Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Fu-Yen Chung is active.

Publication


Featured researches published by Fu-Yen Chung.


BioMed Research International | 2013

DPYD, TYMS, TYMP, TK1, and TK2 Genetic Expressions as Response Markers in Locally Advanced Rectal Cancer Patients Treated with Fluoropyrimidine-Based Chemoradiotherapy

Ming-Yii Huang; Chan-Han Wu; Chun-Ming Huang; Fu-Yen Chung; Ching-Wen Huang; Hsiang-Lin Tsai; Chin-Fan Chen; Shiu-Ru Lin; Jaw-Yuan Wang

This study is to investigate multiple chemotherapeutic agent- and radiation-related genetic biomarkers in locally advanced rectal cancer (LARC) patients following fluoropyrimidine-based concurrent chemoradiotherapy (CCRT) for response prediction. We initially selected 6 fluoropyrimidine metabolism-related genes (DPYD, ORPT, TYMS, TYMP, TK1, and TK2) and 3 radiotherapy response-related genes (GLUT1, HIF-1 α, and HIF-2 α) as targets for gene expression identification in 60 LARC cancer specimens. Subsequently, a high-sensitivity weighted enzymatic chip array was designed and constructed to predict responses following CCRT. After CCRT, 39 of 60 (65%) LARC patients were classified as responders (pathological tumor regression grade 2 ~ 4). Using a panel of multiple genetic biomarkers (chip), including DPYD, TYMS, TYMP, TK1, and TK2, at a cutoff value for 3 positive genes, a sensitivity of 89.7% and a specificity of 81% were obtained (AUC: 0.915; 95% CI: 0.840–0.991). Negative chip results were significantly correlated to poor CCRT responses (TRG 0-1) (P = 0.014, hazard ratio: 22.704, 95% CI: 3.055–235.448 in multivariate analysis). Disease-free survival analysis showed significantly better survival rate in patients with positive chip results (P = 0.0001). We suggest that a chip including DPYD, TYMS, TYMP, TK1, and TK2 genes is a potential tool to predict response in LARC following fluoropyrimidine-based CCRT.


International Journal of Molecular Sciences | 2013

Significant Overexpression of DVL1 in Taiwanese Colorectal Cancer Patients with Liver Metastasis

Ming-Yii Huang; Li-Chen Yen; Hsueh-Chiao Liu; Po-Ping Liu; Fu-Yen Chung; Tsu-Nai Wang; Jaw-Yuan Wang; Shiu-Ru Lin

Undetected micrometastasis plays a key role in the metastasis of cancer in colorectal cancer (CRC) patients. The aim of this study is to identify a biomarker of CRC patients with liver metastasis through the detection of circulating tumor cells (CTCs). Microarray and bioinformatics analysis of 10 CRC cancer tissue specimens compared with normal adjacent tissues revealed that 31 genes were up-regulated (gene expression ratio of cancer tissue to paired normal tissue > 2) in the cancer patients. We used a weighted enzymatic chip array (WEnCA) including 31 prognosis-related genes to investigate CTCs in 214 postoperative stage I–III CRC patients and to analyze the correlation between gene expression and clinico-pathological parameters. We employed the immunohistochemistry (IHC) method with polyclonal mouse antibody against DVL1 to detect DVL1 expression in 60 CRC patients. CRC liver metastasis occurred in 19.16% (41/214) of the patients. Using univariate analysis and multivariate proportional hazards regression analysis, we found that DVL1 mRNA overexpression had a significant, independent predictive value for liver metastasis in CRC patients (OR: 5.764; 95% CI: 2.588–12.837; p < 0.0001 on univariate analysis; OR: 3.768; 95% CI: 1.469–9.665; p = 0.006 on multivariate analysis). IHC staining of the immunoreactivity of DVL1 showed that DVL1 was localized in the cytoplasm of CRC cells. High expression of DVL1 was observed in 55% (33/60) of CRC tumor specimens and was associated significantly with tumor depth, perineural invasion and liver metastasis status (all p < 0.05). Our experimental results demonstrated that DVL1 is significantly overexpressed in CRC patients with liver metastasis, leading us to conclude that DVL1 could be a potential prognostic and predictive marker for CRC patients.


Biomarkers and Genomic Medicine | 2013

Rapid detection of gene expression by a colorectal cancer Enzymatic Gene Chip Detection Kit

Chan-Han Wu; Fu-Yen Chung; Jia-Yuan Chang; Jaw-Yuan Wang


Genomic Medicine, Biomarkers, and Health Sciences | 2012

The use of multiple molecular markers as predictors of the clinical prognosis of patients with colorectal cancer

Ting-Chen Tung; Shiu-Ru Lin; Jaw-Yuan Wang; Fu-Yen Chung


Genomic Medicine, Biomarkers, and Health Sciences | 2012

Effectiveness of great burdock essence compounds in the adjuvant treatment of gastric ulcer patients infected with Helicobacter pylori

Hsueh-Chiao Liu; Ming-Kun Ku; Fu-Yen Chung; Ching-Chiang Lin; Shiu-Ru Lin


Genomic Medicine, Biomarkers, and Health Sciences | 2012

Development of great burdock essence compounds

Ching-Hui Wang; Fu-Yen Chung; Tong-Rong Tsai; Shiu-Ru Lin; Hsueh-Chiao Liu


Genomic Medicine, Biomarkers, and Health Sciences | 2012

Internal transcribed spacer sequence analysis of Angelica from different habitats

Hsiao-Chun Hao; Jia-Yuan Chang; Fu-Yen Chung


Archive | 2013

Anordnung zum schnellen Diagnostizieren der Tuberkulose und zum Testen der pharmazeutischen Wirkung Arrangement for quick diagnosing tuberculosis and to test the pharmaceutical effect

Fu-Yen Chung; Shiu-Ru Lin; Hui-Jen Chang; Ia-Tang Huang


Archive | 2013

Method of Fast Tuberculosis Diagnosis and Efficacy Test

Fu-Yen Chung; Shiu-Ru Lin; Hui-Jen Chang; Ia-Tang Huang


Annals of Oncology | 2013

Poster session 4. Molecular diagnosis & biomarkers

J. A. Lynch; C-M. Choi; Young-Soo Park; Ju-Kyung Lee; M. J. Park; H. R. Kim; Neng-Yao Shih; G. C. Chang; S. W. Tseng; Ko-Jiunn Liu; K. C. Hsiao; H. C. Lin; J. Y. Wang; H. L. Tsai; V. Barak; Yun Ju Chen; Y. L. Hsieh; P. H. Chien; Yu Fong Chien; Wei Chien Huang; S. R. Lin; Fu-Yen Chung; Li-Chen Yen; O. Rixe; A. M. Salkeni; J. M. Furgason; C. McPherson; R. Warnick; M. Bahassi; T. A. Hembrough

Collaboration


Dive into the Fu-Yen Chung's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jaw-Yuan Wang

Kaohsiung Medical University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Hsiang-Lin Tsai

Kaohsiung Medical University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ming-Yii Huang

Kaohsiung Medical University

View shared research outputs
Researchain Logo
Decentralizing Knowledge