1.Construction and analysis of a predictive model for chemotherapy response of patients with colorectal cancer based on tissue chip technology
Linghua CONG ; Guoping ZHONG ; Zuguo YUAN ; Ying REN ; Gun CHEN ; Laifu FANG ; Ping LI
Chinese Journal of Endocrine Surgery 2023;17(3):307-311
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.
2. Relationship between expression of BRAFV600E and Ki67 protein and clinical pathologic characteristics of thyroid carcinoma
Gun CHEN ; Linghua CONG ; Laifu FANG ; Shiling ZHANG
Chinese Journal of Primary Medicine and Pharmacy 2018;25(11):1467-1470
Objective:
To explore the relationship between BRAFV600E, Ki67 protein and thyroid carcinoma with different pathologic characteristics, thus to provide clinical evidence on early prognosis and personalized treatment in patients with thyroid carcinoma.
Methods:
From January 2015 to January 2017, 76 patients diagnosed as papillary thyroid carcinoma(PTC), who treated in Yinzhou People's Hospital, were enrolled.Twenty cases with normal tumor-adjacent tissue after operation and 34 patients with non-PTC were also enrolled as control.All the patients enrolled were not treated with endocrine, chemical and radiotherapy.The expression of BRAFV600E and Ki67 protein was detected by immunohistochemical method, and the BRAFV600E and Ki67 expression and their correlation with different pathologic characteristic of thyroid carcinoma was analyzed by SPSS 18.0.
Results:
The positive rate of BRAFV600E and Ki67 protein in 110 patients with thyroid carcinoma was 56.36%(62 cases) and 39.09%(43 cases), with the highest expression of BRAFV600E and the lowest expression of Ki67 in patients with PTC respectively.The expression of BRAFV600E and Ki67 protein was all negative in normal tumor-adjacent tissue.The positive expression of BRAFV600E and Ki67 in patients with PTC demonstrated significant difference in TNM stage, tumor side and lymphoid node metastasis(BRAFV600E: χ2=5.281, 9.771, 9.771, all