Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Jul;46(7):3227-3237.
doi: 10.1007/s00261-021-03015-w. Epub 2021 Mar 13.

Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2

Affiliations

Screening of radiotracer for diagnosis of colorectal cancer liver metastasis based on MACC1-SPON2

Hao Jiang et al. Abdom Radiol (NY). 2021 Jul.

Abstract

Background: Metastasis-associated in colon cancer 1 (MACC1) and Spondin2 (SPON2) are newly discovered oncogenes, but little is known about their role in colorectal cancer(CRC) liver metastases. PET has become an important molecular imaging technology due to its high sensitivity and quantifiability. In particular, its targeted, specific molecular probes can detect biological behaviors. This study was designed to evaluate the different biological properties of 18F-FDG, 18F-FLT, and 18F-FMISO PET. The value of the CRC liver metastasis model explores the correlation and potential mechanisms of three tracers uptakes with tumor-related biological characteristics.

Methods: Human CRC cell lines(LoVo and HCT8), were cultured for in vitro radionuclide uptake experiments to compare the molecular imaging features of colorectal cancer cells with different metastatic potentials. Two kinds of cells were injected into the spleen of nude mice to establish a liver metastasis model. After the tumor formation, three kinds of tracer PET images were performed to evaluate the characteristics of live PET imaging of high and low liver metastasis colorectal cancer models. The expression levels of MACC1 and SPON2 in tissues were detected by immunohistochemistry and Western blot. Correlation between tracer uptake and expression of MACC1 and SPON2 in liver metastases was assessed by linear regression analysis.

Results: The uptake rate of in vitro three tracers uptake experiments was LoVo > HCT8. Micro-PET scan showed no significant difference between the 18F-FDG SUV values of the two cells (P > 0.05); there was significant difference between the 18F-FLT and 18F-FMISO SUV values (P < 0.05). All in vivo FLT and FMISO SUV values were significantly higher in LoVo tumors than in HCT8 tumors. The results of Western blot and immunohistochemistry showed that the expression levels of MACC1 and SPON2 in LoVo liver metastasis were higher than those in HCT8 (P < 0.05). The 18F-FLT SUVmax ratio was significantly correlated with the expression of MACC1 and SPON2 in hepatic metastases (r = 0.737, P = 0.0026; r = 0.842, P = 0.0002). The 18F-FMISO SUVmax ratio was only significantly correlated with the expression of MACC1 in hepatic metastasis (r = 0.770, P = 0.0013).

Conclusions: Early screening with 18F-FLT and 18F-FMISO tracers has important clinical value for the efficient diagnosis and treatment of colorectal cancer liver metastases.

Keywords: 18F-FDG; 18F-FLT; 18F-FMISO; Biological characteristics; Colorectal cancer liver metastasis; PET.

PubMed Disclaimer

Conflict of interest statement

All authors declare that they have no any conflict of interests.

Figures

Fig. 1
Fig. 1
18F-FDG, 18F-FLT, and 18F-FMISO PET images of LoVo and HCT8 liver metastasis models and their corresponding liver anatomical images after 8 weeks of spleen injection of tumor cells. Yellow arrows indicate uptake of 18F-FDG, 18F-FLT, and 18F-FMISO in LoVo and HCT8 liver metastasis lesions; white nodules indicate liver metastases. It can be seen that the edge of liver metastasis lesions in 18F-FMISO Micro-PET imaging is clear, and the boundary between the liver and the surrounding organs is clear, and the degree of recognition is high. The edge of liver metastasis lesions in 18F-FLT Micro-PET imaging is blurred, intestinal tube, bladder, etc. The organ intake was higher and the recognition was relatively low. In the 18F-FDG Micro-PET imaging, the liver and metastases were relatively insignificant due to the high intake of the mouse head and heart
Fig. 2
Fig. 2
Between three tracer (18F-FDG, 18F-FLT, 18F-FMISO) PET parameter values (SUVmax, SUVmax ratio) in the LoVo (n = 9) and HCT8 (n = 7) liver metastasis models Compare, ****P < 0.0001
Fig. 3
Fig. 3
Immunohistochemical staining of human colorectal cancer LoVo and HCT8 liver metastases reflecting the level of protein expression as a result of yellow staining. The results showed that MACC1 was mainly expressed in the cytoplasm of two kinds of cellular liver metastasis tissues; SPON2 was expressed in both cytoplasm and cell membrane. The expressions of MACC1 and SPON2 in LoVo liver metastasis were significantly higher than those in HCT8 (× 400)
Fig. 4
Fig. 4
Western blot quantitative analysis of SPON2 and MACC1 in LoVo and HCT8 liver metastases, using independent sample t-test to analyze the differences between the two proteins (***P = 0.0003, ****P < 0.0001)
Fig. 5
Fig. 5
Correlation analysis between MACC1 and SPON2 and three tracers in LoVo and HCT8 liver metastases (n = 14). a There was a significant positive correlation between MACC1 expression and expression of 18F-FLT SUVmax ratio and 18F-FMISO SUVmax ratio in liver metastasis. b There was a significant positive correlation between the expression of SPON2 in liver metastases and the expression of 18F-FLT SUVmax ratio
Fig. 6
Fig. 6
Correlation between MACC1 and SPON2 protein expression. Linear regression analysis showed a significant positive correlation between MACC1 and SPON2 (r = 0.763, P = 0.0015)

Similar articles

Cited by

References

    1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J] CA Cancer J Clin. 2018;68(6):394–424. doi: 10.3322/caac.21492. - DOI - PubMed
    1. Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality[J].Gut. 2017;66(4):683–91. - PubMed
    1. Bae SH, Moon SK, Kim YH, Cho KH, Shin EJ, Lee MS, et al. Feasibility and response of helical tomotherapy in patients with metastatic colorectal cancer[J] Radiat Oncol J. 2015;33(4):320–327. doi: 10.3857/roj.2015.33.4.320. - DOI - PMC - PubMed
    1. Kawai K, Tamura K, Sakata I, Ishida J, Nagata M, Tsukada H, et al. A new in vivo model to analyze hepatic metastasis of the human colon cancer cell line HCT116 in NOD/Shi-scid/IL-2Rgamma(null) (NOG) mice by (18)F-FDG PET/CT[J] Oncol Rep. 2013;29(2):464–468. doi: 10.3892/or.2012.2141. - DOI - PubMed
    1. Cheng Z, Wei R, Wu C, Qing H, Jiang X, Lu H, et al. Ex-vivo biodistribution and micro-PET/CT imaging of 18F-FDG, 18F-FLT, 18F-FMISO, and 18F-AlF-NOTA-PRGD2 in a prostate tumor-bearing nude mouse model[J] Nucl Med Commun. 2015;36(9):914–921. doi: 10.1097/MNM.0000000000000339. - DOI - PubMed

Publication types

Substances