Hui Luo

Dr. Hui Luo

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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13 January 2020 in Cancer Cell International
Verified
Journal Article
Open access
PDF file
KLKai Li
Kai Li
HLHaiqing Luo
Haiqing Luo
LHLianfang Huang
Lianfang Huang
HLHui Luo
Hui Luo
XZXiao Zhu
Xiao Zhu
The patients with high microsatellite instability (MSI-H)/mismatch repair deficient (dMMR) tumors recently have been reported that can benefit from immunotherapy, and MSI can be used as a genetic instability of a tumor detection index. However, many studies have shown that there are many heterogeneous phenomena in patients with MSI tumors in terms of immunotherapy, prognosis and chemotherapy sensitivity. Here we mainly review the research results of MSI detection methods, the mechanisms of MSI occurrence and its relationship with related tumors, aiming to make a brief analysis of the current research status of MSI and provide comparable reference and guidance value for further research in this field.

26 June 2019 in Cell & Bioscience
Verified
Journal Article
Open access
PDF file
XTXiaoning Tang
Xiaoning Tang
YHYongmei Huang
Yongmei Huang
JLJinli Lei
Jinli Lei
HLHui Luo
Hui Luo
XZXiao Zhu
Xiao Zhu
Single-cell sequencing technologies can be used to detect the genome, transcriptome and other multi-omics of single cells. They can show the differences and evolutionary relationships of various cells. This review introduces the latest advances in single-cell sequencing technologies and their applications in oncology, microbiology, neurology, reproduction, immunology, digestive and urinary systems, highlighting the important role that single-cell sequencing techniques play in these areas.

21 August 2022 in Marine Drugs
Verified
Journal Article
Open access
PDF file
QCQizhou Chen
Qizhou Chen
YQYi Qi
Yi Qi
YJYuwei Jiang
Yuwei Jiang
WQWei Quan
Wei Quan
HLHui Luo
Hui Luo
QOQianqian Ouyang
Qianqian Ouyang
Chitosan, which is derived from chitin, is the only known natural alkaline cationic polymer. Chitosan is a biological material that can significantly improve the living standard of the country. It has excellent properties such as good biodegradability, biocompatibility, and cell affinity, and has excellent biological activities such as antibacterial, antioxidant, and hemostasis. In recent years, the demand has increased significantly in many fields and has huge application potential. Due to the poor water solubility of chitosan, its wide application is limited. However, chemical modification of the chitosan matrix structure can improve its solubility and biological activity, thereby expanding its application range. The review covers the period from 1996 to 2022 and was elaborated by searching Google Scholar, PubMed, Elsevier, ACS publications, MDPI, Web of Science, Springer, and other databases. The various chemical modification methods of chitosan and its main activities and application research progress were reviewed. In general, the modification of chitosan and the application of its derivatives have had great progress, such as various reactions, optimization of conditions, new synthetic routes, and synthesis of various novel multifunctional chitosan derivatives. The chemical properties of modified chitosan are usually better than those of unmodified chitosan, so chitosan derivatives have been widely used and have more promising prospects. This paper aims to explore the latest progress in chitosan chemical modification technologies and analyze the application of chitosan and its derivatives in various fields, including pharmaceuticals and textiles, thus providing a basis for further development and utilization of chitosan.

1 August 2020 in Biomedicine & Pharmacotherapy
Verified
Journal Article
Open access
GLGuosheng Liang
Guosheng Liang
WFWenguo Fan
Wenguo Fan
HLHui Luo
Hui Luo
XZXiao Zhu
Xiao Zhu
Artificial intelligence (AI) has strong logical reasoning ability and independent learning ability, which can simulate the thinking process of the human brain. AI technologies such as machine learning can profoundly optimize the existing mode of anticancer drug research. But at present AI also has its relative limitation. In this paper, the development of artificial intelligence technology such as deep learning and machine learning in anticancer drug research is reviewed. At the same time, we look forward to the future of AI.

1 January 2021 in Biomedicine & Pharmacotherapy
Verified
Journal Article
Open access
ZYZhencong Ye
Zhencong Ye
YHYongmei Huang
Yongmei Huang
JKJianhao Ke
Jianhao Ke
XZXiao Zhu
Xiao Zhu
SLshuilong leng
shuilong leng
HLHui Luo
Hui Luo
Non-small cell lung cancer (NSCLC) remains by far the single most common malignancy of lung cancer which causes more and more mortality in recent years. NSCLC accounts for more than 80 % of lung cancers, and the vast majority of patients were found to be in advanced inoperable stages. Chemotherapy used to be the main treatment for NSCLC, but due to its obvious side effects. Chemotherapy gradually withdrew from the stage of history. In recent years, cellular and molecular biotechnology has developed rapidly, and researchers have begun to target key genes and regulatory molecules for treatment. Targeted drugs have also emerged. The purpose of this review is to introduce important research achievements in recent years and the treatment progress of new drugs.

1 June 2021 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
OQOuyang Qianqian
Ouyang Qianqian
SKSong-Zhi Kong
Song-Zhi Kong
HYHuang Yongmei
Huang Yongmei
JXJu Xianghong
Ju Xianghong
LSLi Sidong
Li Sidong
HLHui Luo
Hui Luo