Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Baohua LU"'
Autor:
Xiaomi Li, Li Tong, Shan Wang, Jiaqi Yu, Baohua Lu, Qunhui Wang, Mingming Hu, Jinxiang Wu, Jing Yu, Baolan Li, Tongmei Zhang
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background Immune checkpoint inhibitors (ICIs) had modest advances in the treatment of extensive-stage small cell lung cancer (ES-SCLC) in clinical trials, but there is a lack of biomarkers for prognosis in clinical practice. Methods We retr
Externí odkaz:
https://doaj.org/article/f926df4306a64c43b96273e537cb4ea9
Autor:
Cong Zhao, Li Tong, Bin Liu, Fei Qi, Zhiyun Zhang, Yi Guo, Yanxia Liu, Ying Wang, Lina Zhang, Baohua Lu, Baolan Li, Tongmei Zhang
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Hepatocyte growth factor (HGF) is a peptide-containing multifunctional cytokine, which is overexpressed and/or activated in multiple malignancies and is reported to be associated with tumor development and inferior survival. At pr
Externí odkaz:
https://doaj.org/article/f270c847156348d9b5bf9ed95e9493e3
Publikováno v:
BMC Pulmonary Medicine, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Purpose To analyze the characteristics and prognostic values of Anaplastic Lymphoma Kinase (ALK) fusion gene partner, gene subtype and abundance in tumor tissues of advanced Non Small Cell Lung Cancer (NSCLC) patients with positive ALK fusio
Externí odkaz:
https://doaj.org/article/9eee7b0abe254b378813734d78e7cf46
Autor:
Ying Wang, Yanxia Liu, Zhiyun Zhang, Baohua Lu, Yuan Gao, Li Tong, Mingming Hu, Peter Ping Lin, Baolan Li, Tongmei Zhang
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Purpose This study aimed to investigate the clinical utility of diverse aneuploid circulating tumor cell (CTC) subtypes and particularly CTC-associated white blood cell (CTC-WBC) clusters in predicting treatment response, prognosis and real-
Externí odkaz:
https://doaj.org/article/b1e4cf2078b74e04bf4f05333974cccb
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundSmall cell lung cancer (SCLC) is an aggressive and almost universally lethal neoplasm. There is no accurate predictive method for its prognosis. Artificial intelligence deep learning may bring new hope.MethodsBy searching the Surveillance,
Externí odkaz:
https://doaj.org/article/30a6b852aa784d0f9374960383727331
Autor:
Yanxia LIU, Tongmei ZHANG, Yuan GAO, Yang QU, Baohua LU, Hongmei ZHANG, Qunhui WANG, Jie LI, Fanbin HU, Baolan LI
Publikováno v:
Chinese Journal of Lung Cancer, Vol 22, Iss 11, Pp 687-695 (2019)
Background and objective In recent years, a number of clinical trials have shown that immunocheckpoint inhibitors (ICI) have brought survival benefits to patients with advanced non-small cell lung cancer (NSCLC), however, such clinical trials compris
Externí odkaz:
https://doaj.org/article/cd225116f601477ca0dfaccded0fc772
Autor:
Qunhui WANG, Hua ZHENG, Fanbin HU, Hongmei ZHANG, Ying HU, Jie LI, Tongmei ZHANG, Zan LIU, Baohua LU, Aimin HU, Baolan LI
Publikováno v:
Chinese Journal of Lung Cancer, Vol 19, Iss 8, Pp 550-558 (2016)
Background and objective Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are the standard first-line treatment regimen for EGFR mutated non-small cell lung cancer (NSCLC) patients. However, the efficacy of EGFR-TKIs widely var
Externí odkaz:
https://doaj.org/article/65650ec20af641c59eac188b8a189d1c
Autor:
Mingming Hu, Xiaomi Li, Haifeng Lin, Baohua Lu, Qunhui Wang, Li Tong, Hongxia Li, Nanying Che, Shaojun Hung, Yi Han, Kang Shi, Chenghai Li, Hongmei Zhang, Zhidong Liu, Tongmei Zhang
Publikováno v:
International Journal of Surgery; Apr2024, Vol. 110 Issue 4, p2275-2287, 13p
Publikováno v:
Bosnian journal of basic medical sciences. 22(6)
Ovarian tumor protease deubiquitinase 5 (OTUD5) has been discussed as a regulator of cancer development. Herein, the current study set out to explore the molecular mechanism of OTUD5 in non‐small cell lung cancer (NSCLC) cell proliferation, invasio
Autor:
Ying Wang, Lina Zhang, Zhiyun Zhang, Yanxia Liu, Xingsheng Hu, Baohua Lu, Yuan Gao, Li Tong, Zan Liu, Hongxia Zhang, Peter Ping Lin, Baolan Li, Olivier Gires, Tongmei Zhang
Publikováno v:
SSRN Electronic Journal.