Validation and genomic interrogation of the MET variant rs11762213 as a predictor of adverse outcomes in clear cell renal cell carcinoma.

Authors

null

A. Ari Hakimi

Urology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY

A. Ari Hakimi , Irina Ostrovnaya , Anders Jacobsen , Jonathan A. Coleman , Paul Russo , Roy Mano , Alexander Sankin , Robert John Motzer , Mark Purdue , Mark Pomerantz , Matthew L Freedman , Toni K. Choueiri , James Hsieh , Robert J. Klein

Organizations

Urology Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, Memorial Sloan-Kettering Cancer Center, New York, NY, Department of Medicine, Genitourinary Oncology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, National Cancer Institute at the National Institutes of Health, Bethesda, MD, Dana-Farber Cancer Institute, Boston, MA, Broad Institute, Dana-Farber Cancer Institute/Harvard Medical School, Boston, MA, Dana-Farber Cancer Institute/Harvard Medical School, Boston, MA, Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY

Research Funding

No funding sources reported

Background: The exonic single nucleotide variant rs11762213 located in the METoncogene has recently been identified as a prognostic marker in clear cell renal cell carcinoma (ccRCC) (Schutz et al, Lancet Oncol 2013). We sought to validate this finding and explore the biologic implications using The Cancer Genome Atlas (TCGA) cohort. Methods: The variant call file (VCF) and expression data was available for 272 patients. We then extracted the data for rs11762213 as follows for the "normal" sample: allelic fraction for variant allele > 80% is homozygous variant while allelic fraction for variant allele 30% to 70% is heterozygous. Paired tumor-normal materials, genomic data (whole exome, RNAseq, and DNA methylation) and clinical information were acquired from publically available TCGA datasets. Kaplan-Meier method was used to estimate the survival probabilities. Cancer specific survival (CSS) was analyzed using the competing risk method and Cox proportional hazard regression was used for analysis of time to recurrence. Multivariate competing risk models were also fitted in the TCGA cohort in order to adjust for the Mayo Clinic SSIGN score. Results: Overall, the variant allele of rs11762213 was detected in 10.3% of the cohort and was associated with higher nuclear grade (p=0.03) and trended toward higher clinical stage (p=0.07). After adjusting for the prognostic SSIGN score, the risk allele remained a significant predictor for adverse cancer specific survival (CSS; p<0.0001; Odds Ratio [OR] 3.88, 95% confidence interval [CI] 1.99-7.56) and time to recurrence (TTR; p=0.003; OR 2.97; 95% CI 1.44-6.2). RNA sequencing data for MET did not reveal differences in tumor mRNA expression when stratified by risk allele, but did show differences in the normal kidney expression (p=0.02) in a smaller cohort (n=61). Conclusions: The exonic MET variant rs11762213 is an independent predictor of adverse CSS and TTR in ccRCC and could be integrated into clinical practice for prognostic stratification. Gene expression analysis suggests that inherited variation at MET influences expression of the gene in normal kidney tissue. Further external validation and biological interrogation is necessary.

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Abstract Details

Meeting

2014 Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

General Poster Session C: Renal Cancer

Track

Renal Cell Cancer

Sub Track

Renal Cell Cancer

Citation

J Clin Oncol 32, 2014 (suppl 4; abstr 395)

DOI

10.1200/jco.2014.32.4_suppl.395

Abstract #

395

Poster Bd #

C3

Abstract Disclosures

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