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Featured researches published by Chao-Jie Wang.


Molecular Cancer Therapeutics | 2015

HOTAIR Long Noncoding RNA Promotes Gastric Cancer Metastasis through Suppression of Poly r(C)-Binding Protein (PCBP) 1

Zi-Zhen Zhang; Zhi-Yong Shen; Yan-Ying Shen; En-Hao Zhao; Ming Wang; Chao-Jie Wang; Hui Cao; Jia Xu

The objective of this study was to evaluate the role of HOTAIR long noncoding RNA in gastric cancer metastasis. We analyzed HOTAIR expression levels by real-time reverse transcription PCR and Northern blot analysis in 100 gastric tissues (50 gastric cancer tissues and 50 adjacent normal mucosa), and in four gastric cancer cell lines. Transient RNAi-mediated knockdown and pcDNA-mediated overexpression of HOTAIR were performed. Stable shRNA-mediated knockdown and lentiviral-mediated overexpression of HOTAIR were to study the role of HOTAIR on in vivo tumorigenicity and metastatic burden in the context of xenograft assays. Proteomic profiling was performed to decipher differential protein expression in cells with different HOTAIR expression levels. One of the differentially regulated proteins, Poly r(C)-binding protein (PCBP) 1, was subsequently validated and its function evaluated through xenograft assays. Expression of HOTAIR was significantly higher in cancerous tissues than in adjacent normal mucosa. HOTAIR expression levels dictated in vitro and in vivo tumorigenicity and metastatic potential in these cells. PCBP1 and HOTAIR have an inverse relationship, both at expression level and in function. A direct interaction between the two was confirmed through RNA immunoprecipitation coupled with quantitative real-time PCR. PCBP1 was confirmed to be an inhibitor of gastric cancer pathogenesis and as functionally opposite to HOTAIR long noncoding RNA. In conclusion, HOTAIR expression may serve as a potentially important disease biomarker for the identification of high-risk gastric cancer patients. Moreover, our findings provide mechanistic evidence for HOTAIR overexpression and PCBP1 downregulation and the ensuing malignant phenotype in both cultured and xenograft gastric cancer cells. Mol Cancer Ther; 14(5); 1162–70. ©2015 AACR.


BMC Surgery | 2014

Gastrointestinal stromal tumor: 15-years’ experience in a single center

Ming Wang; Jia Xu; Yun Zhang; Lin Tu; Weiqing Qiu; Chao-Jie Wang; Yan-Ying Shen; Qiang Liu; Hui Cao

BackgroundGastrointestinal stromal tumor (GIST) is known for its wide variability in biological behaviors and it is difficult to predict its malignant potential. The aim of this study is to explore the characteristics and prognostic factors of GIST.MethodsClinical and pathological data of 497 GIST patients in our center between 1997 and 2012 were reviewed.ResultsPatients were categorized into very low-, low-, intermediate- and high-risk groups according to modified National Institutes of Health (NIH) consensus classification system. Among the 401 patients untreated with imatinib mesylate (IM), 5-year overall survival (OS) in very low-, low-, intermediate- and high-risk groups was 100%, 100%, 89.6% and 65.9%; and 5-year relapse-free survival (RFS) was 100%, 98.1%, 90.9% and 44.5%, respectively. Univariate analysis revealed that sex, tumor size, mitotic rate, risk grade, CD34 expression, and adjacent involvement were predictors of OS or RFS. COX hazard proportional model (Forward LR) showed that large tumor size, high mitotic rate, and high risk grade were independent risk factors to OS, whereas high mitotic rate, high risk grade and adjacent organ involvement were independent risk factors to RFS. The intermediate-high risk patients who received IM adjuvant therapy (n = 87) had better 5-year OS and RFS than those who did not (n = 188) (94.9% vs. 72.1; 82.3% vs. 56.3%, respectively). Similarly, advanced GIST patients underwent IM therapy (n = 45) had better 3-year OS and 1-year progression-free survival (PFS) than those who didn’t (n = 42) (75.6% vs. 6.8%; 87.6% vs. 12.4%, respectively).ConclusionsVery low- and low-risk GISTs can be treated with surgery alone. Large tumor size, high mitotic rate, high risk grade, and adjacent organ involvement contribute to the poor outcome. IM therapy significantly improves the survival of intermediate-high risk or advanced GIST patients.


BMC Gastroenterology | 2014

Evaluation of high-risk clinicopathological indicators in gastrointestinal stromal tumors for prognosis and imatinib treatment outcome

Wen-Yi Zhao; Jia Xu; Ming Liang Wang; Zi-Zhen Zhang; Lin Tu; Chao-Jie Wang; Hui Cao; Zhi-Gang Zhang

BackgroundAlthough the clinical benefit of imatinib adjuvant therapy for high-risk patients with gastrointestinal stromal tumor (GIST) has been proven, the recurrence rate still remains high. This study aimed to sub-divide high-risk GIST patients with some “very high-risk” factors for more precise prognostic indicator, and possible association with efficiency of imatinib adjuvant therapy.MethodsClinicopathological data were confirmed by pathological diagnosis and clinical records. Recurrence-free survivals (RFS) were evaluated in 370 GIST patients (212 cases as test cohort and 158 cases as validation cohort) and 48 high-risk GISTs with imatinib adjuvant therapy after R0 resection.ResultsMitosis count > 10/50 high-power fields (HPF) and serosal invasion are independent prognostic factors for RFS of GIST patients. Mitosis count > 10/50HPF and serosal invasion can sub-divide high-risk GIST patients effectively and significantly improve the area under the curve (AUC) of receiver operating characteristics (ROC) curve for prognostic indicator both in test and validation cohort. Patients with serosal invasion after R0 resection showed a poorer prognosis with imatinib adjuvant therapy.ConclusionsSub-division of high-risk GIST patients helps to more precisely predicting the prognosis. Serosal invasion may be an adverse predictive factor in high-risk patients and imatinib treatment outcome.


Scientific Reports | 2016

Long non-coding RNA LINC00628 functions as a gastric cancer suppressor via long-range modulating the expression of cell cycle related genes

Zi-Zhen Zhang; Gang Zhao; Chun Zhuang; Yan-Ying Shen; Wen-Yi Zhao; Jia Xu; Ming Wang; Chao-Jie Wang; Lin Tu; Hui Cao; Zhi-Gang Zhang

To discover new biomarkers for gastric cancer (GC) diagnose and treatment, we screened the lncRNAs in GC tissues from 5 patients. We found 6 lncRNAs had altered expression, and in the same time, the levels of their neighboring genes (located near 300 kb upstream or downstream of lncRNA locus) were significantly changed. After confirming the results of microarray by qRT-PCR in 82 GC patients, the biological function of LINC00628 was examined through cell proliferation and apoptosis, cell migration and invasion, colony formation assay and cell cycle detection. We confirmed that LINC00628 functions as a GC suppressor through suppressing proliferation, migration and colony formation of cancer cells. Furthermore, LINC00628 can also suppress the tumor size in mouse xenograft models. Although LINC00628 can modulate LRRN2 expression, the GC suppressor function of LINC00628 is not LRRN2 dependent. The result of mRNA microarray indicated that LINC00628 perform GC inhibitor function through long-range modulating cell cycle related genes. Importantly, we confirmed that LINC00628 mainly located in the nucleus and interacted with EZH2, and modulated genes expression by regulating H3K27me3 level. This research shed light on the role of dysregulated LINC00628 during GC process and may serve as a potential target for therapeutic intervention.


World Journal of Gastroenterology | 2015

SLITRK3 expression correlation to gastrointestinal stromal tumor risk rating and prognosis

Chao-Jie Wang; Zi-Zhen Zhang; Jia Xu; Ming Wang; Wen-Yi Zhao; Lin Tu; Chun Zhuang; Qiang Liu; Yan-Yin Shen; Hui Cao; Zhi-Gang Zhang

AIM To assess the influence of SLIT and NTRK-like family member 3 (SLITRK3) on the prognosis of gastrointestinal stromal tumor (GIST) and determine whether SLITRK3 can help improve current risk stratification systems. METHODS We hypothesized that SLITRK3 could be used as a prognostic molecular biomarker for GIST. 35 fresh tumor samples and 417 paraffin-embedded specimens from GIST patients were utilized. SLITRK3 mRNA expression in GIST tumor tissue was detected by real-time polymerase chain reaction, and SLITRK3 protein levels were estimated by immunohistochemistry. The correlation of SLITRK3 expression with various tumor clinicopathological characteristics and follow-up data were analyzed. RESULTS GIST tumors had high expression of SLITRK3 compared with adjacent normal tissues and the expression level gradually increased with risk grade. SLITRK3 protein expression was closely associated with gastrointestinal bleeding, tumor site, tumor size, mitotic index, and National Institutes of Health (NIH) classification. Survival analysis showed that SLITRK3 expression was closely correlated with overall survival and disease-free survival of GIST patients. Multivariate analysis also identified SLITRK3 expression, mitotic index, and NIH stage as significant risk factors of GIST recurrence. CONCLUSION SLITRK3 expression is a highly significant predictor of GIST recurrence and metastasis. Combinations of SLITRK3 and NIH stage have strong predictive and prognostic value, and are feasible markers for clinical practice in gastrointestinal stromal tumor.


BioMed Research International | 2016

hsa-miR-376c-3p Regulates Gastric Tumor Growth Both In Vitro and In Vivo.

Lin Tu; En-Hao Zhao; Wen-Yi Zhao; Zi-Zhen Zhang; De-Feng Tang; Yeqian Zhang; Chao-Jie Wang; Chun Zhuang; Hui Cao

Background. In recent studies, aberrant expression of various microRNAs (miRNAs) is reported to be associated with gastric cancer metastasis. Method. Overexpression construct and inhibitor of hsa-miR-376c-3p were expressed in human gastric adenocarcinoma cell line SGC-7901. The expression level of tumor related genes was detected by qPCR, western blot, and immunostaining. Cell apoptosis was determined by flow cytometry. Xenograft of SGC-7901 cells was used to elucidate the function of hsa-miR-376c-3p in gastric tumor growth in vivo. Result. Expression of hsa-miR-376c-3p was detected in SGC-7901 cells. Downregulation of hsa-miR-376c-3p increased the expression level of BCL-2 and decreased the expression of smad4 and BAD. On the contrary, overexpression of hsa-miR-376c-3p increased the expression of BAD and smad4, while it led to the decreasing expression level of BCL-2. Overexpression of hsa-miR-376c-3p also promoted cell apoptosis in vitro and inhibited gastric tumor growth in vivo. Furthermore, the expression of BCL-2 was higher and expression of smad4 and BAD was lower in tumor tissue than the tissue adjacent to tumor from gastric cancer patients. Conclusion. This study demonstrated that hsa-miR-376c-3p plays an important role in the inhibition of gastric tumor growth and tumor related gene expression both in vitro and in vivo.


International Journal of Clinical and Experimental Pathology | 2014

Prognostic value of Ki67 index in gastrointestinal stromal tumors.

Wen-Yi Zhao; Jia Xu; Ming Wang; Zi-Zhen Zhang; Lin Tu; Chao-Jie Wang; Tian-Long Lin; Yan-Yin Shen; Qiang Liu; Hui Cao


International Journal of Clinical and Experimental Medicine | 2015

Analysis of plasma microRNAs to identifying early diagnostic molecule for gastric cancer

Zi-Zhen Zhang; Chao-Jie Wang; Li Niu; Jia Xu; Ming Wang; Hui Cao; Bo Hu


Medical Oncology | 2014

Prognostic value of mutational characteristics in gastrointestinal stromal tumors: a single-center experience in 275 cases

Ming Wang; Jia Xu; Wen-Yi Zhao; Lin Tu; Weiqing Qiu; Chao-Jie Wang; Yangyin Shen; Qiang Liu; Hui Cao


American Journal of Cancer Research | 2015

TEM7 (PLXDC1), a key prognostic predictor for resectable gastric cancer, promotes cancer cell migration and invasion.

Zi-Zhen Zhang; Rong Hua; Jun-Feng Zhang; Wen-Yi Zhao; En-Hao Zhao; Lin Tu; Chao-Jie Wang; Hui Cao; Zhi-Gang Zhang

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Hui Cao

Shanghai Jiao Tong University

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Lin Tu

Shanghai Jiao Tong University

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Zi-Zhen Zhang

Shanghai Jiao Tong University

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Wen-Yi Zhao

Shanghai Jiao Tong University

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Ming Wang

Shanghai Jiao Tong University

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Jia Xu

Shanghai Jiao Tong University

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Zhi-Gang Zhang

Shanghai Jiao Tong University

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Chun Zhuang

Shanghai Jiao Tong University

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Qiang Liu

Shanghai Jiao Tong University

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En-Hao Zhao

Shanghai Jiao Tong University

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