Lalani Aly-Khan A, Gray Kathryn P, Albiges Laurence, Callea Marcella, Pignon Jean-Christophe, Pal Soumitro, Gupta Mamta, Bhatt Rupal S, McDermott David F, Atkins Michael B, Woude G F Vande, Harshman Lauren C, Choueiri Toni K, Signoretti Sabina
Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Oncotarget. 2017 Oct 23;8(61):103428-103436. doi: 10.18632/oncotarget.21952. eCollection 2017 Nov 28.
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, = 0.0003). Higher c-Met expression was associated with higher FNG (4 vs. 3) in primary tumors (average c-Met CS: 52 vs. 20, = 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.
在临床前模型中,c-Met通过调节程序性死亡配体1(PD-L1)促进肾癌细胞存活。然而,这种关系在人类透明细胞肾细胞癌(ccRCC)中尚未得到充分表征。我们使用配对的原发性和转移性样本评估了ccRCC患者中c-Met的表达,并评估了其与PD-L1表达及其他临床特征的关联。选择具有主要且最高Fuhrman核分级(FNG)的区域。使用抗Met单克隆抗体(MET4 Ab)通过免疫组化评估c-Met表达,并通过综合评分(CS,0 - 300)计算:c-Met染色强度(0 - 3)×阳性细胞百分比(0 - 100)。肿瘤细胞中的PD-L1表达先前已通过免疫组化评估,PD-L1+定义为PD-L1阳性细胞> 0%。我们的队列由45对原发性和转移性ccRCC样本组成。总体而言,与原发性部位相比,转移性部位的c-Met表达更高(平均c-Met CS:55对28,P = 0.0003)。原发性肿瘤中较高的c-Met表达与较高的FNG(4对3)相关(平均c-Met CS:52对20,P = 0.04)。PD-L1+肿瘤中的c-Met表达在数值上更高。与原发性肿瘤相比,转移性部位较高的c-Met表达表明应在转移灶中检测对c-Met抑制剂反应的生物标志物。虽然PD-L1+肿瘤中较高的c-Met表达需要进一步研究,但它支持在联合临床试验中探索这些靶点。