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- 저자 : Mengchao Ding (검색결과 2 건)
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Mengchao Ding,Xiaoying Kong,Weiyan Chen,Lei Yan,He Huang,Zunzhou Lv,Peng Jiang,Ali Mu,Congcong Huang,Jinsheng Shi 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-
Single cancer starvation therapy (ST) strategy can’t achieve satisfactory anti-tumor effect, mainly due tothe diversified nutritional sources of tumor cells. Herein, CuS@Axitinib-SiO2@2-Deoxy-D-glucose(2-DG)-CaCO3-RGD nanoparticles (CADCR NPs) were prepared for three-pathway blocking for efficient starvationtherapy as well as reinforced photothermal therapy (PTT) and chemodynamic therapy (CDT). AfterCADCR NPs were targeted to tumor cells, CaCO3 was ruptured in the acidic environment, releasingCa2+ to chelate glutamine and cutting off the glutamine metabolic pathway of the tumor. 2-DG was alsoreleased from mesoporous SiO2 and restrained the glycolytic pathway of tumor cells. In addition, underthe thermal stimulus of near-infrared irradiation, axitinib was released from CuS NPs, which inhibited theproliferation of tumor blood vessels, ultimately inhibiting the aerobic respiratory pathway of tumor cells. Interestingly, CADCR NPs also showed potential to reshape the tumor microenvironment (TME) and promotedthe transformation of macrophages from M2 to M1 type, increasing the expression of CD8+ T cellsin the tumor site. In conclusion, CADCR NPs achieve severe tumor starvation by simultaneously interferingwith three energy metabolic pathways, and further enhance tumor treatment with the aid of PTT,CDT, and TME improvement, which exhibits great potential for clinical cancer therapy.
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Xu Kai,Liu Lin,Li Wenhui,Sun Xiaoqing,Shen Tongxu,Pan Feng,Jiang Yuqing,Guo Yan,Ding Lei,Zhang Mengchao 대한영상의학회 2020 Korean Journal of Radiology Vol.21 No.6
Objective: The presence of coagulative necrosis (CN) in clear cell renal cell carcinoma (ccRCC) indicates a poor prognosis, while the absence of CN indicates a good prognosis. The purpose of this study was to build and validate a radiomics signature based on preoperative CT imaging data to estimate CN status in ccRCC. Materials and Methods: Altogether, 105 patients with pathologically confirmed ccRCC were retrospectively enrolled in this study and then divided into training (n = 72) and validation (n = 33) sets. Thereafter, 385 radiomics features were extracted from the three-dimensional volumes of interest of each tumor, and 10 traditional features were assessed by two experienced radiologists using triple-phase CT-enhanced images. A multivariate logistic regression algorithm was used to build the radiomics score and traditional predictors in the training set, and their performance was assessed and then tested in the validation set. The radiomics signature to distinguish CN status was then developed by incorporating the radiomics score and the selected traditional predictors. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive performance. Results: The area under the ROC curve (AUC) of the radiomics score, which consisted of 7 radiomics features, was 0.855 in the training set and 0.885 in the validation set. The AUC of the traditional predictor, which consisted of 2 traditional features, was 0.843 in the training set and 0.858 in the validation set. The radiomics signature showed the best performance with an AUC of 0.942 in the training set, which was then confirmed with an AUC of 0.969 in the validation set. Conclusion: The CT-based radiomics signature that incorporated radiomics and traditional features has the potential to be used as a non-invasive tool for preoperative prediction of CN in ccRCC.
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