c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma.
Publication/Presentation Date
2-1-2013
Abstract
BACKGROUND: Activation of the c-Met pathway occurs in a range of malignancies, including papillary renal cell carcinoma (RCC). Its activity in clear cell RCC is less clear. We investigated c-Met expression and inhibition in a large cohort of RCC tumors and cell lines.
METHODS: c-Met protein expression was determined by automated quantitative analysis (AQUA) on a tissue microarray (TMA) constructed from 330 RCC tumors paired with adjacent normal renal tissue. c-Met expression and selective inhibition with SU11274 and ARQ 197 were studied in clear cell RCC cell lines.
RESULTS: Higher c-Met expression was detected in all RCC subtypes than in the adjacent normal renal tissue (P < 0.0001). Expression was highest in papillary and sarcomatoid subtypes, and high-grade and stage tumors. Higher c-Met expression correlated with worse disease-specific survival [risk ratio = 1.36; 95% confidence interval (CI) 1.08-1.74; P = 0.0091] and was an independent predictor of survival, maintained in clear cell subset analyses. c-Met protein was activated in all cell lines, and proliferation (and colony formation) was blocked by SU11274 and ARQ 197.
CONCLUSIONS: c-Met is associated with poor pathologic features and prognosis in RCC. c-Met inhibition demonstrates in vitro activity against clear cell RCC. Further study of ARQ 197 with appropriate biomarker studies in RCC is warranted.
Volume
24
Issue
2
First Page
343
Last Page
349
ISSN
1569-8041
Published In/Presented At
Gibney, G. T., Aziz, S. A., Camp, R. L., Conrad, P., Schwartz, B. E., Chen, C. R., Kelly, W. K., & Kluger, H. M. (2013). c-Met is a prognostic marker and potential therapeutic target in clear cell renal cell carcinoma. Annals of oncology : official journal of the European Society for Medical Oncology, 24(2), 343–349. https://doi.org/10.1093/annonc/mds463
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
23022995
Department(s)
Administration and Leadership
Document Type
Article