Z
Zaoqu Liu
Researcher at Zhengzhou University
Publications - 95
Citations - 892
Zaoqu Liu is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 6, co-authored 26 publications receiving 78 citations.
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Journal ArticleDOI
CELF2 is a candidate prognostic and immunotherapy biomarker in triple-negative breast cancer and lung squamous cell carcinoma: A pan-cancer analysis.
Libo Wang,Zaoqu Liu,Long Liu,Chunguang Guo,Dechao Jiao,Lifeng Li,Jie Zhao,Xinwei Han,Yuling Sun +8 more
TL;DR: Wang et al. as mentioned in this paper found that increased CELF2 expression was associated with better prognosis and superior TIIC infiltration and ICM expression, particularly in BRCA and LUSC.
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CD8+ T cell trajectory subtypes decode tumor heterogeneity and provide treatment recommendations for hepatocellular carcinoma
Long Liu,Zaoqu Liu,Jie Gao,Xu-Dong Liu,Siyuan Weng,C-C Guo,Bowen Hu,Zhihui Wang,Jiakai Zhang,Ji-Hua Shi,Wen-Tao Guo,Shuijun Zhang +11 more
TL;DR: This study developed three clusters with distinct characteristics based on immune cell evolutions, which identified numerous underlying therapeutic agents, which might be conducive to clinical transformation in the future.
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Biological and pharmacological roles of m6A modifications in cancer drug resistance
Zaoqu Liu,Haijiao Zou,Qin Dang,Hui-Xian Xu,Long Liu,Yuyuan Zhang,Jinxiang Lv,Huanyun Li,Zhao‐Zong Zhou,Xinwei Han +9 more
TL;DR: In this article , a review elucidated the underlying role of RNA methyltransferases (writers), demethylases (erasers), and m 6 A-binding proteins (readers) in therapy resistance.
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Comprehensive Molecular Analyses of a Six-Gene Signature for Predicting Late Recurrence of Hepatocellular Carcinoma.
TL;DR: Wang et al. as discussed by the authors developed a novel gene signature with powerful performance for identifying patients at high late recurrence risk in stages I-III hepatocellular carcinoma (HCC), which was validated to significantly associated with dismal recurrence-free survival in three cohorts TCGA-LIHC, GSE76427, and qPCR assays.
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All-in-one bioactive properties of photothermal nanofibers for accelerating diabetic wound healing.
TL;DR: In this article , a comprehensive strategy using near-infrared NIR-assisted oxygen delivery combined with the bioactive nature of biopolymers for remodeling the hypoxic microenvironment (HME) was reported.