单位:[1]Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China[2]Jiangsu Institute of Nuclear Medicine, Wuxi, China[3]Department of Nuclear Medicine, Beijing Friendship Hospital, Affiliated to Capital Medical University, Beijing, China医技科室影像中心核医学科首都医科大学附属北京友谊医院[4]Department of Ultrasound, Harbin the First Hospital, Harbin, China[5]Department of PET/CT, The Second Affiliated Hospital of Harbin Medical University, Harbin, China[6]Department of PET/CT, Harbin Medical University Cancer Hospital, Harbin, China
Background: It has been rarely reported whether F-18-fluorodeoxyglucose ( F-18-FDG) uptake in colorectal cancer cells is associated with the expression of PD-L1. We performed a clinical pathology study to evaluate PD-L1 expression in patients undergoing surgical resection of colorectal cancer with preoperative F-18-FDG PET/CT imaging, with the aim of predicting the response of CRC patients to immune checkpoint inhibitors. Material and Methods: A retrospective analysis of patients with CRC who underwent FDG-PET imaging before surgery was performed to measure the parameters of FDG-PET imaging: the maximum standardized uptake value (SUVmax), the metabolic tumor volume (MTV), and the total lesion glycolysis (TLG) were evaluated to determine whether each parameter was associated with clinical pathology. Tumor specimens were subjected to PD-L1 staining by immunohistochemistry. Analysis of whether there is a correlation between PD-L1 expression and F-18-FDG uptake parameters in CRC. Results: PD-L1 expression level was significantly correlated with SUVmax, MTV3.0 and TLG3.0. Multivariate analysis showed that PD-L1 and TLG3.0 were independent predictors of poor DFS in patients with CRC (P=0.009; P=0.016), PD-L1 expression is closely related to the patient's lesion (TLG3.0) (P<0.01). Conclusion: The results of this study indicate that there was a significant correlation between PD-L1 expression and TLG3.0 which suggested that FDG-PET could serve as a noninvasive tool to assess the tumor microenvironment and as a predictor of PD-L1 inhibitor activity to determine the optimal therapeutic strategy for CRC. High PD-L1 expression levels and high TLG3.0 are independent risk factors for DFS differences in CRC patients.
基金:
National Key Research and Development Program of China [2019YFC0118100]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81671760, 81873910]; Scientific Research Transformation Special Fund of Heilongjiang Academy of Medical Sciences [2018415]; Scientific Research Project of Health and Family Planning Commission of Heilong jiang Province [201812, 201622]; Harbin Science and Technology Innovation Talent Research Special Fund Project [2012RFQXS063]; Postgraduate Research & Practice Innovation Program of Harbin Medical University [YJSKYCX2018-62HYD]
第一作者单位:[1]Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
通讯作者:
通讯机构:[1]Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China[5]Department of PET/CT, The Second Affiliated Hospital of Harbin Medical University, Harbin, China[*1]Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China[*2]Department of PET/CT, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
推荐引用方式(GB/T 7714):
Jiang Hao,Zhang Rongjun,Jiang Huijie,et al.Retrospective analysis of the prognostic value of PD-L1 expression and F-18-FDG PET/CT metabolic parameters in colorectal cancer[J].JOURNAL of CANCER.2020,11(10):2864-2873.doi:10.7150/jca.38689.
APA:
Jiang, Hao,Zhang, Rongjun,Jiang, Huijie,Zhang, Mingyu,Guo, Wei...&Li, Ping.(2020).Retrospective analysis of the prognostic value of PD-L1 expression and F-18-FDG PET/CT metabolic parameters in colorectal cancer.JOURNAL of CANCER,11,(10)
MLA:
Jiang, Hao,et al."Retrospective analysis of the prognostic value of PD-L1 expression and F-18-FDG PET/CT metabolic parameters in colorectal cancer".JOURNAL of CANCER 11..10(2020):2864-2873