Kai Zhao

Dr. Kai Zhao


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 March 2016 in IET Circuits, Devices & Systems
Verified
Journal Article
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CWChuang Wang
Chuang Wang
ZLZunchao Li
Zunchao Li
KZKai Zhao
Kai Zhao
QGQiang Guo
Qiang Guo
A self‐powered convertor for thermoelectric energy harvesting in body sensor nodes (BSNs) is designed to boost extremely low voltage to the typical supply voltage of BSNs. An adaptive maximum power point tracking (MPPT) based on digitally controlled oscillator (DCO) is achieved by adjusting the switching frequency according to the relation between the half open‐circuit voltage of thermoelectric generator and the equivalent voltage. DCO exhibits small line sensitivity and temperature coefficient (TC). Radio frequency (RF) kick‐start based on a self‐synchronous rectifier is introduced to achieve the no‐battery effect. A modified zero current switching based on the common‐gate comparator is utilised to decrease the power dissipation of power metal–oxide–semiconductor field‐effect transistors. In addition, the power dissipation of the main blocks is reduced by discontinuing the clocked and common‐gate comparators after comparison in each cycle, and by making most transistors of DCO and the complementary metal‐oxide‐semiconductor (CMOS) voltage reference work in the weak inversion or linear region. The zero TC principle of the CMOS voltage reference is extended to all process. The novel convertor is designed and verified in Central Semiconductor Manufacturing Corporation CMOS 0.18 µm process. The results reveal that it achieves adaptive MPPT without battery and exhibits a peak end‐to‐end efficiency of about 63%.

16 April 2018 in Cancer Medicine
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Journal Article
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KZKai Zhao
Kai Zhao
Shang-You YangShang-You Yang
Shang-You Yang
JGJun Geng
Jun Geng
XGXUAN GONG
XUAN GONG
WGWeiming Gong
Weiming Gong
BNBin Ning
Bin Ning
Investigate whether rAAV‐anginex gene therapy combined with radiotherapy could decrease growth and pulmonary metastasis of osteosarcoma in mice and examine the mechanisms involved in this therapeutic strategy. During in vitro experiment, multiple treatment regimes (rAAV‐eGFP, radiotherapy, rAAV‐anginex, combination therapy) were applied to determine effects on proliferation of endothelial cells (ECs) and G‐292 osteosarcoma cells. During in vivo analysis, the same multiple treatment regimes were applied to osteosarcoma tumor‐bearing mice. Use microcomputed tomography to evaluate tumor size. Eight weeks after tumor cell inoculation, immunohistochemistry was used to assess the therapeutic efficacy according to microvessel density (MVD), proliferating cell nuclear antigen (PCNA), and terminal‐deoxynucleotidyl transferase‐mediated nick‐end labeling (TUNEL) assays. Metastasis of lungs was also evaluated by measuring number of metastatic nodules and wet weight of metastases. The proliferation of ECs and the tumor volumes in combination therapy group were inhibited more effectively than the other three groups at end point (P < 0.05). Cell clone assay showed anginex had radiosensitization effect on ECs. Immunohistochemistry showed tumors from mice treated with combination therapy exhibited the lowest MVD and proliferation rate, with highest apoptosis rate, as confirmed by IHC staining for CD34 and PCNA and TUNEL assays (P < 0.05). Combination therapy also induced the fewest metastatic nodules and lowest wet weights of the lungs (P < 0.05). rAAV‐anginex combined with radiotherapy induced apoptosis of osteosarcoma cells and inhibited tumor growth and pulmonary metastasis on the experimental osteosarcoma models. We conclude that the primary mechanism of this process may be due to sensitizing effect of anginex to radiotherapy.

25 February 2025 in Pathology - Research and Practice
Verified
Journal Article
Closed access
CWCheng Wang
Cheng Wang
GGGe Gao
Ge Gao
QCQin Che
Qin Che
SZShikang Zheng
Shikang Zheng
YYYing Yang
Ying Yang
MLMingbo Liu
Mingbo Liu

25 March 2022 in Disease Markers
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Journal Article
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JFJunda Fan
Junda Fan
CWCheng Wang
Cheng Wang
XZXingyou Zhai
Xingyou Zhai
JLJianhui Li
Jianhui Li
JJJun Ju
Jun Ju
MLMingbo Liu
Mingbo Liu
Hypopharyngeal squamous cell carcinoma (HSCC) is highly malignant and extremely aggressive, making it one of the worst prognoses among all kinds of head and neck squamous cell carcinoma (HNSCC); therefore, gaining insight into molecular mechanisms of HSCC is of profound significance. In the current manuscript, we revealed the elevated expression of long noncoding RNA (lncRNA) LEF1-AS1 in HNSCC which was associated with the poor prognosis by bioinformatic analysis. Moreover, we noticed that LEF1-AS1 dramatically accelerated the proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT) process in HSCC cell line FaDu. Most importantly, we illustrated that LEF1-AS1 played as a competitive endogenous RNA (ceRNA) via sponging miR-221-5p and thereby positively regulated gap junction protein alpha 1 (GJA1) expression, thus aggravated tumor progression and EMT. In conclusion, for the first time, we demonstrated lncRNA LEF1-AS1 as a novel biomarker for HNSCC and suggested LEF1-AS1/miR-221-5p/GJA1 axis as promising diagnostic and therapeutic target for HSCC treatment.

18 April 2022 in Journal of Immunology Research
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Journal Article
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YZYuying Zhu
Yuying Zhu
SZShikang Zheng
Shikang Zheng
XZXingyou Zhai
Xingyou Zhai
CWCheng Wang
Cheng Wang
ALAijun Liu
Aijun Liu
MLMingbo Liu
Mingbo Liu
Myosin superfamily, a large and diverse family of molecular motors important for cell motility and migration, has been illustrated to play contradictory roles during the development of several kinds of tumors. However, the function and prognostic values of MYOs in head and neck squamous cell carcinoma (HNSCC) still remain largely unknown. In the current manuscript, the expression levels and clinical data of MYOs in HNSCC were investigated by online databases, including Oncomine, GEPIA, GEO, TCGA, HPA, UALCAN, Kaplan-Meier plotter, and CancerSEA; we found that the expression levels of MYO1B, MYO5A, and MYO10 were significantly elevated in HNSCC tissues, which were also correlated with the unfavorable overall survival (OS) of the patients. Furthermore, MYO1B/MYO5A/MYO10 interacting genes were identified, and the protein-protein interaction (PPI) networks were constructed by STRING and GeneMANIA. The enrichment analysis revealed that MYO1B/MYO5A/MYO10 associated genes mainly participated in cell metastasis and EMT processes, which were also confirmed by cell functional experiments. At last, the ssGSEA method was conducted to investigate the extent of immune cell infiltration, and we found that both the expression of MYO1B/MYO5A/MYO10 were closely correlated with the infiltration of immune cells in HNSCC. These findings implied that MYO1B, MYO5A, and MYO10 as novel prognostic factors for HNSCC and provided new strategy for HNSCC treatment.

11 April 2025 in Scientific Reports
Verified
Journal Article
Open access
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XPXiazhi Pan
Xiazhi Pan
QCQin Che
Qin Che
DLDuanshali Liu
Duanshali Liu
YXYingli Xie
Yingli Xie
BLBeicheng Li
Beicheng Li
MLMingbo Liu
Mingbo Liu
Endoplasmic reticulum stress (ERS) is an intracellular process in which improperly folded proteins lead to a cellular stress response. How endoplasmic reticulum stress contributes to the onset and progression of laryngeal squamous cell carcinoma remains unclear. Our research aimed to find an ERS signature to forecast the prognosis of laryngeal squamous cell carcinoma and to investigate its potential biological functions. LSCC sample data obtained from The Cancer Genome Atlas (TCGA) database were co-expressed with ERS- related genes, and then a prognostic signature on the basis of endoplasmic reticulum stress- related lncRNAs (ERS-related lncRNAs) was constructed by differential analysis and Cox regression analysis. Survival analysis, TMB, consensus cluster analysis, drug sensitivity analysis, immune analysis and clinical drug prediction were carried out on the model. Finally, the function of LHX1-DT was verified by in vitro experiments. From the TCGA-LSCC cohort, 35 significantly different ERS-related lncRNAs were identified. A prognostic signature consisting of three lncRNAs (AC110611.2, LHX1-DT, and AL157373.2) was identified. Kaplan–Meier analysis demonstrated the predictive ability of the model for overall survival. Calibration curves and receiver operating characteristic curves were validated and showed high predictive accuracy. Ultimately, the experimental results verified the expression of LHX1-DT in LSCC.