1.Prognosis model of breast cancer immune-related genes based on TCGA database
Wenlong LI ; Huiyan SI ; Siqi LV ; Jingruo LI
Chinese Journal of Endocrine Surgery 2021;15(5):478-482
Objective:To study the relationship between differential expression of immune-related genes in breast cancer and tumor prognosis, and to find potential immunotherapy targets.Methods:Breast cancer transcriptome and the clinical data corresponding to the patient were downloaded from the TCGA database, bioinformatics methods were used to screen out the differentially expressed genes in cancer tissues, ImmPort database was combined to screen out the immunity closely related to the overall survival of the patient Gene, and COX regression was used to construct a risk scoring model for prognostic evaluation and evaluates its predictive ability.Results:A total of 2499 differentially expressed genes were found in breast cancer and adjacent tissues, and 138 differentially expressed immune-related genes were further screened. Single-factor COX analysis showed that 9 immune genes were related to prognosis, and multi-factor COX analysis screened 6 immune-related genes as independent risk factors for prognosis to construct a risk scoring model. COX regression analysis of clinical characteristics showed that the patient's risk value was an independent prognostic factor ( P<0.05) . Conclusions:There are multiple differentially expressed immune genes in breast cancer. These genes are closely related to the prognosis of patients. The risk scoring model constructed based on these immune genes can effectively predict the prognosis of patients and provide new potential therapeutic targets for breast cancer immunotherapy.
2.The Biocompatibility of Multi-Source Stem Cells and GelatinCarboxymethyl Chitosan-Sodium Alginate Hybrid Biomaterials
Xinzhe WANG ; Siqi LI ; Honglian YU ; Jianzhi LV ; Minglun FAN ; Ximing WANG ; Xin WANG ; Yanting LIANG ; Lingna MAO ; Zhankui ZHAO
Tissue Engineering and Regenerative Medicine 2022;19(3):491-503
BACKGROUND:
Nowadays, biological tissue engineering is a growing field of research. Biocompatibility is a key indicator for measuring tissue engineering biomaterials, which is of great significance for the replacement and repair of damaged tissues.
METHODS:
In this study, using gelatin, carboxymethyl chitosan, and sodium alginate, a tissue engineering material scaffold that can carry cells was successfully prepared. The material was characterized by Fourier transforms infrared spectroscopy. In addition, the prepared scaffolds have physicochemical properties, such as swelling ratio, biodegradability.we observed the biocompatibility of the hydrogel to different adult stem cells (BMSCs and ADSCs) in vivo and in vitro. Adult stem cells were planted on gelatin-carboxymethyl chitosan-sodium alginate (Gel/SA/CMCS) hydrogels for 7 days in vitro, and the survival of stem cells in vitro was observed by live/died staining. Gel/SA/CMCS hydrogels loaded with stem cells were subcutaneously transplanted into nude mice for 14 days of in vivo culture observation. The survival of adult stem cells was observed by staining for stem cell surface markers (CD29, CD90) and Ki67.
RESULTS:
The scaffolds had a microporous structure with an appropriate pore size (about 80 lm). Live/died staining showed that adult stem cells could stably survive in Gel/SA/CMCS hydrogels for at least 7 days. After 14 days of culture in nude mice, Ki67 staining showed that the stem cells supported by Gel/SA/CMCS hydrogel still had high proliferation activity.
CONCLUSION
Gel/SA/CMCSs hydrogel has a stable interpenetrating porous structure, suitable swelling performance and degradation rate, can promote and support the survival of adult stem cells in vivo and in vitro, and has good biocompatibility. Therefore, Gel/SA/CMCS hydrogel is a strong candidate for biological tissue engineering materials.