Correlation between glucose metabolism parameters derived from FDG and tumor TNM stages and metastasis-associated proteins in colorectal carcinoma patients

Author:

Zhang Mingyu,Yang Jigang,Jiang Hao,Jiang Huijie,Wang Zhenchang

Abstract

Abstract Background The aim of this study was to investigate the relationship between multiple metabolism parameters derived from FDG and tumor TNM stages as well as tumor metastasis-associated protein of GLUT-1 and MACC1 in colorectal carcinoma (CRC). Methods Thirty-eight patients (24 males and 14 females) with primary CRC confirmed by elective surgery pathological, who also accepted 18F-FDG PET/CT scans during 2017 to 2019 were included in this study. The tumor classification of T, N and M is explained by the 7th American Joint Committee on Cancer (AJCC). 18F-FDG parameters of SUVmax, SUVmean, TLG and MTV were measured by drawing a region of interest on the primary lesions. The expression of GLUT-1 and MACC1 was quantified by immunohistochemical, and the correlation between metabolism parameters and tumor biomarkers were analyzed. Results According to our analysis, the 18F-FDG parameters of SUVmean was significantly correlated with tumor M status (P = 0.000) of primary CRC. The primary tumor lesion with higher SUVmax, TLG and MTV values prone to a high-T status (P = 0.002, 0.002 and 0.001, respectively). The high expression of GLUT-1/MACC1 weas more frequently involved with T3–4 stage and was poorly differentiated in CRC patients. Multivariate analysis found that the expression of GLUT-1 protein was correlated with SUVmax and MTV (R2 = 0.42, P = 0.013 and 0.004, respectively), moreover, the expression of MACC1 protein was correlated with TLG (R2 = 0.372, P = 0.000). Conclusion Glucose metabolism parameters derived from FDG provides a noninvasive assessment of M status and T status in CRC patients. The expression of GLUT-1 and MACC1 was associated with 18F-FDG uptake in CRC patients.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Scientific Research Transformation Special Fund of Heilongjiang Academy of Medical Sciences

Scientific Research Project of Health and Family Planning Commission of Heilong jiang Province

Beijing Scholars Program

Beijing Friendship Hospital Seed Project

Beijing Postdoctoral Research Foundation

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

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