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Jing Li

Researcher at University of Tennessee Health Science Center

Publications -  12
Citations -  261

Jing Li is an academic researcher from University of Tennessee Health Science Center. The author has contributed to research in topics: Cancer & Wnt signaling pathway. The author has an hindex of 4, co-authored 12 publications receiving 195 citations.

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Wnt signaling as potential therapeutic target in lung cancer

TL;DR: The results from clinical studies suggest that inhibitors targeting the Wnt pathway show promise against lung cancer, and the regulatory roles of microRNAs in Wnt signaling are expounded, as well as the potential of the WNT pathway to provide biomarkers and therapeutic targets in lung cancer.
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Sox2 inhibits Wnt-β-catenin signaling and metastatic potency of cisplatin-resistant lung adenocarcinoma cells

TL;DR: The results demonstrated that an enforced expression of Sox2 led to inhibition of Wnt/β-catenin signaling activity, potentially by upregulating glycogen synthase kinase 3 β in A549 and A549/DDP cells.
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Wnt5a Increases Properties of Lung Cancer Stem Cells and Resistance to Cisplatin through Activation of Wnt5a/PKC Signaling Pathway.

TL;DR: Data suggested that the Wnt5a could promote lung cancer cell mobility and cisplatin-resistance through a Wnt/PKC signaling pathway and a blockage of this signaling may be an alternative therapeutic strategy for NSCLC patients with resistance to chemotherapies.
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The Data set for Patient Information Based Algorithm to Predict Mortality Cause by COVID-19.

TL;DR: A new methodology, Patient Information Based Algorithm (PIBA) has been adapted to process the data and used to estimate the death rate of COVID-19 in real-time, and the trendline of these death rate curves meet the curve of current ratio between accumulative death cases and confirmed cases at some points in the near future.