Citations

631 Background: For most clear cell renal cell carcinoma (ccRCC) patients with early stage disease, surgical resection offers definitive cure. However, for the small percentage of tumors that metastasize, analyzing gene expression profiles from the primary site at the time of nephrectomy can serve as a model to understand the molecular aberrations behind a metastatic phenotype. Differences in gene expression profiles between patients with Stage I and II ccRCC who experience metastasis versus patients who maintain cure after surgery may help elucidate significant molecular targets and stratify patients at higher risk for metastasis. Methods: Nineteen Stage I and twenty Stage II ccRCC tumors preserved in FFPE blocks after nephrectomy were included in this study. Patients were matched for age, gender, tumor size and grade. In both stages, approximately half the patients that experienced metastasis within 5 years of surgery were part of the experimental group, whereas the control group had > 5 years of follow-up without evidence of disease. Extracted RNA for Stage I patients was sequenced using Illumina TruSeq RNA Access Library. Gene counts were assessed by ht-seq counts and differential expression using DESeq2. Significant genes found were validated in the Stage II group using RT-qPCR. Results: In the Stage I experimental group, statistically significant upregulation of several genes associated with unfavorable prognosis in RCC were found: COL1A1, NUMBL, and STEAP3. Random forest classification accurately separated Stage I control versus experimental patients based on expression of COL1A1. Affected genes were consistent with molecular changes seen in TCGA analysis. In the Stage II group, a double-blinded analysis correctly identified the clinical outcome for the majority of the patients using qPCR expression of COL1A1, NUMBL, and STEAP3. Conclusions: Differences in gene expression profiles harbored in the primary site of early stage ccRCC may be employed to predict patients at high risk for developing metastasis. Validating these findings in a larger study carries the potential to better understand mechanisms of metastasis and identify an at risk cohort of patients with early stage disease.

Abstract INTRODUCTION AND OBJECTIVES: Patient responses to cancer immunotherapy such as checkpoint inhibitor drugs vary greatly between patients and there remains no biomarker to predict sensitivity to these drugs. We describe a patient derived xenograft (PDX) avatar system that predicts cancer immunotherapy responses in the context of tumor heterogeneity within 8-10 days. This avatar model preserves the original tumor microenvironment and tumor infiltrating lymphocytes (TILs) at a high tumor take rate for evaluation of various immunotherapy drugs. This prediction model also involves tumor infiltrating lymphocyte isolation and primary cell generation for confirming the immunotherapy response in vitro. This PDX avatar platform generates rapid actionable information and readily identifies patients that would maximally benefit from checkpoint inhibitor therapies in a phenotype-based manner. METHODS: Tissue from patients that underwent a nephrectomy for RCC or metastasectomy were engrafted into the chorioallantoic membrane of avian embryos with a portion used for TIL isolation and primary cell generation. PD-1 and PD-L1 checkpoint inhibitors were intravenously injected and high frequency ultrasound imaging and immunophenotyping was used to quantitate changes in tumor volume, vascularity, and TIL expansion in all treatment groups. Isolated TILs were expanded and co-cultured with respective primary cells to confirm and examine immunotherapy response at a molecular level. RESULTS: Patient PDXs demonstrated heterogeneous responses to immunotherapy that relates to presence and expansion of TILs after checkpoint inhibitor injection. Patient #1 demonstrated the greatest response with a >50% reduction in tumor volume and 4X expansion of T-cells over 8 days of treatment. Patient #2 demonstrated intratumoral heterogeneities in terms of tumor volume change after checkpoint inhibitors treatment despite TIL expansion in all treatment groups. Patient #3 showed no response that correlated to lack of TILs in the PDX. In vitro expansion of TILs and co-culture with primary cell line demonstrated a specific immune response via INF-gamma release and changes in immunomodulatory molecules. CONCLUSIONS: This PDX system preserves TILs and permits rapid large scale prediction of tumor specimens to various systemic therapy agents such as checkpoint inhibitors without the need for humanized models. This avatar system is a useful tool to rapidly predict and examine response to checkpoint inhibitors on a per-patient basis to improve the assignment of cancer immunotherapies to specific RCC patients. Citation Format: Mario Cepeda, Matthew Lowerison, Cindy Liu, Yarolslav Fedyshyn, Vidhu Joshi, Paras Shah, John Cheville, R. Houston Thompson, Boorjian Stephen, Bradley Leibovich, Haidong Dong, Hon S. Leong. Rapid patient derived xenograft avatars that consider tumor heterogeneity for prediction of cancer immunotherapy responses in metastatic renal cell carcinoma patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-155.

Objective To investigate the prognostic significance of various patterns of extrarenal extension that comprise pathological stage T3a clear‐cell renal cell carcinoma (ccRCC) amongst patients undergoing nephrectomy for non‐metastatic disease. Patients and Methods A retrospective review of 563 patients who underwent radical nephrectomy for pathologically confirmed T3aN0/NxM0 ccRCC between 1970 and 2011 was performed. All pathological slides were re‐reviewed by one urological pathologist. Associations of patterns of extrarenal extension (perinephric fat [PF], renal sinus fat [SF], and renal vein [RV], in isolation or in any combination) with disease progression, cancer‐specific mortality (CSM), and all‐cause mortality were evaluated on multivariable analyses. Results Overall, PF invasion, renal SF invasion, and RV tumour thrombus were present in 144 (26%), 51 (9%), and 163 (29%) patients, respectively, with multiple patterns of extrarenal extension identified in 205 (36%) patients. There were no significant differences in survival outcomes for isolated involvement of PF, renal SF, or RV. However, patients with multiple patterns of extrarenal extension were at significantly increased risk of disease progression (hazard ratio [HR] 1.31, 95% confidence interval [CI] 1.04–1.65; P = 0.020), CSM (HR 1.64, 95% CI 1.27–2.12; P < 0.001), and all‐cause mortality (HR 1.32, 95% CI 1.08–1.61; P = 0.008). Conclusions The presence of multiple patterns of extrarenal extension is associated with a higher risk of disease progression and cancer‐related death after radical nephrectomy compared to isolated involvement of the PF, renal SF, or RV, which carry similar prognostic weight. If validated, these findings may help refine risk stratification of non‐metastatic T3a RCC by distinguishing patients with multiple vs one pattern of extrarenal extension.

Objectives To investigate the impact of implementing magnetic resonance imaging (MRI) and ultrasonography fusion technology on biopsy and prostate cancer (PCa) detection rates in men presenting with clinical suspicion for PCa in the clinical practice setting. Patients and Methods We performed a review of 1 808 consecutive men referred for elevated prostate‐specific antigen (PSA) level between 2011 and 2014. The study population was divided into two groups based on whether MRI was used as a risk stratification tool. Univariable and multivariable analyses of biopsy rates and overall and clinically significant PCa detection rates between groups were performed. Results The MRI and PSA‐only groups consisted of 1 020 and 788 patients, respectively. A total of 465 patients (45.6%) in the MRI group and 442 (56.1%) in the PSA‐only group underwent biopsy, corresponding to an 18.7% decrease in the proportion of patients receiving biopsy in the MRI group ( P < 0.001). Overall PCa (56.8% vs 40.7%; P < 0.001) and clinically significant PCa detection (47.3% vs 31.0%; P < 0.001) was significantly higher in the MRI vs the PSA‐only group. In logistic regression analyses, the odds of overall PCa detection (odds ratio [OR] 1.74, 95% confidence interval [CI] 1.29–2.35; P < 0.001) and clinically significant PCa detection (OR 2.04, 95% CI 1.48–2.80; P < 0.001) were higher in the MRI than in the PSA‐only group after adjusting for clinically relevant PCa variables. Conclusion Among men presenting with clinical suspicion for PCa, addition of MRI increases detection of clinically significant cancers while reducing prostate biopsy rates when implemented in a clinical practice setting.