Target of obstructive sleep apnea syndrome merge lung cancer: based on big data platform
Metrics: PDF 1882 views | HTML 2076 views | ?
Lifeng Li1,2,3,*, Jingli Lu3,*, Wenhua Xue3,*, Liping Wang2, Yunkai Zhai4,5, Zhirui Fan2, Ge Wu4,5, Feifei Fan1,2,6, Jieyao Li1,2, Chaoqi Zhang1,2, Yi Zhang1,2, Jie Zhao3,4,5
1Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China
2Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China
3Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China
4Engineering Research Center of Digital Medicine, Zhengzhou 450052, Henan, China
5Engineering Laboratory for Digital Telemedicine Service, Zhengzhou 450052, Henan, China
6Department of Respiratoty and Sleep Disease, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan, China
*These authors have contributed equally to this work
Jie Zhao, email: [email protected]
Yi Zhang, email: [email protected]
Keywords: obstructive sleep apnea syndrome, lung cancer, big data platform
Received: October 20, 2016 Accepted: January 16, 2017 Published: February 16, 2017
Based on our hospital database, the incidence of lung cancer diagnoses was similar in obstructive sleep apnea Syndrome (OSAS) and hospital general population; among individual with a diagnosis of lung cancer, the presence of OSAS was associated with an increased risk for mortality. In the gene expression and network-level information, we revealed significant alterations of molecules related to HIF1 and metabolic pathways in the hypoxic-conditioned lung cancer cells. We also observed that GBE1 and HK2 are downstream of HIF1 pathway important in hypoxia-conditioned lung cancer cell. Furthermore, we used publicly available datasets to validate that the late-stage lung adenocarcinoma patients showed higher expression HK2 and GBE1 than early-stage ones. In terms of prognostic features, a survival analysis revealed that the high GBE1 and HK2 expression group exhibited poorer survival in lung adenocarcinoma patients. By analyzing and integrating multiple datasets, we identify molecular convergence between hypoxia and lung cancer that reflects their clinical profiles and reveals molecular pathways involved in hypoxic-induced lung cancer progression. In conclusion, we show that OSAS severity appears to increase the risk of lung cancer mortality.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.