Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Guoliang Zang"'
Autor:
Yaolin Song, Guangqi Li, Kun Ju, Wenwen Ran, Han Zhao, Xianglan Liu, Mingyu Hou, Yulu He, Yang Chen, Guoliang Zang, Xiaoming Xing
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundLung cancer is a major health concern worldwide because of its increasing incidence and mortality. This study aimed to clarify the association between mesenchymal-epithelial transition (MET) genomic alterations and clinical characteristics
Externí odkaz:
https://doaj.org/article/af28ba37ba59484ea55418057bb562a5
Autor:
Xiaojun Liu, Jidong Lang, Shijun Li, Yuehua Wang, Lihong Peng, Weitao Wang, Yingmin Han, Cuixiao Qi, Lei Song, Shuangshuang Yang, Kaixin Zhang, Guoliang Zang, Hong Pei, Qingqing Lu, Yonggang Peng, Shuxue Xi, Weiwei Wang, Dawei Yuan, Pingping Bing, Liqian Zhou, Geng Tian
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Human blood contains cell-free DNA (cfDNA), with circulating tumor-derived DNAs (ctDNAs) widely used in cancer diagnosis and treatment. However, it is still difficult to efficiently and accurately identify and distinguish specific ctDNAs from normal
Externí odkaz:
https://doaj.org/article/0c7de90d34fa416e9c07b2dafd9517f0
Autor:
Jichuan Quan, Huixin Lin, Hui Liu, Guoliang Zang, Geng Tian, Jia Liu, Jidong Lang, Zheng Jiang, Shuangmei Zou, Siwen Zhang, Weitao Wang, Bo Meng, Xishan Wang, Dawei Yuan
Publikováno v:
Current Bioinformatics. 16:53-62
Background: Microsatellite instability (MSI) is a prognostic biomarker used to guide medication selection in multiple cancers, such as colorectal cancer. Traditional PCR with capillary electrophoresis and next-generation sequencing using paired tumor
Autor:
Mingyu Hou, Kun Ju, Xianglan Liu, Yaolin Song, Yang Chen, Xiaoming Xing, Wenwen Ran, Guoliang Zang, Yulu He, Han Zhao, Guangqi Li
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Frontiers in Oncology
Frontiers in Oncology
BackgroundLung cancer is a major health concern worldwide because of its increasing incidence and mortality. This study aimed to clarify the association between mesenchymal-epithelial transition (MET) genomic alterations and clinical characteristics