Exploration of 68Ga-labelled prostate-specific membrane antigen-11 PET/CT parameters for identifying PBRM1 status in primary clear cell renal cell carcinoma

68Ga 标记前列腺特异性膜抗原-11 PET/CT 参数在原发性透明细胞肾细胞癌中识别 PBRM1 状态的探索

阅读:13
作者:B Wang, Y Deng, Q Xu, J Gao, H Shen, X He, Q Ding, F Wang, H Guo

Aim

To investigate the predictive value of 68Ga-labelled prostate-specific membrane antigen-11 (68Ga-PSMA-11) integrated positron-emission tomography (PET)/computed tomography (CT) in PBRM1-deficient clear cell renal cell carcinoma (ccRCC). Materials and

Conclusions

68Ga-PSMA-11 PET/CT could be used to discriminate invasive PBRM1-deficient ccRCC.

Methods

A total of 41 patients with ccRCC, were enrolled retrospectively and underwent 68Ga-PSMA-11 PET/CT preoperatively. Radiological parameters, including CT attenuation value and maximum standard uptake value (SUVmax), were derived. Immunohistochemical and multiple immunofluorescences staining were performed to evaluate the PBRM1 status and immune response. The predictive value of imaging factors was analysed using a receiver operator characteristic curve analysis. Univariate and multivariate logistic regression analyses were used to investigate the relationship between clinical and radiological variables and PBRM1 status.

Results

A total of 41 patients were included in this study, with 14 patients having PBRM1-deficient status. The tumour diameter on imaging and SUVmax differed significantly in patients with different PBRM1 expression statuses and no difference in CT attenuation was identified. Univariate and multivariate logistic regression analyses showed SUVmax was an obvious predictor for identification of PBRM1-deficient tumours. In addition, PBRM1-deficient tumours tended to be accompanied by greater cytotoxic T-cell infiltration, although most of them were in an exhausted state. Conclusions: 68Ga-PSMA-11 PET/CT could be used to discriminate invasive PBRM1-deficient ccRCC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。