1.Research advances in stereotactic body radiation therapy for primary liver cancer
Jinlong TONG ; Qin ZHENG ; Xinchen SUN
Chinese Journal of Radiation Oncology 2017;26(2):234-238
Stereotactic body radiation therapy (SBRT) adopts different tumor-killing mechanisms from the conventional fractionated radiotherapy.In SBRT,a single high-dose radiation can destroy the membrane of tumor cells and induce the release of tumor-associated antigen,also named in situ tumor vaccine,which stimulates the immune system to kill the residual tumor;a single-fraction radiation with a dose larger than 8-10 Gy can induce rapid apoptosis of vascular endothelial cells via the acid sphingomyelinase pathway at 1-6 hours after radiation,which causes tumor vascular occlusion and secondary tumor-killing effects.In order to understand whether SBRT improves the clinical treatment outcomes via the above mechanisms,this paper reviews the clinical research advances in SBRT for primary liver cancer.
2.Mechanism of radiosensitization effect of berberine on human nasopharyngeal carcinoma in hypoxia
Chi ZHANG ; Qu ZHANG ; Xi YANG ; Baixia YANG ; Qin QIN ; Hongcheng ZHU ; Jia LIU ; Xinchen SUN
Chinese Journal of Radiological Medicine and Protection 2014;(9):663-667
Objective To investigate the radiosensitiation effect of berberine on human nasopharyngeal carcinoma ( NPC) in hypoxia condition and explore the underlying mechanisms. Methods MTT assay, clonogenic assay and flow cytometry were performed to analyze cell proliferation, colony formation and apoptosis, respectively. Male nude mice inoculated subcutaneously with CNE-2 cells were used to examine the radiosensitization effect of berberine in vivo. The expressions of HIF-1α and VEGF were assessed by Western blot. Results Berberine efficiently inhibited the proliferation of CNE-2 cells in time-dependent and dose-dependent fashions with an IC50 of ( 14?9 ± 2?2 ) μmol/L. Clonogenic survival assay showed that berberine ( 5 μmol/L ) sensitized CNE-2 cells to ionizing radiation in hypoxia and its SERD0 was 1?27. Under hypoxic condition, berberine alone (5, 15 μmol/L) could induce apoptosis (t=5?01, 9?02,P<0?05) and it further promoted 8 Gy radiation-induced apoptosis (t =5?31, 9?91,P <0?05). Moreover, berberine significantly delayed the tumor growth in the combination group (berberine +irradiation) compared with the mice received irradiation alone or PBS (t =2?96, 14?52, P <0?05). Immunobloting assay showed that berberine inhibited the upregulation of HIF-1α and VEGF induced by hypoxia in CNE-2 cells. Conclusion Berberine confers radiosensitivity on hypoxic NPC in vitro and in vivo, which is probably associated with the downregulation of HIF-1α and VEGF expressions.
3.Dosiomics-based prediction of the occurrence of bone marrow suppression in patients with pelvic tumors
Yanchun TANG ; Jingyi TANG ; Jinkai LI ; Qin QIN ; Hualing LI ; Zhigang CHANG ; Tianyu ZHANG ; Yaru PANG ; Xinchen SUN
Chinese Journal of Radiation Oncology 2024;33(7):620-626
Objective:To assess the predictive value of dosiomics in predicting the occurrence of bone marrow suppression (BMS) in patients with pelvic tumors during radiotherapy.Methods:A retrospective analysis was conducted on the clinical data and radiotherapy planning documents of 129 patients with pelvic region tumors who underwent radiotherapy at the First Affiliated Hospital of Nanjing Medical University from January 2019 to January 2023. The region of interest (ROI) was outlined for bone marrow in the pelvic region by Accu Contour software in planning CT, and the ROI was exported together with the dose distribution file. According to a stratified randomization grouping method, the patients were divided into the training set and test set in an 8 vs. 2 ratio. The dosiomic features were extracted from the ROI, and the two independent samples t-test and the least absolute shrinkage and selection operator (LASSO) algorithm was employed to identify the best predictive characteristics. Subsequently, the dosiomic scores were calculated. Clinical predictors were identified through both univariant and multivariate logistic regression analyses. Predictive models were constructed by using clinical predictors alone and combining clinical predictors and dosiomic scores. The efficacy of predictive model was assessed by plotting the receiver operating characteristic (ROC) curve and evaluating its performance through the area under the ROC curve (AUC), the calibration curve, and decision curve analysis (DCA). Results:Fourteen dosiomic features that showed a strong correlation with the occurrence of BMS were screened and utilized to calculate the dosiomic scores. Based on both univariant and multivariate logistic regression analyses, chemotherapy, planning target volume (PTV) and V 5 Gy were identified as clinical predictors. According to the combined model, the AUC values for the training set and test set were 0.911 and 0.868, surpassing those of the clinical model (AUC=0.878 and 0.824). Furthermore, the analysis of both the calibration curve and DCA suggested that the combined model had higher calibration and net clinical benefit. Conclusion:The combined model has a high diagnostic value for predicting BMS in patients with pelvic tumors during radiotherapy.
4.Progress in the Study of Spindle Assembly Checkpoint in Lung Cancer.
Xinchen QIN ; Yao ZHANG ; Haijie YU ; Lijuan MA
Chinese Journal of Lung Cancer 2023;26(4):310-318
Spindle assembly checkpoint (SAC) is a protective mechanism for cells to undergo accurate mitosis. SAC prevented chromosome segregation when kinetochores were not, or incorrectly attached to microtubules in the anaphase of mitosis, thus avoiding aneuploid chromosomes in daughter cells. Aneuploidy and altered expression of SAC component proteins are common in different cancers, including lung cancer. Therefore, SAC is a potential new target for lung cancer therapy. Five small molecule inhibitors of monopolar spindle 1 (MPS1), an upstream component protein of SAC, have entered clinical trials. This article introduces the biological functions of SAC, summarizes the abnormal expression of SAC component proteins in various cancers and the research progress of MPS1 inhibitors, and expects to provide a reference for the future development of lung cancer therapeutic strategies targeting SAC components.
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Humans
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Cell Cycle Proteins/metabolism*
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Spindle Apparatus/metabolism*
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Protein Serine-Threonine Kinases/metabolism*
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M Phase Cell Cycle Checkpoints/genetics*
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Lung Neoplasms/metabolism*