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Dive into the research topics where Shinsheng Yuan is active.

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Featured researches published by Shinsheng Yuan.


Nature Communications | 2014

Cancer-associated fibroblasts regulate the plasticity of lung cancer stemness via paracrine signalling

Wan-Jiun Chen; Chao-Chi Ho; Yih-Leong Chang; Hsuan-Yu Chen; Chih-An Lin; Thai-Yen Ling; Sung-Liang Yu; Shinsheng Yuan; Yu-Ju Louisa Chen; Chien-Yu Lin; Szu-Hua Pan; Han-Yi Elizabeth Chou; Yu-Ju Chen; Gee-Chen Chang; Wen-Cheng Chu; Yee-Ming Lee; Jen-Yi Lee; Pei-Jung Lee; Ker-Chau Li; Huei-Wen Chen; Pan-Chyr Yang

Cancer stem cells (CSCs) are a promising target for treating cancer, yet how CSC plasticity is maintained in vivo is unclear and is difficult to study in vitro. Here we establish a sustainable primary culture of Oct3/4(+)/Nanog(+) lung CSCs fed with CD90(+) cancer-associated fibroblasts (CAFs) to further advance our knowledge of preserving stem cells in the tumour microenvironment. Using transcriptomics we identify the paracrine network by which CAFs enrich CSCs through de-differentiation and reacquisition of stem cell-like properties. Specifically, we find that IGF1R signalling activation in cancer cells in the presence of CAFs expressing IGF-II can induce Nanog expression and promote stemness. Moreover, this paracrine signalling predicts overall and relapse-free survival in stage I non-small cell lung cancer (NSCLC) patients. IGF-II/IGF1R signalling blockade inhibits Nanog expression and attenuates cancer stem cell features. Our data demonstrate that CAFs constitute a supporting niche for cancer stemness, and targeting this paracrine signalling may present a new therapeutic strategy for NSCLC.


PLOS ONE | 2013

Effect of Parenteral Selenium Supplementation in Critically Ill Patients: A Systematic Review and Meta-Analysis

Ting-Shuo Huang; Yu Chiau Shyu; Huang-Yang Chen; Li-Mei Lin; Chia-Ying Lo; Shinsheng Yuan; Pei-Jer Chen

Background It is currently unclear whether parenteral selenium supplementation should be recommended in the management of critically ill patients. Here we conducted a systematic review and meta-analysis to assess the efficacy of parenteral selenium supplementation on clinical outcomes. Methods/Principal Findings Randomized trials investigating parenteral selenium supplementation administered in addition to standard of care to critically ill patients were included. CENTRAL, Medline, EMBASE, the Science Citation Index, and CINAHL were searched with complementary manual searches. The primary outcome was all-cause mortality. Trials published in any language were included. Two authors independently extracted data and assessed trial quality. A third author was consulted to resolve disagreements and for quality assurance. Twelve trials were included and meta-analysis was performed on nine trials that recruited critically ill septic patients. These comprised 965 participants in total. Of these, 148 patients (30.7%) in the treatment groups, and 180 patients (37.3%) in control groups died. Parenteral selenium treatment significantly reduced all-cause mortality in critically ill patients with sepsis (relative risk [RR] 0.83, 95% CI 0.70–0.99, p = 0.04, I2 = 0%). Subgroup analyses demonstrated that the administration schedule employing longer duration (RR 0.77, 95% CI 0.63–0.94, p = 0.01, I2 = 0%), loading boluses (RR 0.73, 95% CI 0.58–0.94, p = 0.01, I2 = 0%) or high-dose selenium treatment (RR 0.77, 95% CI 0.61–0.99, p = 0.04, I2 = 0%) might be associated with a lower mortality risk. There was no evidence of adverse events. Conclusions/Significance Parenteral selenium supplementation reduces risk of mortality among critically ill patients with sepsis. Owing to the varied methodological quality of the studies, future high-quality randomized trials that directly focus on the effect of adequate-duration of parenteral selenium supplementation for severe septic patients are needed to confirm our results. Clinicians should consider these findings when treating this high-risk population. Systematic Review Registration PROSPERO 2011; CRD42011001768


Clinical Cancer Research | 2009

A Four-Gene Signature from NCI-60 Cell Line for Survival Prediction in Non–Small Cell Lung Cancer

Yi-Chiung Hsu; Shinsheng Yuan; Hsuan-Yu Chen; Sung-Liang Yu; Chia-Hsin Liu; Pin-Yen Hsu; Guani Wu; Chia-Hung Lin; Gee-Chen Chang; Ker-Chau Li; Pan-Chyr Yang

Purpose: Metastasis is the main cause of mortality in non–small cell lung cancer (NSCLC) patients. Genes that can discriminate the invasion ability of cancer cells may become useful candidates for clinical outcome prediction. We identify invasion-associated genes through computational and laboratorial approach that supported this idea in NSCLC. Experimental Design: We first conducted invasion assay to characterize the invasion abilities of NCI-60 lung cancer cell lines. We then systematically exploited NCI-60 microarray databases to identify invasion-associated genes that showed differential expression between the high and the low invasion cell line groups. Furthermore, using the microarray data of Duke lung cancer cohort (GSE 3141), invasion-associated genes with good survival prediction potentials were obtained. Finally, we validated the findings by conducting quantitative PCR assay on an in-house collected patient group (n = 69) and by using microarray data from two public western cohorts (n = 257 and 186). Results: The invasion-associated four-gene signature (ANKRD49, LPHN1, RABAC1, and EGLN2) had significant prediction in three validation cohorts (P = 0.0184, 0.002, and 0.017, log-rank test). Moreover, we showed that four-gene signature was an independent prognostic factor (hazard ratio, 2.354, 1.480, and 1.670; P = 0.028, 0.014, and 0.033), independent of other clinical covariates, such as age, gender, and stage. Conclusion: The invasion-associated four-gene signature derived from NCI-60 lung cancer cell lines had good survival prediction power for NSCLC patients. (Clin Cancer Res 2009;15(23):7309–15)


Nucleic Acids Research | 2009

Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae.

Ching-Ti Liu; Shinsheng Yuan; Ker-Chau Li

Many successful functional studies by gene expression profiling in the literature have led to the perception that profile similarity is likely to imply functional association. But how true is the converse of the above statement? Do functionally associated genes tend to be co-regulated at the transcription level? In this paper, we focus on a set of well-validated yeast protein complexes provided by Munich Information Center for Protein Sequences (MIPS). Using four well-known large-scale microarray expression data sets, we computed the correlations between genes from the same complex. We then analyzed the relationship between the distribution of correlations and the complex size (the number of genes in a protein complex). We found that except for a few large protein complexes, such as mitochondrial ribosomal and cytoplasmic ribosomal proteins, the correlations are on the average not much higher than that from a pair of randomly selected genes. The global impact of large complexes on the expression of other genes in the genome is also studied. Our result also showed that the expression of over 85% of the genes are affected by six large complexes: the cytoplasmic ribosomal complex, mitochondrial ribosomal complex, proteasome complex, F0/F1 ATP synthase (complex V) (size 18), rRNA splicing (size 24) and H+- transporting ATPase, vacular (size 15).


Journal of Clinical Oncology | 2015

R331W Missense Mutation of Oncogene YAP1 Is a Germline Risk Allele for Lung Adenocarcinoma With Medical Actionability

Hsuan Yu Chen; Sung-Liang Yu; Bing Ching Ho; Kang-Yi Su; Yi Chiung Hsu; Chi Sheng Chang; Yu Cheng Li; Shi Yi Yang; Pin Yen Hsu; Hao Ho; Ya Hsuan Chang; Chih Yi Chen; Hwai I. Yang; Chung Ping Hsu; Tsung Ying Yang; Kun Chieh Chen; Kuo Hsuan Hsu; Jeng Sen Tseng; Jiun Yi Hsia; Cheng Yen Chuang; Shinsheng Yuan; M.-H. Lee; Chia Hsin Liu; Guan I. Wu; Chao A. Hsiung; Yuh-Min Chen; Chih Liang Wang; Ming Shyan Huang; Chong-Jen Yu; Kuan-Yu Chen

PURPOSE Adenocarcinoma is the most dominant type of lung cancer in never-smoker patients. The risk alleles from genome-wide association studies have small odds ratios and unclear biologic roles. Here we have taken an approach featuring suitable medical actionability to identify alleles with low population frequency but high disease-causing potential. PATIENTS AND METHODS Whole-genome sequencing was performed for a family with an unusually high density of lung adenocarcinoma with available DNA from the affected mother, four affected daughters, and one nonaffected son. Candidate risk alleles were confirmed by matrix-assisted laser desorption ionization time of flight mass spectroscopy. Validation was conducted in an external cohort of 1,135 participants without cancer and 1,312 patients with lung adenocarcinoma. Family follow-ups were performed by genotyping the relatives of the original proband and the relatives of the identified risk-allele carriers. Low-dose computed tomography scans of the chest were evaluated for lung abnormalities. RESULTS YAP1 R331W missense mutation from the original family was identified and validated in the external controls and the cohort with lung adenocarcinoma. The YAP1 mutant-allele carrier frequency was 1.1% in patients with lung adenocarcinoma compared with 0.18% in controls (P = .0095), yielding an odds ratio (adjusted for age, sex, and smoking status) of 5.9. Among the relatives, YAP1-mutant carriers have overwhelmingly higher frequencies of developing lung adenocarcinoma or ground-glass opacity lung lesions than those who do not carry the mutation (10:0 v 1:7; P < .001). YAP1 mutation was shown to increase the colony formation ability and invasion potential of lung cancer cells. CONCLUSION These results implicated YAP1 R331W as an allele predisposed for lung adenocarcinoma with high familial penetrance. Low-dose computed tomography scans may be recommended to this subpopulation, which is at high risk for lung cancer, for personalized prevention and health management.


Journal of Clinical Oncology | 2011

Clustered Genomic Alterations in Chromosome 7p Dictate Outcomes and Targeted Treatment Responses of Lung Adenocarcinoma With EGFR-Activating Mutations

Shinsheng Yuan; Sung-Liang Yu; Hsuan Yu Chen; Yi Chiung Hsu; Kang-Yi Su; Huei-Wen Chen; Chih Yi Chen; Chong-Jen Yu; Jin-Yuan Shih; Yih-Leong Chang; Chiou Ling Cheng; Chung Ping Hsu; Jiun Yi Hsia; Chien Yu Lin; Guani Wu; Chia Hsin Liu; Chin Di Wang; Kang Chung Yang; Yi Wei Chen; Yi Ling Lai; Chu Chun Hsu; Tai Ching Lin; Tsung Ying Yang; Kun Cheieh Chen; Kuo Hsuan Hsu; Jeremy J.W. Chen; Gee Chen Chang; Ker-Chau Li; Pan-Chyr Yang

PURPOSE Although epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have been proven more effective for patients with lung adenocarcinoma with EGFR-activating mutation rather than wild type, the former group still includes approximately 30% nonresponders. The molecular basis of this substantial response heterogeneity is unknown. Our purpose was to seek molecular aberrations contributing to disease progression at the genome-wide level and identify the prognostic signature unique to patients with EGFR-activating mutation. PATIENTS AND METHODS We first investigated the molecular differences between tumors with EGFR-activating mutation and wild-type tumors by conducting high-density array comparative genomic hybridization on a collection of 138 adenocarcinoma tissues. We then used an independent group of 114 patients to validate the clinical relevance of copy-number alterations (CNAs) in predicting overall and disease-free survival. Finally, focusing on 23 patients with EGFR mutation receiving EGFR-TKI treatment, we investigated the association between CNAs and response to EGFR-TKIs. RESULTS We identified chromosome regions with differential CNAs between tumors with EGFR-activating mutation and wild-type tumors and found the aberration sites to cluster highly on chromosome 7p. A cluster of six representative chromosome 7p genes predicted overall and disease-free survival for patients with EGFR-activating mutation but not for those with wild type. Importantly, simultaneous presence of more genes with increased CNAs in this cluster correlated with less favorable response to EGFR-TKIs in patients with EGFR-activating mutation. CONCLUSION Our results shed light on why responses to EGFR-TKIs are heterogeneous among patients with EGFR-activating mutation. They may lead to better patient management in this population.


Bioinformatics | 2013

Human protein–protein interaction prediction by a novel sequence-based co-evolution method

Chia Hsin Liu; Ker-Chau Li; Shinsheng Yuan

MOTIVATION Protein-protein interaction (PPI) plays an important role in understanding gene functions, and many computational PPI prediction methods have been proposed in recent years. Despite the extensive efforts, PPI prediction still has much room to improve. Sequence-based co-evolution methods include the substitution rate method and the mirror tree method, which compare sequence substitution rates and topological similarity of phylogenetic trees, respectively. Although they have been used to predict PPI in species with small genomes like Escherichia coli, such methods have not been tested in large scale proteome like Homo sapiens. RESULT In this study, we propose a novel sequence-based co-evolution method, co-evolutionary divergence (CD), for human PPI prediction. Built on the basic assumption that protein pairs with similar substitution rates are likely to interact with each other, the CD method converts the evolutionary information from 14 species of vertebrates into likelihood ratios and combined them together to infer PPI. We showed that the CD method outperformed the mirror tree method in three independent human PPI datasets by a large margin. With the arrival of more species genome information generated by next generation sequencing, the performance of the CD method can be further improved. AVAILABILITY Source code and support are available at http://mib.stat.sinica.edu.tw/LAP/tmp/CD.rar.


Genome Biology | 2007

Finding disease candidate genes by liquid association

Ker-Chau Li; Aarno Palotie; Shinsheng Yuan; Denis O. Bronnikov; Daniel Chen; Xuelian Wei; Oi-Wa Choi; Janna Saarela; Leena Peltonen

A novel approach to finding candidate genes by using gene expression data through liquid association is developed and used to identify multiple sclerosis susceptibility candidate genes.


Journal of Affective Disorders | 2016

Attention-deficit hyperactivity disorder, its treatment with medication and the probability of developing a depressive disorder: A nationwide population-based study in Taiwan

Min Jing Lee; Kang Chung Yang; Yu Chiau Shyu; Shinsheng Yuan; Chun Ju Yang; Sheng Yu Lee; Tung Liang Lee; Liang Jen Wang

OBJECTIVE The purpose of this study is to determine the risk of developing depressive disorders by evaluating children with attention-deficit/hyperactivity disorder (ADHD) in comparison to controls that do not have ADHD, as well as to analyze whether the medications used to treat ADHD, methylphenidate (MPH) and atomoxetine (ATX), influence the risk of depression. METHODS A group of patients newly diagnosed with ADHD (n=71,080) and age- and gender-matching controls (n=71,080) were chosen from Taiwans National Health Insurance database during the period of January 2000 to December 2011. Both the patients and controls were monitored through December 31, 2011. We also explore the potential influence of the length of MPH and ATX treatment on developing depressive disorders. RESULTS The ADHD patients showed a significantly increased probability of developing a depressive disorder when compared to the control group (ADHD: 5.3% vs. CONTROLS 0.7%; aHR, 7.16, 99% CI: 6.28-8.16). Regarding treatment with MPH, a longer MPH use demonstrates significant protective effects against developing a depressive disorder (aOR, 0.91, 99%CI: 0.88-0.94). However, the duration of ATX treatment could not be significantly correlated with the probability of developing a depressive disorder. LIMITATIONS The database employed in this study lacks of comprehensive clinical information for the patients with ADHD. Potential moderating factors between ADHD and depression were not considered in-depth in this study. CONCLUSIONS The results of this study reveal that youths diagnosed with ADHD have a greater risk of developing depressive disorders. Long-term treatment with MPH correlated to the reduced probability of developing a depressive disorder among youths with ADHD.


Schizophrenia Research | 2015

Attention-deficit/hyperactivity disorder, methylphenidate use and the risk of developing schizophrenia spectrum disorders: A nationwide population-based study in Taiwan

Yu Chiau Shyu; Shinsheng Yuan; Sheng Yu Lee; Chun Ju Yang; Kang Chung Yang; Tung Liang Lee; Liang Jen Wang

This study estimated the risk of developing psychotic disorders by comparing children with ADHD to non-ADHD controls, and to examine whether methylphenidate (MPH) treatment influences the risks of psychotic disorders. A nationwide cohort of patients who were newly diagnosed with ADHD (n=73,049) and age- and gender-matched controls (n=73,049) were selected from Taiwans National Health Insurance database from January 2000 to December 2011. All participants were observed until December 31, 2011. Cox regression models were used to estimate the effects of ADHD diagnosis and MPH use on subsequent outcomes. Having a diagnosis of any psychotic disorder and of schizophrenia were set as two different outcomes and were analyzed separately. Compared to the control group, the ADHD group showed significantly increased risk of developing any psychotic disorder (adjusted hazard ratio [aHR], 5.20; 95% confidence interval [CI], 4.30-6.30) and schizophrenia (aHR, 4.65; 95% CI, 3.59-6.04). Compared to ADHD patients without psychosis, patients with ADHD who developed psychosis had significantly older age at first diagnosis of ADHD (9.4±3.3years vs. 10.6±4.0years). Among patients with ADHD, MPH use significantly increased the risk of developing any psychotic disorder (aHR, 1.20; 95% CI, 1.04-1.40), but did not increase the risk of developing schizophrenia (aHR, 1.16; 95% CI, 0.94-1.42). The results indicated that previous diagnoses of ADHD are a powerful indicator of developing psychotic disorders. Nevertheless, the specific mechanisms of the relationships between ADHD, MPH use and psychotic disorders need further elucidation in future clinical studies.

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Ker-Chau Li

University of California

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Yu Chiau Shyu

Memorial Hospital of South Bend

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Kang Chung Yang

National Taiwan University

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Chun Ju Yang

National Yang-Ming University

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Tung Liang Lee

University of Texas MD Anderson Cancer Center

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Sheng Yu Lee

National Cheng Kung University

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Sung-Liang Yu

National Taiwan University

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Pan-Chyr Yang

National Taiwan University

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