MicroRNAs with Prognostic Potential for Metastasis in Clear Cell Renal Cell Carcinoma: A Comparison of Primary Tumors and Distant Metastases

2013 ◽  
Vol 21 (3) ◽  
pp. 1046-1054 ◽  
Author(s):  
Joana Heinzelmann ◽  
André Unrein ◽  
Ulrike Wickmann ◽  
Sophie Baumgart ◽  
Marcus Stapf ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Brian Shuch ◽  
Ryan Falbo ◽  
Fabio Parisi ◽  
Adebowale Adeniran ◽  
Yuval Kluger ◽  
...  

Aims. Inhibitors of the MET pathway hold promise in the treatment for metastatic kidney cancer. Assessment of predictive biomarkers may be necessary for appropriate patient selection. Understanding MET expression in metastases and the correlation to the primary site is important, as distant tissue is not always available.Methods and Results. MET immunofluorescence was performed using automated quantitative analysis and a tissue microarray containing matched nephrectomy and distant metastatic sites from 34 patients with clear cell renal cell carcinoma. Correlations between MET expressions in matched primary and metastatic sites and the extent of heterogeneity were calculated. The mean expression of MET was not significantly different between primary tumors when compared to metastases (P=0.1). MET expression weakly correlated between primary and matched metastatic sites (R=0.5) and a number of cases exhibited very high levels of discordance between these tumors. Heterogeneity within nephrectomy specimens compared to the paired metastatic tissues was not significantly different (P=0.39).Conclusions. We found that MET expression is not significantly different in primary tumors than metastatic sites and only weakly correlates between matched sites. Moderate concordance of MET expression and significant expression heterogeneity may be a barrier to the development of predictive biomarkers using MET targeting agents.


2016 ◽  
Author(s):  
Anna Reustle ◽  
Steffen Rausch ◽  
Stefan Winter ◽  
Florian Büttner ◽  
Stephan Kruck ◽  
...  

2017 ◽  
Vol 471 (1) ◽  
pp. 107-115 ◽  
Author(s):  
Julien Dagher ◽  
Solène-Florence Kammerer-Jacquet ◽  
Frédéric Dugay ◽  
Marion Beaumont ◽  
Alexandra Lespagnol ◽  
...  

2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
Joana Heinzelmann ◽  
Sophie Baumgart ◽  
Ulrike Wickmann ◽  
Andre Unrein ◽  
Attila Szendroi ◽  
...  

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 474-474 ◽  
Author(s):  
Maria Isabel Carlo ◽  
Nabeela Khan ◽  
Yingbei Chen ◽  
James Hsieh ◽  
A. Ari Hakimi ◽  
...  

474 Background: Non-clear cell renal cell carcinoma (nccRCC) encompasses about 20% of RCC cases and includes a number of subtypes that vary clinically and molecularly. Compared to ccRCC, these tumors have more limited sensitivity to conventional anti-VEGF agents and mTOR inhibitors, and there is clear need for better therapies. Analysis of genomic alterations in potentially targetable pathways may lead to novel therapeutic development strategies. Methods: We retrospectively analyzed tumors from 112 patients with metastatic nccRCC with targeted next-generation sequencing (NGS) across a panel of >340 cancer-relevant genes. Matched tumor and normal was used to facilitate somatic calling. We report on recurrent alterations observed for nccRCC variants. Results: Median age was 53 years (range 12-77), 67% were male; 47% presented with metastatic disease and 53% with localized disease that later metastasized. NGS was performed on tissue from primary tumors (57%) or metastatic sites (43%). Subtype classifications included unclassified (44%), papillary (21%), chromophobe (13%), translocation (12%), and other (9%). The most frequently altered genes by subtype are included in table. 36% of unclassified or papillary tumors had a mutation in a putative driver gene amenable to targeted therapies, including MET, NOTCH1, SMARCB1, TSC1, TSC2, PIK3CA, and FGFR3. 3 chromophobe tumors and 1 translocation tumor had a mutation in a potentially targetable pathway. Conclusions: The mutation profiles of metastatic nccRCC vary by papillary, chromophobe, and translocation subtype, with unclassified tumors most approximating papillary subtype. Unclassified and papillary subtypes harbor frequent mutations in potentially targetable pathways that merit further investigation. [Table: see text]


2009 ◽  
Vol 181 (5) ◽  
pp. 2027-2032 ◽  
Author(s):  
Roberto Bertini ◽  
Marco Roscigno ◽  
Massimo Freschi ◽  
Elena Strada ◽  
Giovanni Petralia ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 4565-4565 ◽  
Author(s):  
Ritesh Kotecha ◽  
Erika Gedvilaite ◽  
Samuel J. Murray ◽  
Robert J. Motzer ◽  
Dana Tsui ◽  
...  

4565 Background: Circulating tumor DNA (ctDNA) assessment is a non-invasive approach for genomic interrogation of solid tumors. As a novel tool, key benchmarks for applications in metastatic clear cell renal cell carcinoma (mccRCC) are yet to be determined. To understand the utility of ctDNA, we performed a large cohort analysis using a comparative genomics approach integrating matched primary tissue and ctDNA genomic data. Methods: Pts with prior tumor mutational profiles generated via next generation sequencing (NGS) from nephrectomy or metastatic specimens underwent single-time point plasma collection. Targeted NGS sequencing with MSK-IMPACT was performed on tumor and ctDNA with subsequent bi-directional cross genotyping using Waltz 2.0. All pts had matched germline comparison from peripheral blood; clinical data was extracted from medical record. Liberal (1-2 reads) and stringent (≥3 reads) filters were applied, with a cut-off of < 30% allele frequency to remove germline mutations. Results: 111 mccRCC pts, of whom available IMDC-risk was favorable (35%), intermediate (60%), and poor-risk (5%) were included for analysis. The median time between tissue and ctDNA collection was 23 months (R: 1-177), and 96% of patients had undergone nephrectomy prior to ctDNA collection. In primary tissue sequencing, 64/111 (58%) from nephrectomy and 42/111 (42%) from metastatic sites, 569 unique alterations were identified across the whole cohort, with a median of 4 mutations/pt (R:1-23). RCC-specific alterations included VHL (88%), PBRM1 (48%), SETD2 (34%), KDM5C (17%), TP53 (14%). Across the cohort, 176 alterations were identified in ctDNA. With cross genotyping, ctDNA alterations concordant with primary tumors were detected in 20% (22/111 pts, 28 unique alterations) using stringent criteria with a median of 1 mutation/pt (R:1-2). Using liberal criteria, concordance with primary tumors was 59% (66/111 pts, 142 unique alterations) with a median of 2 mutations/pt (R: 1-8). Conclusions: This large cohort study matching oncogenomics from tumor and ctDNA highlights complexities and challenges of applying liquid biopsy in biomarker development in mccRCC.


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 732-732
Author(s):  
Sigrid Nakken ◽  
Øystein Eikrem ◽  
Hans-Peter Marti ◽  
Christian Beisland ◽  
Leif Bostad ◽  
...  

732 Background: Historically, 30 % of patients with localized kidney cancer develop distant metastases during follow-up. There is an urgent need to improve the individual risk assessment for clear cell renal cell carcinoma (ccRCC) patients. We therefore aim to characterize the gene expression profile of low-risk patients both with and without progressive disease to define predictive outcome candidate markers. Methods: Formalin-fixed tissue blocks from ccRCC patients (n=24, eight progressors and 16 non-progressors) with a low Leibovich score were collected. Patients had a mean age of 65 years (5 females and 19 males). The non-progressors were matched 2:1 to the progressors for gender, age, pT tumor stage, size, Fuhrman grade, and eGFR. Total RNA was extracted(miRNeasy FFPE Kit, Qiagen) and sequenced (TruSeq RNA Access Library Kit, Illumina). RNA-seq results were analyzed by ingenuity pathway analysis, K Nearest Neighbors algorithm, and survival analysis. Results: 1167 differentially expressed genes (abs.FC≥2, p≤0.05) were detected. Progressors overexpressed genes related to cancer, B-cell infiltration and other immune-system related pathways. Principal component analyses and hierarchical clustering depicted a systematic transcriptomic difference between progressors and non-progressors. Combinations of up to 10 genes were evaluated as classifiers. The AGAP2-AS1 mRNA classified 23 out of 24 samples correctly, without the need for a larger gene panel. The trend of expression was confirmed with RT-PCR.The correlation between sample status as either progressor or non-progressor and AGAP2-AS1 level was R2 =0.69, p <0.01. Patients were split into groups based on AGAP2-AS1 expression (cut-off log2cpm>1), where higher expression correlated with shorter survival; Wilcoxon (p<0.0001),Log-rank test (p<0.0001), Hazard ratio; 9.24E-11. Immunohistochemistry of AGAP2, USP10 and KI-67 confirmed results from the mRNA level. Conclusions: RNA-seq results show a transcriptomic difference between low-risk ccRCC progressors and low-risk non-progressors. AGAP2-AS1 may serve as a potential classifier for the identification of low-risk progressors.


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