• Title/Summary/Keyword: HEp-2

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Drug Interaction between Ginseng Extract (GE) and Sorafenib (쏘라페닙과 홍삼추출물간의 약물상호작용)

  • Lee, Nam-Hee;Park, Ho-Jae;Rho, Ja-Sung;Kim, Mi-Kyung;Lee, Yu-Kyoung;Cho, Eun-A;Heo, Jeong;Cho, Mong;Hwang, Tae-Ho
    • Journal of Life Science
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    • v.21 no.11
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    • pp.1518-1525
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    • 2011
  • Sorafenib is the only approved systemic, therapeutic agent for hepatocellular carcinoma (HCC). The use of Ginseng Extract (GE) in cancer patients is growing worldwide; however, drug interaction between sorafenib and GE has not been illuminated. Four different human cancer cell lines including HepG2 were used and immunocompetent mice were implanted subcutaneously with a mouse HCC cell line. Treatment with low dose GE stimulated cell growth, while a high dose inhibited growth. pERK (phosphorylation of extracellular signal-regulated kinase) was concomitantly increased and decreased respective of different doses of GE. Antitumoral effect of sorafenib decreased in non-proliferating phase cells but was sensitized after low dose GE (LDG) treatment. PD98059 (ERK phosphorylation inhibitor) efficiently blocked ERK phosphorylation, resulting in loss of sorafenib sensitization even after LDG treatment. In the HCC mouse model, LDG alone slightly increased tumor size while sorafenib alone significantly decreased it. However, a combination of LDG and sorafenib significantly decreased tumor size compared with sorafenib alone. Increase of pERK was observed in some normal mice organs and mild inflammatory change was observed in some of these organs, suggesting pERK activation by LDG may cause unexpected toxicity in normal cells. GE, dose-dependently, induced stimulation or inhibition in some human cancer cell lines. Combinational use of GE and sorafenib possibly potentiated an antitumoral response to sorafenib. pERK level has been provided as a potential predictive marker for sorafenib. Our result may suggest GE's dual effects in relation to pERK level in HCC cancer cell lines, and that certain doses of GE can sensitize sorafenib.

Comparison and Analysis between Human Breast Cancer Cells and Hepatoma Cells for the Effects of Xenobiotic Nuclear Receptors (Constitutive Androstane Receptor, Steroid and Xenobiotic Receptor, and Peroxisome-Proliferator-Activated Receptor γ ) on the Transcriptional Activity of Estrogen Receptor (유방암 세포와 간암세포에 있어서 에스트로겐 수용체의 전사조절기능에 대한 Xenobiotic 핵 수용체 (Constitutive Androstane Receptor, Steroid and Xenobiotic Receptor, Peroxisome-Proliferator-Activated Receptor γ )의 영향 비교분석)

  • 민계식
    • Journal of Life Science
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    • v.13 no.3
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    • pp.314-323
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    • 2003
  • The purpose of this study was to examine the effects of xenobiotic nuclear receptors, CAR, SXR, and PPAR${\gamma}$ on the transcriptional activity of estrogen receptor in human breast cancer cell lines and compare with those in human hepatoma cell line. Two different breast cancer cell lines, MCF-7 and MDA-MB-231 were cultured and effects of CAR, SXR, and PPAR${\gamma}$ on the ER-mediated transcriptional activation of synthetic (4ERE)-tk-luciferase reporter gene were analyzed. Consistent with the previous report, CAR significantly inhibited ER-mediated transactivation and SXR repressed modestly whereas the PPAR${\gamma}$ did not repress the ER-mediated transactivation. However, in breast cancer cells neither of the xenobiotic receptors repressed the ER-mediated transactivation. Instead, they tend to increase the transactivation depending on the cell type and xenobiotic nuclear receptors. In MCF-7, SXR but neither CAR nor PPAR${\gamma}$ slightly increased ER-mediated transactivation whereas in MDA-MB-231, CAR and PPAR${\gamma}$ but not SXR tend to increase the transactivation of the reporter gene. These results indicate that the effects of ER cross-talk by the CAR, SXR, and PPAR${\gamma}$ , are different in breast cancer cells from hepatoma cells. In conclusion, the transcriptional regulation by estrogen can involve different cross-talk interaction between estrogen receptor and xenobiotic nuclear receptors depending on the estrogen target cells.

Screening of biological activities of the extracts from Rubus coreanus Miq (복분자 열매 추출물의 유용 생리활성 탐색)

  • Lee, Mi-Kyoung;Lee, Hyun-Soo;Choi, Geun-Pyo;Oh, Deog-Hwan;Kim, Jong-Dai;Yu, Chang-Yeon;Lee, Hyeon-Yong
    • Korean Journal of Medicinal Crop Science
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    • v.11 no.1
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    • pp.5-12
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    • 2003
  • The biological activities of extracts from Rubus coreanus Miq. were compared. About 70% of the growth of human hepatocarcinoma and 79% of human gastric cancer cell was inhibited in adding 1.0 mg/ml of the extracts of Rubus coreanus Miq. respectively. The growth of human breast cancer cells was also inhibited in adding 1.0 mg/ml of the extracts as well as 78% of the human cancer cells. It was proved that the growth of human normal lung cell, scored as 15% for the extracts. Overall selectivity of the extracts on several human cancer cell line was over 5, which is higher than those from the Rubus coreanus Miq. The growth of both human immune B and T cells was enhanced up to 1.4 to 1.8 times by adding the extracts, compared to the controls. The secretion of tumor necrosis $factor-alpha(TNF-{\alpha})$ from T cell was also increased up to 78.8 pg/ml in adding the ethanol extract (0.5 mg/ml). Ethanol extract also increased up to about 70 pg/ml of interleukin-6(IL-6) from B cell. For screening regulate function of blood pressure, angiotensin converting enzyme(ACE) activity was inhibited up to 25% by adding the ethanol extract (1.0 mg/ml). In testing the hypoglycemic activity, 20% of ${\alpha}-glucosidase$ activity was inhibited for the extracts (0.5 mg/ml). GST activity was increased in the range of 1.2 to 1.6 times by adding extracts.

A Comparative Study of Subset Construction Methods in OSEM Algorithms using Simulated Projection Data of Compton Camera (모사된 컴프턴 카메라 투사데이터의 재구성을 위한 OSEM 알고리즘의 부분집합 구성법 비교 연구)

  • Kim, Soo-Mee;Lee, Jae-Sung;Lee, Mi-No;Lee, Ju-Hahn;Kim, Joong-Hyun;Kim, Chan-Hyeong;Lee, Chun-Sik;Lee, Dong-Soo;Lee, Soo-Jin
    • Nuclear Medicine and Molecular Imaging
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    • v.41 no.3
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    • pp.234-240
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    • 2007
  • Purpose: In this study we propose a block-iterative method for reconstructing Compton scattered data. This study shows that the well-known expectation maximization (EM) approach along with its accelerated version based on the ordered subsets principle can be applied to the problem of image reconstruction for Compton camera. This study also compares several methods of constructing subsets for optimal performance of our algorithms. Materials and Methods: Three reconstruction algorithms were implemented; simple backprojection (SBP), EM, and ordered subset EM (OSEM). For OSEM, the projection data were grouped into subsets in a predefined order. Three different schemes for choosing nonoverlapping subsets were considered; scatter angle-based subsets, detector position-based subsets, and both scatter angle- and detector position-based subsets. EM and OSEM with 16 subsets were performed with 64 and 4 iterations, respectively. The performance of each algorithm was evaluated in terms of computation time and normalized mean-squared error. Results: Both EM and OSEM clearly outperformed SBP in all aspects of accuracy. The OSEM with 16 subsets and 4 iterations, which is equivalent to the standard EM with 64 iterations, was approximately 14 times faster in computation time than the standard EM. In OSEM, all of the three schemes for choosing subsets yielded similar results in computation time as well as normalized mean-squared error. Conclusion: Our results show that the OSEM algorithm, which have proven useful in emission tomography, can also be applied to the problem of image reconstruction for Compton camera. With properly chosen subset construction methods and moderate numbers of subsets, our OSEM algorithm significantly improves the computational efficiency while keeping the original quality of the standard EM reconstruction. The OSEM algorithm with scatter angle- and detector position-based subsets is most available.