Zhaoli Chen

Dr. Zhaoli Chen


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2017 in Cancer Letters
Verified
Journal Article
Closed access
YLYuan Li
Yuan Li
NSNan Sun
Nan Sun
ZLZhiliang Lu
Zhiliang Lu
SSShouguo Sun
Shouguo Sun
JHJianbing Huang
Jianbing Huang
JHJie He
Jie He

17 April 2017 in Journal of Experimental & Clinical Cancer Research
Verified
Journal Article
Open access
PDF file
ZLZhiliang Lu
Zhiliang Lu
YLYuan Li
Yuan Li
JWJingnan Wang
Jingnan Wang
YCYun Che
Yun Che
SSShouguo Sun
Shouguo Sun
JHJie He
Jie He
Background: Numerous studies have shown that long non-coding RNAs (lncRNAs) play key roles during multiple cancer processes, such as cell proliferation, apoptosis, migration and invasion. The previous studies found that NKILA interacted with and suppressed the nuclear translocation of NF-KappaB, which influenced metastasis and prognosis in breast cancer. However the clinical significance and biological role of NKILA in non-small cell lung cancer (NSCLC) remains unknown. Methods: We examined expression levels of NKILA in 106 pairs of NSCLC tissues and cell lines. The expression level of NKILA after TGF-β1 stimulation also was examined by qRT-PCR and validated by Chromatin immunoprecipitation (ChIP). Gain-of-function and loss-of-function assays were performed to examine the effect of NKILA on proliferation, migration and invasion of NSCLC cells. RNA immunoprecipitation (RIP), western blot and rescue experiments were carried out to reveal the interrelation between NKILA, NF-κB and EMT signal pathway. Results: The expression of NKILA was down-regulated in NSCLC cancer tissues compared with matched adjacent noncancerous tissues, and lower NKILA expression in tumor tissues were significantly correlated with lymph node metastasis and advanced TNM stage. We found that the expression of NKILA was mainly regulated by classical TGF-β signal pathway in NSCLC cells rather than NF-κB pathway reported in breast cancer. Gain and loss of function assays found that NKILA inhibited migration, invasion and viability of NSCLC cells. Mechanistic study showed that NKILA attenuated Snail expression via inhibiting the phosphorylation of IκBα and NF-κB activation, subsequently suppressed the expression of markers of epithelial-mesenchymal transition process. Conclusions: The present study found that the expression of NKILA was downregulated in tumor tissues of NSCLC, which improved the metastasis of NSCLC patients. In vitro studies further clarified that the expression of NKILA was regulated through classical TGF-β signal pathway, which subsequently inhibited migration and invasion of NSCLC cells through interfering NF-κB/Snail signal pathway in NSCLC cells.

31 July 2017 in OncoImmunology
Verified
Journal Article
Closed access
YLYuan Li
Yuan Li
ZLZhiliang Lu
Zhiliang Lu
YCYun Che
Yun Che
JWJingnan Wang
Jingnan Wang
SSShouguo Sun
Shouguo Sun
JHJie He
Jie He
Understanding interactions between tumor and the host immune system holds great promise to uncover biomarkers for targeted therapies and clinical outcomes. However, systematical analysis of immune signatures in esophageal squamous cell carcinoma (ESCC) remains largely unstudied. In this study, immune signatures containing 708 immune related genes were curated from mRNA microarray data with tumor and paired normal tissues from 119 ESCC patients. Differential expression and survival analysis were performed with validations from Human Protein Atlas and an independent cohort of 110 ESCC patients by immunohistochemistry staining. We identified a total of 186 significantly dysregulated genes in ESCC, including downregulated genes SPINK5, IL1RN and upregulated genes SPP1 and PLAU, which were further confirmed in Human Protein Atlas data. Moreover, nine immune related genes (ABL1, ATF2, ATG5, C6, CD38, HMGB1, ICOSLG, IL12RB2 and PLAU) were significantly associated with patients' overall survival, among which, prognostic model was built including three independent factors ABL1, CD38 and ICOSLG. Validation by immunohistochemistry staining suggested that combination with tumor infiltrated CD4+ and CD8+ T lymphocytes would yield higher performance in distinguishing cases as high or low risk of unfavorable prognosis. In summary, we profiled the immune status in ESCC and established predictive and prognostic factors for ESCC, which could reflect immune disorders within tumor microenvironments and independently distinguish patients with a high risk of reduced survival, providing novel predictive and therapeutic targets for ESCC patients in the future.

6 April 2016 in PLOS ONE
Verified
Journal Article
Open access
PDF file
XSXuejiao Shi
Xuejiao Shi
YYYue Yu
Yue Yu
MLMei Luo
Mei Luo
ZZZhirong Zhang
Zhirong Zhang
SSSusheng Shi
Susheng Shi
JHJie He
Jie He
Ten-eleven translocation (TET) enzymes catalyze the oxidation of 5-methylcytosine (5-mC) to 5-hydroxymethylcytosine (5-hmC), 5-formylcytosine and 5-carboxylcytosine, which result in genomic DNA demethylation. It was reported that 5-hmC levels were decreased in a variety of cancers and could be regarded as an epigenetic hallmark of cancer. In the present study, 5-hmC levels were detected by immunohistochemistry (IHC) in 173 esophageal squamous cell carcinoma (ESCC) tissues and 91 corresponding adjacent non-tumor tissues; DNA dot blot assays were used to detect the 5-hmC level in another 50 pairs of ESCC tissues and adjacent non-tumor tissues. In addition, the mRNA level of TET1, TET2 and TET3 in these 50 pairs of ESCC tissues was detected by real-time PCR. The IHC and DNA dot blot results showed that 5-hmC levels were significantly lower in ESCC tissues compared with corresponding adjacent non-tumor tissues (P = 0.029). TET2 and TET3 expression was also significantly decreased in tumor tissues compared with paired non-tumor tissues (TET2, P < 0.0001; TET3, P = 0.009), and the decrease in 5-hmC was significantly associated with the downregulation of TET2 expression (r = 0.405, P = 0.004). Moreover, the loss of 5-hmC in ESCC tissues was significantly associated with poor overall survival among patients with ESCC (P = 0.043); multivariate Cox regression analysis showed that the loss of 5-hmC in ESCC tissues was an independent unfavorable prognostic indicator for patients with ESCC (HR = 1.569, P = 0.029). In conclusion, 5-hmC levels were decreased in ESCC tissues, and the loss of 5-hmC in tumor tissues was an independent unfavorable prognostic factor for patients with ESCC.

17 August 2017 in Chinese Journal of Cancer
Verified
Journal Article
Open access
PDF file
CWChunni Wang
Chunni Wang
JWJingnan Wang
Jingnan Wang
ZCZhaoli Chen
Zhaoli Chen
YGYi-Bo Gao
Yi-Bo Gao
JHJie He
Jie He
Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy, with a high incidence and poor prognosis. In the past several decades, hundreds of proteins have been reported to be associated with the prognosis of ESCC, but none has been widely accepted to guide clinical care. This study aimed to identify proteins with great potential for predicting prognosis of ESCC. We conducted a systematic review on immunohistochemical (IHC) prognostic markers of ESCC according to the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Guidelines. Literature related to IHC prognostic markers of ESCC were searched from PubMed, Embase, Web of Science, and Cochrane Library until January 30th, 2017. The risk of bias of these original studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. We identified 11 emerging IHC markers with reproducible results, including eight markers [epidermal growth factor receptor (EGFR), Cyclin D1, vascular endothelial growth factor (VEGF), Survivin, Podoplanin, Fascin, phosphorylated mammalian target of rapamycin (p-mTOR), and pyruvate kinase M2 (PKM2)] indicating unfavorable prognosis and 3 markers (P27, P16, and E-cadherin) indicating favorable prognosis of ESCC. Strong evidence supports that these 11 emerging IHC markers or their combinations may be useful in predicting prognosis and aiding personalized therapy decision-making for ESCC patients.

23 July 2016 in Tumor Biology
Verified
Journal Article
Closed access
PDF file
YLYuan Li
Yuan Li
XSXuejiao Shi
Xuejiao Shi
WYWenhui Yang
Wenhui Yang
ZLZhiliang Lu
Zhiliang Lu
PWPan Wang
Pan Wang
JHJie He
Jie He