Jiping Wang

Ms. Jiping Wang

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 April 2022 in Chinese Chemical Letters
Verified
Journal Article
Closed access
LWLili Wang
Lili Wang
LCLong Chen
Long Chen
JWJiping Wang
Jiping Wang
LWLiying Wang
Liying Wang
CGChenyu Gao
Chenyu Gao
CQChangyun Quan
Changyun Quan

1 July 2015 in Neuroscience Letters
Verified
Journal Article
Closed access
MHMiaomiao Han
Miaomiao Han
DYDongzhen Yu
Dongzhen Yu
QSQiang Song
Qiang Song
JWJiping Wang
Jiping Wang
PDPin Dong
Pin Dong
JHJingchun He
Jingchun He

9 February 2013 in Biotechnology Letters
Verified
Journal Article
Closed access
PDF file
JXJin-Ai Xue
Jin-Ai Xue
XMXue Mao
Xue Mao
ZYZhi-Rong Yang
Zhi-Rong Yang
YWYong-Mei Wu
Yong-Mei Wu
XJXiao-Yun Jia
Xiao-Yun Jia
RLRunzhi Li
Runzhi Li

21 December 2011 in Biochemical Journal
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Journal Article
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CXChundi Xu
Chundi Xu
FDFenge Deng
Fenge Deng
ZMZuohua Mao
Zuohua Mao
JZJing Zhang
Jing Zhang
HWHuijun Wang
Huijun Wang
DMDuan Ma
Duan Ma
TFPI-2 (tissue factor pathway inhibitor-2) has recently been recognized as a new tumour suppressor gene. Low expression of this protein in several types of cancers allows for enhanced tumour growth, invasion and metastasis. To investigate the molecular mechanism responsible for the tumour-suppressor effects of TFPI-2, we performed yeast two-hybrid analysis and identified PSAP (prosaposin) as a TFPI-2-interacting partner. This interaction was confirmed by co-immunoprecipitation and immunofluorescence. The region of TFPI-2 that interacts with PSAP is located in the KD2 (Kunitz-type domain 2). Further study showed that PSAP does not affect the function of TFPI-2 as a serine proteinase inhibitor, but that TFPI-2 could inhibit the invasion-promoting effects of PSAP in human HT1080 fibrosarcoma cells. The results of the present study revealed that TFPI-2 interacts with PSAP, which may play an important role in the physiology and pathology of diseases such as cancer.


30 November 2020 in Entropy
Verified
Journal Article
Open access
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HMHao Mei
Hao Mei
YXYaqing Xu
Yaqing Xu
JWJiping Wang
Jiping Wang
SMShuangge Ma
Shuangge Ma
Abdominal aortic aneurysm (AAA) is a localized enlargement of the abdominal aorta. Once ruptured AAA (rAAA) happens, repairing procedures need to be applied immediately, for which there are two main options: open aortic repair (OAR) and endovascular aortic repair (EVAR). It is of great clinical significance to objectively compare the survival outcomes of OAR versus EVAR using randomized clinical trials; however, this has serious feasibility issues. In this study, with the Medicare data, we conduct an emulation analysis and explicitly “assemble” a clinical trial with rigorously defined inclusion/exclusion criteria. A total of 7826 patients are “recruited”, with 3866 and 3960 in the OAR and EVAR arms, respectively. Mimicking but significantly advancing from the regression-based literature, we adopt a deep learning-based analysis strategy, which consists of a propensity score step, a weighted survival analysis step, and a bootstrap step. The key finding is that for both short- and long-term mortality, EVAR has survival advantages. This study delivers a new big data strategy for addressing critical clinical problems and provides valuable insights into treating rAAA using OAR and EVAR.