• Title/Summary/Keyword: NY-ESO-1

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A comprehensive Analysis of a Large Panel of Cancer/Testis (CT) Antigens in Korea Breast Cancer (한국 유방암 환자에서 cancer/testis antigen의 발현분석)

  • Bae, Jae-Ho;Kim, Min-Ju;Park, Hae-Rim;Song, Myung-Ha;Kim, Jee-Yeon;Lee, Chang-Hun;Kwak, Hi-Suk;Lee, Sang-Yull
    • Journal of Life Science
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    • v.19 no.7
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    • pp.886-891
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    • 2009
  • Cancer/testis (CT) antigens are immunogenic in cancer patients, exhibit highly tissue-restricted expression, and are considered promising target molecules for cancer vaccines. We investigated the expression of 13 CT genes in 29 Korean patients with primary breast carcinoma. The most frequently expressed CT genes were MAGE-3 (66%) and MAGE-1 (57%), followed by LAGE-1 (55%), NY-SAR-35 (49%), MAGE-4 (41%), NY-ESO-1 (38%), CT-7 (24%) and SSX-4 (24%), whereas SSX-1, SSX-2, MAGE-10 and NY-TLU-57 were found to be expressed significantly less often (3-7%) and SCP-l not all. Expression of at least one antigen was observed in 28 breast cancer samples. Immunohistochemistry was performed for NY-ESO-l and MAGE-3 protein expression in breast tumor samples. NY-ESO-l and MAGE-3 proteins were expressed in 11 of 29 (38%) and 12 of 29 (41 %) breast tumors. Our results suggest that CT antigens may be potential candidates for polyvalent immunotherapy in Korean breast cancer patients.

Analysis of 5-aza-2'-deoxycytidine-induced Gene Expression in Lung Cancer Cell Lines (폐암 세포주에서 5-aza-2'-deoxycytidine 처치에 의해 발현되는 암항원 유전자 분석)

  • 김창수;이해영;김종인;장희경;박종욱;조성래
    • Journal of Chest Surgery
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    • v.37 no.12
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    • pp.967-977
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    • 2004
  • Background: DNA methylation is one of the important gene expression mechanisms of the cell. When cytosine of CpG dinucleotide in promotor is hypomethylated, expression of some genes that is controlled by this promoter is altered. In this study, the author investigated the effect of DNA demethylating agent, 5-aza-2'-deoxycytidine (ADC), on the expressions of cancer antigen genes, MHC and B7 in 4 lung cancer cell lines, NCIH1703, NCIH522, MRC-5, and A549. Material and Method: After treatment of cell lines, NCIH1703, NCIH522, MRC-5 and A549 with ADC (1 uM) for 48 hours, RT-PCR was performed by using the primers of MAGE, GAGE, NY-ESO-1, PSMA, CEA, and SCC antigen gene. In order to find the optimal ADC treatment condition for induction of cancer antigen, we studied the effect of ADC treatment time and dose on the cancer antigen gene expression. To know the effect of ADC on the expression of MHC or B7 and cell growth, cells were treated with 1 uM of ADC for 72 hours for FACS analysis or cells were treated with 0.2, 1 or 5 uM of ADC for 96 hours for cell counting. Result: After treatment of ADC (1 uM) for 48 hours, the expressions of MAGE, GAGE, NY-ESO-1, and PSMA genes increased in some cell lines. Among 6 MAGE isotypes tested, and gene expression of MAGE-1, -2, -3, -4 and -6 could be induced by ADC treatment. However, CEA gene expression did not change and SCC gene expression was decreased by ADC treatment. Gene expression was generally induced 24 - 28 hours after ADC treatment and expression of MAGE, GAGE, and NY-ESO-1 was maintained at least 14 days after ADC ADC teatment, and expression of MAGE, GAGE, and NY-ESO-1 was maintained at least 14 days after ADC teatment in ADC-Free medium. Most gene expression could be induced at 0.2 uM of ADC, but gene expression increased dependently on ADC treatment dose. The expression of MHC and B7 was not increased by ADC treatment in all four cell lines, and the growth rate of 4 cell lines decreased significantly with the increase of ADC concentrations. Conclusion: Treatment of lung cancer cell lines with ADC increases the gene expression MAGE, GAGE and NY-ESO-1 that are capable of induction of cytotoxic T lymphocyte response. We suggest that treatment with 1 uM of ADC for 48 hours and then culturing in ADC-free medium is optimal condition for induction of cancer antigen. However, ADC has no effect on MHC and B7 induction, additional modification for increase of expression of MHC, B7 and cytokine will be needed for production of efficient cancer cell vaccine.

Review of Cancer-Testis (CT) Genes (Cancer-testis (CT) 유전자의 고찰)

  • Kim, Mi-Hee;Song, Myung-Ha;Lee, Sang-Yull
    • Journal of Life Science
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    • v.21 no.6
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    • pp.912-922
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    • 2011
  • Cancer-testis (CT) antigens are immunogenic protein antigens with restricted expression in the testes and a wide range of human tumor types, eliciting both humoral and cellular immune responses in cancer patients. They are considered to be ideal targets for vaccine-based immunotherapy, and more than 100 CT antigens, including MAGE, NY-ESO-1, GAGE, BAGE, LAGE, SSX2 and NY-SAR-35 have been identified to date. The CT antigens were identified through various techniques and can be divided in those that are encoded on the X chromosome, the CT-X genes, and those that are not, the non-X-CT genes. CT genes are aberrantly activated and expressed in a proportion of various types of human cancers. The biological role of CT-X in both germ line tissues and tumors remains poorly understood. Cancer vaccine trials based on several CT antigens are currently ongoing. This paper reviews recent advances in and future trends of CT antigens for cancer immunotherapy.

지역주의의 역동성과 전망: 투표, 편견과 선거제도를 중심으로

  • 이명진
    • Proceedings of the Korean Statistical Society Conference
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    • 2000.11a
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    • pp.207-212
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    • 2000
  • 본 연구는 최근의 사회조사와 선거자료를 이용하여 한국사회의 지역주의의 특징을 살펴보고자 한다. 첫째, 최근의 선거결과에 보이는 지역주의적 투표는 지역간 사회적 거리를 잘 보여주고 있다. 둘째, 이러한 사회적 거리는 '편견과 차별'의 형태로 다양한 일상생활에서 존재하고 있다. 많은 사람들은 이러한 편견을 믿고 있으며, 편견에 의한 지역적 차별을 경험하고 있다. 특히 이러한 경험은 특정지역(호남)과 관련되어 있다. 셋째, 이러한 정치적 측면(지역주의적 투표)과 사회적 측면(지역간 편견)을 선거제도와 연결하여 살펴봄으로써, 앞으로 한국사회의 정치제도의 변화에 대한 전망을 할 수 있다. 연구의 잠재적인 가정은 선거에 있어서 지역적인 투표가 무조건 '나쁜' 것만은 아니라는 것이다. 한국 정치에서 나타나는 지도자나 이데올로기의 편향은 많은 사람들로 하여금 투표나 선거에서 출신지를 중요한 요소로 삼게 하였다. 이러한 요소는 쉽게 사라지지는 않을 것이며, 앞으로 선거제도의 변화에 중요한 역할을 할 것이다. 이러한 예측은 세 가지 중요한 요소에 근거하고 있다. 첫째, 유권자들의 지역주의에 대한 믿음과 예측은 쉽게 사라지지 않을 것이다. 둘째, 정치지도자들은 지역주의를 선거와 관련한 자신의 이익을 위해서 최대한 이용할 것이다. 셋째, 지역주의에 근거한 유권자들의 성향은 최근 선거와 투표에서 더욱 강화되고 있다. 정치엘리트들이 지역적인 기반을 중심으로 결합하려는 경향이 강해지고 있다. 이러한 경향은 이들 정치엘리트 사이의 내각중심제에 대한 선호도와 지역당의 출현 가능성을 증가시킬 것이다.도 설치행위의 처분성과 관련하여 횡단보도의 설치행위와 같은 일반적인 명령을 항고소송의 대상으로 할 필요성이 존재한다면 이른바 독일에서의 일반처분이라는 개념을 무리하게 받아들여 이를 행정행위의 한 유형으로 한다거나 우리 판례와 같이 "직접적이고 구체적인 법적 효과"를 미치는 명령이라는 명확치 않은 기준에 의하여 처분성을 인정하기보다는 일반적인 명령과 개별적인 행정행위를 구분하고 명령에 대하여도 취소소송의 대상으로 삼도록 하는 보다 명확하고 일관성 있는 논의전개를 제안하였다.수 있었다.로 첨가하여 48시간 배양한 후 암항원 유전자 발현성을 측정한 결과 세포주에 따라 다소 차이는 있으나 대개 0.2 uM농도에서도 유전자 발현이 유도되었으며 1, 5 uM농도에서 매우 강하게 유도되었다. ADC 처리가 페암세포주의 MHC와 B7 발현을 증가시키는가를 알아보기 위해 1 uM 농도의 ADC를 72시간 처치한 후 FACS 분석을 실시한 결과 4개의 페암세포주에서 MHC 및 B7분자의 발현은 유도되지 않았다. 또 ADC농도가 세포성장에 미치는 영향을 알아보기 위하여 ADC를 0.2, 1, 5 uM농도로 96시간 처치 후 세포수를 측정하여 상대성장지수를 알아본 결과 ADC 처치 농도가 증가함에 따라 세포의 성장은 매우 감소하였다. 결론: 폐암세포주에서 ADC처치는 MAGE, GAGE 및 NY-ESO-1과 같은 세포독성 T 림프구 반응을 유도할 수 있는 암항원의 발현을 증가시킬 수 있으며, ADC의 세포독성과 항원 발현 유발시간을 분석할 때 1 uM 농도에서 48시간 처치한 후 ADC가 없는 배지에서

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Dynamic Network Loading Model based on Moving Cell Theory (Moving Cell Theory를 이용한 동적 교통망 부하 모형의 개발)

  • 김현명
    • Journal of Korean Society of Transportation
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    • v.20 no.5
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    • pp.113-130
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    • 2002
  • In this paper, we developed DNL(Dynamic Network Loading) model based on Moving cell theory to analyze the dynamic characteristics of traffic flow in congested network. In this paper vehicles entered into link at same interval would construct one cell, and the cells moved according to Cell following rule. In the past researches relating to DNL model a continuous single link is separated into two sections such as running section and queuing section to describe physical queue so that various dynamic states generated in real link are only simplified by running and queuing state. However, the approach has some difficulties in simulating various dynamic flow characteristics. To overcome these problems, we present Moving cell theory which is developed by combining Car following theory and Lagrangian method mainly using for the analysis of air pollutants dispersion. In Moving cell theory platoons are represented by cells and each cell is processed by Cell following theory. This type of simulation model is firstly presented by Cremer et al(1999). However they did not develop merging and diverging model because their model was applied to basic freeway section. Moreover they set the number of vehicles which can be included in one cell in one interval so this formulation cant apply to signalized intersection in urban network. To solve these difficulties we develop new approach using Moving cell theory and simulate traffic flow dynamics continuously by movement and state transition of the cells. The developed model are played on simple network including merging and diverging section and it shows improved abilities to describe flow dynamics comparing past DNL models.

Analysis of the Effects of Radio Traffic Information on Urban Worker's Travel Choice Behavior (교통방송이 제공하는 교통정보가 직장인의 통행행태에 미치는 영향 분석)

  • 윤대식
    • Journal of Korean Society of Transportation
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    • v.20 no.5
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    • pp.33-43
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    • 2002
  • Travel choice behavior is affected by real-time traffic information. Recently, in urban area, real-time traffic information is provided by several instruments such as transportation broadcasting, internet PC network and variable message sign, etc. Furthermore, it has been increasing for urban travelers to use real-time traffic information provided by several instruments. The purpose of this study is to analyze the effects of advanced traveler information on urban worker's travel choice behavior. Among several Advanced Traveler Information System(ATIS) employed in urban area. This study focuses on examining the effects of transportation broadcasting on urban worker's travel choice behavior. This study attempts to examine traveler's mode change behavior in the pre-trip stage and traveler's route change behavior in the on-route stage. For this study, the survey data collected from Daegu City in 2000 is used. For empirical analysis, several nested logit models are estimated, and among them, the best models are reported in this paper. Furthermore, based on the empirical models estimated for this research, important findings and their policy implications are discussed.

Expression of MAGE in the Induced Sputum of Lung Cancer Patients (폐암환자의 유도 객담에서 MAGE의 발현)

  • Yook, Dong-Seung;Shin, Ho-Sik;Choi, Paul;Kim, Ji-Hae;Shin, Seong-Hoon;Ok, Chul-Ho;Cho, Hyun-Myung;Jang, Tae-Won;Jung, Maan-Hong;Park, Jong-Wook;Jeon, Chang-Ho
    • Tuberculosis and Respiratory Diseases
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    • v.53 no.3
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    • pp.265-274
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    • 2002
  • Background : Tumor associated antigens, which are produced specifically by tumor cells, are promising targets for the early diagnosis and immunotherapy. Among the tumor associated antigens, MAGE (a melanoma antigen), BAGE, GAGE, PRAME and NY-ESO were named as cancer/testis specific antigens they are detected exclusively in the testis or cancer cells If MAGE is easily detectable in the sputum, it would become a convenient method for diagnosing lung cancer. This study was undertaken to investigate MAGE expression in the induced sputum obtained from lung cancer patients. Materials and Methods : In 14 control patients and 30 lung cancer patients, the induced sputum was collected after inhaling 3% saline(5 cc) delivered by nebulizer for approximately 5 minutes after a mouth rinse and bronchodilator inhalation. The induced sputum was placed in a conservative-mixed solution (guanidinium isothiocyanate, Triton X-100). The total cellular mRNA was extracted from the cells and RT PCR and nested PCR were run in 30 and 35 cycles respectively, with two different types of primers specially designed to detect six subtypes of MAGE DNA simultaneously. Results : MAGE expression was not detected in the 14 controls, but in the 30 cancer patients, MAGE was found in 24 patients (80%, p=0.001). In the cancer patients, there were no differences in the expression level according to the tissue types (squamous cell cancer 13/17, adenocarcinoma 7/9, and small cell cancer 4/4, p-0.56). Among the 24 MAGE-positive patients, the tumor was not visible on a bronchoscopy in 11 patients (45.8%). Conclusion : A study of MAGE in induced sputum appears to be a useful and complementary method in the diagnosis of lung cancer. A further prospective study with more patients is recommended.

Development of a Traffic Accident Prediction Model and Determination of the Risk Level at Signalized Intersection (신호교차로에서의 사고예측모형개발 및 위험수준결정 연구)

  • 홍정열;도철웅
    • Journal of Korean Society of Transportation
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    • v.20 no.7
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    • pp.155-166
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    • 2002
  • Since 1990s. there has been an increasing number of traffic accidents at intersection. which requires more urgent measures to insure safety on intersection. This study set out to analyze the road conditions, traffic conditions and traffic operation conditions on signalized intersection. to identify the elements that would impose obstructions in safety, and to develop a traffic accident prediction model to evaluate the safety of an intersection using the cop relation between the elements and an accident. In addition, the focus was made on suggesting appropriate traffic safety policies by dealing with the danger elements in advance and on enhancing the safety on the intersection in developing a traffic accident prediction model fir a signalized intersection. The data for the study was collected at an intersection located in Wonju city from January to December 2001. It consisted of the number of accidents, the road conditions, the traffic conditions, and the traffic operation conditions at the intersection. The collected data was first statistically analyzed and then the results identified the elements that had close correlations with accidents. They included the area pattern, the use of land, the bus stopping activities, the parking and stopping activities on the road, the total volume, the turning volume, the number of lanes, the width of the road, the intersection area, the cycle, the sight distance, and the turning radius. These elements were used in the second correlation analysis. The significant level was 95% or higher in all of them. There were few correlations between independent variables. The variables that affected the accident rate were the number of lanes, the turning radius, the sight distance and the cycle, which were used to develop a traffic accident prediction model formula considering their distribution. The model formula was compared with a general linear regression model in accuracy. In addition, the statistics of domestic accidents were investigated to analyze the distribution of the accidents and to classify intersections according to the risk level. Finally, the results were applied to the Spearman-rank correlation coefficient to see if the model was appropriate. As a result, the coefficient of determination was highly significant with the value of 0.985 and the ranks among the intersections according to the risk level were appropriate too. The actual number of accidents and the predicted ones were compared in terms of the risk level and they were about the same in the risk level for 80% of the intersections.