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Your search keyword '"Geng, Haigang"' showing total 24 results
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24 results on '"Geng, Haigang"'

8. Depp1 Emerges as a Prognostic Biomarker Associated with Stroma-Rich and Immunosuppressive Microenvironment and Predicts Poor Chemotherapy Response in Gastric Cancer

Author

Qiu, Xudong, primary, Pan, Tao, additional, Shen, Yanying, additional, Kuang, Tian, additional, Zheng, Yihan, additional, Geng, Haigang, additional, Aimaiti, Muerzhate, additional, Ni, Bo, additional, Xia, Xiang, additional, Zhu, Chunchao, additional, Zhang, Zizhen, additional, Zhao, En-Hao, additional, Cao, Hui, additional, and Tu, Lin, additional

Published
2024
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9. CD177 drives the transendothelial migration of Treg cells enriched in human colorectal cancer

Author

Ke, Shouyu, primary, Lei, Yi, additional, Guo, Yixian, additional, Xie, Feng, additional, Yu, Yimeng, additional, Geng, Haigang, additional, Zhong, Yiqing, additional, Xu, Danhua, additional, Liu, Xu, additional, Yu, Fengrong, additional, Xia, Xiang, additional, Zhang, Zizhen, additional, Zhu, Chunchao, additional, Ling, Wei, additional, Li, Bin, additional, and Zhao, Wenyi, additional

Published
2024
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12. Thermal Energy-Driven Solid-State Molecular Rotation Monitored by Real-Time Emissive Color Switching

Author

Wen-Yong Lai, Lanqing Dai, Qi Qi, Dong Chen, Chenxi Hou, Wei Huang, Lin Jiao, Geng Haigang, and Junfeng Li

Subjects
Materials science, business.industry, Chemical physics, Thermal, Solid-state, Molecular rotation, General Chemistry, Molecular rotors, business, Thermal energy, Molecular machine
Abstract

Inspired by nature’s molecular machines, the scientific research on solid-state molecular rotors is of great interest yet remains largely unexplored. Herein, we report a unique example of a thermal...

Published
2022

23. Leveraging synthetic lethality to uncover potential therapeutic target in gastric cancer

Author

Geng, Haigang, Qian, Ruolan, Zhong, Yiqing, Tang, Xiangyu, Zhang, Xiaojun, Zhang, Linmeng, Yang, Chen, Li, Tingting, Dong, Zhongyi, Wang, Cun, Zhang, Zizhen, and Zhu, Chunchao

Abstract

Since trastuzumab was approved in 2012 for the first-line treatment of gastric cancer (GC), no significant advancement in GC targeted therapies has occurred. Synthetic lethality refers to the concept that simultaneous dysfunction of a pair of genes results in a lethal effect on cells, while the loss of an individual gene does not cause this effect. Through exploiting synthetic lethality, novel targeted therapies can be developed for the individualized treatment of GC. In this study, we proposed a computational strategy named Gastric cancer Specific Synthetic Lethality inference (GSSL) to identify synthetic lethal interactions in GC. GSSL analysis was used to infer probable synthetic lethality in GC using four accessible clinical datasets. In addition, prediction results were confirmed by experiments. GSSL analysis identified a total of 34 candidate synthetic lethal pairs, which included 33 unique targets. Among the synthetic lethal gene pairs, TP53-CHEK1was selected for further experimental validation. Both computational and experimental results indicated that inhibiting CHEK1could be a potential therapeutic strategy for GC patients with TP53mutation. Meanwhile, in vitro experimental validation of two novel synthetic lethal pairs TP53-AURKBand ARID1A-EP300further proved the universality and reliability of GSSL. Collectively, GSSL has been shown to be a reliable and feasible method for comprehensive analysis of inferring synthetic lethal interactions of GC, which may offer novel insight into the precision medicine and individualized treatment of GC.

Published
2023
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24. Precision treatment in advanced hepatocellular carcinoma.

Author

Yang, Xupeng, Yang, Chen, Zhang, Shu, Geng, Haigang, Zhu, Andrew X., Bernards, René, Qin, Wenxin, Fan, Jia, Wang, Cun, and Gao, Qiang

Subjects
*HEPATOCELLULAR carcinoma, *INDIVIDUALIZED medicine, *PROGRESSION-free survival, *TREATMENT effectiveness, *TUMOR microenvironment
Abstract

The past decade has witnessed significant advances in the systemic treatment of advanced hepatocellular carcinoma (HCC). Nevertheless, the newly developed treatment strategies have not achieved universal success and HCC patients frequently exhibit therapeutic resistance to these therapies. Precision treatment represents a paradigm shift in cancer treatment in recent years. This approach utilizes the unique molecular characteristics of individual patient to personalize treatment modalities, aiming to maximize therapeutic efficacy while minimizing side effects. Although precision treatment has shown significant success in multiple cancer types, its application in HCC remains in its infancy. In this review, we discuss key aspects of precision treatment in HCC, including therapeutic biomarkers, molecular classifications, and the heterogeneity of the tumor microenvironment. We also propose future directions, ranging from revolutionizing current treatment methodologies to personalizing therapy through functional assays, which will accelerate the next phase of advancements in this area. Precision treatment promises to fundamentally transform the current "one-size-fits-all" approach in managing advanced hepatocellular carcinoma (HCC). Yang et al. review various strategies for achieving precision treatment in HCC and outline several future directions that could lead to more effective and personalized care for patients with HCC. [ABSTRACT FROM AUTHOR]

Published
2024
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