1.Meta analysis of the association between CYP11 B2 gene polymorphism and left ventricle hypertrophy
Dong LIU ; Yongqiang LAI ; Jinhua LI ; Nengbao WEI ; Jiang DAI ; Wenjian JIANG
Chinese Journal of Thoracic and Cardiovascular Surgery 2013;(1):18-23
Objective To investigate the association between CYP11 B2 gene polymo-rphism and left ventricle hypertrophy with meta analysis.Methods Literatures about the association of CYP11 B2 gene polymorphism and left ventricle hypertrophy from January 1992 to December 2011 were searched.The electronic databases retrieved from Pubmed,Embase,China national knowledge intemet,Chinese biological medicine disk,VIP fulltext database and Wanfang fulltext database.Odds ratio of CYP11 B2 genotype distributions in left ventricle hypertrophy patients comparing with healthy control were analyzed.RevMan5.1 software was applied for investigating hereogeneity among individual studies and summarizing effects with proper statistical methods.Six case control studies were enrolled.Results A total of 541 cases and 553 controls were enrolled for the study.The pooled OR of CC vs TT + TC genotype was 1.15 (95% CI:0.74 ~ 1.80) (Z =0.63,P =0.53) in the subgroup of hypertension,and the pooled OR of CC vs TT + TC genotype was 1.15 (95 % CI:0.74 ~ 1.80) (Z =0.63,P =0.53) in the subgroup of race.The pooled OR of C vs T allele was 1.15 (95% CI:0.76 ~ 1.74) vs 0.87 (95% CI:0.58 ~ 1.31) (Z =0.67,P =O.50).Conclusion Whether the hypertension or the race,the genotype of CYP11 B2 polymorphism has no association with an increased risk of left ventricle hypertrophy.
2.Isolation and identification of cancer stem-like cells from side population of human prostate cancer cells.
Yatong, CHEN ; Jiahui, ZHAO ; Yong, LUO ; Yongxing, WANG ; Nengbao, WEI ; Yongguang, JIANG
Journal of Huazhong University of Science and Technology (Medical Sciences) 2012;32(5):697-703
It has been widely verified by various sorting methods that cancer stem cells (CSCs) exist in different types of tumor cells or tissues. However, due to lack of specific stem cell surface markers, CSCs are very difficult to be separated from some cancer cells, which becomes the key barrier of functional studies of CSCs. The sorting method by side population cells (SP) lays a solid foundation for in-depth and comprehensive study of CSCs. To identify the existence of SP in prostate cancer cell lines, we applied flow cytometry sorting by SP to cultures of prostate cancer cell lines (TSU, LnCap, and PC-3), and the cancer stem-like characteristics of SP were verified through experiments in vitro and in vivo. The proportion of SP in TSU cells was calculated to be 1.60%±0.40% [Formula: see text], and that in PC-3 and LnCap cells was calculated to be 0.80%±0.05% and 0.60%±0.20%, respectively. The colony formation assay demonstrated that the colony formation rate of SP to non-SP sorted from TSU via flow cytometry was 0.495±0.038 to 0.177±0.029 in 500 cells, 0.505±0.026 to 0.169±0.024 in 250 cells, and 0.088±0.016 to 0.043±0.012 in 125 cells respectively. In the in vivo experiments, tumors were observed in all the mice on the 10th day after injecting 50 000 cells subcutaneously in SP group, whereas when 5×10(6) cells were injected in non-SP group, tumors were developed in only 4 out of 8 mice until the 3rd week before the end of the experiment. Our results revealed that prostate cancer cells contain a small subset of cells, called SP, possessing much greater capacity of colony formation and tumorigenic potential than non-SP. These suggest that SP in prostate cancer cells may play a key role in the self-renewal and proliferation, and have the characteristics of cancer stem-like cells. Dissecting these features will provide a new understanding of the function of prostate CSCs in tumorigenicity and transformation.
3.Isolation and identification of cancer stem-like cells from side population of human prostate cancer cells.
Yatong CHEN ; Jiahui ZHAO ; Yong LUO ; Yongxing WANG ; Nengbao WEI ; Yongguang JIANG
Journal of Huazhong University of Science and Technology (Medical Sciences) 2012;32(5):697-703
It has been widely verified by various sorting methods that cancer stem cells (CSCs) exist in different types of tumor cells or tissues. However, due to lack of specific stem cell surface markers, CSCs are very difficult to be separated from some cancer cells, which becomes the key barrier of functional studies of CSCs. The sorting method by side population cells (SP) lays a solid foundation for in-depth and comprehensive study of CSCs. To identify the existence of SP in prostate cancer cell lines, we applied flow cytometry sorting by SP to cultures of prostate cancer cell lines (TSU, LnCap, and PC-3), and the cancer stem-like characteristics of SP were verified through experiments in vitro and in vivo. The proportion of SP in TSU cells was calculated to be 1.60%±0.40% [Formula: see text], and that in PC-3 and LnCap cells was calculated to be 0.80%±0.05% and 0.60%±0.20%, respectively. The colony formation assay demonstrated that the colony formation rate of SP to non-SP sorted from TSU via flow cytometry was 0.495±0.038 to 0.177±0.029 in 500 cells, 0.505±0.026 to 0.169±0.024 in 250 cells, and 0.088±0.016 to 0.043±0.012 in 125 cells respectively. In the in vivo experiments, tumors were observed in all the mice on the 10th day after injecting 50 000 cells subcutaneously in SP group, whereas when 5×10(6) cells were injected in non-SP group, tumors were developed in only 4 out of 8 mice until the 3rd week before the end of the experiment. Our results revealed that prostate cancer cells contain a small subset of cells, called SP, possessing much greater capacity of colony formation and tumorigenic potential than non-SP. These suggest that SP in prostate cancer cells may play a key role in the self-renewal and proliferation, and have the characteristics of cancer stem-like cells. Dissecting these features will provide a new understanding of the function of prostate CSCs in tumorigenicity and transformation.
Cell Line, Tumor
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Humans
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Male
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Neoplastic Stem Cells
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pathology
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Prostatic Neoplasms
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pathology
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Side-Population Cells
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pathology