Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chi‐Xiong Liang"'
Autor:
Xun Cao, Hao-Yang Huang, Chi-Xiong Liang, Zhuo-Chen Lin, Jia-Yu Zhou, Xi Chen, Ying-Ying Huang, Ze-Jiang Zhan, Liang-Ru Ke, Lu-Jun Han, Wei-Xiong Xia, Lin-Quan Tang, Shan-Shan Guo, Hu Liang, Xiang Guo, Xing Lv
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Patients with residual nasopharyngeal carcinoma after receiving definitive treatment have poor prognoses. Although immune checkpoint therapies have achieved breakthroughs for treating recurrent and metastatic nasopharyngeal carcinoma, none o
Externí odkaz:
https://doaj.org/article/a9d6f656a56945d1ac78f7be69e997bc
Autor:
Lu‐Lu Zhang, Xi Chen, Ying‐Ying Huang, Chi‐Xiong Liang, Meng‐Yun Qiang, Zhuo‐Chen Cai, Ze‐Jiang Zhan, Ying Deng, Jia‐Yu Zhou, Hao‐Yang Huang, Xiang Guo, Xing Lv
Publikováno v:
Cancer Medicine, Vol 12, Iss 13, Pp 14084-14093 (2023)
Abstract Objectives This study aimed to investigate the incidence, consequences, and predictors of serious chemotherapy‐induced thrombocytopenia (CIT) in nasopharyngeal carcinoma (NPC). Materials and Methods We retrospectively reviewed the clinical
Externí odkaz:
https://doaj.org/article/963decc6980147008ec9f4b4187772e7
Autor:
Xi Chen, Ying-xue Li, Xun Cao, Meng-yun Qiang, Chi-xiong Liang, Liang-ru Ke, Zhuo-chen Cai, Ying-ying Huang, Ze-jiang Zhan, Jia-yu Zhou, Ying Deng, Lu-lu Zhang, Hao-yang Huang, Xiang Li, Jing Mei, Guo-tong Xie, Xiang Guo, Xing Lv
Publikováno v:
Lipids in Health and Disease, Vol 22, Iss 1, Pp 1-13 (2023)
Abstract Background Dysregulation of lipid metabolism is closely associated with cancer progression. The study aimed to establish a prognostic model to predict distant metastasis-free survival (DMFS) in patients with nasopharyngeal carcinoma (NPC), b
Externí odkaz:
https://doaj.org/article/ee63bbf351264abb9cff062a2210848b
Autor:
Xun Cao, Xi Chen, Zhuo-Chen Lin, Chi-Xiong Liang, Ying-Ying Huang, Zhuo-Chen Cai, Jian-Peng Li, Ming-Yong Gao, Hai-Qiang Mai, Chao-Feng Li, Xiang Guo, Xing Lyu
Publikováno v:
iScience, Vol 25, Iss 9, Pp 104841- (2022)
Summary: In nasopharyngeal carcinoma, deep-learning extracted signatures on MR images might be correlated with survival. In this study, we sought to develop an individualizing model using deep-learning MRI signatures and clinical data to predict surv
Externí odkaz:
https://doaj.org/article/f80cb82fcdbc4bd59731b5457b52768e
Autor:
Guo-Ying Liu, Wang-Zhong Li, De-Shen Wang, Hu Liang, Xing Lv, Yan-Fang Ye, Chong Zhao, Liang-Ru Ke, Shu-Hui Lv, Nian Lu, Wei-Xin Bei, Zhuo-Chen Cai, Xi Chen, Chi-Xiong Liang, Xiang Guo, Wei-Xiong Xia, Yan-Qun Xiang
Publikováno v:
JAMA Oncol
IMPORTANCE: Capecitabine maintenance therapy improves survival outcomes in various cancer types, but data are limited on the efficacy and safety of capecitabine maintenance therapy in metastatic nasopharyngeal carcinoma (NPC). OBJECTIVE: To investiga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fda4f5e58e51e9b540b2d7f02f07445
https://europepmc.org/articles/PMC8855317/
https://europepmc.org/articles/PMC8855317/