No 150 Central Hospital Of Pla

Luoyang, China

No 150 Central Hospital Of Pla

Luoyang, China
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Fan N.-J.,No 150 Central Hospital Of Pla | Fan N.-J.,Shanghai University | Gao C.-F.,No 150 Central Hospital Of Pla | Zhao G.,No 150 Central Hospital Of Pla | And 2 more authors.
Biotechnology and Applied Biochemistry | Year: 2012

Esophageal squamous cell carcinoma (ESCC) is one of the most common cancers in the world. Early diagnosis is critical for guiding the therapeutic management of ESCC. The present study aims to determine serum peptidome patterns for diagnosing ESCC. To identify novel peptidome patterns for diagnosing ESCC, sera from 31 healthy volunteers and 32 ESCC patients were subjected to a comparative proteomic analysis using a ClinProt™ Kit combined with mass spectrometry (MS). This approach enables the determination of peptidome patterns that can differentiate between ESCC sera and sera from healthy volunteers. For further validation, the diagnostic and differential diagnostic capabilities of the peptidome patterns were verified blindly by using an independent group of sera, consisting of sera from 31 ESCC patients, 33 healthy volunteers, 38 colorectal patients, and 36 gastric cancer patients. A Quick Classifier Algorithm was used to construct the peptidome patterns for the identification of ESCC from the control samples. Five of the identified peaks at mass to charge ratios 759, 786, 1,866, 3,316, and 6,634 were used to construct the peptidome patterns with almost 100% accuracy. Furthermore, the peptidome patterns could also differentiate the validation group with high accuracy. These results suggest that the ClinProt™ Kit combined with MS achieves significantly high accuracy for ESCC diagnosis and differential diagnosis. Copyright © 2012 International Union of Biochemistry and Molecular Biology, Inc.


Wang R.-Y.,International Co operation Laboratory on Signal Transduction | Wang R.-Y.,Eastern Hepatobiliary Surgery Hospital | Chen L.,International Co operation Laboratory on Signal Transduction | Chen H.-Y.,International Co operation Laboratory on Signal Transduction | And 23 more authors.
Gastroenterology | Year: 2013

Background & Aims Aberrant expression of MUC15 correlates with development of colorectal adenocarcinoma, and MUC15 has been reported to prevent trophoblast invasion of human placenta. However, little is known about the role of MUC15 in pathogenesis of hepatocellular carcinoma (HCC). Methods We analyzed HCC samples and matched nontumor liver tissues (controls) collected from 313 patients who underwent hepatectomy in Shanghai, China, from January 2006 through September 2009. Levels of messenger RNAs and proteins were determined by immunohistochemical, quantitative reverse transcription polymerase chain reaction, and immunoblot analyses. Statistical analyses were used to associate levels of MUC15 with tumor features and patient outcomes. Results Levels of MUC15 messenger RNA and protein were reduced in a greater percentage of HCC samples than control tissues. Tumors with reduced levels of MUC15 were more likely to have aggressive characteristics (eg, high levels of α-fetoprotein, vascular invasion, lack of encapsulation, and poor differentiation) than those with low levels. Patients whose tumors had reduced levels of MUC15 had shorter overall survival times (24 months vs 46 months for patients with tumors with high levels of MUC15) and time to disease recurrence. Stable expression of MUC15 in HCC cell lines (SMMC-7721 and HCC-LM3) reduced their proliferation and invasive features in vitro, and ability to form metastatic tumors in mice. MUC15 reduced transcription of the matrix metalloproteinases 2 and 7 increased expression of tissue inhibitor of metalloproteinase-2, which required phosphoinositide 3-kinase-v-akt murine thymoma viral oncogene homolog signaling. Physical interaction between MUC15 and epidermal growth factor receptor led to its relocation and degradation within early endosomes and was required for inactivation of phosphoinositide 3-kinase-v-akt murine thymoma viral oncogene homolog signaling. Conclusions Reduced levels of MUC15 in HCCs are associated with shorter survival times of patients and reduced time to disease recurrence. Expression of MUC15 in HCC cells reduces their aggressive behavior in vitro and in mice by inducing dimerization of epidermal growth factor receptor and decreasing phosphoinositide 3-kinase signaling via v-akt murine thymoma viral oncogene homolog. © 2013 by the AGA Institute.


PubMed | Shanghai Changzheng Hospital, No 150 Central Hospital Of Pla and Shanghai Changhai Hospital
Type: Journal Article | Journal: British journal of cancer | Year: 2015

FAT4, a cadherin-related protein, was shown to function as a tumour suppressor; however, its role in human gastric cancer remains largely unknown. Here, we investigated the role of FAT4 in gastric cancer and examined the underlying molecular mechanisms.The expression of FAT4 was evaluated by immunohistochemistry, western blotting, and qRT-PCR in relation to the clinicopathological characteristics of gastric cancer patients. The effects of FAT4 silencing on cell proliferation, migration, and invasion were assessed by the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium) assay, and migration and invasion assays in gastric cancer cell lines in vitro and in a mouse xenograft model in vivo.Downregulation of FAT4 expression in gastric cancer tissues compared with adjacent normal tissues was correlated with lymph-node metastasis and poor survival. Knockdown of FAT4 promoted the growth and invasion of gastric cancer cells via the activation of Wnt/-catenin signalling, and induced epithelial-to-mesenchymal transition (EMT) in gastric cancer cells, as demonstrated by the upregulation and downregulation of mesenchymal and epithelial markers. Silencing of FAT4 promoted tumour growth and metastasis in a gastric cancer xenograft model in vivo.FAT4 has a tumour suppressor role mediated by the modulation of Wnt/-catenin signalling, providing potential novel targets for the treatment of gastric cancer.


Liu Z.,No 150 Central Hospital Of Pla | Liu Z.,University of Sichuan | Niu Y.,University of Sichuan | Li C.,Sichuan Cancer Hospital | And 2 more authors.
Head and Neck | Year: 2012

Background Oral squamous cell carcinoma (OSCC) is the sixth most common type of carcinoma worldwide. The pathogenic pathways involved in this cancer are mostly unknown; therefore, a better characterization of the OSCC gene expression profile would represent a considerable advance. The public availability of gene expression datasets was meant to obtain new insights on biological processes. Methods We integrated 4 public microarray datasets on OSCC to evaluate the degree of consistency among the biological results obtained in these different studies and to identify common regulatory pathways that could be responsible for tumor growth. Results Twelve altered cellular pathways implicated in OSCC and 4 genes altered in the extracellular matrix (ECM) receptor pathway were validated by quantitative real-time polymerase chain reaction (qRT-PCR). Conclusion Using 4 expression array datasets, we have developed a robust method for analyzing pathways altered in OSCC. © 2011 Wiley Periodicals, Inc. Head Neck, 2011 Copyright © 2011 Wiley Periodicals, Inc.


Fan N.-J.,No 150 Central Hospital Of Pla | Li K.,No 150 Central Hospital Of Pla | Liu Q.-Y.,No 150 Central Hospital Of Pla | Wang X.-L.,No 150 Central Hospital Of Pla | And 3 more authors.
Clinical Biochemistry | Year: 2013

Objective: Despite major advances in its diagnosis and treatment, gastric cancer (GC) remains a major life-threatening disease. Treatment of the disease is further aggravated by the lack of diagnostic biomarkers that can aid in the early detection of GC and promote its favorable prognosis. The present work aims to identify novel diagnostic biomarkers for GC. Design and methods: The present work is a case-control study that focuses on proteomic analysis of serum from healthy volunteers and GC patients using ClinProt profiling technology based on mass spectrometry. A pattern of proteins/peptides with the ability to differentiate the studied populations was identified. Deregulated proteins/peptides differentially expressed in the serum of patients compared with healthy volunteers were identified by mass spectroscopy. Results: A pattern of proteins/peptides consisting of four protein/peptide peaks at m/z 1467, 1867, 2701, and 2094 was identified. These protein/peptide peaks were able to differentiate the studied populations with close to 100% sensitivity and specificity. Three of the deregulated proteins/peptides at m/z 1867, 2701, and 2094 were identified by mass spectroscopy (LTQ Orbitrap XL) as tubulin beta chain, thymosin beta-4-like protein 3, and cytochrome b-c1 complex subunit 1, respectively. Conclusions: The pattern of proteins/peptides identified in the present work shows great potential for GC diagnosis. Deregulated proteins of tubulin beta chain, thymosin beta-4-like protein 3, and cytochrome b-c1 complex subunit 1 may be involved in the pathogenesis of GC and serve as potential serological diagnostic biomarkers. © 2013 The Canadian Society of Clinical Chemists.


Fan N.-J.,No 150 Central Hospital Of Pla | Gao C.-F.,No 150 Central Hospital Of Pla | Wang X.-L.,No 150 Central Hospital Of Pla
OMICS A Journal of Integrative Biology | Year: 2013

Despite the major advances in diagnosis and treatment, esophageal squamous cell carcinoma (ESCC) remains a major life-threatening disease. Early diagnosis is critical for guiding the therapeutic management of ESCC. This case-control study focused on the proteomic analysis of serum of healthy volunteers and ESCC patients using the ClinProt profiling technology based on mass spectrometry. A total of 80 healthy volunteers and 119 ESCC patients were enrolled. We identified a pattern of proteins/peptides (including m/z 1867, 2700, and 2094) and differentiated ESCC patients from healthy volunteers with sensitivity and specificity close to 100%. Using mass spectrometry (LTQ orbitrap XL), tubulin beta chain, filamin A alpha isoform 1, and cytochrome b-c1 complex subunit 1 were identified as the three differentially expressed proteins/peptides in the patient serum. These three dysregulated proteins/peptides could be involved in the pathogenesis of ESCC and may serve as putative serological diagnostic biomarkers of ESCC. We suggest that further proteomics and multi-omics research are warranted to identify novel post-genomics diagnostics that can in the future pave the way for personalized medicine for patients with ESCC, a cancer for which we currently lack an integrated battery of diagnostics in the field of oncology. © 2013, Mary Ann Liebert, Inc.


Fan N.-J.,No 150 Central Hospital Of Pla | Gao C.-F.,No 150 Central Hospital Of Pla | Zhao G.,No 150 Central Hospital Of Pla | Wang X.-L.,No 150 Central Hospital Of Pla | Liu Q.-Y.,No 150 Central Hospital Of Pla
Diagnostic Pathology | Year: 2012

Background: Breast cancer is one of the most common cancers in the world, and the identification of biomarkers for the early detection of breast cancer is a relevant target. The present study aims to determine serum peptidome patterns for screening of breast cancer.Methods: The present work focused on the serum proteomic analysis of 36 healthy volunteers and 37 breast cancer patients using a ClinProt Kit combined with mass spectrometry (MS). This approach allows the determination of peptidome patterns that are able to differentiate the studied populations. An independent group of sera (36 healthy volunteers and 37 breast cancer patients) was used to verify the diagnostic capabilities of the peptidome patterns blindly. An immunoassay method was used to determine the serum mucin 1 (CA15-3) of validation group samples.Results: Support Vector Machine (SVM) Algorithm was used to construct the peptidome patterns for the identification of breast cancer from the healthy volunteers. Three of the identified peaks at m/z 698, 720 and 1866 were used to construct the peptidome patterns with 91.78% accuracy. Furthermore, the peptidome patterns could differentiate the validation group achieving a sensitivity of 91.89% (34/37) and a specitivity of 91.67% (33/36) (> CA 15-3, P < 0.05).Conclusions: These results suggest that the ClinProt Kit combined with MS shows great potentiality for the diagnosis of breast cancer.Virtual slides: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1501556838687844. © 2012 Fan et al.; licensee BioMed Central Ltd.


Liu Z.,No 150 Central Hospital Of Pla | Niu Y.,Sichuan University | Xie M.,Chongqing Medical University | Bu Y.,Chongqing Medical University | And 2 more authors.
Journal of Neuro-Oncology | Year: 2014

Glioblastoma multiforme (GBM) is the most malignant glioma. In the current study, 149 astrocytoma gene expression datasets were classified by prediction analysis of microarray. Strikingly, disks large homolog 3 (DLG3), a membrane-associated guanylate kinase-family gene, had the highest score in the GBM subset. DLG3 mRNA expression is significantly down-regulated in GBM relative to normal tissue and grade II or grade III astrocytoma according to the results of real-time polymerase chain reaction, and its protein expression shows an obvious difference by immunohistochemistry. Further assays show that DLG3 over-expression induces mitotic cell cycle arrest and apoptosis, and it inhibits proliferation and migration. However, DLG3 over-expression has almost no affect on invasion. The DLG3 protein expression in human brain GBM tissue and its effects on GBM cell invasion were not expected. Our data suggest that DLG3 is down-regulated in this cancer type. To our knowledge, this is the first report to clearly demonstrate the possible involvement of DLG3 in GBM. © 2013 Springer Science+Business Media New York.


PubMed | No 150 Central Hospital Of Pla
Type: Journal Article | Journal: Molecular bioSystems | Year: 2016

Eukaryotic elongation factor-2 kinase (eEF2K), a unique calcium/calmodulin-dependent protein kinase, is well known to regulate apoptosis, autophagy and ER stress in many types of human cancers. Therefore, eEF2K would be regarded as a promising therapeutic target; however, the eEF2K-regulated mechanism and its targeted inhibitor still remain to be discovered in cancer. Herein, we constructed a protein-protein interaction (PPI) network of eEF2K and achieved an eEF2K-regulated ER stress subnetwork by bioinformatics prediction. Then, we found that the differential protein expressions involved in ER stress in the context of si-eEF2K-treated MCF-7 and MDA-MB-436 cells by iTRAQ-based analyses, respectively. Integrated into these aforementioned results, we constructed a core eEF2K-regulated ER stress subnetwork in breast cancer cells. Subsequently, we screened a series of candidate compounds targeting eEF2K and discovered a novel eEF2K inhibitor (cefatrizine) with an anti-proliferative activity toward breast cancer cells. Moreover, we found that cefatrizine induced ER stress in both MCF-7 and MDA-MB-436 cells. Interestingly, we demonstrated that the mechanism of cefatrizine-induced ER stress was in good agreement with our bioinformatics and proteomics-based results. In conclusion, these results demonstrate that a novel eEF2K inhibitor (cefatrizine) induces ER stress in breast cancer cells by integrating bioinformatics prediction, proteomics analyses and experimental validation, which would provide a clue for exploring more mechanisms of eEF2K and its targeted inhibitors in cancer therapy.


PubMed | No 150 Central Hospital Of Pla
Type: | Journal: The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology | Year: 2015

The only hope for a cure from hepatocellular carcinoma (HCC) rests on early diagnosis. The present study aims to determine serum peptidome patterns for early diagnosis of HCC.To identify novel peptidome patterns for diagnosing HCC, serum from31 healthy volunteers and 32 HCC patients were subjected to a comparative proteomic analysis using a ClinProt Kit combined with mass spectrometry (MS). This approach allows the determination of peptidome patterns that are able to differentiate the HCC from healthy volunteers. For further validation, the diagnostic and differential diagnostic capabilities of the peptidome patterns were verified blindly by an independent group of sera consisted of 31 HCC, 23 liver fibrosis and 33 healthy volunteers.A Quick Classifier Algorithm was used to construct the peptidome patterns for the identification of HCC from the control samples. One of the identified peaks at m/z 7771 was used to construct the peptidome patterns with almost 100% accuracy. Furthermore, the peptidome patterns could also differentiate the validation group with high accuracy.These results suggest that the ClinProt Kit combined with MS achieves significantly high accuracy for HCC diagnosis and differential diagnosis.

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