• Asian Pacific Journal of Cancer Prevention
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• v.14 no.7
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• pp.4131-4134
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• 2013

Objective: To evaluate the relationship between allium vegetable intake and risk of prostate cancer. Methods: A systematic literature search up to May 2013 was carried out in PubMed, EMBASE, Scopus, Web of Science, Cochrane register, and Chinese National Knowledge Infrastructure (CNKI) databases, and the references of retrieved articles were also screened. The summary relative risks with 95% confidence interval for the highest versus the lowest intake of allium vegetables were calculated. Heterogeneity and publication bias were also evaluated. Results: A total of nine epidemiological studies consisting of six case-control and three prospective cohort studies were included. We found a significantly decreased risk of prostate cancer for intake of allium vegetables (OR=0.82, 95% CI 0.70, 0.97). Moreover, in the subgroup analysis stratified by allium vegetable types, significant associations were observed for garlic (OR=0.77, 95% CI 0.64-0.91) but not onions (OR=0.84, 95% CI 0.62-1.13). Conclusions: Allium vegetables, especially garlic intake, are related to decreased risk of prostate cancer. Because of the limited number of studies, further well-designed prospective studies are warranted to confirm the findings of our study.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.20
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• pp.8957-8961
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• 2014

Background: Promoter hypermethylation leads to altered gene functions and may result in malignant cellular transformation. Thus, identification of biomarkers for hypermethylated genes could be useful for diagnosis, prognosis, and therapeutic treatment of oral squamous cell carcinoma (OSCC). Objectives: To screen hypermethylated genes with a microarray approach and to validate selected hypermethylated genes with the methylation-specific polymerase chain reaction (MSPCR). Materials and Methods: Genome-wide analysis of normal oral mucosa and OSCC tissues was conducted using the Illumina methylation microarray. The specified differential genes were selected and hypermethylation status was further verified with an independent cohort sample of OSCC samples. Candidate genes were screened using microarray assay and run by MSPCR analysis. Results: TP73, PIK3R5, and CELSR3 demonstrated high percentages of differential hypermethylation status. Conclusions: Our microarray screening and MSPCR approaches revealed that the signature candidates of differentially hypermethylated genes may possibly become potential biomarkers which would be useful for diagnostic, prognostic and therapeutic targets of OSCC in the near future.

• Journal of Animal Science and Technology
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• v.60 no.6
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• pp.11.1-11.7
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• 2018

After pubertal, cohort of small antral follicles enters to gonadotrophin-sensitive development, called recruited follicles. This study was aimed to identify candidate genes in follicular cyclic recruitment via analysis of protein-protein interaction (PPI) network. Differentially expressed genes (DEGs) in ovine granulosa cells of small antral follicles between follicular and luteal phases were accumulated among gene/protein symbols of the Ensembl annotation. Following directed graphs, PTPN6 and FYN have the highest indegree and outdegree, respectively. Since, these hubs being up-regulated in ovine granulosa cells of small antral follicles during the follicular phase, it represents an accumulation of blood immune cells in follicular phase in comparison with luteal phase. By contrast, the up-regulated hubs in the luteal phase including CDK1, INSRR and TOP2A which stimulated DNA replication and proliferation of granulosa cells, they known as candidate genes of the cyclic recruitment.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.779-788
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• 2020

Commercial banks play an important role as the main source of funding in the transition process of Vietnam as a market economy. As a result, enhancing the efficiency and productivity of Vietnamese banks can decrease the lending cost for individuals and enterprises. This study is to measure and analyze the productivity change of Vietnamese banking system in different ownership cohorts and sources of this change during the period of restructuring (2011-2019). The Hicks-Moorsteen total factor productivity index is utilised to measure the productivity change and to identify the sources of this change. For an empirical analysis, the data of 28 Vietnamese commercial banks from 2011 to 2018 is collected from their financial statements including balance sheets and income statements. The results show an increase of Vietnamese bank productivity due to the technological progress. While foreign and joint-venture banks are the most advanced cohort, state-owned banks have the lowest rate of productivity growth. The restructuring program negatively impacts scale efficiency and this measure attributes to a decline in the overall efficiency of the banks. We also found that state-owned commercial banks are the most efficient group in the sense that they can achieve the maximal level of revenue from a given amount of expense.

• Genomics & Informatics
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• v.12 no.4
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• pp.254-260
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• 2014

Best linear unbiased prediction (BLUP) has been used to estimate the fixed effects and random effects of complex traits. Traditionally, genomic relationship matrix-based (GRM) and random marker-based BLUP analyses are prevalent to estimate the genetic values of complex traits. We used three methods: GRM-based prediction (G-BLUP), random marker-based prediction using an identity matrix (so-called single-nucleotide polymorphism [SNP]-BLUP), and SNP-SNP variance-covariance matrix (so-called SNP-GBLUP). We used 35,675 SNPs and R package "rrBLUP" for the BLUP analysis. The SNP-SNP relationship matrix was calculated using the GRM and Sherman-Morrison-Woodbury lemma. The SNP-GBLUP result was very similar to G-BLUP in the prediction of genetic values. However, there were many discrepancies between SNP-BLUP and the other two BLUPs. SNP-GBLUP has the merit to be able to predict genetic values through SNP effects.

• Research in Community and Public Health Nursing
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• v.28 no.2
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• pp.206-215
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• 2017

Purpose: This study aimed to verify the predictive validity of Comprehensive Korean Frailty Instrument (CKFI) among older adults. Methods: A secondary analysis of data from a prospective cohort study was conducted. Frailty was determined in older adults (N=9,188) according to the data in 2008 and the effects of frailty on adverse outcomes (such as institutionalization and death) were evaluated according to the data in 2011. The Cardiovascular Health Study (CHS) index was used to compare with the predictive validity of CKFI. Results: The prevalence of frailty was 26.3%. With the CKFI, the frail group had a higher risk of negative health outcomes compared to the robust and pre-frail groups after three years. The two of the highest risks identified using the CKFI and CHS index were institutionalization (5.522 times higher) and mortality (3.210 times higher). For both instruments, the survival analysis revealed that the risk of death increased as the degree of frailty increased. Conclusion: The CKFI consisting of self-report items and multidimensional aspects of frailty can be used as a simple instrument for assessing the frailty of older adults residing in a local community in Korea.

• Journal of Nutrition and Health
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• v.52 no.2
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• pp.119-128
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• 2019

Purpose: This review article provides an overview of the importance of breakfast by examining the relationship between breakfast and academic achievement including the papers published in Korean. Methods: This study searched a total of six domestic and international databases. The main search words for searching the database were 'breakfast,' 'morning meal,' 'adolescent,' 'teen or teenage,' 'children' and 'academic performance,' and used search operators when available such as 'breakfast AND adolescent AND academic performance'. Results: We searched a total of 274 studies through six databases and included a total of 15 primary studies in which 12 studies were cross-sectional and three were cohort studies. Since a quantitative integration of the primary studies was difficult to achieve such as performing a meta-analysis, this study performed a descriptive analysis of all the 15 studies and the results have shown that eating breakfast has a significant effect on academic achievement. In other words, students who regularly had breakfast showed more than twice the academic performance compared to those who did not have breakfast, and even though the math scores of students who had breakfast were statistically significantly higher, none of the study results inferred the reason. Conclusion: This study showed the importance of eating breakfast during adolescence by presenting that academic achievement increases with regular or more frequent habits of eating breakfast.

• Kosin Medical Journal
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• v.33 no.3
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• pp.289-296
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• 2018

Objectives: In these days, patients with stage I breast cancer have increased by regular health examination and diagnostic tool development. The aim of this retrospective study is to identify systemic recurrence related factors after breast conserving surgery (BCS) for stage I breast cancer. Methods: In this study, we analyzed the correlation between systemic recurrence and pathologic factors. We reviewed 223 patients who underwent BCS for stage I breast cancer. Postoperative pathologic factors, recurrent rates and sites were studied. In addition, preoperative patients'data were also collected. Statistical analysis was done by using PASW 16.0 (SPSS Inc., Chicago, IL, USA). Results: Systemic recurrence was found in 16 patients (7.17%) within 5 years after primary surgery. 5 patients had lymphatic invasion and 6 patients had vascular invasion. Lymphatic and vascular invasion had statistical correlation with systemic recurrence (P = 0.004, P = 0.001). Conclusions: In this retrospective study, we can conclude that vascular invasion and lymphatic invasion are related systemic recurrence after BCS for stage I patients. Further studies with large cohort will be required to fully understand the risk factors of systemic recurrence for stage I breast cancer patients.

• Biomedical Science Letters
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• v.27 no.4
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• pp.317-322
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• 2021

Diabetes is mainly evaluated by fasting blood sugar. The genetic and environmental factors influence the development of type 2 diabetes. In this study, the relationship between diabetes and family history of diabetes in Koreans was analyzed in consideration of body mass index and age. The study subjects were 4,274 subjects who received a medical examination at a university hospital. The main statistical analysis method was multiple logistic regression analysis. In addition, subjects were analyzed by dividing them by gender and the median of age and body mass index. Diabetes prevalence was 8.9% of all subjects, and subjects with a family history of diabetes were 14.5%. The risk of diabetes was 2.80 times higher in subjects with a family history of diabetes than subjects without a family history of diabetes. In addition, in younger subjects, the risk of diabetes was 3.36 times higher in subjects with a family history of diabetes compared with subjects without a family history of diabetes. In this study, the family history of diabetes was significantly associated with diabetes. The relationship between family history of diabetes and diabetes was slightly higher in the younger group than in the older group. In order to obtain an accurate assessment of the association between diabetes and family history of diabetes, further prospective cohort study in the future is necessary.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.35-47
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• 2022

The receiver operating characteristic (ROC) curve was developed to quantify the classification ability of marker values (covariates) on the response variable and has been extended to survival data with diverse missing data structure. When survival data is understood as binary data (status of being alive or dead) at each time point, the ROC curve expressed at every time point results in time-dependent ROC curve and time-dependent area under curve (AUC). In particular, a follow-up study brings the change of cohort and incomplete data structures such as censoring and competing risk. In this paper, we review time-dependent ROC estimators under several contexts and perform simulation to check the performance of each estimators. We analyzed a dementia dataset to compare the prognostic power of markers.