Zobrazeno 1 - 10
of 344
pro vyhledávání: '"Hong Qiang Wang"'
Autor:
Xinping Xie, Dandan Li, Yangyang Pei, Weiwei Zhu, Xiaodong Du, Xiaodong Jiang, Lei Zhang, Hong-Qiang Wang
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27300- (2024)
Anti-tumor drug efficacy prediction poses an unprecedented challenge to realizing personalized medicine. This paper proposes to predict personalized anti-tumor drug efficacy based on clinical data. Specifically, we encode the clinical text as numeric
Externí odkaz:
https://doaj.org/article/9a4dadc5bd1b48e7a5753217638fff70
Autor:
Qingmei Deng, Xinhui Zhang, Xiaofeng Wan, Xin Zheng, Hongzhi Wang, Jingyu Zhao, Hong-Qiang Wang, Wulin Yang
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26774- (2024)
The chemokine 20 (CCL20) is a member of the CC chemokine family and plays a role in tumor immunity and autoimmune disease. This work investigated the value of CCL20 as a serum diagnostic marker for primary hepatocellular carcinoma (HCC). Based on the
Externí odkaz:
https://doaj.org/article/a876230b61ee49779c837ee05b47dbdc
Autor:
Jingyu Zhao, Yu Liu, Qianwen Cui, Rongli He, Jia-Rong Zhao, Li Lu, Hong-Qiang Wang, Haiming Dai, Hongzhi Wang, Wulin Yang
Publikováno v:
Biochemistry and Biophysics Reports, Vol 34, Iss , Pp 101440- (2023)
Background: The study of tumor metabolism is of great value to elucidate the mechanism of tumorigenesis and predict the prognosis of patients. However, the prognostic role of metabolism-related genes (MRGs) in gastric adenocarcinoma (GAD) remains poo
Externí odkaz:
https://doaj.org/article/0e3a602b06ad4d5a8e76c073c1070da4
Publikováno v:
Guoji Yanke Zazhi, Vol 21, Iss 12, Pp 2150-2155 (2021)
AIM: To study the clinical effects and safety of iontophoresis of xueshuantong injection combined with anti-vascular endothelial growth factor(VEGF)in the treatment of retinal vein occlusion(RVO)with macular edema(ME). METHODS: Totally 106 patients(1
Externí odkaz:
https://doaj.org/article/836d11944e054598b3542f3c05266db0
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-14 (2020)
Abstract Background Genes are regulated by various types of regulators and most of them are still unknown or unobserved. Current gene regulatory networks (GRNs) reverse engineering methods often neglect the unknown regulators and infer regulatory rel
Externí odkaz:
https://doaj.org/article/1649b03eff234b92903f25c1a6a225a7
Autor:
Xiaowei Zhang, Ran Duan, Yusheng Wang, Xin Liu, Wen Zhang, Xiaodong Zhu, Zhiyu Chen, Wei Shen, Yifu He, Hong Qiang Wang, Mingzhu Huang, Chenchen Wang, Zhe Zhang, Xiaoying Zhao, Lixin Qiu, Jianfeng Luo, Xuedan Sheng, Weijian Guo
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 14 (2022)
Background: FOLFIRI [irinotecan, folinic acid (CF), and fluorouracil] is considered a standard second-line chemotherapy regimen for patients with metastatic colorectal cancer (mCRC) who failed first-line XELOX/FOLFOX regimens. However, it remains unk
Externí odkaz:
https://doaj.org/article/89c53d522d724365b5fbdd3c2168264a
Autor:
Changfang Fu, Yu Liu, Xinghua Han, Yueyin Pan, Hong-qiang Wang, Hongzhi Wang, Haiming Dai, Wulin Yang
Publikováno v:
Frontiers in Immunology, Vol 12 (2021)
Breast cancer is now the leading cause of cancer morbidity and mortality among women worldwide. Paclitaxel and anthracycline-based neoadjuvant chemotherapy is widely used for the treatment of breast cancer, but its sensitivity remains difficult to pr
Externí odkaz:
https://doaj.org/article/60967ab3bde74be893afdf9d95bff0fe
Autor:
Haoran Yang, Peng Jiang, Dongyan Liu, Hong-Qiang Wang, Qingmei Deng, Xiaojie Niu, Li Lu, Haiming Dai, Hongzhi Wang, Wulin Yang
Publikováno v:
Molecular Therapy: Oncolytics, Vol 14, Iss , Pp 82-93 (2019)
Lung cancer is one of the leading causes of cancer-associated death, with the etiology largely unknown. The aim of this study was to identify key driver genes with therapeutic potentials in lung adenocarcinoma (LUAD). Transcriptome microarray data fr
Externí odkaz:
https://doaj.org/article/592bd7b596e545f9b420d2d224a89d04
Autor:
Xinhui Zhang, Qingmei Deng, Xiaofeng Wan, Jingyu Zhao, Xin Zheng, Hongzhi Wang, Hong-Qiang Wang, Wulin Yang
Publikováno v:
Aging. 15:2115-2135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3855375fc4be6452c3c02ea627eb758
https://doi.org/10.18632/aging.204599
https://doi.org/10.18632/aging.204599
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)
Abstract Background Identifying cancer biomarkers from transcriptomics data is of importance to cancer research. However, transcriptomics data are often complex and heterogeneous, which complicates the identification of cancer biomarkers in practice.
Externí odkaz:
https://doaj.org/article/ce6025eb750a45349a2d00e63a4aaea6