M
Mengke Niu
Researcher at Huazhong University of Science and Technology
Publications - 6
Citations - 409
Mengke Niu is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Tumor microenvironment & Cancer. The author has an hindex of 3, co-authored 6 publications receiving 55 citations. Previous affiliations of Mengke Niu include Zhengzhou University.
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Regulation of PD-L1 expression in the tumor microenvironment.
TL;DR: In this paper, the authors focused on PD-L1 regulators at the levels of transcription, post-transcription, and post-translation, and discussed potential applications of these laboratory findings in the clinic.
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The construction, expression, and enhanced anti-tumor activity of YM101: a bispecific antibody simultaneously targeting TGF-β and PD-L1.
Ming Yi,Jing Zhang,Anping Li,Mengke Niu,Mengke Niu,Yongxiang Yan,Ying Jiao,Suxia Luo,Pengfei Zhou,Kongming Wu,Kongming Wu +10 more
TL;DR: In this paper, an anti-TGF-β/PD-L1 bispecific antibody YM101 was developed based on the Check-Body™ technology platform, which could simultaneously block TGFβ and PD-L 1 pathway and had a superior anti-tumor effect compared to the monotherapies.
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Predictive biomarkers of anti-PD-1/PD-L1 therapy in NSCLC
TL;DR: In this article, the authors summarized the latest advances in this field, and discussed the potential applications of these laboratory findings in the clinic, and further exploration of biomarkers would be favorable for the best selection of patients and precisely predict the efficacy of anti-PD-1/PD-L1 treatment.
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Combine and conquer: manganese synergizing anti-TGF-β/PD-L1 bispecific antibody YM101 to overcome immunotherapy resistance in non-inflamed cancers.
Ming Yi,Mengke Niu,Jing Zhang,Shiyu Li,Shuangli Zhu,Yongxiang Yan,Ning Li,Pengfei Zhou,Qian Chu,Kongming Wu,Kongming Wu +10 more
TL;DR: In this paper, the effect of Bivalent Manganese (Mn2+) and bispecific antibody YM101 on the STING pathway was investigated in immunostained human and syngeneic murine tumor models.
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Epidemiological trends of women's cancers from 1990 to 2019 at the global, regional, and national levels: a population-based study.
TL;DR: In this paper, the authors conducted a cross-sectional study based on the epidemiologic data of Global Burden of Disease 2019 to study the burden and trend of women's cancers.