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Shanliang Zheng

Researcher at Harbin Institute of Technology

Publications -  9
Citations -  116

Shanliang Zheng is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Medicine & Cancer research. The author has an hindex of 1, co-authored 1 publications receiving 30 citations.

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Photothermal conversion-coordinated Fenton-like and photocatalytic reactions of Cu2-xSe-Au Janus nanoparticles for tri-combination antitumor therapy

TL;DR: This work opens up the route synergistically integrating photothermal therapy with chemodynamic therapy and photocatalytic therapy into tri-combination antitumor therapy, simply by heterojunction of semiconductor and noble metal.
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Calcium homeostasis and cancer: insights from endoplasmic reticulum-centered organelle communications.

TL;DR: In this article , the authors discuss the dysregulation of ER-centered Ca2+ homeostasis in cancer, summarize Ca2-based anticancer therapeutics, and highlight the significance of furthering their understanding of Ca2 + homeostase regulation in cancer.
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iASPP suppresses Gp78-mediated TMCO1 degradation to maintain Ca2+ homeostasis and control tumor growth and drug resistance

TL;DR: It is demonstrated that a reported Ca2+-channel protein TMCO1 is overexpressed in colon cancer tissues at protein levels but not at messenger RNA levels in Colon cancer, and iASPP-TMCO1 represents a promising anticancer treatment target by modulating Ca 2+ homeostasis.
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iASPP is essential for HIF-1α stabilization to promote angiogenesis and glycolysis via attenuating VHL-mediated protein degradation

TL;DR: It is suggested that the oncogene iASPP contributes to HIF-1α activation in cancers, and that iAS PP-mediated Hif-1 α stabilization has potential as a therapeutic approach against cancer.
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lncRNA HITT inhibits metastasis by attenuating Rab5-mediated endocytosis in lung adenocarcinoma

TL;DR: In this paper , the authors identified a Rab5 inhibitor, a long non-coding RNA, namely HITT (HIF-1α inhibitor at translation level), which is inversely associated with advanced stages and poor prognosis of lung adenocarcinoma patients with area under receiver operating characteristics (ROC) curve (AUC) 0.6473.