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GIMAP 家族基因在肾透明细胞癌的放射基因组学特征:基于 CT 图像的观察性研究。

Radiogenomic Features of GIMAP Family Genes in Clear Cell Renal Cell Carcinoma: An Observational Study on CT Images.

机构信息

Department of Radiology, Cittadella Della Salute, Azienda Sanitaria Locale di Lecce, Piazza Filippo Bottazzi, 2, 73100 Lecce, Italy.

Department of Urology, "Vito Fazzi" Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy.

出版信息

Genes (Basel). 2023 Sep 22;14(10):1832. doi: 10.3390/genes14101832.

Abstract

GTPases of immunity-associated proteins (GIMAP) genes include seven functional genes and a pseudogene. Most of the GIMAPs have a role in the maintenance and development of lymphocytes. GIMAPs could inhibit the development of tumors by increasing the amount and antitumor activity of infiltrating immunocytes. Knowledge of key factors that affect the tumor immune microenvironment for predicting the efficacy of immunotherapy and establishing new targets in ccRCC is of great importance. A computed tomography (CT)-based radiogenomic approach was used to detect the imaging phenotypic features of GIMAP family gene expression in ccRCC. In this retrospective study we enrolled 193 ccRCC patients divided into two groups: ccRCC patients with GIMAP expression ( = 52) and ccRCC patients without GIMAP expression ( = 141). Several imaging features were evaluated on preoperative CT scan. A statistically significant correlation was found with absence of endophytic growth pattern ( = 0.049), tumor infiltration ( = 0.005), advanced age ( = 0.018), and high Fuhrman grade ( = 0.024). This study demonstrates CT imaging features of GIMAP expression in ccRCC. These results could allow the collection of data on GIMAP expression through a CT-approach and could be used for the development of a targeted therapy.

摘要

免疫相关蛋白的 GTPases(GIMAP)基因包括七个功能基因和一个假基因。大多数 GIMAP 在淋巴细胞的维持和发育中起作用。GIMAP 可以通过增加浸润免疫细胞的数量和抗肿瘤活性来抑制肿瘤的发展。了解影响肿瘤免疫微环境的关键因素对于预测免疫治疗的疗效和在 ccRCC 中建立新的靶点非常重要。本研究采用基于计算机断层扫描(CT)的放射基因组学方法检测 ccRCC 中 GIMAP 家族基因表达的影像学表型特征。在这项回顾性研究中,我们纳入了 193 名 ccRCC 患者,分为 GIMAP 表达组( = 52)和无 GIMAP 表达组( = 141)。在术前 CT 扫描上评估了几种影像学特征。结果发现无内生性生长模式( = 0.049)、肿瘤浸润( = 0.005)、高龄( = 0.018)和高级别 Fuhrman 分级( = 0.024)与 GIMAP 表达显著相关。本研究表明 ccRCC 中存在 GIMAP 表达的 CT 影像学特征。这些结果可以通过 CT 方法收集 GIMAP 表达的数据,并可用于靶向治疗的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d171/10606653/d2909c893642/genes-14-01832-g001.jpg

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