Qiwen Deng

Dr. Qiwen Deng

Neurology, Nanjing Medical University, Nanjing, Jiangsu, China
orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

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

Representative Publications

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30 October 2014 in Medical Oncology
Verified
Journal Article
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HYHou-Qun Ying
Hou-Qun Ying
QDQiwen Deng
Qiwen Deng
BHBang-Shun He
Bang-Shun He
YPYu-Qin Pan
Yu-Qin Pan
FWFeng Wang
Feng Wang
SWShu-Kui Wang
Shu-Kui Wang

18 February 2015 in Journal of Translational Medicine
Verified
Journal Article
Open access
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QDQiwen Deng
Qiwen Deng
BHBangshun He
Bangshun He
XLXian Liu
Xian Liu
JYJin Yue
Jin Yue
HYHouqun Ying
Houqun Ying
SWShu kui Wang
Shu kui Wang
Inflammation plays an integral role in carcinogenesis and tumor progression. Inflammatory response biomarkers have shown to be promising prognostic factors for improving the predictive accuracy in various cancers. The aim of this study is to investigate the prognostic significance of pre-operative neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in gastric cancer (GC). 389 patients who had undergone gastrectomy were enrolled from 2007 to 2009 in this study. NLR, dNLR, PLR and LMR were calculated from peripheral blood cell count taken at pre-operation. Receiver operating curve (ROC) was used to determine the optimal cut-off levels for these biomarkers. A predictive model or nomogram was established to predict prognosis for cancer-specific survival (CSS) and disease-free survival (DFS), and the predictive accuracy of the nomogram was determined by concordance index (c-index). The median follow-up period was 24 months ranging from 3 months to 60 months. The optimal cut-off levels were 2.36 for NLR, 1.85 for dNLR, 132 for PLR and 4.95 for LMR by ROC curves analysis. Elevated NLR, dNLR and PLR were significantly associated with worse overall survival (OS), CSS and DFS, however, elevated LMR showed an adverse effect on worse OS, CSS and DFS. Multivariate analysis revealed that elevated dNLR was an independent factor for worse OS, and NLR was superior to dNLR, PLR and LMR in terms of hazard ratio (HR = 1.53, 95% CI = 1.11-2.11, P = 0.010), which was shown to be independent prognostic indicators for both CSS and DFS. Moreover, the nomogram could more accurately predict CSS (c-index: 0.89) and DFS (c-index: 0.84) in surgical GC patients. Pre-operative NLR and dNLR may serve as potential prognostic biomarkers in patients with GC who underwent surgical resection. The proposed nomograms can be used for the prediction of CSS and DFS in patients with GC who have undergone gastrectomy.

1 January 2015 in FEBS Open Bio
Verified
Journal Article
Open access
JCJie Chen
Jie Chen
QDQiwen Deng
Qiwen Deng
YPYuqin Pan
Yuqin Pan
BHBangshun He
Bangshun He
HYHouqun Ying
Houqun Ying
SWShu kui Wang
Shu kui Wang
Inflammation is an essential component of pathogenesis and progression of cancer. A high neutrophil‐to‐lymphocyte ratio (NLR) is considered as a prognostic indicator for breast cancer. This meta‐analysis was conducted to establish the overall accuracy of the NLR test in the diagnosis of breast cancer. A comprehensive search of the literature was conducted by using PubMed, Web of Science and China National Knowledge Infrastructure (CNKI). Published studies dating up to July 2014 and 4,293 patients were enrolled in the present study. In order to evaluate the association between NLR and overall survival (OS), disease‐free survival (DFS), recurrence‐free survival (RFS) or cancer specific survival (CSS), the hazard ratios (HRs) and their 95% confidence intervals (CIs) were extracted. OS was the primary outcome. The results suggested that increased NLR was a strong predictor for OS with HR of 2.28 (95% CI = 1.08–4.80,Pheterogeneity< 0.001). Stratified analyses indicated that a high NLR appeared to be a negative prognostic marker in Caucasian populations (HR = 4.53, 95% CI = 3.11–6.60,Pheterogeneity= 0.096), multivariate analysis method (HR = 2.10, 95% CI = 1.52–2.89,Pheterogeneity= 0.591), and mixed metastasis (HR = 4.53, 95% CI = 3.11–6.60,Pheterogeneity= 0.096). Elevated NLR was associated with a high risk for DFS (HR = 1.38, 95% CI = 1.09–1.74,Pheterogeneity= 0.050) and in subgroups of multivariate analysis (HR = 1.64, 95% CI = 1.25–2.14,Pheterogeneity= 0.545) and mixed metastasis (HR = 1.99, 95% CI = 1.28–3.09,Pheterogeneity= 0.992). In summary, NLR could be considered as a predictive factor for patients with breast cancer.

3 January 2022 in Journal of Neuroinflammation
Verified
Journal Article
Open access
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HSHuiling Sun
Huiling Sun
SLShuo Li
Shuo Li
ZXZhaohan Xu
Zhaohan Xu
CLChengfang Liu
Chengfang Liu
PGPengyu Gong
Pengyu Gong
FYFuling Yan
Fuling Yan
Background: Abnormal expression of long noncoding RNAs (lncRNAs) has been reported in the acute stage of acute ischemic stroke (AIS). This study aimed to explore differential lncRNA expression in the subpopulations of peripheral blood mononuclear cells (PBMCs) from AIS patients and further evaluate its underlying mechanisms in stroke-induced immunosuppression.Methods: We reanalyzed lncRNA microarray data and investigated abnormally expressed lncRNAs in the subpopulations of PBMCs by magnetic cell sorting and real-time quantitative PCR. The potential mechanism of small nucleolar RNA host gene 15 (SNHG15) was explored through in vitro and in vivo approaches.Results: The stroke-induced SNHG15 acted as a checkpoint to inhibit peripheral inflammatory responses. Functional studies showed that SNHG15 promoted M2 macrophage polarization. Mechanistically, SNHG15 expression was dysregulated through the Janus kinase (JAK)-signal transducer and activator of transcription 6 (STAT6) signaling pathway. SNHG15, localized in the cytoplasm, interfered with K63-linked ubiquitination of tumor necrosis factor receptor-associated factor 2 and thereby repressed the activation of mitogen-activated protein kinase and nuclear factor kappa-B signaling pathways and prevented the production of proinflammatory cytokines. Administration of an adenovirus targeting SNHG15 improved stroke-induced immunosuppression in mice.Conclusions: This study identified SNHG15 as a negative regulator of inflammation in stroke-induced immunosuppression, suggesting it as a novel biomarker and therapeutic target in stroke-associated infection.Trial registrationClinicalTrials.gov NCT04175691. Registered November 25, 2019,https://www.clinicaltrials.gov/ct2/show/NCT04175691.

24 July 2014 in PLOS ONE
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Journal Article
Open access
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QDQiwen Deng
Qiwen Deng
BHBangshun He
Bangshun He
TGTianyi Gao
Tianyi Gao
YPYuqin Pan
Yuqin Pan
HSHuiling Sun
Huiling Sun
SWShu kui Wang
Shu kui Wang
Long noncoding RNAs (lncRNAs) play widespread roles in gene regulation and cellular processes. However, the functional roles of lncRNAs in colorectal cancer (CRC) are not yet well elucidated. The aim of the present study was to measure the levels of lncRNA 91H expression in CRC and evaluate its clinical significance and biological roles in the development and progression of CRC. 91H expression and copy number variation (CNV) were measured in 72 CRC tumor tissues and adjacent normal tissues by real-time PCR. The biological roles of 91H were evaluated by MTT, scratch wound assay, migration and invasion assays, and flow cytometry. 91H was significantly overexpressed in cancerous tissue and CRC cell lines compared with adjacent normal tissue and a normal human intestinal epithelial cell line. Moreover, 91H overexpression was closely associated with distant metastasis and poor prognosis in patients with CRC, except for CNV of 91H. Multivariate analysis indicated that 91H expression was an independent prognostic indicator, as well as distant metastasis. Our in vitro data indicated that knockdown of 91H inhibited the proliferation, migration, and invasiveness of CRC cells. 91H played an important role in the molecular etiology of CRC and might be regarded as a novel prognosis indicator in patients with CRC.

10 January 2014 in Tumor Biology
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Journal Article
Closed access
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YXYeqiong Xu
Yeqiong Xu
BHBangshun He
Bangshun He
YPYuqin Pan
Yuqin Pan
QDQiwen Deng
Qiwen Deng
HSHuiling Sun
Huiling Sun
SWShu kui Wang
Shu kui Wang