Differential expression of c-Met between primary and metastatic sites in clear-cell renal cell carcinoma and its association with PD-L1 expression
- PMID: 29262573
- PMCID: PMC5732739
- DOI: 10.18632/oncotarget.21952
Differential expression of c-Met between primary and metastatic sites in clear-cell renal cell carcinoma and its association with PD-L1 expression
Abstract
In preclinical models, c-Met promotes survival of renal cancer cells through the regulation of programmed death-ligand 1 (PD-L1). However, this relationship in human clear cell renal cell carcinoma (ccRCC) is not well characterized. We evaluated c-Met expression in ccRCC patients using paired primary and metastatic samples and assessed the association with PD-L1 expression and other clinical features. Areas with predominant and highest Fuhrman nuclear grade (FNG) were selected. c-Met expression was evaluated by IHC using an anti-Met monoclonal antibody (MET4 Ab) and calculated by a combined score (CS, 0-300): intensity of c-Met staining (0-3) x % of positive cells (0-100). PD-L1 expression in tumor cells was previously assessed by IHC and PD-L1+ was defined as PD-L1 > 0% positive cells. Our cohort consisted of 45 pairs of primary and metastatic ccRCC samples. Overall, c-Met expression was higher in metastatic sites compared to primary sites (average c-Met CS: 55 vs. 28, p = 0.0003). Higher c-Met expression was associated with higher FNG (4 vs. 3) in primary tumors (average c-Met CS: 52 vs. 20, p = 0.04). c-Met expression was numerically greater in PD-L1+ vs. PD-L1- tumors. Higher c-Met expression in metastatic sites compared to primary tumors suggests that testing for biomarkers of response to c-Met inhibitors should be conducted in metastases. While higher c-Met expression in PD-L1+ tumors requires further investigation, it supports exploring these targets in combination clinical trials.
Keywords: PD-L1; c-Met; metastasis; primary; renal cell carcinoma.
Conflict of interest statement
CONFLICTS OF INTEREST AAL: educational travel support from Pfizer. KPG: stock and other ownership interests in MDGN. LA: research funding from Novartis and Pfizer; advisory role at Novartis, Pfizer, Amgen and Sanofi. DFM: consulting/advisory role at Alexion Pharmaceuticals, Array BioPharma, Bristol-Myers Squibb, Eisai, Exelixis, Genentech/Roche, Merck, Novartis, Pfizer, X4 Pharma; institutional research funding from Prometheus Labs. MBA: honoraria from Bristol-Myers Squibb; consulting/advisory role at Alkermes, Amgen, Bristol-Myers Squibb, C-Cam, Genentech, Genoptix, GlaxoSmithKline, Infinity Pharmaceuticals, Lilly, Merck, Nektar, Novartis, Pfizer, X4 Pharma. LCH: consulting/advisory role at Dendreon, Genentech, KEW Group, Medivation/Astellas, NCCN, Pfizer, PlatformQ Health, Theragene; institutional research funding from Bayer, Dendreon, Genentech/Roche, Medivation/Astellas, Sotio, Takeda, Bristol-Myers Squibb; Travel, Accommodations, and Expenses from Sanofi. TKC: honoraria from NCCN, UpToDate; consulting/advisory role at Bayer, Bristol-Myers Squibb, GlaxoSmithKline, Merck, Novartis, Pfizer; institutional research funding from AstraZeneca, Bristol-Myers Squibb, Exelixis, GlaxoSmithKline, Merck, Novartis, Peloton Therapeutics, Pfizer, Roche/Genentech, TRACON Pharma. SS: consulting/advisory role at AstraZeneca, Merck, Verastem; institutional research funding from AstraZeneca and Exelixis; patents or other intellectual property at Biogenex. The remaining authors declare no conflicts of interest.
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