Influence of Lymphadenectomy on Survival for Early-Stage Endometrial Cancer

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Influence of Lymphadenectomy on Survival for Early-Stage Endometrial Cancer Jason D. Wright, MD, Yongemei Huang, MD/PhD, William M. Burke, MD, et al. Journal Club March 16, 2016 Blaine Campbell-PGY2

Objective To use a number of methods to control for confounding and selection bias to examine the association between lymphadenectomy (LAD) and survival in a large cohort of women with endometrial cancer

History

History Endometrial Adenocarcinoma 1980s: intracavitary radiation Later: primary surgery with lymph node sampling of high risk patients (+) nodes pelvic radiation Observational studies demonstrated therapeutic benefit for LAD, even if no nodal mets Sampling of nodes full LAD of pelvic/paraaortic

History Two European RCTs (2008, 2009) No association between LAD and survival? Power? Quality of dissection? Ability of nodal status to guide therapy

Materials and Methods

Materials and Methods Retrospective Cohort Study using the National Cancer Data Base Endometrioid Adenocarcinoma Hysterectomy +/- lymphadenectomy 1998-2011 Variety of statistical methodologies now available to control for measured and unmeasured confounders

Materials and Methods Retrospective cohort study 1500 Commission on Cancer-affiliated hosp Total of 151,089 women Data collected on: Pt demographics Clinical data Tumor characteristics Staging Treatment Overall survival

Materials and Methods Exclusion criteria Preoperative radiation Primary tumor before diagnosis of uterine cancer Spread of tumor beyond uterus (>T2) or metastasis Inclusion criteria Hysterectomy +/- LAD (regardless of nodal status) LN dissection = any LN

Grouping Staging system Study spanned the American Joint Commission on Cancer staging systems 5-7 Converted T stage to uniform nomenclature T1A (limited to endometrium or <50% myometrium) T1B (>50% myometrial invasion) T2 (cervical stromal involvement) Other divided groups >/< 10 (+) nodes, age, race, insurance, region of residence, level of education, tumor grade, use of adjuvant radiotherapy, hospital type, mean annual number of cases per hospital

Statistical Factors Propensity Score Analysis Instrumental Variable Analysis Cox Proportional Hazards Analysis & Regression Models Greedy 5:1 digit matching algorithm Poisson Distribution/Multivariable distribution Two-stage residual inclusion methodology Logistic Regression Model

Propensity Score Analysis the predicted probability of treatment. To calculate: Logistic regression model that included all clinical, oncologic, and hospital characteristics to determine the probability of undergoing LAD Marginal Cox proportional hazards regression models were used to estimate the HR of mortality with receipt of LAD accounting for hospital clustering

Instrumental Variable Analysis an analytic methodology that attempts to adjust for measured and unmeasured confounders through application of an exogenous instrument. Instrument = characteristic assoc with treatment but not outcome In this study, the instrument = geographic variation Provide pseudorandomization to help control for unmeasured confounding

Models Created 2 different methods Propensity score Instrumental variable analysis For each methodology, they developed a model to include: Only LAD LAD and all patient & hospital characteristics All the variables in the clinical model as well as adjuvant therapy

Results

Results 151,089 women (1998-2011) 99,052 (65.6%) LAD 52,037(34.4%) No LAD Overall rate of LAD: T1A = 60.7% T1B = 78.7% T2 = 77.9% 51.8% - 70.6%

Results Regression model adjusted for clinical characteristics (Propensity score, matching, or inverse probability tx): 16% reduction of mortality (HR 0.84, 95% CI 0.81-0.87) Similar when adjusted for adjuvant therapy (HR 0.85, 95% CI 0.82-0.87) Instrumental variable analysis: No statistically significant assoc between LAD and survival (HR 0.75, 95% CI 0.53-1.06 Similar after adjustment for adjuvant therapy (HR 0.76, 95% CI 0.54-1.06)

Results Stratified by T stage for T1A/T1B: Propensity score models suggested reduced mortality with LAD Instrumental variable analysis found no statistically significant association between LAD and survival All the modalities found decreased mortality in women with T2 tumors who underwent LAD

Results When limited to only women who underwent LAD, comparing # nodes (<10 nodes, >10 nodes) Instrumental variable analysis demonstrated no association between patients with T1A/T1B tumors

Discussion

Discussion These findings suggest that LAD is associated with a modest, if any, effect on survival for early-stage endometrial cancer Propensity/Regression analysis demonstrated improved survival Instrumental Variable analysis did not Unmeasured confounding factors may underlie reported association of survival

Discussion Several other trials with similar results People continue to question results Quality of LAD Power of study If LAD is not directly associated with survival, the procedure provides data regarding adjuvant therapy Potentially avoiding treatment of lower-risk women Our data suggest that at the population level, any survival benefit from LAD is likely very small

Questions? Thank you!