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Value of 18F-FDG PET/CT metabolic parameters combined with serum CEA, CA19-9, and CA72-4 level in the prediction of microsatellite instability in colorectal cancer

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Author:
No author available
Journal Title:
International Journal of Radiation Medicine and Nuclear Medicine
Issue:
6
DOI:
10.3760/cma.j.cn121381-202305018-00400
Key Word:
结直肠肿瘤;正电子发射断层显像术;体层摄影术,X线计算机;氟脱氧葡萄糖F18;微卫星不稳定性;Colorectal neoplasms;Microsatellite instability;Positron-emission tomography;Tomography, X-ray computed;Fluorodeoxyglucose F18

Abstract: Objective:To investigate the importance of 18F-fluorodeoxyglucose ( 18F-FDG) PET/CT metabolic parameters combined with serum carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 19-9, and CA72-4 levels in the prediction of microsatellite instability (MSI) status in patients with colorectal cancer (CRC). Methods:A retrospective analysis of 96 patients (62 males and 34 females, aged (60.1±13.8) years) who underwent 18F-FDG PET/CT examination and were confirmed as colorectal cancer (CRC) via postoperative histopathology at the First Affiliated Hospital of Zhengzhou University from June 2018 to December 2022 were conducted. The patients were divided into the MSI and microsatellite stability (MSS) groups based on the results of immunohistochemistry. The maximum standardized uptake value (SUV max) and peak standardized uptake value of region of interest (ROI) were measured, and the SUV of ROI set at 2.5 and 40% of the SUV max as thresholds, respectively, to obtain mean standardized uptake value (SUV mean) and SUV mean40%, tumor metabolic volume (MTV) and MTV 40%, and total lesion glycolysis (TLG) and TLG 40%. Two independent sample student's t and Mann-Whitney U tests were conducted for the comparison of differences in the measurement data between groups. Statistical data were compared using χ2 test. The independent predictor of MSI status was analyzed via multivariate Logistic regression. The metabolic parameters and serum tumor markers in the prediction of MSI status were analyzed using the receiver operating characteristic curve. Results:Of 96 patients, 78 (81.25%) and 18 (18.75%) were in the MSI and MSS groups, respectively. Significant differences were observed in tumor primary location, differentiation degree and serum levels of CEA, CA19-9, and CA72-4 between the MSS and MSI groups ( χ2=4.287, 5.103, Z=-3.467 to -2.412; all P<0.05). In addition, the MSI group exhibited significantly higher MTV 40% and TLG 40% values than the MSS group (27.03(12.07, 53.15) vs.13.39 (8.35, 21.46), 294.19(140.79, 679.66) vs. 141.36(81.11, 276.12)), and the differences were statistically significant ( Z=-2.351, -2.104; both P<0.05). Multivariate Logistic regression analysis revealed that CA72-4 level ( OR=1.147, 95% CI: 1.048-1.255, P=0.003), TLG 40% ( OR=1.092, 95% CI: 1.004-1.187, P=0.041) and MTV 40% ( OR=0.568, 95% CI: 0.345-0.936, P=0.026) was an independent predictor of MSI status in CRC patients. When CA72-4 level combined with MTV 40% predicted MSI status, the area under the curve (AUC) was 0.79(95% CI: 0.643-0.926, P<0.001), sensitivity was 72%, specificity was 87%. When CA72-4 level combined with TLG 40% were used to predict MSI status, the AUC was 0.81(95% CI: 0.676-0.933, P<0.001), and the sensitivity and specificity were 67% and 92%, respectively. When CA72-4 level combined with MTV 40% and TLG 40% were used to predict MSI status, the AUC was 0.98(95% CI: 0.931-0.999, P<0.001), and the sensitivity and specificity respectively reached 94% and 98%. Conclusions:MTV 40%, TLG 40%, and serum CA72-4 level can be applied in the prediction of the MSI status in CRC. The use of 18F-FDG PET/CT metabolic parameters combined with serum tumor markers can achieve the noninvasive assessment of MSI status in patients with CRC for improved guidance on the immunotherapy .

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