ABSTRACT
Objective:To explore the prediction model of tissue chip technology for the chemotherapy response of patients with colorectal cancer.Methods:217 patients with colorectal cancer who had received standardized chemotherapy in the Affiliated People’s Hospital of Ningbo University from Jan. 2017 to Dec. 2019 were prospectively selected. The patients were randomly divided into training set (152 cases) and test set (65 cases) according to the ratio of 7:3, and were followed up for 6 months. The clinical data of the patients in the training set were compared, the expression levels of Ang-2, caspase-3 and CD147 in the patients were analyzed by tissue microarray technology, and the related factors affecting the responsiveness of colorectal cancer chemotherapy were analyzed by the Logistic regression model. R software was used based on the training set. A nomogram prediction model was built and model performance on the test set was evaluated.Results:One case was excluded from the training center, and 151 cases were finally included, including 93 cases in the chemotherapy response group and 58 cases in the chemotherapy response group. The tumor diameter, serum carcinoembryonic antigen, caspase3, Ang2 expression level, and the proportion of clinical stage IV in the poor chemotherapy group were significantly higher than those in the good chemotherapy group (all P<0.05) ; Logistic regression showed tumor diameter ( OR=2.394), serum carcinoembryonic antigen ( OR=1.878), caspase-3 ( OR=4.261), Ang-2 expression level ( OR=5.457), and clinical stage IV ( OR=5.954) were independent risk factors for adverse drug reactions in patients with colorectal cancer (all P<0.05). The consistency index (C-index) for predicting the factors related to adverse chemotherapy reactions in patients with colorectal cancer was 0.915. External verification showed that the sensitivity was 86.96%, the specificity was 92.50%, and the accuracy was 90.48% (42/65) . Conclusion:The expression levels of Ang-2 and caspase-3 are correlated with the responsiveness of colorectal cancer to chemotherapy, and can be used as predictive indicators to evaluate the responsiveness of colorectal cancer to chemotherapy.
ABSTRACT
OBJECTIVE: To assess clinical value of fluorine-18-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) for differentiation of malignant from benign focal thyroid incidentaloma. MATERIALS AND METHODS: This retrospective study included 99 patients with focal thyroid incidentaloma of 5216 non-thyroid cancer patients that had undergone PET/CT. PET/CT semi-quantitative parameters, volume-based functional parameters, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of thyroid incidentaloma were assessed. Receiver-operating characteristic (ROC) analysis was conducted and areas under the curve (AUC) were compared by Hanley and McNeil test to evaluate usefulness of maximum standardized uptake value (SUVmax), MTV and TLG, as markers for differentiating malignant from benign thyroid incidentalomas. RESULTS: Of 99 thyroid incidentalomas, 64 (64.6%) were malignant and 35 (35.4%) were benign. Malignant thyroid incidentalomas were larger (1.8 cm vs. 1.3 cm, p = 0.006), and had higher SUVmax (11.3 vs. 4.8, p 0.05). A threshold TLG 4.0 of 2.475 had 81.3% sensitivity and 94.3% specificity for identifying malignant thyroid incidentalomas. CONCLUSION: Volume-based PET/CT parameters could potentially have clinical value in differential diagnosis of thyroid incidentaloma along with SUVmax.