Clinical cancer research : an official journal of the American Association for Cancer Research · 2014
MET is a potential target across all papillary renal cell carcinomas: result from a large molecular study of pRCC with CGH array and matching gene expression array.
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Albiges Laurence, Guegan Justine, Le Formal Audrey, Verkarre Virginie, Rioux-Leclercq Nathalie, Sibony Mathilde, Bernhard Jean-Christophe, Camparo Philippe, Merabet Zahira, Molinie Vincent, Allory Yves, Orear Cedric, Couvé Sophie, Gad Sophie, Patard Jean-Jacques, Escudier Bernard
Аннотация
PURPOSE: Papillary renal cell carcinomas (pRCC) are the most common nonclear cell RCC subtype. Germline mutations of the MET oncogene at 7q31 have been detected in patients with hereditary type I pRCC and in 13% of sporadic type I pRCC. Recent report of MET inhibition strengthened the role of c-Met inhibition across pRCC.
EXPERIMENTAL DESIGN: We collected 220 frozen samples of sporadic pRCC through the French RCC Network and quality controlled for percentage of malignant cells >70%. Gene expression was assessed on 98 pRCC using human whole-genome Agilent 8 × 60K arrays. Copy number alterations were analyzed using Agilent Human 2 × 400K and 4× 180K array for type II pRCC and comparative genomic microarray analysis method for type I pRCC. MET gene sequencing was performed on type I pRCC.
RESULTS: MET expression level was high across all pRCC. We identified copy number alterations (gain) in 46% of type II pRCC and in 81% of type I pRCC. Correlation between DNA copy number alterations and mRNA expression level was highly significant. Eleven somatic mutations of MET gene were identified amongst 51 type I pRCC (21.6%), including 4 new mutations. We validated LRRK2 cokinase as highly correlated to MET expression.
CONCLUSION: The present report expands the role of MET activation as a potential target across all pRCC subtypes. These data support investigating MET inhibitors in pRCC in correlation with MET activation status.
EXPERIMENTAL DESIGN: We collected 220 frozen samples of sporadic pRCC through the French RCC Network and quality controlled for percentage of malignant cells >70%. Gene expression was assessed on 98 pRCC using human whole-genome Agilent 8 × 60K arrays. Copy number alterations were analyzed using Agilent Human 2 × 400K and 4× 180K array for type II pRCC and comparative genomic microarray analysis method for type I pRCC. MET gene sequencing was performed on type I pRCC.
RESULTS: MET expression level was high across all pRCC. We identified copy number alterations (gain) in 46% of type II pRCC and in 81% of type I pRCC. Correlation between DNA copy number alterations and mRNA expression level was highly significant. Eleven somatic mutations of MET gene were identified amongst 51 type I pRCC (21.6%), including 4 new mutations. We validated LRRK2 cokinase as highly correlated to MET expression.
CONCLUSION: The present report expands the role of MET activation as a potential target across all pRCC subtypes. These data support investigating MET inhibitors in pRCC in correlation with MET activation status.
Предметные рубрики MeSH
AdultAgedAged, 80 and overCarcinoma, PapillaryCarrier ProteinsCluster AnalysisComparative Genomic HybridizationComputational BiologyDNA Copy Number VariationsExonsFemaleGene ExpressionGene Expression ProfilingHumansKidney NeoplasmsMaleMiddle AgedMutationNeoplasm GradingNeoplasm StagingProtein BindingProto-Oncogene Proteins c-metSequence Analysis, DNA