原发性肿瘤和肾细胞癌肺转移的MET、PD-1/PD-L1和mTOR通路的回顾性免疫表型评估:RIVELATOR研究解决了生物标志物异质性的问题。

Melissa Bersanelli, Letizia Gnetti, Francesco Paolo Pilato, Elena Varotti, Federico Quaini, Nicoletta Campanini, Elena Rapacchi, Roberta Camisa, Paolo Carbognani, Enrico Maria Silini, Michele Rusca, Francesco Leonardi, Umberto Maestroni, Mimma Rizzo, Matteo Brunelli, Sebastiano Buti, Luca Ampollini
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引用次数: 0

摘要

目的:在肾细胞癌(RCC)中,肿瘤的异质性给生物标志物的开发和治疗管理带来了挑战,往往成为原发性和获得性耐药的原因。本研究旨在评估转移性RCC (mRCC)中已知可药物靶点的肿瘤间、肿瘤内和病变内异质性。方法:RIVELATOR研究是一项单中心回顾性分析25例原发性RCC及其配对肺转移的生物样本。分析的生物标志物包括MET、mTOR、PD-1/PD-L1通路和免疫环境。结果:表现出高度的多层次异质性。MET是最可靠的生物标志物,具有最低的肿瘤内异质性:MET在原发肿瘤中的表达与其转移之间呈正相关,具有显著的比例强度(P = 0.038)。mTOR通路蛋白的肿瘤内异质性等级明显更高。揭示了联合免疫表型表达模式及其与免疫环境的相关性[即转移瘤中mTOR表达与肿瘤浸润淋巴细胞(til)中PD-L1表达呈正相关,P = 0.019;MET表达与til (P = 0.041, ρ = 0.41)和瘤周淋巴细胞(ril;P = 0.013, ρ = 0.49)],提示有可能预测对酪氨酸激酶、mTOR或免疫检查点抑制剂的药物反应或耐药性。结论:在mRCC中,需要对潜在的预测性生物标志物进行多重和多层次的检测,以便将其可靠地转化为临床实践。本研究中易于使用的免疫组织化学方法可以识别不同的联合表达模式,为mRCC患者群体的系统治疗组合和序列的规划管理提供线索。所研究的生物标志物的数量异质性表明,需要进行多次病灶内检测,以考虑临床评估的可靠性。
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Retrospective immunophenotypical evaluation of MET, PD-1/PD-L1, and mTOR pathways in primary tumors and pulmonary metastases of renal cell carcinoma: the RIVELATOR study addresses the issue of biomarkers heterogeneity.

Aim: In renal cell carcinoma (RCC), tumor heterogeneity generated challenges to biomarker development and therapeutic management, often becoming responsible for primary and acquired drug resistance. This study aimed to assess the inter-tumoral, intra-tumoral, and intra-lesional heterogeneity of known druggable targets in metastatic RCC (mRCC).

Methods: The RIVELATOR study was a monocenter retrospective analysis of biological samples from 25 cases of primary RCC and their paired pulmonary metastases. The biomarkers analyzed included MET, mTOR, PD-1/PD-L1 pathways and the immune context.

Results: High multi-level heterogeneity was demonstrated. MET was the most reliable biomarker, with the lowest intratumor heterogeneity: the positive mutual correlation between MET expression in primary tumors and their metastases had a significantly proportional intensity (P = 0.038). The intratumor heterogeneity grade was significantly higher for the mTOR pathway proteins. Combined immunophenotypical expression patterns and their correlations with the immune context were uncovered [i.e., mTOR expression in the metastases positively correlated with PD-L1 expression in tumor-infiltrating lymphocytes (TILs), P = 0.019; MET expression was related to PD-1 expression on TILs (P = 0.041, ρ = 0.41) and peritumoral lymphocytes (RILs; P = 0.013, ρ = 0.49)], suggesting the possibility of predicting drug response or resistance to tyrosine kinase, mTOR, or immune checkpoint inhibitors.

Conclusions: In mRCC, multiple and multi-level assays of potentially predictive biomarkers are needed for their reliable translation into clinical practice. The easy-to-use immunohistochemical method of the present study allowed the identification of different combined expression patterns, providing cues for planning the management of systemic treatment combinations and sequences in an mRCC patient population. The quantitative heterogeneity of the investigated biomarkers suggests that multiple intralesional assays are needed to consider the assessment reliable for clinical considerations.

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