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Dive into the research topics where Shengyuan Yu is active.

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Featured researches published by Shengyuan Yu.


Molecular and Cellular Endocrinology | 2016

Integrative proteomics and transcriptomics revealed that activation of the IL-6R/JAK2/STAT3/MMP9 signaling pathway is correlated with invasion of pituitary null cell adenomas

Jie Feng; Shengyuan Yu; Chuzhong Li; Zhenye Li; Yazhuo Zhang

Non-functioning pituitary adenomas (NFPAs) are a highly heterogeneous group, but few studies have explored the invasion mechanism of specific subtypes of NFPAs. The objective of this study was to investigate the differential molecular expression patterns and the critical biological signaling pathways involved in the invasion of pituitary null cell adenomas (PNCAs) through integrative proteomics and transcriptomics. A total of 1160 genes and 283 proteins were found to be differentially expressed in invasive and non-invasive PNCAs. The differentially expressed molecules related to invasion were enriched in 15 canonical signaling pathways, 15 clusters of diseases or biological functions and 5 upstream molecules. Among them, the majority of the differentially expressed molecules were found to be involved in transport of molecule, migration of cells and cell movement. Notably, IL-6 was a significantly activated upstream regulator, and the IL6R/JAK2/STAT3 cascade was found to play a critical role in acute phase response signaling, which was the most significant canonical signaling pathway. Furthermore, we validated the overexpression of IL-6R, JAK2, STAT3, p-STAT3 and MMP9 in invasive PNCAs. Our data suggest that overactivation of the IL-6R/JAK2/STAT3/MMP9 pathway is critical for the invasion of PNCAs.


Human Pathology | 2014

Overexpression of the cell adhesion molecule claudin-9 is associated with invasion in pituitary oncocytomas

Lichuan Hong; Yonggang Wu; Jie Feng; Shengyuan Yu; Chuzhong Li; Youtu Wu; Zhenye Li; Lei Cao; Fei Wang; Yazhuo Zhang

Pituitary oncocytoma is a subtype of nonfunctioning pituitary adenomas with the potential to be locally invasive. Currently, surgery is the most effective treatment, whereas functional pituitary adenomas can be treated by drugs. We analyzed the invasiveness of pituitary oncocytomas to identify biomarkers that may be useful for guiding future therapeutic decision making. To identify important biomarkers of pituitary oncocytomas, 20 oncocytomas that were negative for hormone-specific immunostaining were confirmed by anti-mitochondria antibody immunostaining and electron microscopy. Our clinical phenotype data showed a prominent male predilection (85%). These tumors were classified as invasive or noninvasive based on preoperative magnetic resonance imaging, intraoperative records, and pathology slide. We observed significantly different expression profiles between pituitary oncocytomas (n = 3) and normal pituitary glands (n = 3). A total of 1937 genes were differentially expressed between the pituitary oncocytomas and normal pituitary glands. Among these 1937 genes, 954 were up-regulated and 983 were down-regulated in pituitary oncocytomas. The most significantly altered gene, claudin-9 (CLDN9), was further confirmed by quantitative real-time polymerase chain reaction, Western blot, and immunohistochemical staining in 10 invasive pituitary oncocytoma samples and 10 noninvasive pituitary oncocytoma samples. High levels of CLDN9 were found in the pituitary oncocytomas, whereas low levels were detected in normal pituitary glands. In addition, the CLDN9 expression level was higher in invasive oncocytomas compared with noninvasive oncocytomas. Bioinformatics Gene Ontology analysis was performed to better understand the critical role of CLDN9 in the development and progression of oncocytomas. Consequently, CLDN9 may be an important biomarker for invasive pituitary oncocytomas.


International Journal of Endocrinology | 2015

Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data

Peng Zhao; Wei Hu; Hongyun Wang; Shengyuan Yu; Chuzhong Li; Jiwei Bai; Songbai Gui; Yazhuo Zhang

Pituitary adenomas, monoclonal in origin, are the most common intracranial neoplasms. Altered gene expression as well as somatic mutations is detected frequently in pituitary adenomas. The purpose of this study was to detect differentially expressed genes (DEGs) and biological processes during tumor formation of pituitary adenomas. We performed an integrated analysis of publicly available GEO datasets of pituitary adenomas to identify DEGs between pituitary adenomas and normal control (NC) tissues. Gene function analysis including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) networks analysis was conducted to interpret the biological role of those DEGs. In this study we detected 3994 DEGs (2043 upregulated and 1951 downregulated) in pituitary adenoma through an integrated analysis of 5 different microarray datasets. Gene function analysis revealed that the functions of those DEGs were highly correlated with the development of pituitary adenoma. This integrated analysis of microarray data identified some genes and pathways associated with pituitary adenoma, which may help to understand the pathology underlying pituitary adenoma and contribute to the successful identification of therapeutic targets for pituitary adenoma.


Tumor Biology | 2016

Integrative proteomics and transcriptomics identify novel invasive-related biomarkers of non-functioning pituitary adenomas.

Shengyuan Yu; Lichuan Hong; Jie Feng; Youtu Wu; Yazhuo Zhang

Non-functioning pituitary adenomas (NFPAs) are usually macroadenomas and display invasion into surrounding tissues. The treatment for invasive NFPAs is still challenging. This study describes the differential patterns of gene expression between invasive and non-invasive NFPAs and identifies novel biomarkers involved in invasion of NFPAs for diagnosis and treatment. Using gene microarray technology, we examined the gene expression profile and found 1160 differentially expressed messenger RNA (mRNA) between invasive and non-invasive NFPAs. Then, we examined the protein profile by liquid chromatography tandem mass spectrometry (LC-MS/MS) and found 433 differentially expressed proteins between invasive and non-invasive NFPAs. Subsequently, we integrated the proteomics and transcriptomics datasets and identified 29 common changed molecules. Through bioinformatics analysis using Ingenuity Pathway Analysis (IPA) software, we showed that the 29 molecules were enriched in 25 canonical signaling pathways, 25 molecular and cellular functions, and 2 networks. Eight genes were identified involved in the invasion function by the molecular and cellular functions analysis, including CAT, CLU, CHGA, EZR, KRT8, LIMA1, SH3GLB2 and SLC2A1. Furthermore, we validated the decreased CHGA expression and increased CLU expression in invasive NFPAs by qRT-PCR and Western blot. Our study demonstrated that integration of proteomics and transcriptomics could prove advantageous for accelerating tumor biomarker discovery and CHGA and CLU might be important novel biomarkers and therapeutic targets for invasion of NFPAs.


Oncology Reports | 2016

Assessment of sFRP4 as a bio-marker for predicting aggressiveness and recurrence of growth hormone-secreting pituitary adenomas

Youtu Wu; Chunhui Liu; Shengyuan Yu; Hua Gao; Zhenye Li; Chuzhong Li; Yazhuo Zhang

The association of sFRP4 expression with aggressiveness and recurrence of growth hormone (GH)-secreting pituitary adenomas was investigated. Ten normal pituitary and 52 GH-secreting pituitary adenoma specimens were classified into three groups: normal pituitary (control) group, non-aggressive group, and aggressive group, according to preoperative evaluation by magnetic resonance imaging (MRI)/computed tomography (CT). Expression of sFRP4 was determined by quantitative real-time polymerase chain reaction (qRT-PCR), western blot analysis, and tissue microarrays, to assess the association between sFRP4 and aggressiveness. Follow-up information of all 52 patients was collected to evaluate the impact of sFRP4 expression on the recurrence/progression of GH-secreting pituitary adenomas. qRT-PCR results showed a lower level of sFRP4 mRNA in the aggressive group, as compared to that in the non-aggressive group (P=0.001). A similar trend was observed on western blot analysis for sFRP4 protein expression (P=0.004). On analysis by tissue microarrays, weak sFRP4 expression was detected in the aggressive group (10/15, 66.7%). Univariate analysis showed a significant relationship between low sFRP4 expression and aggressiveness (P=0.024). On multivariate analysis weak sFRP4 expression was found to be an independent factor of recurrence/progression (odds ratio: 0.063, P=0.026). Methylation of the sFRP4 promoter was increased in low sFRP4 staining group compared to that in the high sFRP4 staining group (P<0.001). In this study, weak sFRP4 expression appeared to predict aggressive behavior, and was associated with recurrence/progression of GH-secreting pituitary adenomas. Methylation of the sFRP4 promoter may account for the low sFRP4 expression.


Journal of Neurosurgery | 2016

Endoscopic treatment of suprasellar cysts without hydrocephalus.

Songbai Gui; Shengyuan Yu; Lei Cao; Jiwei Bai; Xinsheng Wang; Chuzhong Li; Yazhuo Zhang

OBJECTIVE At present, endoscopic treatment is advised as the first procedure in cases of suprasellar arachnoid cysts (SSCs) with hydrocephalus. However, the appropriate therapy for SSCs without hydrocephalus has not been fully determined yet because such cases are very rare and because it is usually difficult to perform the neuroendoscopic procedure in patients without ventriculomegaly given difficulties with ventricular cannulation and the narrow foramen of Monro. The purpose of this study was to find out the value of navigation-guided neuroendoscopic ventriculocystocisternostomy (VCC) for SSCs without lateral ventriculomegaly. METHODS Five consecutive patients with SSC without hydrocephalus were surgically treated using endoscopic fenestration (VCC) guided by navigation between March 2014 and November 2015. The surgical technique, success rate, and patient outcomes were assessed and compared with those from hydrocephalic patients managed in a similar fashion. RESULTS The small ventricles were successfully cannulated using navigational tracking, and the VCC was accomplished in all patients. There were no operative complications related to the endoscopic procedure. In all patients the SSC decreased in size and symptoms improved postoperatively (mean follow-up 10.4 months). CONCLUSIONS Endoscopic VCC can be performed as an effective, safe, and simple treatment option by using intraoperative image-based neuronavigation in SSC patients without hydrocephalus. The image-guided neuroendoscopic procedure improved the accuracy of the endoscopic approach and minimized brain trauma. The absence of hydrocephalus in patients with SSC may not be a contraindication to endoscopic treatment.


International Journal of Endocrinology | 2018

Corrigendum to “Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data”

Peng Zhao; Wei Hu; Hongyun Wang; Shengyuan Yu; Chuzhong Li; Jiwei Bai; Songbai Gui; Yazhuo Zhang

[This corrects the article DOI: 10.1155/2015/164087.].


Pituitary | 2015

Expression of the long non-coding RNAs MEG3, HOTAIR, and MALAT-1 in non-functioning pituitary adenomas and their relationship to tumor behavior

Zhenye Li; Chuzhong Li; Chunhui Liu; Shengyuan Yu; Yazhuo Zhang


Pituitary | 2015

Low expression of secreted frizzled-related protein 4 in aggressive pituitary adenoma

Youtu Wu; Jiwei Bai; Zhenye Li; Fei Wang; Lei Cao; Chunhui Liu; Shengyuan Yu; Guoqiang Yu; Yazhuo Zhang


World Neurosurgery | 2016

Treatment of Middle Cranial Fossa Arachnoid Cysts: A Systematic Review and Meta-Analysis.

Yong Chen; Hong-Juan Fang; Zhi-Feng Li; Shengyuan Yu; Chuzhong Li; Zhe-Bao Wu; Yazhuo Zhang

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Yazhuo Zhang

Capital Medical University

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Chuzhong Li

Capital Medical University

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Jiwei Bai

Capital Medical University

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Youtu Wu

Capital Medical University

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Chunhui Liu

Capital Medical University

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Zhenye Li

Capital Medical University

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Jie Feng

Capital Medical University

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Lei Cao

Capital Medical University

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Songbai Gui

Capital Medical University

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Fei Wang

Capital Medical University

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