Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Le-ping Liu"'
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
BackgroundMelanoma, as one of the most aggressive and malignant cancers, ranks first in the lethality rate of skin cancers. Cuproptosis has been shown to paly a role in tumorigenesis, However, the role of cuproptosis in melanoma metastasis are not cl
Externí odkaz:
https://doaj.org/article/f26d9b2df1584873ac53497a93938eb8
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Corona Virus Disease 2019 (COVID-19), an acute respiratory infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has spread rapidly worldwide, resulting in a pandemic with a high mortality rate. In clinical practi
Externí odkaz:
https://doaj.org/article/f1caab16ef4645f1b12d8df70f5068aa
Autor:
Sai Chen, Le-ping Liu, Yong-jun Wang, Xiong-hui Zhou, Hang Dong, Zi-wei Chen, Jiang Wu, Rong Gui, Qin-yu Zhao
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
BackgroundLiver transplantation surgery is often accompanied by massive blood loss and massive transfusion (MT), while MT can cause many serious complications related to high mortality. Therefore, there is an urgent need for a model that can predict
Externí odkaz:
https://doaj.org/article/2b343c66d5eb44189a6b5185a76e1936
Autor:
Le-Ping Liu, Lu Lu, Qiang-Qiang Zhao, Qin-Jie Kou, Zhen-Zhen Jiang, Rong Gui, Yan-Wei Luo, Qin-Yu Zhao
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
Lung cancer remains the leading cause of cancer death globally, with lung adenocarcinoma (LUAD) being its most prevalent subtype. Due to the heterogeneity of LUAD, patients given the same treatment regimen may have different responses and clinical ou
Externí odkaz:
https://doaj.org/article/d7fe9f7bfa4148fa9a8f0cd7b7b6e77a
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
BackgroundLung cancer remains the leading cause of cancer death globally, with lung adenocarcinoma (LUAD) being its most prevalent subtype. This study aimed to identify the key intercellular communication-associated genes (ICAGs) in LUAD.MethodsEight
Externí odkaz:
https://doaj.org/article/c295ee67fe1546ab8965b1734db0ad95
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Lung adenocarcinoma (LUAD) is a highly heterogeneous malignancy, which makes prognosis prediction of LUAD very challenging. Ferroptosis is an iron-dependent cell death mechanism that is important in the survival of tumor cells. Long non-coding RNAs (
Externí odkaz:
https://doaj.org/article/3dfc50c39b6c4923953aecf98d92ae35
Autor:
Qin-Yu Zhao, Huan Wang, Jing-Chao Luo, Ming-Hao Luo, Le-Ping Liu, Shen-Ji Yu, Kai Liu, Yi-Jie Zhang, Peng Sun, Guo-Wei Tu, Zhe Luo
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: Extubation failure (EF) can lead to an increased chance of ventilator-associated pneumonia, longer hospital stays, and a higher mortality rate. This study aimed to develop and validate an accurate machine-learning model to predict EF in i
Externí odkaz:
https://doaj.org/article/0890295f5df946a083bbc82e016af728
Autor:
Chan-Juan Zhang, Neng Zhu, Yu-Xiang Wang, Le-Ping Liu, Tan-Jun Zhao, Hong-Tao Wu, Duan-Fang Liao, Li Qin
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2021)
Clear cell renal cell carcinoma (ccRCC) is characterized by abnormal lipid accumulation. Celastrol is a pentacyclic triterpene extracted from Tripterygium wilfordii Hook F with anti-cancer activity. In the present study, the anticancer effects of cel
Externí odkaz:
https://doaj.org/article/1f1dce932944402f978ef6d875cdddc5
Autor:
Le-Ping Liu, Qin-Yu Zhao, Jiang Wu, Yan-Wei Luo, Hang Dong, Zi-Wei Chen, Rong Gui, Yong-Jun Wang
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Aim: This study aimed to use machine learning algorithms to identify critical preoperative variables and predict the red blood cell (RBC) transfusion during or after liver transplantation surgery.Study Design and Methods: A total of 1,193 patients un
Externí odkaz:
https://doaj.org/article/479f0aa8f70047b5b399b034a7969835
Autor:
Qin-Yu Zhao, Le-Ping Liu, Jing-Chao Luo, Yan-Wei Luo, Huan Wang, Yi-Jie Zhang, Rong Gui, Guo-Wei Tu, Zhe Luo
Publikováno v:
Frontiers in Medicine, Vol 7 (2021)
Background: Sepsis-induced coagulopathy (SIC) denotes an increased mortality rate and poorer prognosis in septic patients.Objectives: Our study aimed to develop and validate machine-learning models to dynamically predict the risk of SIC in critically
Externí odkaz:
https://doaj.org/article/da8b6a0233b34a1490c58ea2aa11d893