1.Retroperitoneal hemangiopericytoma: case report and literature review.
Bo YIN ; Li LIU ; Ya-di LI ; Dao-Ying GENG ; Zun-Guo DU
Chinese Medical Journal 2011;124(1):155-156
Retroperitoneal hemangiopericytoma is a kind of uncommon tumor. We report a case of 41-year-old man who was diagnosed retroperitoneal tumor without significant symptoms by abdominal ultrasonography. Abdominal CT and MRI scans show a 6 cm × 5 cm solid tumor delineated clearly from adjacent organs. Excision of the tumor was performed and the histopathological examination confirmed the diagnosis of hemangiopericytoma.
Adult
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Hemangiopericytoma
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diagnosis
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Humans
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Male
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Retroperitoneal Neoplasms
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diagnosis
2.Anti-proliferative and anti-metastatic effects of curcumin on oral cancer cells.
Jiao-wen CHEN ; Ya-ling TANG ; Hong LIU ; Zhi-yu ZHU ; Di LÜ ; Ning GENG ; Yu CHEN
West China Journal of Stomatology 2011;29(1):83-86
OBJECTIVEThe purpose of this article is to examine the effect of curcumin on the proliferation and metastasis of human tongue squamous cell carcinoma and analyze its mechanism.
METHODSSCC-4 were treated with curcumin of 0, 5, 10, 20, 30, 60, 100 micromol x L(-1) in 24 h. MTT assay, Matrigel invasion assay, flow cytometry and fluorescence microscopy were used to examine the effect of curcumin on the growth and metastasis of SCC-4. cDNA microarray and RT-PCR were employed to analyze the expression of genes treated by curcumin.
RESULTSThe results showed that curcumin could concentration-dependently inhibit SCC-4 cell proliferation at the concentration range from 20 to 100 micromol x L(-1). Furthermore, Matrigel invasion assay indicated that curcumin can reduce SCC-4 cell invasion under the dosage of 20, 30, 60 micromol x L(-1). Flow cytometry also showed that curcumin can influence the distribution of cell cycle of SCC-4 cell with the dosage of 20, 30, 60 micromol x L(-1). And the dosage of 30 micromol x L(-1) curcumin could lead to the recruitment of alpha-tubulin. cDNA microarray showed that 87 genes were activated and 198 genes were inhibited with the effect of curcumin. These results were validated by the real time quantitative RT-PCR.
CONCLUSIONAccording to the results, it suggests that curcumin has the potential as the leading compound for anti-cancer proliferation and invasion in oral cancer treatment, and cdc27, EGFR substrate 15, PPAR-alpha and H2A histone may play an important role among this multiple anticancer-targeting ability.
Cell Line, Tumor ; Cell Proliferation ; Curcumin ; Humans ; Mouth Neoplasms
3.Activation and coreceptor expression of T lymphocytes induced by highly active antiretroviral therapy in Chinese HIV/AIDS patients.
Zi-ning ZHANG ; Hong SHANG ; Yong-jun JIANG ; Jing LIU ; Di DAI ; Ying-ying DIAO ; Wen-qing GENG ; Xin JIN ; Ya-nan WANG
Chinese Medical Journal 2006;119(23):1966-1971
BACKGROUNDAt the end of 2005, 650,000 people lived with human immunodeficiency virus type-1 (HIV-1) in China, of whom 75 000 were AIDS patients. Many AIDS patients received highly active antiretroviral therapy (HAART) supported by the "China CARES" program but the immune responses of HAART were seldom reported. This study investigated the effect of HAART on the activation and coreceptor expression of T lymphocytes in Chinese HIV/AIDS patients and evaluated its effect on immune reconstitution.
METHODSSeventeen HIV/AIDS patients were enrolled and three-color-flow cytometry was used to detect the activation of HLA-DR CD38 and the coreceptor CCR5, CXCR4 expression on T lymphocytes in whole blood samples taken from the patients before and after 3- or 6-month HAART.
RESULTSThe activation percents of CD4(+), CD8(+) T lymphocytes were significantly higher before therapy than the normal controls (HLA-DR/CD4: 40.47 +/- 18.85 vs 11.54 +/- 4.10; CD38/CD4: 81.34 +/- 10.86 vs 53.34 +/- 11.44; HLA-DR/CD8: 63.94 +/- 12.71 vs 25.67 +/- 9.18; CD38/CD8: 86.56 +/- 11.41 vs 58.84 +/- 6.16, all P < 0.01). After 6-month combined antiretroviral treatment, the activation of T lymphocytes in HIV/AIDS patients was significantly decreased (HLA-DR/CD4: 28.31 +/- 13.48; CD38/CD4: 69.88 +/- 12.64; HLA-DR/CD8: 46.56 +/- 18.64; CD38/CD8: 70.17 +/- 14.54, all P < 0.01 compared with the pre-treatment values). Before the treatment, CCR5 expression on CD8(+) T lymphocytes was up-regulated while CXCR4 expression on CD8(+) T lymphocytes downregulated in HIV/AIDS patients compared with the normal controls (CD8/CCR5: 70.91 +/- 10.03 vs 52.70 +/- 7.68; CD8/CXCR4: 24.14 +/- 11.08 vs 50.05 +/- 11.68, all P < 0.01). After 6-month HAART, CCR5 expression on CD8(+) T lymphocytes significantly decreased (56.35 +/- 12.96, P < 0.01), while CXCR4 expression on CD8(+) T lymphocytes increased (36.95 +/- 9.96, P < 0.05) compared with the pre-treatment and the normal controls. A significant statistical relationship was observed between the expression of activation markers, CCR5 and the CD4(+) T lymphocyte counts after HAART (P < 0.05).
CONCLUSIONSReduced activation of T lymphocytes and a normalization of coreceptor expression were observed in Chinese HIV/AIDS patients after HAART. Immunity can be restored in HIV/AIDS patients receiving HAART.
Acquired Immunodeficiency Syndrome ; drug therapy ; immunology ; Adult ; Antiretroviral Therapy, Highly Active ; China ; Female ; HIV Infections ; drug therapy ; immunology ; Humans ; Lymphocyte Activation ; drug effects ; physiology ; Male ; Middle Aged ; Receptors, Chemokine ; analysis ; drug effects ; T-Lymphocytes ; immunology
4.Distribution of natural killer cell receptors in HIV infected individuals.
Yong-jun JIANG ; Zi-ning ZHANG ; Ying-ying DIAO ; Wen-qing GENG ; Di DAI ; Jing LIU ; Ya-nan WANG ; Min ZHANG ; Xiao-xu HAN ; Hong SHANG
Chinese Medical Journal 2007;120(17):1544-1548
Antigens, Surface
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analysis
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Antiretroviral Therapy, Highly Active
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CD28 Antigens
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analysis
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CD56 Antigen
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analysis
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HIV Infections
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drug therapy
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immunology
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Humans
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Killer Cells, Natural
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immunology
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Lectins, C-Type
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analysis
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NK Cell Lectin-Like Receptor Subfamily B
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NK Cell Lectin-Like Receptor Subfamily D
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analysis
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Receptors, Immunologic
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analysis
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Receptors, KIR
5.A multicenter comparison study on the quantitative detection of bcr-abl (P210) transcript levels in China.
Ya-zhen QIN ; Hui CHENG ; Jian-nong CEN ; Su-xia GENG ; Qing-hua LI ; Xiao-qing LI ; Zhen-xing LIN ; Dao-xin MA ; Chun QIAO ; Yun-gui WANG ; Jin-lan LI ; Ling-di LI ; Xiao-jun HUANG
Chinese Journal of Hematology 2013;34(2):104-108
OBJECTIVETo investigate the comparability of bcr-abl (P210) transcript levels detected in different hospitals.
METHODSTen hospitals in China took part in the four times of sample exchange and comparisons from April, 2010 to August, 2011. The exchange samples were prepared by Peking University People's Hospital. Firstly, the BCR-ABL (P210)(+) cells from a newly diagnosed chronic myeloid leukemia patient were 10-fold serially diluted by BCR-ABL (P210)(-) cells and they covered 4 magnitudes. Then, TRIzol reagents were thoroughly mixed with cells in each tube. Every 12 samples (three samples per magnitude) were sent to the other 9 hospitals. The cell number of each sample was 8×10(6). The detection of bcr-abl transcript levels by real-time quantitative PCR were performed in every hospital according to their own protocols. Conversion factors (CF) were calculated using regression equation.
RESULTSDifferences in bcr-abl transcript levels did exist among results of 10 hospitals in each comparison. In general, the results of the most of hospitals were in line with the dilutions of cells. CF of every hospital fluctuated. Three hospitals had relatively stable CF, and their ranges were 2.8 - 5.2, 1.2 - 2.8 and 2.2 - 6.8, respectively; two hospitals had unstable CF with ranges 0.76 - 7.0 and 2.1 - 18.7; three hospitals couldn't be calculated CF one or two times because of the significant deviation of the results from the actually bcr-abl transcript levels, and their ranges of CF which could be calculated were 1.9 - 19.2, 3.6 - 7.6 and 0.18 - 14.7; One hospital only had two CF (3.3 and 5.0) because of the replacement of an important reagent during the period of comparisons.
CONCLUSIONSComparability of bcr-abl (P210) transcript levels between different hospitals could be achieved through CF which acquired by sample exchange and comparison. The stable and reliable detection system is the premise to acquire correct CF.
Bone Marrow Cells ; China ; Fusion Proteins, bcr-abl ; genetics ; isolation & purification ; Hospitals ; Humans ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive ; diagnosis ; genetics ; Reverse Transcriptase Polymerase Chain Reaction
6. Effects of Angelica Sinensis polysaccharide on proliferation in vitro and transplantation of human leukemia stem cells in vivo
Fang-Fang DENG ; Shan GENG ; Rong JIANG ; Zi-Ling WANG ; Han-Xian-Zhi XIAO ; Rong-Jia QI ; Cai-Hong HUANG ; Di ZENG ; Geng LI ; Lu WANG ; Ya-Ping WANG
Acta Anatomica Sinica 2021;52(1):41-48
Objective To investigate the effect of Angelica Sinensis polysaccharide (ASP) on proliferation, differentiation and transplantation of human leukemia stem cells (LSCs) . Methods 1. Effect of angelica sinensis polysaccharides on proliferation of CD34
7.β-Elemene induces apoptosis and autophagy in colorectal cancer cells through regulating the ROS/AMPK/mTOR pathway.
Guo-Yu WANG ; Lei ZHANG ; Ya-Di GENG ; Bin WANG ; Xiao-Jun FENG ; Zhao-Lin CHEN ; Wei WEI ; Ling JIANG
Chinese Journal of Natural Medicines (English Ed.) 2022;20(1):9-21
β-Elemene is an effective anti-cancer ingredient extracted from the genus Curcuma (Zingiberaceae familiy). In the present study, we demonstrated that β-elemene inhibited the proliferation of colorectal cancer cells and induced cell cycle arrest in the G2/M phase. In addition, β-elemene induced nuclear chromatin condensation and cell membrane phosphatidylserine eversion, decreased cell mitochondrial membrane potential, and promoted the cleavage of caspase-3, caspase-9 and PARP proteins, indicating apoptosis in colorectal cancer cells. At the same time, β-elemene induced autophagy response, and the treated cells showed autophagic vesicle bilayer membrane structure, which was accompanied by up-regulation of the expression of LC3B and SQSTM1. Furthermore, β-elemene increased ROS levels in colorectal cancer cells, promoted phosphorylation of AMPK protein, and inhibited mTOR protein phosphorylation. In the experiments in vivo, β-elemene inhibited the tumor size and induced apoptosis and autophagy in nude mice. In summary, β-elemene inhibited the occurrence and development of colon cancer xenografts in nude mice, and significantly induced apoptosis and autophagy in colorectal cancer cells in vitro. These effects were associated with regulation of the ROS/AMPK/mTOR signaling. We offered a molecular basis for the development of β-elemene as a promising anti-tumor drug candidate for colorectal cancer.
AMP-Activated Protein Kinases/genetics*
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Animals
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Apoptosis
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Autophagy
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Cell Line, Tumor
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Colorectal Neoplasms/genetics*
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Humans
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Mice
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Mice, Nude
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Reactive Oxygen Species
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Sesquiterpenes
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TOR Serine-Threonine Kinases/genetics*
8.An interlaboratory comparison study on the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels.
Ya Zhen QIN ; Li Wen ZHU ; Shang LIN ; Su Xia GENG ; Sheng Wei LIU ; Hui CHENG ; Cheng Ye WU ; Min XIAO ; Xiao Qing LI ; Rui Ping HU ; Li Li WANG ; Hai Yan LIU ; Dao Xin MA ; Tao GUAN ; Yuan Xin YE ; Ting NIU ; Jian Nong CEN ; Li Sha LU ; Li SUN ; Tong Hua YANG ; Yun Gui WANG ; Tao LI ; Yue WANG ; Qing Hua LI ; Xiao Su ZHAO ; Ling Di LI ; Wen Min CHEN ; Ling Yu LONG ; Xiao Jun HUANG
Chinese Journal of Hematology 2019;40(11):889-894
Objective: To investigate the current status and real performance of the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels in China through interlaboratory comparison. Methods: Peking University People's Hospital (PKUPH) prepared the samples for comparison. That is, the fresh RUNX1-RUNX1T1 positive (+) bone morrow nucleated cells were serially diluted with RUNX1-RUNX1T1 negative (-) nucleated cells from different patients. Totally 23 sets with 14 different samples per set were prepared. TRIzol reagent was added in each tube and thoroughly mixed with cells for homogenization. Each laboratory simultaneously tested RUNX1-RUNX1T1 and WT1 transcript levels of one set of samples by real-time quantitative PCR method. All transcript levels were reported as the percentage of RUNX1-RUNX1T1 or WT1 transcript copies/ABL copies. Spearman correlation coefficient between the reported transcript levels of each participated laboratory and those of PKUPH was calculated. Results: ①RUNX1-RUNX1T1 comparison: 9 samples were (+) and 5 were (-) , the false negative and positive rates of the 20 participated laboratories were 0 (0/180) and 5% (5/100) , respectively. The reported transcript levels of all 9 positive samples were different among laboratories. The median reported transcript levels of 9 positive samples were from 0.060% to 176.7%, which covered 3.5-log. The ratios of each sample's highest to the lowest reported transcript levels were from 5.5 to 12.3 (one result which obviously deviated from other laboratories' results was not included) , 85% (17/20) of the laboratories had correlation coefficient ≥0.98. ②WT1 comparison: The median reported transcript levels of all 14 samples were from 0.17% to 67.6%, which covered 2.6-log. The ratios of each sample's highest to the lowest reported transcript levels were from 5.3-13.7, 62% (13/21) of the laboratories had correlation coefficient ≥0.98. ③ The relative relationship of the reported RUNX1-RUNX1T1 transcript levels between the participants and PKUPH was not always consistent with that of WT1 transcript levels. Both RUNX1-RUNX1T1 and WT1 transcript levels from 2 and 7 laboratories were individually lower than and higher than those of PKUPH, whereas for the rest 11 laboratories, one transcript level was higher than and the other was lower than that of PKUPH. Conclusion: The reported RUNX1-RUNX1T1 and WT1 transcript levels were different among laboratories for the same sample. Most of the participated laboratories reported highly consistent result with that of PKUPH. The relationship between laboratories of the different transcript levels may not be the same.
China
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Core Binding Factor Alpha 2 Subunit
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Humans
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Leukemia, Myeloid, Acute
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RUNX1 Translocation Partner 1 Protein
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Real-Time Polymerase Chain Reaction
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Transcription, Genetic
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WT1 Proteins