1456 Characterization of inter and intra tumor heterogeneity in primary melanoma and melanoma brain metastases

A. M. Valderrey, D. Kessler, Sierra Thompson, Xinmin Li, Kai Rau, S. Stern, Nicole Rudkin, K. Margolin, S. Kolker, M. Ascierto
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Abstract

Background Melanoma often metastasizes to the brain, 1 usu-ally with a lethal outcome. Recent studies have reported that systemic immunotherapies (IOT) are effective in patients (pts) with melanoma brain metastases (MBM). 2 3 Nevertheless, the failure of IOT in nearly half of patients with MBM leads to the urgency to deeper investigate mechanisms of intrinsic and acquired resistance. The aim of this study is to deeply charac-terize the tumor microenvironment (TME) of primary melanoma (PM) and MBM and to assess inter- and intra-tumor heterogeneity in order to identify potential strategies able to increase the success of IOT in pts with MBM. Formalin-fixed, paraffin-embedded (FFPE) tumor biopsies were derived from 7 PM and 14 MBM biopsies from different pts. was isolated from tumor regions and sub-jected to whole gene expression profiling (GEP). Ingenuity Pathway Analysis (IPA) was performed for enrichment assess-ment, and Microenvironment Cell Populations-counter (MCP-counter) method was used to estimate the abundance of immune and stromal infiltrated cell subpopulations. Selected transcripts including mRNA for CD163, CD45 and CD20 were evaluated by immunohistochemistry (IHC). Inter- and intra-tumor immune heterogeneity of n=59 selected immune protein was also determined in PM and MBM by digital spa-tial profiling (DSP) using Nanostring
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1456原发性黑素瘤和黑素瘤脑转移瘤间和肿瘤内异质性的表征
黑色素瘤经常转移到大脑,通常具有致命的结果。最近的研究报道,全身免疫疗法(IOT)对黑色素瘤脑转移(MBM)患者(pts)有效。然而,近一半MBM患者的IOT失败导致了深入研究内在和获得性耐药机制的紧迫性。本研究的目的是深入表征原发性黑色素瘤(PM)和MBM的肿瘤微环境(TME),并评估肿瘤间和肿瘤内的异质性,以确定能够提高MBM患者物联网成功率的潜在策略。采用福尔马林固定、石蜡包埋(FFPE)肿瘤活检,分别取自7例PM和14例MBM活检。从肿瘤区域分离并进行全基因表达谱分析(GEP)。采用独创性途径分析(Ingenuity Pathway Analysis, IPA)进行富集评估,采用微环境细胞群计数器(Microenvironment Cell Populations-counter, MCP-counter)方法估计免疫和基质浸润细胞亚群的丰度。选择的转录本包括CD163、CD45和CD20的mRNA,通过免疫组化(IHC)进行评估。利用Nanostring数字空间谱分析(DSP)方法测定了PM和MBM中n=59个选定免疫蛋白的肿瘤间和肿瘤内免疫异质性
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