e13618 Background: Previous investigations have demonstrated an inconclusive relationship between lipid biomarkers and mortality after cancer. Methods: We used data from 2,279 postmenopausal women diagnosed with 13 obesity-related cancers, who were part of the Women’s Health Initiative (WHI) lipid biomarkers cohort, to evaluate the relationship between lipid levels measured at study entry prior to cancer diagnosis, and mortality after cancer. Baseline lipid measurements consisted of HDL-Cholesterol, LDL-Cholesterol, and non-HDL-Cholesterol with ranges of measurement listed in the table. Obesity-related cancers included: meningioma, thyroid, adenocarcinoma of esophagus, breast, multiple myeloma, liver, kidney, gallbladder, stomach, uterus, pancreas, ovaries, and colorectal. The age adjusted relationship between baseline lipids and all-cause mortality as well as mortality due to cancer were estimated using Cox proportional hazards models and Fine-Gray models, respectively. Results: The majority of women in the cohort had either desirable or acceptable lipid levels (86% HDL-C, 30% LDL-C and 61% non-HDL-C. Low vs. desirable HDL-C levels were associated with higher risk of all-cause mortality (hazard ratio (HR) 1.54, 95% confidence interval [CI] [1.48, 1.60], p <.001) and higher cancer mortality (sub-distribution hazard ratio (SHR)1.9, 95% CI [1.51, 2.3], p <.001). High non-HDL-C vs desirable, was associated with higher all-cause mortality (HR 1.13, 95% CI [1.06, 1.21], p = .001) however no significant impact on cancer mortality (SHR 1.06, 95% CI [0.87, 1.30], p = 0.563). LDL-C levels demonstrated a more complex relationship with mortality, nevertheless, very high LDL-C levels were associated with higher risk of all-cause mortality (HR 1.63, 95% CI,1.21-2.2, p = ,0.001) and cancer-specific mortality (HR 1.78, 95% CI 1.22-2.63, p = 0.003). Conclusions: Elevated LDL-C and lower HDL-C may be associated with a lower risk of all-cause and cancer specific mortality in women diagnosed with obesity related cancers in the WHI. Results of multivariable adjustment for important predictors of mortality including race/ethnicity, medication use and other socio-demographic and clinical factors will be presented. [Table: see text]