Network


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

Hotspot


Dive into the research topics where Giu-Cheng Hsu is active.

Publication


Featured researches published by Giu-Cheng Hsu.


Endocrine-related Cancer | 2007

Anthropometric measures, plasma adiponectin, and breast cancer risk

Yu-Feng Tian; Chi-Hong Chu; Mei-Hsuan Wu; Chia-Lin Chang; Tsan Yang; Yu-Ching Chou; Giu-Cheng Hsu; Cheng-Ping Yu; Jyh-Cherng Yu; Chien-An Sun

Adiponectin is a peptide hormone secreted exclusively by adipocytes, and obesity is an established risk factor for breast cancer. We have, thus, evaluated the associations of anthropometric measures of adiposity and adiponectin with the development of breast cancer in a case-control study. Questionnaire information, anthropometric measures, and blood samples were taken before treatment from 244 incident cases with breast cancer, including 141 premenopausal and 103 postmenopausal cases, and 244 controls admitted for health examination at the Tri-Service General Hospital, Taipei between 2004 and 2005. Plasma levels of adiponectin were measured by RIA. The relationship between anthropometric measures of adiposity and breast cancer risk was modified by menopausal status, with a significant increase in risk observed in postmenopausal but not premenopausal women. Moreover, a fairly robust inverse association of adiponectin with the risk was observed only in postmenopausal women (adjusted odds ratio (OR), 0.55; 95% confidence interval (CI), 0.23-0.97), but not in premenopausal women. Additionally, the plasma adiponectin levels tended to be inversely associated with estrogen receptor (ER)-positive (adjusted OR, 0.53; 95% CI, 0.27-0.98) but not ER-negative breast tumors. Furthermore, the associations of adiponectin with breast cancer risk overall and by menopausal and ER status remained after adjustment for obesity indices. These results suggest that adiponectin may have an independent role in breast carcinogenesis, particularly in the postmenopausal and ER-positive breast cancer risk.


Cancer Epidemiology, Biomarkers & Prevention | 2007

Breast Cancer Risk Is Associated with the Genes Encoding the DNA Double-Strand Break Repair Mre11/Rad50/Nbs1 Complex

Huan-Ming Hsu; Hui-Chun Wang; Sou-Tong Chen; Giu-Cheng Hsu; Chen-Yang Shen; Jyh-Cherng Yu

The evolutionarily conserved Mre11-Rad50-Nbs1 (MRN) complex, consisting of proteins encoded by the genes Mre11, Rad50, and Nbs1, was recently shown to play a crucial role in DNA double-strand break (DSB) repair by recruiting the nuclear protein kinase ataxia telangiectasia mutated to DSB sites, leading to activation of this DNA repair network. Given the fact that carriers of defective mutation and polymorphic variants of ataxia telangiectasia mutated are at higher risk of developing breast cancer, we hypothesized a role of the MRN genes in determining breast cancer susceptibility. This hypothesis was examined both in a case control study of 559 breast cancer patients and 1,125 healthy women of single-nucleotide polymorphisms in Mre11, Rad50, and Nbs1 and by the in vivo detection of binding between Mre11 and BRCA1, encoded by the breast cancer susceptibility gene BRCA1. We were also interested in defining whether any association between MRN genes and breast cancer was modified by reproductive risk factors reflecting the level of estrogen exposure or susceptibility to estrogen exposure, as estrogen is known to initiate breast cancer development due to its metabolites causing DSB formation. Support for the hypothesis came from the observations that (a) one single-nucleotide polymorphism in Nbs1 was significantly associated with breast cancer risk, and a trend toward an increased risk of developing breast cancer was found in women harboring a greater number of putative high-risk genotypes of MRN genes (an adjusted odds ratio of 1.25 for each additional putative high-risk genotype; 95% confidence interval, 1.10-1.44); (b) this association between risk and the number of putative high-risk genotypes was stronger and more significant in women thought to be more susceptible to estrogen, i.e., those with no history of full-term pregnancy, those older (≥26 years of age) at first full-term pregnancy, or those having had fewer (<2) full-term pregnancies; the risk effect conferred by harboring a higher number of high-risk genotypes of MRN genes was more significant in women without a history of breast feeding; and (c) Mre11 and BRCA1 were shown to form a complex in vivo, and this interaction was increased by irradiation. This study supports the role of the MRN pathway in breast cancer development, further strengthening the suggestion that mechanisms regulating DSB repair may play a mutator role driving breast cancer pathogenesis. (Cancer Epidemiol Biomarkers Prev 2007;6(10):2024–32)


Carcinogenesis | 2009

Genetic variants of BLM interact with RAD51 to increase breast cancer susceptibility

Shian-ling Ding; Jyh-Cherng Yu; Shou-Tung Chen; Giu-Cheng Hsu; Shou-Jen Kuo; Yu Hsin Lin; Pei-Ei Wu; Chen-Yang Shen

The role of the familial breast cancer susceptibility genes, BRCA1 and BRCA2, in the homologous recombination (HR) pathway for DNA double-strand break (DSB) repair suggests that the mechanisms involved in HR and DNA DSB repair are of etiological importance during breast tumorigenesis. Bloom (BLM) helicase directly interacts with RAD51 recombinase, which is involved in regulating HR, and it is thus of particular interest to examine whether this interaction is associated with breast cancer susceptibility. This single-nucleotide polymorphism (SNP)-based case-control study was performed to examine this hypothesis using specimens from 933 patients with breast cancer and 1539 healthy controls. The results showed that one SNP (rs2380165) in BLM and two (rs2412546 and rs4417527) in RAD51 were associated with breast cancer risk. Furthermore, haplotype and diplotype analyses based on combinations of five SNPs in RAD51 revealed a strong association between RAD51 polymorphisms and breast cancer risk (P < 0.05). Support for the interaction between BLM and RAD51 in determining breast cancer risk came from the finding that the association between cancer risk and at-risk genotypes/haplotype pairs of RAD51 was stronger and more significant in women harboring homozygous variant alleles of BLM (P for interaction < 0.05). Interestingly, not only the intronic SNP located within the region encoding the helicase domain of BLM but also those within the RAD51-interaction domain-encoding region showed an interaction with RAD51 polymorphisms in determining breast cancer susceptibility. Our results suggest a contribution of BLM and RAD51 to breast cancer development and provide support for the tumorigenic significance of the functional interaction between these two HR proteins.


Carcinogenesis | 2009

Genetic susceptibility to the development and progression of breast cancer associated with polymorphism of cell cycle and ubiquitin ligase genes.

Jyh-Cherng Yu; Shian-ling Ding; Chih-Hao Chang; Shu-Hsin Kuo; Shou-Tung Chen; Giu-Cheng Hsu; Huan-Ming Hsu; Ming-Feng Hou; Lin Yi Jung; Chun-Wen Cheng; Pei-Ei Wu; Chen-Yang Shen

Tumor levels of the cell cycle regulators cyclin E and p27 correlate strongly with survival in breast cancer patients and are specifically regulated by the ubiquitin ligases hCDC4 and SKP2. This study was to explore whether genetic susceptibility to breast cancer is associated with polymorphism of these genes and whether gene-gene and gene-risk factor [i.e. full-term pregnancy (FTP)] interactions are important in determining cancer risk. A two-stage case-control study based on single-nucleotide polymorphisms was performed. The first study (560 cases and 1122 controls) was to define the contribution of cell cycle and ubiquitin ligase genes to cancer susceptibility. The second study (926 cases and 923 controls) was to confirm the association identified in the first stage and to map the variant alleles. Increased breast cancer risk was associated with both polymorphism of hCDC4 and a joint effect of cyclin E and hCDC4. These associations were more significant in nulliparous women, and cancer risk associated with a lower number of FTPs was only seen in women with a higher number of high-risk genotypes, providing support for an effect of gene-risk factor interaction in determining susceptibility. Sequence variants of intron 2 in hCDC4 were found to be the most significant polymorphism and high-stage estrogen receptor (ER)-negative patients carrying the homozygous variant genotype manifested significantly poorer survival. This study concludes that polymorphism of hCDC4 is a risk factor for breast cancer development by interacting with either cyclin E or FTP and may also prove useful in predicting progression of patients with high-stage and ER-negative breast cancers.


Cancer Epidemiology, Biomarkers & Prevention | 2007

Genetic Variation in the Premature Aging Gene WRN: A Case-Control Study on Breast Cancer Susceptibility

Shian-ling Ding; Jyh-Cherng Yu; Shou-Tung Chen; Giu-Cheng Hsu; Chen-Yang Shen

The high risk of developing cancer seen in human genetic diseases that resemble accelerated aging provides support for a tumorigenic contribution of the mechanisms and genes responsible for regulating life span and aging. We therefore speculated that the WRN gene (encoding RECQL2, a DNA helicase), the germline mutation of which causes the progeroid disorder Werner syndrome, may be associated with breast tumorigenesis. This hypothesis was tested in this case-control study of 935 primary breast cancer patients and 1,545 healthy controls by examining single-nucleotide polymorphisms (SNPs) in WRN. We were also interested in knowing whether any identified association between WRN and breast cancer was modified by reproductive risk factors reflecting susceptibility to estrogen exposure. Our hypothesis is that because estrogen is known to promote breast cancer development via its mitogenic effect leading to cell proliferation, and because WRN is an essential gene, as its suboptimal function leads to a severe decrease in proliferation, estrogen stimulation may have a protective effect on cells harboring variant WRN, allowing them to survive and proliferate for the prolonged period needed for tumor formation. Support for this hypothesis came from the following observations: (a) one SNP in WRN was significantly associated with breast cancer risk (P = 0.002); (b) haplotype and diplotype analyses, based on different combinations of multiple SNPs in WRN, revealed a strong association with breast cancer risk; (c) this association between risk and putative high-risk genotypes was stronger and more significant in women with a longer interval between menarche and first full-term pregnancy; and (d) the protective effect conferred by having a higher number of full-term pregnancy was only significant in women with homozygous or heterozygous wild-type WRN genotypes. This study provides support for the tumorigenic role of WRN in breast cancer development, suggesting that breast cancer can be driven by the aging associated with variant WRN, the tumorigenic contribution of which might be enhanced as a result of increased cell growth due to estrogen exposure. (Cancer Epidemiol Biomarkers Prev 2007;16(2):263–9)


Breast Cancer Research | 2011

Genetic variation in the genome-wide predicted estrogen response element-related sequences is associated with breast cancer development

Jyh-Cherng Yu; Chia-Ni Hsiung; Huan-Ming Hsu; Bo-Ying Bao; Shou-Tung Chen; Giu-Cheng Hsu; Wen-Cheng Chou; Ling-Yueh Hu; Shian-ling Ding; Chun-Wen Cheng; Pei-Ei Wu; Chen-Yang Shen

IntroductionEstrogen forms a complex with the estrogen receptor (ER) that binds to estrogen response elements (EREs) in the promoter region of estrogen-responsive genes, regulates their transcription, and consequently mediates physiological or tumorigenic effects. Thus, sequence variants in EREs have the potential to affect the estrogen-ER-ERE interaction. In this study, we examined the hypothesis that genetic variations of EREs are associated with breast cancer development.MethodsThis case-control study involved 815 patients of Asian descent with incident breast cancer and 821 healthy female controls. A total of 13,737 ERE sites in the whole genome predicted by a genome-wide computational algorithm were blasted with single-nucleotide polymorphism (SNP) sequences. Twenty-one SNPs located within 2,000 bp upstream or within introns 1 and 2 of putative genes and with a minor allele frequency greater than 5% were identified and genotyped. Frequencies of SNPs were compared between cases and controls to identify SNPs associated with cancer susceptibility.ResultsA significant combined effect of rs12539530, an ERE SNP in intron 2 of NRCAM which codes for a cell adhesion molecule, and SNPs of ESR1, the gene coding for ER, on breast cancer risk was found. Interestingly, this combined effect was more significant in women who had experienced a longer period of lifetime estrogen exposure, supporting a hormonal etiology of this SNP in breast tumorigenesis.ConclusionsOur findings provide support for a role of genetic variation in ERE-ESR1 in determining susceptibility of breast cancer development.


Neural Networks | 2003

Classification of clustered microcalcifications using a Shape Cognitron neural network

San-Kan Lee; Pau-Choo Chung; Chein-I Chang; Chien-Shun Lo; Tain Lee; Giu-Cheng Hsu; Chin-Wen Yang

A new shape recognition-based neural network built with universal feature planes, called Shape Cognitron (S-Cognitron) is introduced to classify clustered microcalcifications. The architecture of S-Cognitron consists of two modules and an extra layer, called 3D figure layer lies in between. The first module contains a shape orientation layer, built with 20 cell planes of low level universal shape features to convert first-order shape orientations into numeric values, and a complex layer, to extract second-order shape features. The 3D figure layer is a feature extract-display layer that extracts the shape curvatures of an input pattern and displays them as a 3D figure. It is then followed by a second module made up of a feature formation layer and a probabilistic neural network-based classification layer. The system is evaluated by using Nijmegen mammogram database and experimental results show that sensitivity and specificity can reach 86.1 and 74.1%, respectively.


Clinical Cancer Research | 2010

Diverse Associations between ESR1 Polymorphism and Breast Cancer Development and Progression

Shian-ling Ding; Jyh-Cherng Yu; Shou-Tung Chen; Giu-Cheng Hsu; Huan-Ming Hsu; Jar Yi Ho; Yu Hsin Lin; Chien-Ching Chang; Cathy S.J. Fann; Chun-Wen Cheng; Pei-Ei Wu; Chen-Yang Shen

Purpose: To test the hypothesis that polymorphisms of ESR1, the gene encoding estrogen receptor α (ERα), are associated with susceptibility, clinical phenotype, and progression of breast cancer. Patients and Methods: A case-control study was done on 940 patients with incident breast cancer and 1,547 healthy female controls. Fifteen single-nucleotide polymorphisms (SNP) selected from chr6:152,170,379-152,466,100 (exons 1–8 of the ESR1 gene, excluding flanking sequences), reflecting major polymorphisms of this gene, were genotyped. Frequencies of SNPs were compared between cases and controls to identify SNPs associated with cancer susceptibility and between cases with different clinical phenotypes to determine the role of ESR1 polymorphism in cancer progression. Results: SNPs located in one cluster in intron 1 and one haplotype, based on these SNPs, showed a significant association with breast cancer susceptibility. The tumorigenic contribution of these intron 1 SNPs was more obvious in combination with reproductive risk factors (P for interaction <0.05). One of these intron 1 SNPs was also significantly associated with low ERα expression in tumors. Interestingly, the same intron 1 SNPs showed a correlation with worse clinical phenotypes, including poor differentiation of tumor cells and a late stage. These intron 1 SNPs also showed a significant association with the 5-year breast cancer–specific survival rate of patients, but had opposite effects in ERα-negative and ERα-positive early-stage patients. Conclusions: Our findings provide support for diverse roles of ESR1 polymorphism in determining susceptibility in different stages of breast cancer. The differences between the important ESR1 SNPs identified in Chinese women in this study and those identified in studies on Western women with breast cancer suggest different roles of ERα in these two populations. Clin Cancer Res; 16(13); 3473–84. ©2010 AACR.


Korean Journal of Radiology | 2011

Incidentally Detected Enhancing Breast Lesions on Chest Computed Tomography

Wen-Chiung Lin; Hsian-He Hsu; Chao-Shiang Li; Jyh-Cherng Yu; Giu-Cheng Hsu; Cheng-Ping Yu; Tsun-Hou Chang; Guo-Shu Huang

Objective To evaluate the nature and imaging appearance of incidental enhancing breast lesions detected on a routine contrast-enhanced chest CT. Materials and Methods Twenty-three patients with incidental enhancing breast lesions on contrast-enhanced chest CT were retrospectively reviewed. The breast lesions were reviewed by unenhanced and enhanced CT, and evaluated by observing the shapes, margins, enhancement patterns and backgrounds of breast lesions. A histopathologic diagnosis or long-term follow-up served as reference standard. Results Sixteen (70%) patients had malignant breast lesions and seven (30%) had benign lesions. In 10 patients, the breast lesions were exclusively detected on contrast-enhanced CT. Using unenhanced CT, breast lesions with fibroglandular backgrounds were prone to be obscured (p < 0.001). Incidental primary breast cancer showed an non-significant trend of a higher percentage irregular margin (p = 0.056). All of the four incidental breast lesions with non-mass-like enhancement were proven to be malignant. Conclusion Routine contrast-enhanced chest CT can reveal sufficient details to allow for the detection of unsuspected breast lesions, in which some cases may be proven as malignant. An irregular margin of incidental enhancing breast lesion can be considered a suggestive sign of malignancy.


Breast Journal | 2008

A Late Complication of Augmentation Mammoplasty by Polyacrylamide Hydrogel Injection: Ultrasound and Magnetic Resonance Imaging Findings of Huge Galactocele Formation in a Puerperal Woman with Pathological Correlation

Wen-Chiung Lin; Giu-Cheng Hsu; Yi-Chih Hsu; Hsian-He Hsu; Chao-Shiang Li; Tom Yun-Cheng Chen; Guo-Shu Huang

Abstract:  Polyacrylamide hydrogel (PAAG) was widely used for injection augmentation mammoplasty in Eastern Europe and China although uncommon in the western countries. However, the safety of this procedure remained controversial. Herein, we report a 30‐year‐old woman with a history of augmentation mammoplasty by PAAG injection developed galactoceles during her pregnancy. Ultrasound and magnetic resonance imaging showed huge cystic lesions in bilateral breasts; as a result, the normal breast tissue was almost completely replaced. On the basis of the imaging findings, the patient underwent mastectomy as well as immediate breast reconstruction with satisfactory outcome. It is important to be familiar with the imaging findings of this rare yet severe complication after augmentation mammoplasty in order to make an accurate diagnosis and a proper management.

Collaboration


Dive into the Giu-Cheng Hsu's collaboration.

Top Co-Authors

Avatar

Jyh-Cherng Yu

Tri-Service General Hospital

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Hsian-He Hsu

National Defense Medical Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Cheng-Ping Yu

National Defense Medical Center

View shared research outputs
Top Co-Authors

Avatar

Shou-Tung Chen

National Taiwan University

View shared research outputs
Top Co-Authors

Avatar

Tsun-Hou Chang

National Defense Medical Center

View shared research outputs
Top Co-Authors

Avatar

Yu-Ching Chou

National Defense Medical Center

View shared research outputs
Top Co-Authors

Avatar

Chen-Pin Chou

National Yang-Ming University

View shared research outputs
Top Co-Authors

Avatar

Guo-Shu Huang

National Defense Medical Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge