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Predictive value of intratumoral-metabolic heterogeneity derived from 18F-FDG PET/CT in distinguishing microsatellite instability status of colorectal carcinoma

Li Zhang, Yu Liu, Ying Ding, Yinqian Deng, Huanyu Chen, Fan Hu, Jun Fan, Xiaoli Lan, Wei Cao

2023Frontiers in Oncology20 citationsDOIOpen Access PDF

Abstract

Purpose/background Microsatellite instability (MSI) status is a significant biomarker for the response to immune checkpoint inhibitors, response to 5-fluorouracil-based adjuvant chemotherapy, and prognosis in colorectal carcinoma (CRC). This study investigated the predictive value of intratumoral-metabolic heterogeneity (IMH) and conventional metabolic parameters derived from 18 F-FDG PET/CT for MSI in patients with stage I–III CRC. Methods This study was a retrospective analysis of 152 CRC patients with pathologically proven MSI who underwent 18 F-FDG PET/CT examination from January 2016 to May 2022. Intratumoral-metabolic heterogeneity (including heterogeneity index [HI] and heterogeneity factor [HF]) and conventional metabolic parameters (standardized uptake value [SUV], metabolic tumor volume [MTV], and total lesion glycolysis [TLG]) of the primary lesions were determined. MTV and SUV mean were calculated on the basis of the percentage threshold of SUVs at 30%–70%. TLG, HI, and HF were obtained on the basis of the above corresponding thresholds. MSI was determined by immunohistochemical evaluation. Differences in clinicopathologic and various metabolic parameters between MSI-High (MSI-H) and microsatellite stability (MSS) groups were assessed. Potential risk factors for MSI were assessed by logistic regression analyses and used for construction of the mathematical model. Area under the curve (AUC) were used to evaluate the predictive ability of factors for MSI. Results This study included 88 patients with CRC in stages I–III, including 19 (21.6%) patients with MSI-H and 69 (78.4%) patients with MSS. Poor differentiation, mucinous component, and various metabolic parameters including MTV 30% , MTV 40% , MTV 50% , and MTV 60% , as well as HI 50% , HI 60% , HI 70% , and HF in the MSI-H group were significantly higher than those in the MSS group (all P < 0.05). In multivariate logistic regression analyses, post-standardized HI 60% by Z-score ( P = 0.037, OR: 2.107) and mucinous component ( P < 0.001, OR:11.394) were independently correlated with MSI. AUC of HI 60% and our model of the HI 60% + mucinous component was 0.685 and 0.850, respectively ( P = 0.019), and the AUC of HI 30% in predicting the mucinous component was 0.663. Conclusions Intratumoral-metabolic heterogeneity derived from 18 F-FDG PET/CT was higher in MSI-H CRC and predicted MSI in stage I–III CRC patients preoperatively. HI 60% and mucinous component were independent risk factors for MSI. These findings provide new methods to predict the MSI and mucinous component for patients with CRC.

Topics & Concepts

Microsatellite instabilityColorectal cancerMedicineStandardized uptake valueInternal medicineOncologyBiomarkerLogistic regressionCarcinomaCancerPositron emission tomographyPathologyNuclear medicineBiologyMicrosatelliteAlleleBiochemistryGeneGenetic factors in colorectal cancerMedical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical Imaging
Predictive value of intratumoral-metabolic heterogeneity derived from 18F-FDG PET/CT in distinguishing microsatellite instability status of colorectal carcinoma | Litcius