4.3 Article

Differential expression of c-Met between primary and metastatic sites in clear-cell renal cell carcinoma and its association with PD-L1 expression

期刊

ONCOTARGET
卷 8, 期 61, 页码 103428-103436

出版社

IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.21952

关键词

c-Met; PD-L1; primary; metastasis; renal cell carcinoma

资金

  1. Dana-Farber/Harvard Cancer Center Kidney SPORE
  2. Trust Family Fund for Kidney Cancer Research at Dana-Farber Cancer Institute
  3. Michael Brigham Fund for Kidney Cancer Research at Dana-Farber Cancer Institute
  4. Loker Pinard Fund for Kidney Cancer Research at Dana-Farber Cancer Institute

向作者/读者索取更多资源

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.

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