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癌症相关成纤维细胞的地理空间细胞分布对转移性透明细胞肾细胞癌的临床结果有显著影响。

Geospatial Cellular Distribution of Cancer-Associated Fibroblasts Significantly Impacts Clinical Outcomes in Metastatic Clear Cell Renal Cell Carcinoma.

作者信息

Chakiryan Nicholas H, Kimmel Gregory J, Kim Youngchul, Johnson Joseph O, Clark Noel, Hajiran Ali, Chang Andrew, Aydin Ahmet M, Zemp Logan, Katende Esther, Chahoud Jad, Ferrall-Fairbanks Meghan C, Spiess Philippe E, Francis Natasha, Fournier Michelle, Dhillon Jasreman, Park Jong Y, Wang Liang, Mulé James J, Altrock Philipp M, Manley Brandon J

机构信息

Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.

Integrated Mathematical Oncology Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.

出版信息

Cancers (Basel). 2021 Jul 26;13(15):3743. doi: 10.3390/cancers13153743.

Abstract

Cancer-associated fibroblasts (CAF) are highly prevalent cells in the tumor microenvironment in clear cell renal cell carcinoma (ccRCC). CAFs exhibit a pro-tumor effect in vitro and have been implicated in tumor cell proliferation, metastasis, and treatment resistance. Our objective is to analyze the geospatial distribution of CAFs with proliferating and apoptotic tumor cells in the ccRCC tumor microenvironment and determine associations with survival and systemic treatment. Pre-treatment primary tumor samples were collected from 96 patients with metastatic ccRCC. Three adjacent slices were obtained from 2 tumor-core regions of interest (ROI) per patient, and immunohistochemistry (IHC) staining was performed for αSMA, Ki-67, and caspase-3 to detect CAFs, proliferating cells, and apoptotic cells, respectively. H-scores and cellular density were generated for each marker. ROIs were aligned, and spatial point patterns were generated, which were then used to perform spatial analyses using a normalized Ripley's K function at a radius of 25 μm (nK(25)). The survival analyses used an optimal cut-point method, maximizing the log-rank statistic, to stratify the IHC-derived metrics into high and low groups. Multivariable Cox regression analyses were performed accounting for age and International Metastatic RCC Database Consortium (IMDC) risk category. Survival outcomes included overall survival (OS) from the date of diagnosis, OS from the date of immunotherapy initiation (OS-IT), and OS from the date of targeted therapy initiation (OS-TT). Therapy resistance was defined as progression-free survival (PFS) <6 months, and therapy response was defined as PFS >9 months. CAFs exhibited higher cellular clustering with Ki-67 cells than with caspase-3 cells (nK(25): Ki-67 1.19; caspase-3 1.05; = 0.04). The median nearest neighbor (NN) distance from CAFs to Ki-67 cells was shorter compared to caspase-3 cells (15 μm vs. 37 μm, respectively; < 0.001). Multivariable Cox regression analyses demonstrated that both high Ki-67 density and H-score were associated with worse OS, OS-IT, and OS-TT. Regarding αSMA+CAFs, only a high H-score was associated with worse OS, OS-IT, and OS-TT. For caspase-3, high H-score and density were associated with worse OS and OS-TT. Patients whose tumors were resistant to targeted therapy (TT) had higher Ki-67 density and H-scores than those who had TT responses. Overall, this ex vivo geospatial analysis of CAF distribution suggests that close proximity clustering of tumor cells and CAFs potentiates tumor cell proliferation, resulting in worse OS and resistance to TT in metastatic ccRCC.

摘要

癌症相关成纤维细胞(CAF)在透明细胞肾细胞癌(ccRCC)的肿瘤微环境中高度普遍。CAF在体外表现出促肿瘤作用,并与肿瘤细胞增殖、转移和治疗抗性有关。我们的目标是分析ccRCC肿瘤微环境中CAF与增殖和凋亡肿瘤细胞的地理空间分布,并确定与生存和全身治疗的关联。从96例转移性ccRCC患者中收集治疗前的原发性肿瘤样本。每位患者从2个感兴趣的肿瘤核心区域(ROI)获取3个相邻切片,并分别进行αSMA、Ki-67和caspase-3的免疫组织化学(IHC)染色,以检测CAF、增殖细胞和凋亡细胞。为每个标记生成H评分和细胞密度。将ROI对齐,并生成空间点模式,然后使用半径为25μm的归一化Ripley's K函数(nK(25))进行空间分析。生存分析采用最佳切点法,最大化对数秩统计量,将IHC衍生指标分为高分组和低分组。进行多变量Cox回归分析,同时考虑年龄和国际转移性肾细胞癌数据库联盟(IMDC)风险类别。生存结局包括从诊断日期开始的总生存期(OS)、从免疫治疗开始日期开始的OS(OS-IT)以及从靶向治疗开始日期开始的OS(OS-TT)。治疗抗性定义为无进展生存期(PFS)<6个月,治疗反应定义为PFS>9个月。与caspase-3细胞相比,CAF与Ki-67细胞表现出更高的细胞聚集性(nK(25):Ki-67为1.19;caspase-3为1.05;P = 0.04)。与caspase-3细胞相比,CAF到Ki-67细胞的中位最近邻(NN)距离更短(分别为15μm和37μm;P < 0.001)。多变量Cox回归分析表明,高Ki-67密度和H评分均与较差的OS、OS-IT和OS-TT相关。对于αSMA+CAF,只有高H评分与较差的OS、OS-IT和OS-TT相关。对于caspase-3,高H评分和密度与较差的OS和OS-TT相关。对靶向治疗(TT)耐药的患者比有TT反应的患者具有更高的Ki-67密度和H评分。总体而言,这种对CAF分布的体外地理空间分析表明,肿瘤细胞和CAF的紧密聚集会增强肿瘤细胞增殖,导致转移性ccRCC的OS较差和对TT耐药。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffd2/8345222/5b0b826d2a9d/cancers-13-03743-g001.jpg

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