• Title/Summary/Keyword: risk expression

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MicroRNAs and Metastasis-related Gene Expression in Egyptian Breast Cancer Patients

  • Hafez, Mohamed M.;Hassan, Zeinab K.;Zekri, Abdel Rahman N.;Gaber, Ayman A.;Rejaie, Salem S. Al;Sayed-Ahmed, Mohamed M.;Shabanah, Othman Al
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.2
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    • pp.591-598
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    • 2012
  • Aim and background: MicroRNAs (miRNAs) are a class of naturally occurring small noncoding RNAs that regulate gene expression, cell growth, differentiation and apoptosis by targeting mRNAs for translational repression or cleavage. The present study was conducted to study miRNAs in Egyptian breast cancer (BC) and their relation to metastasis, tumor invasion and apoptosis in addition to their association with the ER and PR statuses. Methods: Real Time RT-PCR was performed to identify the miRNA expression level of eight miRNAs and eight metastatic-related genes in 40 breast cancer samples and their adjacent non-neoplastic tissues. The expression levels of each miRNA relative to U6 RNA were determined using the $^{2-{\Delta}}CT$ method. Also, miRNA expression profiles of the BC and their corresponding ANT were evaluated. Results: The BC patients showed an up-regulation in miRNAs (mir-155, mir-10, mir-21 and mir-373) with an upregulation in MMP2, MMp9 and VEGF genes. We found down regulation in mir-17p, mir-126, mir-335, mir-30b and also TIMP3, TMP1 and PDCD4 genes in the cancer tissue compared to the adjacent non-neoplastic tissues. Mir -10b, mir -21, mir-155 and mir373 and the metastatic genes MMP2, MMP9 and VEGF were significantly associated with an increase in tumor size (P < 0.05). No significant difference was observed between any of the studied miRNAs regarding lymph node metastasis. Mir-21 was significantly over-expressed in ER-/PR-cases. Conclusion: Specific miRNAs (mir-10, mir-21, mir-155, mir-373, mir-30b, mir-126, mir-17p, mir-335) are associated with tumor metastasis and other clinical characteristics for BC, facilitating identification of individuals who are at risk.

Application of the Risk-Based Analysis to EIA (환경영향평가에 있어 위해성분석 기법의 도입)

  • Chung, Yong
    • Journal of Environmental Impact Assessment
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    • v.4 no.3
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    • pp.1-8
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    • 1995
  • In generally speaking, the purpose of Environmental Impact Assessment(EIA) is to give the environment its due place in the decision-making process by clearly ealuating the environmental consequence of a proposed activity before action is taken. The introduction of conventional EIA is to be seen as an end product of a very long evolutionary process, starting with rudimentary but evolving pollution control measures for air, water, noise, land and chemicals, each governed by separate, and separately administered pieces of legislation. In EIA process, the measures of status, scoping, proposed mitigation and communication have not been very quantitative in their significancy. Of course, the determinations have uncertainity in the implications for significant impacts. To improve the determination of significant impacts, some more comprehensive methodologies of EIA has been proposed with the concepts of risk analysis in the proposed projects. The concepts of risk analysis has been introduced to the expression of human health impairment due to environmental pollutants since the early 1980's. The risk analysis being meant by the statistical significance of impact has a process quantitatively considering uncertainities and importances of ecological systems and human health as well. The process of risk analysis shows assessment, doseresponse in toxicity, exposure assessment and risk characterization. With the risk assessment, it could be suggested for the proper measurements against their anticipated risk in the EIA. This paper deals the priciples developing process and application of the risk-based analysis in EIA.

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Effect of Bisphenol A on Early Embryonic Development and the Expression of Glutathione S-transferase (GST) in the Sea Urchin (Hemicentrotus pulcherrimus) (말똥성게(Hemicentrotus pulcherrimus)의 초기배아 발생과 glutathione S-transferase (GST)의 발현에 대한 bisphenol A의 영향)

  • Hwang, Un-Ki;Kim, Dae-Han;Ryu, Hyang-Mi;Lee, Ju-Wook;Park, Seung-Yoon;Kang, Han Seung
    • Korean Journal of Environmental Biology
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    • v.32 no.3
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    • pp.234-242
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    • 2014
  • In this study, gametotoxicity and embryotoxicity experiments using Hemicentrotus pulcherrimus were carried out to investigate the ecotoxicological effects of bisphenol A (BPA). We examined the effects of BPA on fertilization and normal embryogenesis at various concentrations (0, 300, 500, 800, 1000, and 1500 ppb). The results demonstrated that the fertilization rates were not changed. The normal embryogenesis rates were gradually decreased in a dose-dependent manner, and were significantly lowered following 800 ppb BPA treatment ($EC_{50}$=1056.1 ppb, 95% Cl=981.8~1163.9 ppb). The observed effective concentration and the lowest observed effective concentration of the normal embryogenesis rate were 500 ppb and 800 ppb, respectively. The embryos showed retarded development at each tested concentration, indicating the fact the embryonic development was delayed due to the increasing concentrations of BPA. Furthermore, we examined the expression of glutathione S-transferase (GST) mRNA at various concentrations of BPA in H. pulcherrimus. Interestingly, it was found that the expression level of GST mRNA was significantly increased in the experimental group exposed to BPA. Based on these results, we suggested that BPA at greater than 800 ppb has a toxic effect during the early embryonic stages of H. pulcherrimus, and GST mRNA may be used as a biomarker for risk assessment of BPA contamination.

Dietary Diversity during Early Infancy Increases Microbial Diversity and Prevents Egg Allergy in High-Risk Infants

  • Bo Ra Lee;Hye-In Jung;Su Kyung Kim;Mijeong Kwon;Hyunmi Kim;Minyoung Jung;Yechan Kyung;Byung Eui Kim;Suk-Joo Choi;Soo-Young Oh;Sun-Young Baek;Seonwoo Kim;Jaewoong Bae;Kangmo Ahn;Jihyun Kim
    • IMMUNE NETWORK
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    • v.22 no.2
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    • pp.17.1-17.14
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    • 2022
  • We aimed to investigate associations of dietary diversity (DD) with gut microbial diversity and the development of hen's egg allergy (HEA) in infants. We enrolled 68 infants in a high-risk group and 32 infants in a control group based on a family history of allergic diseases. All infants were followed from birth until 12 months of age. We collected infant feeding data, and DD was defined using 3 measures: the World Health Organization definition of minimum DD, food group diversity, and food allergen diversity. Gut microbiome profiles and expression of cytokines were evaluated by bacterial 16S rRNA sequencing and real-time reverse transcriptase-polymerase chain reaction. High DD scores at 3 and 4 months were associated with a lower risk of developing HEA in the high-risk group, but not in the control group. In the high-risk group, high DD scores at 3, 4, and 5 months of age were associated with an increase in Chao1 index at 6 months. We found that the gene expression of IL-4, IL-5, IL-6, and IL-8 were higher among infants who had lower DD scores compared to those who had higher DD scores in high-risk infants. Additionally, high-risk infants with a higher FAD score at 5 months of age showed a reduced gene expression of IL-13. Increasing DD within 6 months of life may increase gut microbial diversity, and thus reduce the development of HEA in infants with a family history of allergic diseases.

Crime Prediction Model based on Meteorological Changes and Discomfort Index (기상변화 및 불쾌지수에 따른 범죄발생 예측 모델)

  • Kim, JongMin;Kim, MinSu;Kim, Kuinam J.
    • Convergence Security Journal
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    • v.14 no.6_2
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    • pp.89-95
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    • 2014
  • This study analyzed a correlation between crime and meteorological changes and discomfort index of Seoul and p resented a prediction expression through the regression analysis. For data used in this study, crime data from Januar y 2008 to December 2012 of Seoul Metropolitan Police Agency and meteorological records and discomfort index recor ded in the Meteorological Agency through the portal sites were used. Based on this data, SPSS 18.0 was used for the regression analysis and the analysis of correlation between crime and meteorological changes and discomfort index and a prediction expression was derived through the analysis and the risk index was shown in 5 steps depending on predicted values obtained through the prediction expression derived. The risk index of 5 steps classified like this is considered to be used as important data for crime prevention activities.

MUC1-C influences cell survival in lung adenocarcinoma Calu-3 cells after SARS-CoV-2 infection

  • Kim, Dongbum;Maharjan, Sony;Kim, Jinsoo;Park, Sangkyu;Park, Jeong-A;Park, Byoung Kwon;Lee, Younghee;Kwon, Hyung-Joo
    • BMB Reports
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    • v.54 no.8
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    • pp.425-430
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    • 2021
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces coronavirus disease 2019 (COVID-19) and may increase the risk of adverse outcomes in lung cancer patients. In this study, we investigated the expression and function of mucin 1 (MUC1) after SARS-CoV-2 infection in the lung epithelial cancer cell line Calu-3. MUC1 is a major constituent of the mucus layer in the respiratory tract and contributes to pathogen defense. SARS-CoV-2 infection induced MUC1 C-terminal subunit (MUC1-C) expression in a STAT3 activation-dependent manner. Inhibition of MUC1-C signaling increased apoptosis-related protein levels and reduced proliferation-related protein levels; however, SARS-CoV-2 replication was not affected. Together, these results suggest that increased MUC1-C expression in response to SARS-CoV-2 infection may trigger the growth of lung cancer cells, and COVID-19 may be a risk factor for lung cancer patients.

Application of Toxicogenomic Technology for the Improvement of Risk Assessment

  • Hwang, Myung-Sil;Yoon, Eun-Kyung;Kim, Ja-Young;Son, Bo-Kyung;Jang, Dong-Deuk;Yoo, Tae-Moo
    • Molecular & Cellular Toxicology
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    • v.4 no.3
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    • pp.260-266
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    • 2008
  • Recently, there has been scientific discussion on the utility of -omics techniques such as genomics, proteomics, and metabolomics within toxicological research and mechanism-based risk assessment. Toxicogenomics is a novel approach integrating the expression analysis of genes (genomic) or proteins (proteomic) with traditional toxicological methods. Since 1999, the toxicogenomic approach has been extensively applied for regulatory purposes in order to understand the potential toxic mechanisms that result from chemical compound exposures. Therefore, this article's purpose was to consider the utility of toxicogenomic profiles for improved risk assessment, explore the current limitations in applying toxicogenomics to regulation, and finally, to rationalize possible avenues to resolve some of the major challenges. Based on many recent works, the significant impact toxicogenomic techniques would have on human health risk assessment is better identification of toxicity pathways or mode-of-actions (MOAs). In addition, the application of toxicogenomics in risk assessment and regulation has proven to be cost effective in terms of screening unknown toxicants prior to more extensive and costly experimental evaluation. However, to maximize the utility of these techniques in regulation, researchers and regulators must resolve many parallel challenges with regard to data collection, integration, and interpretation. Furthermore, standard guidance has to be prepared for researchers and assessors on the scientifically appropriate use of toxicogenomic profiles in risk assessment. The National Institute of Toxicological Research (NITR) looks forward to an ongoing role as leader in addressing the challenges associated with the scientifically sound use of toxicogenomics data in risk assessment.

The High Expressed Serum Soluble Neural Cell Adhesion Molecule, a High Risk Factor Indicating Hepatic Encephalopathy in Hepatocelular Carcinoma Patients

  • Liu, Tian-Hua;Guo, Kun;Liu, Ri-Qiang;Zhang, Shu;Huang, Zhuo-Hui;Liu, Yin-Kun
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.8
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    • pp.3131-3135
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    • 2015
  • Objective: To investigate whether the expression of serum soluble neural cell adhesion molecule (sNCAM) is associated with hepatic encephalopathy (HE) in hepatocelular carcinoma (HCC) patients. Materials and Methods: The Oncomine Cancer Microarray database was used to determine the clinical relevance of NCAM expression in different kinds of human cancers. Sera from 75 HCC cases enrolled in this study were assessed for expression of sNCAM by enzyme linked immunosorbent assay (ELISA). Results: Dependent on the Oncomine Cancer Microarray database analysis, NCAM was down regulated in 10 different kinds of cancer, like bladder cancer, brain and central nervous system cancer, while up-regulated in lung cancer, uterine corpus leiomyoma and sarcoma, compared to normal groups. Puzzlingly, NCAM expression demonstrated no significant difference between normal and HCC groups. However, we found by quantitative ELISA that the level of sNCAM in sera from HCC patients with HE ($347.4{\pm}151.9ng/ml$) was significantly more up-regulated than that in HCC patients without HE ($260.3{\pm}104.2ng/ml$), the p-value being 0.008. sNCAM may be an important risk factor of HE in HCC patients, the correlation coefficients was 0.278 (P<0.05) on rank correlation analysis. Conclusions: This study highlights that up-regulated level of serum sNCAM is associated with HE in HCC patients and suggests that the high expression can be used as an indicator.

Analysis of Housekeeping Genes in Mice Feeding on GM and non-GM Potatoes (해충저항성 GM감자와 non-GM감자의 Housekeeping gene 발현 분석)

  • Kweon, Mi-Ae;Heo, Jin-Chul;Cho, Hyun-Seok;Lee, Sang-Han
    • Food Science and Preservation
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    • v.15 no.4
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    • pp.562-567
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    • 2008
  • To develop human risk assessment protocols, we explored housekeeping gene and cytokine expression in mouse spleen cells using Rt-PCR. We normalized housekeeping gene expression by RT-PCR; gene expression was highly uniform in potato leafs and mouse spleen cells. We measured the expression of frequently used housekeeping genes, such as those encoding APRT, $\beta$-tubulin, Actin, Hsp 20.2, Cyclophilin, 18S RNA, Efla, Tbp, GAPDH, $\beta$-actin, Tuba2, Hprt, Cyclophlin A, Tfrc, and RPL13A in mice fed GM or non-GM potatoes. Housekeeping gene expression did not show any significant differences between GM and non-GM potato-fed mice. The murine model of potato-fed mice did not express IL-4 and IL-13 at a significant levels.

Expression of potassium channel genes predicts clinical outcome in lung cancer

  • Ko, Eun-A;Kim, Young-Won;Lee, Donghee;Choi, Jeongyoon;Kim, Seongtae;Seo, Yelim;Bang, Hyoweon;Kim, Jung-Ha;Ko, Jae-Hong
    • The Korean Journal of Physiology and Pharmacology
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    • v.23 no.6
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    • pp.529-537
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    • 2019
  • Lung cancer is the most common cause of cancer deaths worldwide and several molecular signatures have been developed to predict survival in lung cancer. Increasing evidence suggests that proliferation and migration to promote tumor growth are associated with dysregulated ion channel expression. In this study, by analyzing high-throughput gene expression data, we identify the differentially expressed $K^+$ channel genes in lung cancer. In total, we prioritize ten dysregulated $K^+$ channel genes (5 up-regulated and 5 down-regulated genes, which were designated as K-10) in lung tumor tissue compared with normal tissue. A risk scoring system combined with the K-10 signature accurately predicts clinical outcome in lung cancer, which is independent of standard clinical and pathological prognostic factors including patient age, lymph node involvement, tumor size, and tumor grade. We further indicate that the K-10 potentially predicts clinical outcome in breast and colon cancers. Molecular signature discovered through $K^+$ gene expression profiling may serve as a novel biomarker to assess the risk in lung cancer.