicians to achieve the appropriate carboplatin area under the concentration (AUC) curve. Thrombocytopenia is the dose limiting toxicity of carboplatin and optimizing AUC minimizes the risk of thrombocytopenia. Carboplatin clearance directly correlates with glomerular filtration rate (GFR) and, therefore, an accurate estimation of the renal function is needed. The Calvert formula was designed using the GFR measured by 51Cr-EDTA; however, many clinicians substitute estimated creatinine clearance (CrCl) as calculated by the Cockcroft–Gault (C–G) equation. The potential for overestimating AUC occurs when clinicians substitute actual weight in obese patients or use a low serum creatinine when calculating C–G estimated CrCl. In 2010, the National Cancer Institute recommended the GFR value within the Calvert formula should not exceed 125 mL/min, thereby capping the carboplatin dose. However, there are studies demonstrating that certain patients’ actual GFR values do exceed 125 mL/min. Therefore, capping the carboplatin dose in these patients may lead to underestimating the carboplatin AUC. A single-center, retrospective study was performed to evaluate the change in platelet count pre- and post-carboplatin exposure in patients with C–G estimated CrCl greater than 125 mL/min receiving capped versus uncapped carboplatin doses. A review of carboplatin dosing strategies is also presented. This study indicated there was a larger mean difference in pre- and post-platelet count in patients receiving uncapped carboplatin compared to patients receiving capped carboplatin with no differences in toxicities. Dose capping this patient population will likely lead to a lower AUC rather than the intended AUC target, which could ultimately lead to substandard outcomes.

Toxicity and effectiveness of carboplatin in obese or overweight patients

OBJECTIVE

To evaluate the efficiency and toxicity of carboplatin using actual body weight in obese/overweight patients using the Calvert formula with Cockcroft-Gault for CrCl estimation.

METHODS

We evaluated the association of BMI in regards to efficiency and toxicity in a retrospective cohort study of patients who started treatment with carboplatin between 2012 and 2013. Cohorts included obese/overweight patients and normal-weight patients. Efficiency was measured by overall survival, progression-free survival and response rate. Toxicity was measured by the proportion of dose reductions and delays of chemotherapy cycles. We utilized a bivariate and multivariate analysis.

RESULTS

Eighty-six patients were included in the study (50% obese/overweight). There was not a statistically significant difference in effectiveness and toxicity between the two groups in BMI. In the multivariate analysis, BMI not was associated with overall survival (hazard ratio: 0.95, 95% CI: 0.54-1.66, p = 0.849), progression-free survival (hazard ratio: 0.91; 95% CI: 0.54-1.54; p = 0.732), cycle delays (odds ratio (OR): 1.47, 95% CI: 0.80-2.69, p = 0.218) or carboplatin dose reductions (OR: 0.87, 95% CI: 0.35-2.15, p = 0.760). Response rate was 53.5% in both groups.

CONCLUSIONS

In our study, obese and overweight cancer patients did not show a statistically significant difference in terms of effectiveness and toxicity compared to normal-weight cancer patients who were treated with carboplatin using their actual body weight with the Calvert formula and Cockcroft-Gault for CrCl estimation. Therefore, it was appropriate to use the actual body weight for our patients.

Obesity and ovarian cancer risk: A systematic review

The association between obesity and ovarian cancer risk has been extensively investigated, but studies have yielded inconsistent findings. This review aims to summarise and discuss the evidence generated to date. Articles published in English prior to August 2016 were retrieved from PubMed. Keywords included obesity, overweight, body size, body mass index, waist-hip ratio, waist circumference, body weight, ovarian cancer, ovarian carcinoma, ovarian neoplasm, and ovarian tumour. Eligible studies compared two or more groups of women, with at least one group in the overweight or obese category and one comprising normal weight controls. Summary data in the form of relative risk, hazard ratio, or odds ratio for each comparison group from individual studies were collated and reviewed. Forty-three studies were included in the final analysis, with a total of 3,491,943 participants. All studies included body mass index as an exposure measure, and a majority relied on self-reported measures from participants; 14 studies found a statistically significant positive association between ovarian cancer risk and higher body mass index, 26 studies found no significant association, and 3 studies found a negative association between ovarian cancer risk and higher body mass index. This review concludes that there is limited, inconsistent evidence of a positive association between obesity and ovarian cancer risk.

How to Manage the Obese Patient With Cancer

Purpose

Obesity (body mass index [BMI] ≥ 30 kg/m2) is common among patients with cancer. We reviewed management issues in the obese patient with cancer, focusing on how obesity influences treatment selection (including chemotherapy dosing), affects chemotherapy toxicity and surgical complications, and might be a treatment effect modifier.

Methods

The majority of evidence is drawn from observational studies and secondary analyses of trial data, typically analyzed in N × 3 BMI categories (normal weight, overweight, and obese) matrix structures. We propose a methodological framework for interpretation focusing on sample size and composition, nonlinearity, and unmeasured confounding.

Results

There is a common perception that obesity is associated with increased treatment-related toxicity. Accordingly, cytotoxic chemotherapy dose reduction is common in patients with elevated BMI. Contrary to this, there is some evidence that full dosing in obese patients does not result in increased toxicity. However, these data are from a limited number of regimens, and fail to fully capture cytotoxic drug pharmacodynamics and pharmacokinetic variability in obese patients. Among patients undergoing surgery, there is evidence that elevated BMI is associated with increased perioperative mortality and increased rates of infectious complications. A novel finding is that these relationships hold after surgery for malignancy, but not for benign indications. There are biologic plausibilities that obesity might be an effect modifier of treatment, but supporting evidence from clinical studies is inconsistent.

Conclusion

In line with the ASCO 2012 guidelines, chemotherapy dosing is probably best performed using actual body weight in obese patients. However, specific regimens known to be associated with increased toxicity in this group should be used with caution. There is no guidance on dose for obese patients treated with biologic agents. Currently, there are no specific recommendations for the surgical management of the obese patient with cancer.

Impact of Body Weight and Body Composition on Ovarian Cancer Prognosis

Measures of body weight and anthropometrics such as body mass index (BMI) are commonly used to assess nutritional status in clinical conditions including cancer. Extensive research has evaluated associations between body weight and prognosis in ovarian cancer patients, yet little is known about the potential impact of body composition (fat mass (FM) and fat-free mass (FFM)) in these patients. Thus, the purpose of this publication was to review the literature (using PubMed and EMBASE) evaluating the impact of body weight and particularly body composition on surgical complications, morbidity, chemotherapy dosing and toxicity (as predictors of prognosis), and survival in ovarian cancer patients. Body weight is rarely associated with intra-operative complications, but obesity predicts higher rates of venous thromboembolism and wound complications post-operatively in ovarian cancer patients. Low levels of FM and FFM are superior predictors of length of hospital stay compared to measures of body weight alone, but the role of body composition on other surgical morbidities is unknown. Obesity complicates chemotherapy dosing due to altered pharmacokinetics, imprecise dosing strategies, and wide variability in FM and FFM. Measurement of body composition has the potential to reduce toxicity if the results are incorporated into chemotherapy dosing calculations. Some findings suggest that excess body weight adversely affects survival, while others find no such association. Limited studies indicate that FM is a better predictor of survival than body weight in ovarian cancer patients, but the direction of this relationship has not been determined. In conclusion, body composition as an indicator of nutritional status is a better prognostic tool than body weight or BMI alone in ovarian cancer patients.

Impact of Chemotherapy Dosing on Ovarian Cancer Survival According to Body Mass Index

IMPORTANCE

Optimal chemotherapy dosing in obese patients remains uncertain, with variation in practice. Dose reduction strategies are often used to avoid chemotoxicity, but recent American Society of Clinical Oncology guidelines recommend full dose.

OBJECTIVE

To evaluate the impact of body mass index (BMI) on chemotherapy dosing and of dose reduction on ovarian cancer survival.

DESIGN, SETTING, AND PARTICIPANTS

Cohort study in Kaiser Permanente Northern California (KPNC) health care setting of patients with primary invasive epithelial ovarian cancers diagnosed from January 2000 through March 2013. Analyses focused on 806 patients receiving adjuvant first-line therapy of carboplatin and paclitaxel with curative intent.

MAIN OUTCOMES AND MEASURES

Overall and ovarian cancer-specific mortality. Deaths were identified through the KPNC Mortality Linkage System, with median follow-up of 52.5 months. Hazard ratios (HRs) and 95% CIs were estimated from proportional hazards regression, accounting for prognostic variables including age at diagnosis, race, stage, grade, histologic type, chemotoxic effects, comorbidities, cancer antigen 125 levels, and BMI at diagnosis.

RESULTS

The strongest predictor of dose reduction was a high BMI. Compared with normal-weight women, obese class III women received 38% and 45% lower doses in milligrams per kilogram of body weight of paclitaxel and carboplatin, respectively (P < .001 for each agent). They also received lower relative dose intensity (RDI) for each agent and the combined regimen, calculated as average RDI (ARDI). Mean ARDI was 73.7% for obese class III women and 88.2% for normal-weight women (P < .001). Lower ARDI (<70%) was associated with worse overall (HR, 1.62 [95% CI, 1.10-2.37]) and ovarian cancer-specific survival (HR, 1.69 [95% CI, 1.12-2.55]). Women who were obese at diagnosis appeared to have better survival. In multivariable-adjusted analyses considering joint effects by BMI and ARDI, compared with women with normal weight and no dose reduction, normal-weight women with dose reduction (ARDI < 85%) experienced worse survival (HR, 1.50 [95% CI, 1.02-2.21]). For each BMI category, those with ARDI less than 85% had worse survival than those without dose reduction. The improved survival among obese women was no longer apparent with dose reduction.

CONCLUSIONS AND RELEVANCE

Lower RDI was an independent predictor of ovarian cancer mortality. This finding was strongest among normal-weight women but seen at all levels of BMI. Our results suggest that body size should not be a major factor influencing dose reduction decisions in women with ovarian cancer.

Development of a new equation to estimate creatinine clearance in cancer patients

PURPOSE

Determining renal function is important for chemotherapy eligibility and dosing. Measured creatinine clearance (mCrCl) is the gold standard but is cumbersome. Equations estimating CrCl (eCrCl) based on serum creatinine (SCr) produce widely varying estimates. Considering that SCr is derived from skeletal muscle, this study prospectively developed a new eCrCl equation in cancer patients using CT-defined muscle surface area (MSA) and evaluated its utility in a separate, retrospective series.

METHODS

In a prospective, observational cohort study of cancer patients, mCrCl by 24-h urine collection was correlated with CT-determined MSA to create an equation for eCrCl [muscle surface area (cm(2)) × 42/SCr]. eCrCl by Wright, Cockcroft-Gault (CG), CKD-EPI, MDRD, and MSA was compared to mCrCl to determine fit. MSA-eCrCl was used to simulate carboplatin dosing in a retrospective series of advanced non-small cell lung cancer (NSCLC).

RESULTS

Prospectively, 22 patients were accrued and evaluable (12 males; median age 69). MSA-eCrCl correlated stronger (r (2) 0.80) than current equations (r (2) 0.47-0.69) with mCrCl. In calculating carboplatin doses for 89 NSCLC patients with MSA and CG-eCrCl, median error of CG-determined carboplatin dose was 5.5 % (range -19.0 to 44.2 %), assuming that MSA was better at estimating CrCl. Forty-two patients (47 %) received doses that varied ≥10 % of what was calculated by MSA.

CONCLUSIONS

We propose a new formula for eCrCl in patients that appears more accurate than current formulae and may have implications for chemotherapy efficacy and toxicity. Studies to validate this formula are under way.

The effect of weight-based chemotherapy dosing in a cohort of gynecologic oncology patients

OBJECTIVE

Many clinicians limit chemotherapy doses based on a maximum body surface area (BSA) of 2m(2). We sought to determine how chemotherapy-related toxicities compared between groups of patients that varied with respect to BSA. We hypothesized that obese patients receiving weight-based (WB) dosing would not have significantly higher chemotherapy-related toxicities than control groups.

METHODS

We performed a retrospective review of patients with BSA≥2m(2) who received WB chemotherapy for a gynecologic cancer between January and August 2013. Subjects were matched with two controls: patients with BSA<2m(2) who received WB dosing, and patients with BSA≥2m(2) who received capped dosing at BSA=2m(2). Groups were matched for medical co-morbidities and prior cancer treatment. Demographic and clinical information was extracted and analyzed via ANOVA and Fisher's exact test.

RESULTS

A total of 75 patients were included. The three groups were similar in their medical co-morbidities and prior cancer treatment. When comparing pre- and post-treatment laboratory values, there was no difference in hematologic toxicities. There was no difference between groups with regard to treatment delays, unplanned admissions, transfusions, or dose reductions for toxicity.

CONCLUSIONS

Gynecologic cancer patients with BSA≥2m(2) treated with WB chemotherapy had no increase in hematologic or non-hematologic toxicities when compared to controls. Consideration should be given to using WB dosing in obese patients with gynecologic malignancies. Further investigation is required to determine the effect of WB dosing on progression-free and overall survival in obese gynecologic cancer patients.

Impact of obesity on chemotherapy management and outcomes in women with gynecologic malignancies

OBJECTIVE

To describe the effects of obesity on the pharmacokinetics and dosing of chemotherapies and provide recommendations for chemotherapy management in obese women with gynecologic malignancies.

METHODS

PubMEd and MEDLINE databases were searched for articles published before June 2014. Only English-language articles were considered. 84 manuscripts were reviewed and 66 were included. Search terms included: obesity, overweight, body mass index, body surface area, glomerular filtration rate, chemotherapy, ovarian cancer, endometrial cancer, inflammation, and pharmacokinetics,

RESULTS

Obese cancer patients have worse clinical outcomes, compared with non-obese patients. This may be because of differences in pharmacokinetics, metabolic dysregulation, or physicians' decisions to reduce chemotherapy dose-intensity during treatment to minimize toxicities. A 2012 American Society of Clinical Oncology Clinical Practice Guideline recommends using actual body weight for chemotherapy dosing in all patients treated with curative intent, irrespective of obesity, to avoid compromising clinical outcomes, including progression free survival (PFS) and overall survival (OS). In women with gynecologic cancers most studies demonstrate no difference in PFS or OS when obese patients receive the same chemotherapy dose intensity as non-obese patients, except perhaps with bevacizumab.

CONCLUSIONS

Chemotherapy dose-intensity is a critical determinant of cancer outcomes and should be maintained in all patients, irrespective of obesity. Future studies should prospectively examine the impact of obesity on clinical outcomes (adverse events, survival) to improve the care of this growing population of patients who are at risk for inferior clinical outcomes.

Myelotoxicity of carboplatin is increased in vivo in db/db mice, the animal model of obesity-associated diabetes mellitus

PURPOSE

Some authors observed increased carboplatin-associated myelotoxicity in obese patients which was exclusively attributed to elevated AUC. To investigate the potential contribution of functional changes of cells primarily responsible for myelopoiesis, granulocyte-macrophage progenitors (CFU-GM) were studied in obesity-associated diabetes mellitus (DMT2).

METHODS

The most frequently used animal model of human obesity with DMT2 is db/db mouse. Cellularity, frequency of CFU-GM and total CFU-GM content of femoral bone marrow were measured after 100 mg/kg dose of carboplatin in vivo. To exclude influence of pharmacokinetic changes, direct toxicity of carboplatin on CFU-GM was also determined in vitro and was compared with other anticancer agents, namely doxorubicin, 5-fluorouracil and 4-thiouridylate.

RESULTS

After intraperitoneal administration of carboplatin, each measured characteristics of bone marrow function was more significantly suppressed and the induced neutropenia was more serious in db/db mice than in the controls. The increased myelotoxicity seemed to be a direct effect on myeloid progenitor cells since their increased in vitro sensitivity was found in db/db mice. This was not specific for carboplatin, a similar double to fivefold increase in myelotoxicity of each cytotoxic drug with different mechanism of action was observed. Four-thiouridylate, a promising antileukemic molecule with good therapeutic index, was by far the least toxic for CFU-GM of db/db mice.

CONCLUSIONS

A serious disorder of CFU-GM progenitors was suggested in obese mice with DMT2, which eventually might lead to more severe myelotoxicity and neutropenia. Weight loss and normalization of glucose homeostasis may be important before chemotherapy of malignant diseases in obesity with DMT2.

What is the optimal treatment for obese patients with advanced ovarian carcinoma?

OBJECTIVE

The purpose of this study was to compare primary debulking surgery (PDS) vs neoadjuvant chemotherapy with interval debulking surgery (NACT-IDS) among obese patients.

STUDY DESIGN

Medical records of patients with a body mass index (BMI) of ≥30 kg/m(2) with ovarian/fallopian tube/primary peritoneal carcinoma between January 2005 and December 2010 were reviewed. Patients were separated by PDS or NACT-IDS. Preoperative characteristics, surgical procedures, and postoperative and oncologic outcomes were compared.

RESULTS

Of 117 patients, 95 women (81.2%) underwent PDS, and 22 women (18.8%) underwent NACT-IDS. Patients who underwent NACT-IDS were more likely to have stage IV disease (63.6% vs 26.3%; P = .001) and a low surgical complexity score (n = 14; 63.6%). There were no other differences between groups with respect to preoperative characteristics or postoperative morbidity. Compared with the NACT-IDS group, the PDS group had an improved progression-free survival (PFS; 15 vs 11 months; P = .006) and overall survival (OS; 53 vs 32 months; P = .036). Seventy-eight patients (66.7%) had a BMI of 30-34.9 kg/m(2). Within this subset of obese patients, the PDS group had an improved PFS (15 vs 10 months; P = .011) and OS (58 vs 32 months; P = .033), compared with the NACT-IDS group. Among patients with a BMI of ≥35 kg/m(2), there was no difference in PFS (14 vs 12 months; P = .316) or OS (38 vs 32 months; P = .640) when the PDS and NACT-IDS groups were compared.

CONCLUSION

Patients with a BMI of 30-34.9 kg/m(2) who undergo PDS have improved oncologic outcomes, compared with those women who undergo NACT-IDS. Patients with a BMI of ≥35 kg/m(2) who undergo PDS have similar oncologic outcomes to those who undergo NACT-IDS. Complication rates were similar at all BMIs, regardless of treatment approach.

Obesity-associated adipokines correlate with survival in epithelial ovarian cancer

OBJECTIVES

Obesity impacts outcome in women with epithelial ovarian cancer (EOC), although its exact role and the molecular mechanisms remain poorly defined. Adipocytes secrete leptin and adiponectin, and the leptin to adiponectin (L:A) ratio is correlated with poor survival in other malignancies. We hypothesized that the L:A ratio is associated with survival in women with EOC.

METHODS

We queried the institutional tumor registry for patients with advanced stage EOC and identified a cohort of 161 women with banked fasting prediagnostic serum samples. Patients underwent cytoredutive surgery followed by platinum-based chemotherapy. Sera were assayed for leptin and adiponectin, and clinico-pathologic data were abstracted. Standard statistical tests were performed.

RESULTS

161 patients met inclusion criteria. We identified a significant correlation between BMI and leptin and the L:A ratio, but not adiponectin, in this cohort (r=0.46, 0.46, and -0.13, respectively; p=0.001, 0.001, and 0.106). Women with low L:A ratios demonstrated statistically longer disease-specific survival (57 months) compared to those with median or high levels (49 and 37 months, respectively; p=0.02). On multivariate analysis, we determined that BMI and age, but not L:A ratio, retained significance as independent prognostic factors for survival (p=0.04, 0.004, and 0.895, respectively).

CONCLUSIONS

In this cohort, the L:A ratio correlated statistically with clinical outcome, but did not independently predict survival. Obesity remains a modifiable risk factor in women with EOC. Further studies are needed to determine if leptin and/or adiponectin may be potential therapeutic targets in obese women with EOC.

Effect of obesity on toxicity in women treated with adjuvant chemotherapy for early-stage breast cancer: a systematic review

The purpose of this study is to provide more definite evidence regarding the role of dose modification of chemotherapy in obese women with breast cancer by systematically reviewing current literature regarding chemotherapy-induced toxicity rates in obese and non-obese women with early-stage breast cancer. A systematic search of Pubmed and EMBASE was conducted to identify original studies investigating chemotherapy-induced toxicity in obese women receiving adjuvant chemotherapy treatment for breast cancer. Ten studies were identified. We noted low rates of adjustment for confounders such as prophylactic hematopoietic growth factor use and empirical dose reductions. Seven studies found reduced toxicity in obese compared to non-obese women. Of four studies, where dose capping was precluded or statistically adjusted for, three found reduced toxicity in obese women. These outcomes include less febrile neutropenia (body mass index (BMI) >23.6; odds ratio (OR) 4.4; 95 % confidence interval (CI) 1.65-12.01), fewer hospital admissions (BMI >35; OR 0.61, 95 % CI 0.38-0.97), and fewer neutropenic events (BMI >25; OR 0.49; 95 % CI 0.37-0.66). Only a single study reported higher rates of toxicity in obese women, but this study had significant methodological issues. As a conclusion, we observed that obese patients tolerate chemotherapy better than lean patients. However, this may be confounded by poorly specified dose capping practices and the use of hematopoietic growth factors. Further research should focus on improved documentation of body size, of dose, and of use of growth factors, and analysis of how these affect recurrence rates, toxicity, and survival.

Evolution of the Gynecologic Oncology Group protocols in the treatment of epithelial ovarian cancer

This chapter reviews some of the sentinel Gynecologic Oncology Group (GOG) ovarian trials, describes their rationale, provides summary tables for reference, and is organized into early ovarian cancer (GOG 1, 7601, 7602, 95, 157, 175, 212), advanced ovarian cancer optimal (2, 25, 52, 104, 114, 158, 172, 182, 178, 212, 252), and suboptimal disease (3, 22, 47, 97, 111, 162, 182, 218, 252, 262).

Obesity and ovarian cancer survival: a systematic review and meta-analysis

Studies that have examined the association between obesity and ovarian cancer survival have provided conflicting results. We reviewed and quantitatively summarized existing evidence, exploring potentially important sources of variability, such as the timing of body mass index (BMI) assessment and different cutpoints used to categorize BMI. A systematic search of MEDLINE and EMBASE was conducted to identify original data evaluating the association between obesity and survival in women with ovarian cancer. Adjusted hazard ratios (HR) from studies were pooled using a random-effects model. The meta-analysis of 14 studies showed slightly poorer survival among obese than in non-obese women [pooled HR, 1.17; 95% confidence interval (CI), 1.03-1.34]. This estimate did not vary appreciably when BMI was measured before diagnosis (1.13; 0.95-1.35), at the time of diagnosis (1.13; 0.81-1.57) or at the commencement of chemotherapy (1.12; 0.96-1.31). We found a slightly stronger association in studies that only included women with a BMI ≥ 30 in their "obese" group (1.20) than in studies that also included overweight women (BMI ≥ 25; 1.14). Women with ovarian cancer who are obese appear to have slightly worse survival than non-obese women. However, there is a large amount of inter-study variation, which means that no solid conclusions can be drawn.

Appropriate chemotherapy dosing for obese adult patients with cancer: American Society of Clinical Oncology clinical practice guideline

PURPOSE

To provide recommendations for appropriate cytotoxic chemotherapy dosing for obese adult patients with cancer.

METHODS

The American Society of Clinical Oncology convened a Panel of experts in medical and gynecologic oncology, clinical pharmacology, pharmacokinetics and pharmacogenetics, and biostatistics and a patient representative. MEDLINE searches identified studies published in English between 1996 and 2010, and a systematic review of the literature was conducted. A majority of studies involved breast, ovarian, colon, and lung cancers. This guideline does not address dosing for novel targeted agents.

RESULTS

Practice pattern studies demonstrate that up to 40% of obese patients receive limited chemotherapy doses that are not based on actual body weight. Concerns about toxicity or overdosing in obese patients with cancer, based on the use of actual body weight, are unfounded.

RECOMMENDATIONS

The Panel recommends that full weight-based cytotoxic chemotherapy doses be used to treat obese patients with cancer, particularly when the goal of treatment is cure. There is no evidence that short- or long-term toxicity is increased among obese patients receiving full weight-based doses. Most data indicate that myelosuppression is the same or less pronounced among the obese than the non-obese who are administered full weight-based doses. Clinicians should respond to all treatment-related toxicities in obese patients in the same ways they do for non-obese patients. The use of fixed-dose chemotherapy is rarely justified, but the Panel does recommend fixed dosing for a few select agents. The Panel recommends further research into the role of pharmacokinetics and pharmacogenetics to guide appropriate dosing of obese patients with cancer.

The two major epidemics of the twenty-first century: obesity and cancer

It is a well-known fact that severe obesity is associated with the metabolic syndrome, type 2 diabetes, cardiovascular disease, hypertension, and other diseases. Epidemiological studies have suggested that obesity is also associated with increased risk of several cancer types. The number of people who are suffering from severe obesity is growing, and clinical data suggest that severely obese patients belong to a unique population with regards to risk, efficacy of screening, and cancer treatment. This review will point out the potential mechanism linking obesity and cancer and will discuss several challenges in various treatment modalities of cancer in obese patients.

Chemotherapy dose reductions in obese patients with colorectal cancer

BACKGROUND

In cancer patients with a large Body Surface Area, chemotherapy drug doses are often reduced, as studies have suggested that their pharmacokinetics may be altered. However, this strategy may result in underdosing obese patients.

PATIENTS AND METHODS

In three Medical Research Council trials of chemotherapy for advanced colorectal cancer, dose reductions were not mandated. This provided the opportunity to compare the toxicity levels in those obese patients fully dosed and to investigate if those under dosed experienced a worse survival. Body Mass Index (BMI) was used to classify patients as normal weight (BMI < 25), overweight (BMI 25-29), or obese (BMI 30+).

RESULTS

Of the 4781 patients, 2158 (45%) were classified as normal weight, 1753 (37%) as overweight, and 870 (18%) as obese. There was no evidence that, in those patients fully dosed, obese patients experienced more toxicity or that dose-reducing obese patients resulted in less toxicity. However, there was a suggestion that those obese patients who were given reduced doses had a worse progression-free survival [hazard ratio (HR) 1.21, 95% confidence interval (CI) 1.06-1.39, P = 0.006] and a slightly worse overall survival (HR 1.12, 95% CI 0.96-1.30, P = 0.152).

CONCLUSION

These results, although not a randomised comparison, do not support the policy of reducing chemotherapy doses for obese patients with colorectal cancer.

An analysis of measured and estimated creatinine clearance rates in normal weight, overweight, and obese patients with gynecologic cancers

Study objective: Different equations used to estimate creatinine clearance (Clcr) in obese oncology patients can produce divergent estimated creatinine clearance values, which in turn can result in significantly different calculated carboplatin doses. Standardization of the calculation of creatinine clearance in patients of all body types is a desirable goal. The objective of our study was to examine the impact of increasing body mass index on the accuracy of creatinine clearance estimation methods and to determine the optimal equation for creatinine clearance estimation in the obese adult female cancer patient.

Design: Retrospective data analysis.

Patients: We compared the estimated creatinine clearance values produced by each of 11 equations to 24-hour creatinine clearance values measured in 119 adult female patients with gynecologic cancers grouped according to body composition.

Measurements and main results: We applied simple linear regression and Tukey mean-difference analysis to assess the relationship between estimated creatinine clearance values produced by these equations and measured creatinine clearance values for each patient. The relationship between measured creatinine clearance and estimated creatinine clearance produced by all equations displayed lower linear regression R2 values and higher limits of agreement in obese patients than in nonobese groups. Agreement between measured and estimated creatinine clearance produced by the Cockcroft-Gault equation is sensitive to the particular weight parameter incorporated and is lowest using ideal weight or actual body weight. The Cockcroft-Gault equation incorporating an intermediate weight value reduced estimation bias. The Jelliffe equation produced the lowest R2 values.

Conclusion: Available model equations are less reliable for predicting creatinine clearance in obese female cancer patients (body mass index >30) than in nonobese patients. A measured glomerular filtration rate or creatinine clearance value is most accurate in obese female cancer patients. When using Cockcroft-Gault equation for estimation in this patient population, however, an intermediate weight value (adjusted or modified-adjusted) rather than ideal or actual body weight should be used.

The impact of body weight on ovarian cancer outcomes

BACKGROUND

Obesity is a known risk factor and poor prognostic factor for many comorbidities including cancer. However, the influence of body mass index (BMI) on ovarian cancer outcomes is inconclusive. Therefore, the objective of this study was to evaluate the impact of BMI and weight changes on survival in patients with advanced ovarian cancer after primary treatment.

METHODS

All patients with a diagnosis of advanced epithelial ovarian cancer from January 2000 to December 2007 undergoing primary cytoreductive surgery and adjuvant chemotherapy were identified. Patients were divided into 3 categories: underweight/normal weight (BMI, <25 kg/m), overweight (BMI, 25-30 kg/m), and obese (BMI, >30 kg/m). Adjusted hazard ratios for progression-free survival (PFS) and overall survival (OS) were calculated via Cox proportional hazards models.

RESULTS

One hundred ninety-eight patients met the inclusion criteria. For all patients, the mean BMI was 26 kg/m (range, 16.4-49.1 kg/m), with 43% of patients being classified as normal weight, 29% overweight, and 28% as obese. Median 5-year OS was 48.2 months (95% confidence interval, 16.4-49.1 months), and no differences in OS were noted between BMI groups. Unadjusted median PFS for patients with normal weight was 13.7 months, compared with 15.5 and 17.9 months for the overweight and obese groups. Adjusted analysis of BMI over time indicates a trend of increased risk for patients who gain weight in the 6 months after primary therapy on disease progression (hazard ratio, 1.68; 95% confidence interval, 0.87-3.26).

CONCLUSIONS

After adjustment for confounders, such as stage, grade, histology, age, and debulking status, data suggest a trend toward a shorter PFS in patients with a normal BMI. However, OS was not significantly related to BMI, and weight change in the 6 months after completion of treatment had no effect on PFS or OS. Further research should be directed at elucidating relationships between weight and cancer biology.

Description of current practices of empiric chemotherapy dose adjustment in obese adult patients

PURPOSE

The literature is not clear on the best method to empirically dose chemotherapy in obese adult patients. The purpose of our study was to determine whether a standard of practice existed, characterize current practices of empiric dose adjustment (EDA) in obese adult patients, and identify factors affecting this decision.

METHODS

An electronic survey was distributed to oncologists and board-certified oncology pharmacists via the Association of Community Cancer Centers and Board of Pharmaceutical Specialties e-mail distribution lists. The survey contained patient scenarios assessing the impact of various factors on EDA of chemotherapy, demographic information, and details of institutional policies.

RESULTS

Responses were collected from 174 professionals. Pharmacists comprised 95% of respondents. Of these, 50% practiced in academic medical centers, and 19% practiced in institutions with a standard of practice regarding EDA for obesity. The most common methods of EDA were use of an adjusted body weight in the body-surface area (BSA) equation and capping BSA. Factors with the most impact on EDA were curative intent, degree of obesity, type of chemotherapy, and performance status.

CONCLUSION

There is no standard of practice regarding EDA of chemotherapy in obese adult patients. Although many factors affect this decision, intent of treatment, degree of obesity, performance status, age, and type of medication seem to carry the most weight.

Weight, physical activity, diet, and prognosis in breast and gynecologic cancers

Diet, physical activity, and weight may affect prognosis among women who are diagnosed with breast or gynecologic cancer. Observational studies show associations between being overweight or obese and weight gain with several measures of reduced prognosis in women with breast cancer and some suggestion of poor prognosis in underweight women. Observational studies have shown an association between higher levels of physical activity and improved breast cancer-specific and all-cause mortality, although a dose-response relationship has not been established. One large randomized controlled trial reported increased disease-free survival after a mean of 5 years in patients with breast cancer randomly assigned to a low-fat diet versus control. However, another trial of similar size found no effect from a high vegetable/fruit, low-fat diet on breast cancer prognosis. The few reported studies suggest that obesity negatively affects endometrial cancer survival, while the limited data are mixed for associations of weight with ovarian cancer prognosis. Insufficient data exist for assessing associations of weight, physical activity, or diet with prognosis in other gynecologic cancers. Associations of particular micronutrient intake and alcohol use with prognosis are not defined for any of these cancers. The effects of dietary weight loss and increase in physical activity on survival or recurrence in breast and gynecologic cancers are not yet established, and randomized controlled trials are needed for definitive data.