Weiyi Zhang

Dr. Weiyi Zhang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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29 January 2020 in Cancers
Verified
Journal Article
Open access
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WZWeiyi Zhang
Weiyi Zhang
JGJie Gao
Jie Gao
CCChuanjing Cheng
Chuanjing Cheng
MZMan Zhang
Man Zhang
WLWenjuan Liu
Wenjuan Liu
GBGang Bai
Gang Bai
At present, melanoma is a common malignant tumor with the highest mortality rate of all types of skin cancer. Although the first option for treating melanoma is with chemicals, the effects are unsatisfactory and include poor medication response and high resistance. Therefore, developing new medicines or a novel combination approach would be a significant breakthrough. Here, we present cinnamaldehyde (CA) as a potential candidate, which exerted an antitumor effect in melanoma cell lines. Chemical biology methods of target fishing, molecular imaging, and live cell tracing by an alkynyl–CA probe revealed that the α-enolase (ENO1) protein was the target of CA. The covalent binding of CA with ENO1 changed the stability of the ENO1 protein and affected the glycolytic activity. Furthermore, our results demonstrated that dacarbazine (DTIC) showed a high promoting effect with CA for antimelanoma both in vivo and in vitro. The combination improved the DTIC cell cycle arrest in the S phase and markedly impacted melanoma growth. As a covalent inhibitor of ENO1, CA combined with DTIC may be beneficial in patients with drug resistance in antimelanoma therapy.

1 January 2025 in Journal of Cancer
Verified
Journal Article
Open access
PDF file
ZTZiruo Talihati
Ziruo Talihati
KAKayisaier Abudurousuli
Kayisaier Abudurousuli
SHSendaer Hailati
Sendaer Hailati
MHMengyuan Han
Mengyuan Han
MNMuhadaisi Nuer
Muhadaisi Nuer
WZWenting Zhou
Wenting Zhou
Objective: Cervical cancer (CC) is one of the most common female malignancies globally. The current study aimed to identify novel hub genes associated with traditional Chinese herbs and investigate their underlying mechanisms using bioinformatics analysis combined with experimental verification.