Kuiqing Li
Sun Yat-sen University
18 Papers
18 Citations
Kuiqing Li is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 5, co-authored 10 publications.
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Papers
NOTCH1 signaling promotes chemoresistance via regulating ABCC1 expression in prostate cancer stem cells.
TL;DR: Fluorescence-activated cell sorting revealed that the sorted PCSCs showed enhanced chemoresistance ability than matched non-PCSCs, which might be one of the important mechanisms underlying the Chemoresistance of PCSC’s.
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Nox4 has a crucial role in uric acid‑induced oxidative stress and apoptosis in renal tubular cells.
TL;DR: It was demonstrated that elevated uric acid promoted ROS‑induced tubular cell apoptosis by upregulating Nox4 expression and provided possible mechanisms and a potential therapeutic target of uric Acid‑induced chronic kidney disease.
Comparative analysis of retrograde intrarenal surgery and modified ultra-mini percutaneous nephrolithotomy in management of lower pole renal stones (1.5-3.5 cm).
Zhuohang Li,Cong Lai,Arvind Kumar Shah,Weibin Xie,Cheng Liu,Li Huang,Kuiqing Li,Hao Yu,Kewei Xu +8 more
TL;DR: The modified UMP technique was used in this study to improve the surgical efficiency and maintain low pressure perfusion in the kidney, which resulted in superior treatment efficacy and is highly recommend for LPSs with heavy stone burdens.
Pirarubicin induces an autophagic cytoprotective response through suppression of the mammalian target of rapamycin signaling pathway in human bladder cancer cells.
TL;DR: Autophagy induced by pirarubicin plays a cytoprotective role in bladder cancer cells, suggesting that inhibition of autophagy may improve efficacy over traditional pirarUBicin chemotherapy in bladder cancers patients.
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Gene expression profiling of WDR5 regulated genes in bladder cancer.
TL;DR: This study performed a genome-wide analysis on WDR5 knockdown by microarray gene expression profiling and provides detailed experimental methods and analysis for the microarray data, which have been deposited into Gene Expression Omnibus (GEO): GSE59132.
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