You have accessJournal of UrologyKidney Cancer: Advanced (including Drug Therapy) II (PD39)1 Apr 2020PD39-03 HYPOXIA-INDUCIBLE FACTOR (HIF) PATHWAY GENES PREDICT OVERALL SURVIVAL FOR METASTATIC CLEAR CELL RENAL CELL CARCINOMA Paige K Kuhlmann*, MD Shengchen Su, Sungyong You, PhD Devin Patel, MD Brian Rini, MD Susan Halabi, Eric J Small, andMD Hyung L KimMD Paige K Kuhlmann*Paige K Kuhlmann* More articles by this author , Shengchen SuShengchen Su More articles by this author , Sungyong YouSungyong You More articles by this author , Devin PatelDevin Patel More articles by this author , Brian RiniBrian Rini More articles by this author , Susan HalabiSusan Halabi More articles by this author , Eric J SmallEric J Small More articles by this author , and Hyung L KimHyung L Kim More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000918.03AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Prognosis for metastatic RCC (mRCC) is variable. Aberrant HIF signaling is associated with progression of RCC. Using primary tumor tissue from Cancer and Leukemia Group B (CALGB) 90206, we assessed HIF pathway genes as predictors of overall survival (OS) in mRCC. METHODS: Gene expression was determined from 324 archival pretreatment nephrectomy specimens available from a phase III trial of 732 patients treated with interferon alpha (INF) vs. INF plus bevacizumab. TaqMan RT-qPCR was performed on the OpenArray platform using RNA extracted from tumor tissue macrodissected based on review of H&E staining by a genitourinary pathologist. Normalized gene expressions were centered and scaled across samples with means set at 0 and standard deviations set at 1 (z-score). HIF pathway genes were assessed in univariable and multivariable cox proportional hazard models as predictors of OS. The Cancer Genome Atlas (TCGA) RCC dataset was used for validation of the multivariable prognostic model. RESULTS: A total of 17 HIF pathway genes were assessed in univariable analysis, and 5 of these genes were associated with OS. Expression of VHL predicted OS (p=0.006). HIF2a (p=0.044) but not HIF1a (p=0.716) predicted OS. VEGF-D (p=0.026), but not VEGF-A (p=0.425), VEGF-B (p=0.440), or VEGF-C (p=0.135), was associated with OS. TGFA (p=0.014) and CCND1 (p=0.039) also exhibit significant association with OS. For illustration, patients were dichotomized into high and low risk groups based on mean gene expression score, and Kaplan-Meier plots were generated (Figure). In multivariable analysis, VEGF-D, TGFA and VHL were significant predictors of OS with HR of 1.49 [95% CI 1.16-1.94] between high and low risk groups (p=0.002). The model had a 5-year c-index of 0.62. When MSKCC clinical risk factors were added to this model, the 5-year c-index remained unchanged at 0.62, with HR=1.77 [95% CI 1.36-2.29] between high and low risk groups (p<0.0001). TCGA data does not allow MSKCC risk score to be calculated. Our multimarker model had a 5-year c-index of 0.56 when applied to the TCGA RCC dataset with HR=1.48 [95% CI 1.06-2.06] between high and low risk groups (p=0.022). CONCLUSIONS: The HIF pathway genes associated with OS include CCND1, VEGF-D, HIF2a, TGFA, and VHL. In a multivariable model, VEGF-D, TGFA and VHL were independent predictors of OS. Future studies should consider HIF pathway genes and multivariable models based on these genes as predictors of response to treatments targeting the hypoxia pathway and angiogenesis. Source of Funding: Supported by Award Numbers R01CA133072, Homer and Gloria Harvey Family Endowed Chair, and Lauhlere Family Fund © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e808-e809 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Paige K Kuhlmann* More articles by this author Shengchen Su More articles by this author Sungyong You More articles by this author Devin Patel More articles by this author Brian Rini More articles by this author Susan Halabi More articles by this author Eric J Small More articles by this author Hyung L Kim More articles by this author Expand All Advertisement PDF downloadLoading ...