scispace - formally typeset
Search or ask a question
Institution

Chung-Ang University

EducationSeoul, South Korea
About: Chung-Ang University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Thin film. The organization has 13381 authors who have published 26978 publications receiving 416735 citations. The organization is also known as: CAU & Chung.
Topics: Population, Thin film, Apoptosis, Graphene, Cancer


Papers
More filters
Journal ArticleDOI
TL;DR: MD change during short-term use of adjuvant ET was a significant predictor of long-term recurrence in women with ER-positive breast cancer, and effective treatment strategies are urgently needed in patients with low MDR despite about 1 year of ET.
Abstract: Anti-estrogen therapy has been shown to reduce mammographic breast density (MD) We hypothesized that a short-term change in breast density may be a surrogate biomarker predicting response to adjuvant endocrine therapy (ET) in breast cancer We analyzed data for 1,065 estrogen receptor (ER)-positive breast cancer patients who underwent surgery between 2003 and 2006 and received at least 2 years of ET, including tamoxifen and aromatase inhibitors MD was measured using Cumulus software 40 and expressed as a percentage MD reduction (MDR) was defined as the absolute difference in MD of mammograms taken preoperatively and 8-20 months after the start of ET At a median follow-up of 688 months, the overall breast cancer recurrence rate was 75% (80/1065) Mean MDR was 59% (range, -172% to 369%) Logistic regression analysis showed that age < 50 years, high preoperative MD, and long interval between start of ET to follow-up mammogram were significantly associated with larger MDR (p < 005) In a survival analysis, tumor size, lymph node positivity, high Ki-67 (≥ 10%), and low MDR were independent factors significantly associated with recurrence-free survival (p < 005) Compared with the group showing the greatest MDR (≥ 10%), the hazard ratios for MDRs of 5-10%, 0-5%, and < 0% were 133, 192, and 226, respectively MD change during short-term use of adjuvant ET was a significant predictor of long-term recurrence in women with ER-positive breast cancer Effective treatment strategies are urgently needed in patients with low MDR despite about 1 year of ET

89 citations

Journal ArticleDOI
TL;DR: The signaling mechanism is selective mercuration of the 4',5'-position of the xanthene moiety, which results in efficient chromogenic and fluorogenic signaling of Hg(2+) ions in aqueous environment.

89 citations

Journal ArticleDOI
TL;DR: The goal of this research was to identify an automated color model–based concrete detection method that can detect concrete structural components in color images with a high level of accuracy by using a machine learning algorithm.
Abstract: Concrete structural component detection in color images is a key pre-process in various applications such as construction progress measurement, structural health monitoring, and three-dimensional as-built modeling. The goal of this research was to identify an automated color model–based concrete detection method that (by using a machine learning algorithm) can detect concrete structural components in color images with a high level of accuracy. A data set consisting of more than 87 million pixels was generated from 108 images of concrete surfaces with a variety of surfaces. Transformations from the RGB color space to non-RGB color spaces were performed to increase separability between concrete and background classes and to achieve robustness to changes in illumination. To find the optimal combination of color space and machine learning algorithm, the performance of three machine learning algorithms (e.g., a Gaussian mixture model, an artificial neural network model, and a support vector machine mod...

89 citations

Journal ArticleDOI
TL;DR: The results indicate that information regarding the expression of ion channels in tumor pathology could provide new targets for therapy in human cancers.
Abstract: Ion channels play a critical role in a wide variety of biological processes, including the development of human cancer. However, the overall impact of ion channels on tumorigenicity in breast cancer remains controversial. We conduct microarray meta-analysis on 280 ion channel genes. We identify candidate ion channels that are implicated in breast cancer based on gene expression profiling. We test the relationship between the expression of ion channel genes and p53 mutation status, ER status, and histological tumor grade in the discovery cohort. A molecular signature consisting of ion channel genes (IC30) is identified by Spearman’s rank correlation test conducted between tumor grade and gene expression. A risk scoring system is developed based on IC30. We test the prognostic power of IC30 in the discovery and seven validation cohorts by both Cox proportional hazard regression and log-rank test. 22, 24, and 30 ion channel genes are found to be differentially expressed with a change in p53 mutation status, ER status, and tumor histological grade in the discovery cohort. We assign the 30 tumor grade associated ion channel genes as the IC30 gene signature. We find that IC30 risk score predicts clinical outcome (P < 0.05) in the discovery cohort and 6 out of 7 validation cohorts. Multivariate and univariate tests conducted in two validation cohorts indicate that IC30 is a robust prognostic biomarker, which is independent of standard clinical and pathological prognostic factors including patient age, lymph node status, tumor size, tumor grade, estrogen and progesterone receptor status, and p53 mutation status. We identified a molecular gene signature IC30, which represents a promising diagnostic and prognostic biomarker in breast cancer. Our results indicate that information regarding the expression of ion channels in tumor pathology could provide new targets for therapy in human cancers.

89 citations

Journal ArticleDOI
TL;DR: Fraxin recovered viability of HUVECs damaged by H2O2- treatment and reduced the lipid peroxidation and the internal reactive oxygen species level elevated by H 2O2 treatment and reverse transcription-PCR revealed that fraxin upregulated antiapoptotic genes and tumor suppressor gene.
Abstract: Coumarins comprise a group of natural phenolic compounds found in a variety of plant sources. In view of the established low toxicity, relative cheapness, presence in the diet and occurrence in various herbal remedies of coumarins, it appears prudent to evaluate their properties and applications further. The purpose of this study is to investigate cellular protective activity of coumarin compound, fraxin extracted from Weigela florida var. glabbra, under oxidative stress, to identify genes expressed differentially by fraxin and to compare antioxidative effect of fraxin with its structurally related chemicals. Of the coumarins, protective effects of fraxin against cytotoxicity induced by H2O2 were examined in human umbilical vein endothelial cells (HUVECs). Fraxin showed free radical scavenging effect at high concentration (0.5 mM) and cell protective effect against H2O2-mediated oxidative stress. Fraxin recovered viability of HUVECs damaged by H2O2-treatment and reduced the lipid peroxidation and the internal reactive oxygen species level elevated by H2O2 treatment. Differential display reverse transcription-PCR revealed that fraxin upregulated antiapoptotic genes (clusterin and apoptosis inhibitor 5) and tumor suppressor gene (ST13). Based on structural similarity comparing with fraxin, seven chemicals, fraxidin methyl ether (29.4% enhancement of viability), prenyletin (26.4%), methoxsalen (20.8%), diffratic acid (19.9%), rutoside (19.1%), xanthyletin (18.4%), and kuhlmannin (18.2%), enhanced more potent cell viability in the order in comparison with fraxin, which showed only 9.3% enhancement of cell viability. These results suggest that fraxin and fraxin-related chemicals protect HUVECs from oxidative stress.

89 citations


Authors

Showing all 13500 results

NameH-indexPapersCitations
Carl Nathan13543091535
Scheffer C.G. Tseng9333329213
Richard L. Sidman9329732009
H. Yamaguchi9037533135
Ajith Abraham86111331834
Byung Ihn Choi7860924925
Stefano Soatto7849923597
J. H. Kim7356623052
Daehee Kang7242223959
Lance M. McCracken7228118897
Masanobu Shinozuka6945621961
Seung U. Kim6435514269
Sug Hyung Lee6445421552
Seung U. Kim6312911983
Nam Jin Yoo6340312692
Network Information
Related Institutions (5)
Korea University
82.4K papers, 1.8M citations

98% related

Kyungpook National University
42.1K papers, 834.6K citations

97% related

Kyung Hee University
46.5K papers, 953.5K citations

97% related

Hanyang University
58.8K papers, 1.1M citations

97% related

Seoul National University
138.7K papers, 3.7M citations

97% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202362
2022204
20212,535
20202,301
20192,140
20181,991