624 Background: The risk of intravenous contrast induced nephropathy (CIN) is not well described in post-nephrectomy or metastatic kidney cancer. Patients with nephrectomies and tumors of the kidney frequently have CKD and often require serial contrast imaging placing them at risk for CIN. Methods: This is a retrospective review of 292 patients metastatic RCC and/or with partial or radical nephrectomies (PN or RN) for kidney tumors at Mayo Clinic Arizona or Florida from 2010 through 2014. Results: We found 207 patients received at least one contrast scan, of whom 99 had metastatic RCC, 104 had local RCC and 4 had oncocytoma. At baseline (pre-nephrectomy) 41% (46/113) and 15% (11/76) of RN and PN respectively had CKD stages 3-5 and with at least 3 months follow up after both nephrectomy and contrast exposure 61% (68/113) and 33% (25/76) RN and PN developed CKD stages 3-5 respectively. The median contrast exposure scans were 4 (range 1-30 scans) with a median follow up of 26 months (range 1-96 months). In all patients with at least one contrast exposure, the median change in creatinine and GFR from baseline was 0.2 mg/dL and 8 ml/min respectively. Excluding those with bilateral nephrectomy there were 8 (8/207 = 4%) CIN events, 6/113 had a radical nephrectomy and 2/76 with 1 partial nephrectomy and 1 aborted nephrectomy (P value 0.37). Of these patients 5 (5/99 = 5%) had metastatic RCC and 3 (3/104 = 3%) local RCC. The median contrast exposure scans for patients with CIN were 8 (range 3-12) and median follow up was 31 months (range 4-47 months). Three patients all with metastatic RCC developed acute kidney injury from CIN requiring dialysis and died of complications in part related to CIN during that hospital stay or soon after. Two other patients developed CKD stage III after CIN events and 3 patients (including the one with a partial nephrectomy) showed no significant change in GFR after CIN. Conclusions: In this retrospective analysis, CIN after nephrectomy or metastatic RCC contributed to acute renal failure with 3 deaths and 2 patients developing CKD stage III. Further analysis is required to determine what risk factors for CIN in this population.
The impact of PBRM1 and BAP1 expression on outcomes of patients with metastatic renal cell carcinoma (mRCC) treated with VEGF-targeted therapy (TT).
Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 2_suppl | Pages: 616-616
616 Background: Polybromo-1 (PBRM1) and BRCA1 associated protein-1 (BAP1) are genes commonly mutated in clear cell RCC (ccRCC) and have been associated with clinical outcome. This work aims to evaluate the impact of PBRM1 and BAP1 expression by IHC in mRCC patients treated with VEGF-TT. Methods: PBRM1 and BAP1 expression was evaluated by IHC in a TMA including 146 mRCC patients. PBRM1 and BAP1 IHC scores were dichotomized as a binary variable: negative (-) or positive (+) (weak positivity was excluded). The associations of PBRM1 or BAP1 expression with baseline clinico-pathological characteristics were evaluated, as well as with overall survival (OS) and time to treatment failure (TTF) usingCox proportional hazards models. Results: Out of 146 patients, 116 and 109 samples had available results for PBRM1 and BAP1 staining, respectively. Overall, 90% (n = 131) patients had ccRCC. 70/116 samples (60%) were PBRM1- and 26/109 patients (24%) were BAP1-. Only 12% (n = 13) of patients had simultaneous negative PBRM1 and BAP1. While there was no association between PBRM1 expression status and clinical factors, BAP1- samples were associated with poor IMDC prognostic risk score (p = 0.004) and higher Fuhrman grade (p = 0.012). PBRM1+ patients showed a trend towards an increased risk of death and a shorter TTF compared to PBRM1- patients (OS: HR = 1.38, 95%CI: 0.92-2.07, p = 0.1; TTF: HR = 1.39, 95%CI: 0.94-2.06, p = 0.1). BAP1 expression was not independently associated with OS or TTF. Conclusions: Loss of PBRM1, but not BAP1 expression showed a trend towards longer TTF and OS in mRCC patients treated with VEGF-TT.
Comprehensive profiling of renal medullary and collecting duct carcinomas.
Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 2_suppl | Pages: 572-572
572 Background: Renal medullary carcinoma (RMC) is an aggressive malignancy affecting predominantly young African Americans with sickle cell trait (SCT) or disease (SCD), while a pathologically similar collecting duct carcinoma (CDC) affects patients without sickle cell trait. Clinical responses to chemotherapy and IL-2 in RMC/CDC are poor and novel therapies are needed. Methods: 9 patients with RMC (ages 13-58 y. o., all male) and 15 patients (ages 26-74 y. o., M:F = 13:2) with collecting duct carcinoma (CDC) were studied. Expression of PD-L1 was evaluated with 2 monoclonal antibodies (SP142 and SP263) and tumor infiltrating lymphocytes (TIL) were evaluated for PD1 expression (MRQ-22 antibody) using immunohistochemistry (IHC). Additional studies included ALK protein expression (D5F3 antibody), gene translocation (break apart FISH), next generation sequencing (NGS), and microsatellite instability (MSI). Results: Cancer cell PD-L1 expression above the threshold ( ≥ 2+, ≥ 5%) was seen in 7/9 RMC and 5/13 CDC cases. Concordance between 2 PD-L1 antibodies was 94.4%. PD-1+ TIL were absent in 6/18 cases and variably present in 12/18 cases (from 1 to > 15 TIL/40x power field). No MSI was detected in any of the cases tested (0/6). No case expressed ALK protein, but one case of CDC showed ALK gene re-arrangement. Mutations were identified in SMARCB1, FH, TP53 (3x), ATM, BRCA2, CHEK2 (2x), NF2 (3x), SETD2, and CDKN2A. No mutations in VHL or KDR were detected. One patient with RMC (and SCT) achieved complete clinical remission after treatment with bevacizumab plus paclitaxel. Conclusions: RMC and CDC strongly express PD-L1 in the majority of cases (12/22), suggesting that these patients may benefit from targeting the PD-L1/PD1 interaction. The absence of MSI in these cancers indicates a different mechanism of PD-L1 upregulation from colorectal carcinomas. Consistent with our previous study that showed frequent activation of (pseudo)hypoxia-induced pathways in RMCs (Human Pathology 2011;42:1979), we describe a case of RMC successfully treated with anti-VEGF therapy.
Correlation between findings from comprehensive genomic profiling and targeted therapy response in metastatic renal cell carcinoma.
Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 2_suppl | Pages: 570-570
570 Background: Vascular endothelial growth factor- (VEGF-) and mammalian target of rapamycin- (mTOR-) directed therapies represent a standard of care in metastatic renal cell carcinoma (mRCC). However, these agents are not employed based on an assessment of predictive biomarkers such as genomic alterations (GA). We sought to determine if an association exists between GA detected by comprehensive genomic profiling (CGP) and the response to VEGFR and mTOR pathway targeted therapies in a cohort of mRCC treated in a clinical practice setting. Methods: The results of CGP performed in the course of clinical care on 31 consecutive mRCC obtained from patients who had received VEGFR- and/or mTOR-inhibitors were reviewed. Duration of treatment (DOT), extent and duration of clinical response was obtained from review of medical records. All classes of genomic alterations - base substitutions, short insertions, deletions, gene fusions, rearrangements and copy number - were assessed via CGP. Descriptive statistics were used to determine the frequency of GAs in groups segregated by the DOT with VEGF-directed agents. Results: The most common GAs detected in this series were in VHL (70%), PBRM1 (48%), SETD2 (32%), TSC1 (29%), MLL (19%), TERT (16%), ARID1B (16%) and KDM5C (16%). Across 61 administrations of VEGF-directed therapy in 27 patients, exceptional responses (DOT > 21 months) were more frequent amongst patients with GAs in KDM5C, PBRM1, and VHL. Conversely, these patients also featured a lower frequency of GA associated with response to mTOR-directed therapy, such as TSC1. Conclusions: Multiple GAs are more prevalent in exceptional responders to VEGF-directed therapy. Prospective validation of these findings may lead to use of CGP to optimize therapeutic selection.
DNA methylation signature to define cell ontogeny of renal cell carcinomas.
Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 2_suppl | Pages: 536-536
536 Background: DNA methylation is a heritable covalent modification that is developmentally regulated and is critical in tissue-type definition. Although genotype-phenotype correlations have been described for different subtypes of renal cell carcinoma (RCC), it is unknown if DNA methylation profiles correlate with morphological or ontology based phenotypes. Here we test the hypothesis that DNA methylation signatures can discriminate between putative precursor cells in the nephron. Methods: We performed deep profiling of DNA methylation in diverse histopathological RCC subtypes and validated DNA methylation and transcriptome signatures in The Cancer Genome Atlas Clear Cell and Chromophobe Renal Cell Carcinoma Datasets. Results: Our data provide the first mapping of methylome epi-signature and indicates that RCC subtypes can be grouped into two major epi-clusters: C1 which encompasses clear cell RCC, papillary RCC, mucinous and spindle cell carcinomas and translocation RCC; C2 which comprises oncocytoma and chromophobe RCC. Interestingly, C1 epi-cluster displayed three fold more hypermethylation as compared to C2 epi-cluster. Of note, differentially methylated regions between C1 and C2 epi-clusters occur in gene bodies and intergenic regions, instead of gene promoters. Transcriptome analysis of C1 epi-cluster suggests a functional convergence on Polycomb targets, whereas C2 epi-cluster displays DNA methylation defects. Furthermore, we find that our epigenetic ontogeny signature is associated with worse outcomes of patients with clear-cell RCC. Conclusions: Taken together, our data defines the epi-clusters that can discriminate between distinct RCC subtypes and for the first time, to our knowledge, define the epigenetic basis for proximal versus distal tubule derived kidney tumors.
T-cell receptor (TCR) repertoire in metastatic renal cell carcinoma (RCC) patients treated with first-line vascular endothelial growth factor receptor blockade.
Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 2_suppl | Pages: 501-501
501 Background: Reports have demonstrated an inverse relationship between suppression of immune surveillance mechanisms and activation of the vascular endothelial growth factor receptor (VEGFR) pathway suggesting that T cell repertoires may impact response to VEGFR blockade. We evaluated the association between clinical outcomes and T cell repertoire in metastatic RCC patients receiving a front-line anti-VEGFR, pazopanib. Methods: Pre-treatment RCC tumors were analyzed from VEG105192, a phase III study of mRCC patients randomized (2:1) to pazopanib (paz) 800 mg daily vs placebo (pbo) for TCR gamma (TCRG) and TCR beta (TCRB) CDR3 regions. Using the Adaptive Biotechnologies immunoSEQ Assay, we assessed TCR clonality, a measure of total repertoire represented by expanded clones, and entropy, a measure of evenness and diversity. PD-L1 was evaluated by immunohistochemistry (IHC) H-Scores. The goal of the study was to determine if the repertoire of T cell clones was associated with progression-free survival as a clinical endpoint. Results: In the cohort with available tissue, the median PFS was 10.8 and 5.5 months (mos) for paz and pbo, respectively. TCRB (n = 114) and TCRG (n = 43 pbo, 109 paz) clonality ranged from 0-0.31 and 0-0.98, and entropy from 1-12.1 and 0-10.37, respectively. TCRB and TCRG entropy were highly correlated (Spearman’s R = 0.92, n = 114). Samples from the pbo-treated group with higher TCRG entropy, defined as the top 25th percentile, were associated with an improved median PFS (12.8 months) when compared to the lower 75th percentile (3.1 months, P = 0.023); similar trends were seen for TCRB entropy. Neither entropy nor clonality was associated with maximal reduction in tumor volume in the paz-treated group. PD-L1 H-scores were not associated with entropy or clonality (P > 0.05). Conclusions: Our data suggests that RCC samples with higher entropy are associated with a favorable prognosis. Identification of tumors with restricted TCRB/G chain usage and less diverse repertoire, as represented by lower entropy and higher clonality, may impact responses to VEGFR blockade and requires further study. Clinical trial information: NCT00334282.
Association of androgen receptor V9 (ARV9) mRNA expression in metastatic tissue with early resistance to pre-chemotherapy abiraterone acetate/prednisone (AA/P).
Journal of Clinical Oncology | February 24, 2017 | Volume: 34 | Issue: 2_suppl | Pages: 237-237
237 Background: AA/P is an approved treatment for mCRPC but there are no known predictive markers of response or resistance. We conducted a prospective trial to evaluate if Androgen Receptor (AR) & AR-variant (ARV) expression in tissue metastases can predict resistance to AA/P. Methods: mCRPC stage patients (pts) initiating pre-chemo AA/P underwent metastatic site biopsies prior to (pre-AA/P) and after 12 weeks of treatment. Composite progression at 12 weeks, (primary endpoint) was evaluated with PSA, RECIST, bone scan and symptoms (per PCWG2). mRNA expressions of pre-AA/P ARFL, ARV3, ARV7, ARV9, ARV23, ARV45, four cell cycle division genes, Chromogranin-A (CHGA) together with PSA/testosterone levels, Gleason Score (GS) at initial diagnosis; high versus low volume disease; time from starting hormone therapy to mCRPC stage and serum CHGA levels were evaluated using a logistic regression model for predicting resistance at 12 weeks of therapy. A final multivariate model fitted only those factors thought to be clinically relevant or with an entry threshold of p ≤ 0.3 in univariate analysis. Results: Between 6/2013 & 3/2015, 82 pts were enrolled of which 52 had complete mRNA expression & disease assessment data at the12-week time point for analysis. Median age of the cohort was 72.5 yrs (IQR: 68.5-78); median pre-AA/P PSA was 18 ng/ml (IQR: 8.1- 46.6); GS distribution at initial diagnosis for GS 2-6; 7; 8-10 was 11; 14; 27 respectively. Progression was observed in 21/52 pts after 12 weeks. At the univariate level elevated pre-AA/P expression of ARV3 (p = 0.08), ARV7 (p = 0.26), ARV9 (p = 0.04), and cell division cycle gene CDC45 (p = 0.19) along with GS at diagnosis (p = 0.29) met the threshold for inclusion into multivariate analysis. Elevated expression of pre-therapy ARV9 in metastases alone was associated with progression at 12 weeks (OR: 3.9; CI 1.07 – 14.16; C-Index: 0.63). The 12-week biopsy of pts with progression had increased ARV9 mRNA expression compared to pts responding at 12 weeks (p = 0.14). Conclusions: Increased ARV9 mRNA expression in metastases is associated with early resistance to AA/P. This observation will need further validation in comparable datasets. Clinical trial information: NCT #0195364.
DNA Methylation Signature Reveals Cell Ontogeny of Renal Cell Carcinomas
Clinical Cancer Research | June 2, 2016 | Volume: 22 | Issue: 24 | Pages: 6236-6246
A cancer-promoting histone protein Mutations in the chromatin protein histone H3 are found in a number of pediatric cancers. The lysine-36–to–methionine (K36M) “oncohistone” mutation is seen in almost all chondroblastomas. Fang et al. show that the K36M mutant histones inhibit the normal methylation of this same residue in wild-type H3 histones. They do so by interfering with the enzymes that normally methylate this residue. The altered chromatin methylation patterns alter the expression of known cancer-related genes and impart cancer-related characteristics to the chondrocyte cells. Science , this issue p. 1344
Abstract 10: Concordance of BAP1, PBRM1, Ki-67, and TOPOIIa protein expression in primary clear cell renal cell carcinoma tumors and patient-matched metastatic tumors
Clinical Cancer Research | May 20, 2016 | Volume: 22 | Issue: 1_Supplement | Pages: 10-10
Abstract Introduction: Efforts to improve clear cell renal cell carcinoma (ccRCC) mortality have focused primarily on evaluating prognostic biomarkers in primary tumors in order to identify indicators of response to treatment and targets for novel therapies. To date little attention has been paid to the status of these biomarkers in the more therapeutically-relevant metastatic tumor. Thus, we evaluated concordance of expression of four key prognostic ccRCC biomarkers (BAP1, PBRM1, Ki-67 and TOPOIIa) in a large cohort of patient-matched primary ccRCC and metastatic tumors. Methods: We identified 114 patients treated surgically for ccRCC between 1990 and 2005 who had synchronous (M1) or metachronous (M0) metastases, underwent metastasectomy for at least one metastatic lesion and had archived tissue available from the primary and at least one metastatic tumor. We performed IHC on all primary and metastatic tumors for BAP1, PBRM1, Ki-67, and TOPOIIa using previously-published protocols. BAP1 and PBRM1 expression was categorized as positive or negative and Ki-67 and TOPOIIa was quantified as the number of positive cells per mm2. For BAP1 and PBRM1, we calculated the concordance between patient-matched primary and metastatic tumors as the percentage of pairs where the primary and metastatic tumor had the same designation (i.e., positive or negative). For TOPOIIa and Ki-67, we assessed concordance using Spearman correlation coefficient. Analysis of variance was used to evaluate if concordance between primary-metastatic tumor pairs for TOPOIIa and Ki-67 was associated with metastatic site, metastatic timing (M0/M1), metastatic tumor grade, metastatic tumor necrosis, and metastatic tumor sarcomatoid differentiation. Results: There were a total of 161 patient-matched metastatic tumors available for the 114 patients: 78 patients had only a single metastasis while 36 patients had two or more metastases. While sites of metastases varied, pulmonary metastases were the most common (44% of all metastases). Loss of BAP1 expression was observed in19% of the primary ccRCC and 98.6% of the tumor pairs had concordant BAP1 status between the paired primary and metastatic tumors. Loss of PBRM1 was observed in 56% of the primary ccRCC tumors and 89.3% of tumor pairs showed concordant PBRM1 status. By comparison, median expression of Ki-67 was 65.0mm2 in the primary ccRCC tumors and the Pearson correlation with the patient-matched metastatic tumors was 0.43. The difference in Ki-67 expression between primary-metastatic tumor pairs was associated with necrosis in the metastatic tumor (p=0.014). Median expression of TOPOIIa was 2.6mm2 in the primary ccRCC tumors and the Pearson correlation with the patient-matched metastatic tumors was 0.25. The difference in TOPOIIa expression between primary-metastatic tumor pairs was associated with metastatic site (p=0.0006) and metastases to the heart were significantly different than pulmonary metastases (p<0.0001). Additionally, synchronous metastases had larger differences from their patient-matched primary tumors in comparison to metachronous metastases (p=0.012), as did necrotic metastases (p=0.028). Conclusion: We observed high concordance for loss of BAP1 and PBRM1 expression between primary ccRCC and metastatic tumors in the same patient. Conversely, we noted high discordance in protein expression of Ki-67 and TOPOIIa between patient-matched primary-metastatic tumor pairs. Moreover, this discordance varied by key pathological features. Our results suggest that using the status of a biomarker in primary ccRCC as a guide for the status in metastatic tumors is not always appropriate and needs to be evaluated on a marker-by-marker basis. Citation Format: Jeanette E. Eckel-Passow, Daniel J. Serie, John C. Cheville, Thai H. Ho, Sue M. Harrington, Tracy Hilton, Christine Lohse, Amanda Shreders, Payal Kapur, James Brugarolas, R Houston Thompson, Bradley C. Leibovich, Eugene D. Kwon, Richard W. Joseph, Alexander S. Parker. Concordance of BAP1, PBRM1, Ki-67, and TOPOIIa protein expression in primary clear cell renal cell carcinoma tumors and patient-matched metastatic tumors. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Integrating Clinical Genomics and Cancer Therapy; Jun 13-16, 2015; Salt Lake City, UT. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(1_Suppl):Abstract nr 10.