@article{TLCR34407,
author = {Xiao Sun and Maolong Wang and Rongjian Xu and Dongyang Zhang and Ao Liu and Yuanyong Wang and Tong Lu and Yanlu Xin and Yandong Zhao and Yunpeng Xuan and Tong Qiu and Hao Wang and Shicheng Li and Yang Wo and Dahai Liu and Jinpeng Zhao and Bo Fu and Yaliang Lan and Yudong Han and Wenjie Jiao},
title = {Prognostic model based on circular RNA circPDK1 for resected lung squamous cell carcinoma},
journal = {Translational Lung Cancer Research},
volume = {8},
number = {6},
year = {2019},
keywords = {},
abstract = {Background: 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.
Methods: circPDK1 was identified via next-generation sequencing. Three hundred two cases of LSCC tissue and their adjacent normal lung tissues were obtained from multiple medical centers and divided into study cohort (n=232) and validation cohort (n=70). The expression of circPDK1 was detected for analyzing its potential prognostic value for recurrence-free survival (RFS) and overall survival (OS) in LSCC. Finally, combined with circPDK1, T staging, lymph nodes (LN) metastasis status, age, and serum Squamous Cell Carcinoma Antigen (SCCAg), we built a prognostic model by nomograms method and confirmed it in the validation cohort.
Results: CircPDK1 was identified to be overexpressed (P},
issn = {2226-4477}, url = {https://tlcr.amegroups.org/article/view/34407}
}