Hao Wen Hui

Dr. Hao Wen Hui


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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18 October 2024 in Chinese Journal of Natural Medicines
Verified
Journal Article
Closed access
YLYichen Li
Yichen Li
LHLiting Huang
Liting Huang
JLJilang Li
Jilang Li
SLSiyuan Li
Siyuan Li
JLJianzhen Lv
Jianzhen Lv
HHHao Wen Hui
Hao Wen Hui

24 October 2024 in International Journal of Molecular Medicine
Verified
Journal Article
Open access
PDF file
HHHao Wen Hui
Hao Wen Hui
BRBarani Kumar Rajendran
Barani Kumar Rajendran
TCTingting Cui
Tingting Cui
JSJiayi Sun
Jiayi Sun
YZYingchun Zhao
Yingchun Zhao
MSMasilamani Selvam
Masilamani Selvam
In the modern era of medicine, prognosis and treatment, options for a number of cancer types including breast cancer have been improved by the identification of cancer‑specific biomarkers. The availability of high‑throughput sequencing and analysis platforms, the growth of publicly available cancer databases and molecular and histological profiling facilitate the development of new drugs through a precision medicine approach. However, only a fraction of patients with breast cancer with few actionable mutations typically benefit from the precision medicine approach. In the present review, the current development in breast cancer driver gene identification, actionable breast cancer mutations, as well as the available therapeutic options, challenges and applications of breast precision oncology are systematically described. Breast cancer driver mutation‑based precision oncology helps to screen key drivers involved in disease development and progression, drug sensitivity and the genes responsible for drug resistance. Advances in precision oncology will provide more targeted therapeutic options for patients with breast cancer, improving disease‑free survival and potentially leading to significant successes in breast cancer treatment in the near future. Identification of driver mutations has allowed new targeted therapeutic approaches in combination with standard chemo‑ and immunotherapies in breast cancer. Developing new driver mutation identification strategies will help to define new therapeutic targets and improve the overall and disease‑free survival of patients with breast cancer through efficient medicine.

19 June 2026 in Biochimica et Biophysica Acta (BBA) - Reviews on Cancer
Verified
Journal Article
Closed access
YGYingchao Guan
Yingchao Guan
DBDie Bai
Die Bai
NBNa Bu
Na Bu
HHHao Wen Hui
Hao Wen Hui
YMYasen Maimaitiyiming
Yasen Maimaitiyiming

22 August 2025 in Medicine
Verified
Journal Article
Open access
JSJiayi Sun
Jiayi Sun
YGYingchao Guan
Yingchao Guan
DZDong Zhao
Dong Zhao
SDSixuan Du
Sixuan Du
HHHao Wen Hui
Hao Wen Hui
Gout is an inflammatory condition primarily driven by elevated serum urate levels, with metabolic factors playing key roles. Mendelian randomization (MR) was employed to assess the causal impact of 249 specific metabolic traits on gout risk. We used data from the UK Biobank as exposures and conducted a MR analysis with gout as the outcome of a large-scale association study. The inverse-variance-weighted method served as the primary analytical approach, supplemented by the weighted median and MR-Egger techniques. False discovery rate corrections and the MR Pleiotropy Residual Sum and Outlier method were applied to ensure robust results. Significant associations were found for alanine levels, glycoprotein acetyls, ratio of cholesteryl esters to total lipids in medium very low-density lipoprotein, ratio of triglycerides to phosphoglycerides, and triglyceride to total lipid ratio in very large high-density lipoprotein, indicating that these metabolic traits are causally linked to gout. Our findings confirmed the causal relationships between certain metabolic profiles and the risk of developing gout, highlighting potential targets for preventive and therapeutic interventions.

27 May 2026 in Biomolecules
Verified
Journal Article
Open access
PDF file
BMBa-Fang Ma
Ba-Fang Ma
JYJun-Nan Ye
Jun-Nan Ye
DBDie Bai
Die Bai
CGChang Ge
Chang Ge
YGYingchao Guan
Yingchao Guan
YMYasen Maimaitiyiming
Yasen Maimaitiyiming
Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy with a poor prognosis, largely due to therapeutic resistance and the limited availability of effective targeted therapies. Aloperine (ALO), a natural alkaloid derived from Sophora alopecuroides L., exhibits anti-cancer properties in various tumor types; however, its therapeutic potential and underlying mechanism in ESCC remain unclear. Here, we report that ALO inhibited ESCC cell proliferation and colony formation in a dose- and time-dependent manner and induced caspase-dependent apoptosis, accompanied by loss of mitochondrial membrane potential and PARP1 cleavage. Mechanistically, ALO significantly suppressed inflammatory pathways, with IL-6 identified as a critical downregulated target. ALO inhibited IL-6 production by targeting the AP-1 transcription factor complex, as evidenced by reduced cFOS expression and suppressed cJUN phosphorylation. Consequently, ALO inhibited downstream IL-6/JAK-STAT3 signaling. Functionally, exogenous IL-6 rescued ALO-induced loss of cell viability. Notably, the combination of ALO with cisplatin exerted synergistic antitumor effects. In a syngeneic mice model, the combination therapy significantly reduced tumor growth and Ki67 expression while inducing apoptosis, as shown by increased TUNEL staining and cleaved caspase-3 expression, and further suppressing the IL-6/STAT3 axis compared with either monotherapy. Together, these findings demonstrate that ALO exerts potent anti-ESCC activity by targeting the AP-1/IL-6/STAT3 signaling axis. The synergistic efficacy of ALO with cisplatin highlights its potential as a promising therapeutic agent to overcome chemoresistance and improve outcomes in ESCC patients.