21 Papers
83 Citations
Lu Chen is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 8, co-authored 21 publications.
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Papers
Cell division cycle 20 (CDC20) drives prostate cancer progression via stabilization of β-catenin in cancer stem-like cells.
Qin Zhang,Hai Huang,Ao Liu,Jiang Li,Chunying Liu,Bin Sun,Lu Chen,Yi Gao,Danfeng Xu,Changqing Su +9 more
TL;DR: The authors' results indicated that CDC20 maintains the self-renewal ability of CD44+ prostate CSCs by promoting nuclear translocation and trans-activation of β-catenin, and can serve as an important indicator for prognosis of patients with prostate cancer.
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Colonic stenting vs emergent surgery for acute left-sided malignant colonic obstruction: a systematic review and meta-analysis.
TL;DR: SEMS is not obviously more advantageous than emergent surgery for patients with acute left-sided malignant colonic obstruction, and Summary risk ratios (RR) and 95% CI for colonic stenting andEmergent surgery were calculated.
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Aberrant activation of m6A demethylase FTO renders HIF2α low/− clear cell renal cell carcinoma sensitive to BRD9 inhibitors
ChuanJie Zhang,ChuanJie Zhang,Lu Chen,WeiJuan Lou,JunHui Su,Jingyi Huang,Ao Liu,Yang Xu,Hongchao He,Yi Gao,Danfeng Xu,Qing-Quan Li +11 more
TL;DR: In this paper, the authors identify potential drug targets in HIF2αlow/− ccRCCs that highly express HIF 2α, and identify the most effective drug targets.
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EIF3D promotes sunitinib resistance of renal cell carcinoma by interacting with GRP78 and inhibiting its degradation.
TL;DR: Results indicate that EIF3D played an important role in sunitinib resistance of RCC cells, suggesting that it may prove to be a potential therapeutic target for RCC.
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Identification of prognostic markers of high grade prostate cancer through an integrated bioinformatics approach.
Hai Huang,Qin Zhang,Chen Ye,Jian-Min Lv,Xi Liu,Lu Chen,Hao Wu,Lei Yin,Xingang Cui,Danfeng Xu,Wenhui Liu +10 more
TL;DR: The present study applied integrate bioinformatics approaches to generate a holistic view of high grade prostate cancer and identified hub genes could serve as prognosis markers and potential treatment targets.
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