Open AccessPrognostic model based on circular RNA circPDK1 for resected lung squamous cell carcinoma
Author(s) -
Xiao Sun,
Maolong Wang,
Rongjian Xu,
Dongyang Zhang,
Ao Liu,
Yuanyong Wang,
Tong Lu,
Yanlu Xin,
Yandong Zhao,
Yunpeng Xuan,
Tong Qiu,
Hao Wang,
Shicheng Li,
Yang Wo,
Dahai Liu,
Jingwen Zhao,
Bo Fu,
Yaliang Lan,
Yudong Han,
Wenjie Jiao
Publication year - 2019
Publication title -
translational lung cancer research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 41
eISSN - 2226-4477
pISSN - 2218-6751
DOI - 10.21037/tlcr.2019.11.20
Subject(s) - medicine , nomogram , oncology , cohort , concordance , univariate analysis , biomarker , lymph , lung cancer , multivariate analysis , pathology , biology , biochemistry
Circular RNA has been revealed as a potential biomarker in multiple malignancies. However, few studies have focused on its potential to be prognostic markers in lung squamous cell carcinoma (LSCC). In this work, we aimed to build a prognostic model of resected LSCC based on circular RNA pyruvate dehydrogenase kinase 1 (circPDK1) and other clinicopathological factors.