Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Lifeng Jia"'
Autor:
Xiaolu Wu, Congwen Yang, Zhongwan Li, Ping Lv, Xiang An, Xiaohe Peng, You Li, Xiaojun Jiang, Xuemei Mao, Donghong Chen, Lifeng Jia, Wei Yuan
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32522- (2024)
Objectives: Dihydroartemisinin (DHA), an artemisinin derivative extracted from the traditional Chinese medicinal herb Artemisia annua, has the potential to suppress head and neck squamous cell carcinoma (HNSCC) progression. However, the mechanisms un
Externí odkaz:
https://doaj.org/article/eca87e57994d4971b489217c8957c516
Publikováno v:
Biosensors, Vol 14, Iss 5, p 240 (2024)
Cashmere and wool are both natural animal fibers used in the textile industry, but cashmere is of superior quality, is rarer, and more precious. It is therefore important to distinguish the two fibers accurately and effectively. However, challenges d
Externí odkaz:
https://doaj.org/article/dac323e0ba9f4fad9b4978085b529e82
Publikováno v:
World Journal of Surgical Oncology, Vol 20, Iss 1, Pp 1-11 (2022)
Abstract Objective Laryngeal cancer is a common malignancy in otorhinolaryngological head and neck surgery, accounting for approximately one-third of all head and neck malignancies. Terahertz time-domain spectroscopy (THz-TDS) has recently been found
Externí odkaz:
https://doaj.org/article/79a3fd72eafb406789448deccf1171d1
Publikováno v:
Journal of Bio-X Research, Vol 2, Iss 3, Pp 132-139 (2019)
Abstract. Inner ear hair cells are important for maintaining hearing. Irreversible damage to hair cells is an important cause of sensorineural deafness. Electromagnetic radiation, especially high-power microwave, is an important threat to human healt
Externí odkaz:
https://doaj.org/article/eb51b187b113418ab00cde83bb985f36
Publikováno v:
Technology in Cancer Research & Treatment, Vol 19 (2020)
Background/Aim: Lymph node density is a parameter used to more accurately predict tumor recurrence and patient survival. However, its association with surgical outcome in pyriform sinus carcinoma remains unclear. The purpose of this study was to asse
Externí odkaz:
https://doaj.org/article/8072d1724dae4ba0b17bc2769bc41bca
Publikováno v:
Frontiers in Molecular Neuroscience, Vol 12 (2020)
Tonotopic differences in the structure and physiological function, e.g., synapse number, membrane properties, Ca2+ channels, Ca2+ dependence of exocytosis and vesicle pool replenishment of inner hair cells (IHCs) along the longitudinal cochlear axis
Externí odkaz:
https://doaj.org/article/894428fcc55b43e0af008bb296827334
Publikováno v:
Journal of Cancer Research and Clinical Oncology. 149:203-218
Cuproptosis is a novel form of cell death that is highly related to mitochondrial metabolism and mediated by protein lipoacetylation. This study systematically assessed the differential expression and genetic alterations of cuproptosis-related genes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b58929cffe4c5f18eb73b19ae1b2637c
https://doi.org/10.1007/s00432-022-04471-7
https://doi.org/10.1007/s00432-022-04471-7
Autor:
XIAOJUN JIANG1, LIFENG JIA2, XUEYUAN ZHANG2, CHENG ZHONG2, FENG TANG2, XIAOLING CHEN2, WEI YUAN2 weiyuan175@sina.com
Publikováno v:
Oncology Letters. Nov2020, Vol. 20 Issue 5, p1-8. 8p.
Autor:
Lifeng Jia, Qi Song, Chenyang Zhou, Xiaoming Li, Lihong Pi, Xiuru Ma, Hui Li, Xiuying Lu, Yupeng Shen
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0147157 (2016)
Developing drugs that can effectively block STAT3 activation may serve as one of the most promising strategy for cancer treatment. Currently, there is no putative STAT3 inhibitor that can be safely and effectively used in clinic. In the present study
Externí odkaz:
https://doaj.org/article/fb61d12e3d4a41688cc90b0969a5f3de
Autor:
Menglong Feng, Juhong Zhang, Xiaoqing Zhou, Hailan Mo, Lifeng Jia, Chanyuan Zhang, Yaqin Hu, Wei Yuan
Publikováno v:
Journal of Oncology.
Objectives. A more accurate preoperative prediction of lymph node metastasis (LNM) plays a decisive role in the selection of treatment in patients with laryngeal carcinoma (LC). This study aimed to develop a machine learning (ML) prediction model for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be7175262fefbe7a20cf9e4ea3b98d65