Abstract
Lung cancer is a global public health concern with the highest morbidity and mortality among all cancers. Biomarkers can be used for early lung cancer detection, prognostication and optimal treatment. Research on biomarkers will enable more effective therapy for each individual patient. Great progress has been made in biomarker discovery with more understanding involved in lung cancer. Lung cancer biomarkers can be classified into Proteins, DNAs, Epigenomics, and RNAs according to their biochemical properties. Here, we will discuss the most common biomarkers for lung cancer.
Keywords: Biomarker, diagnosis, lung cancer, prognosis.
Current Signal Transduction Therapy
Title:Current Biomarkers for Lung Cancer
Volume: 9 Issue: 3
Author(s): Kaifei Wang, Zhaohui Huang, Ruilin Wang, Jin Qian, Zhenhua Zuo, Yaping Li, Xiaoyan Yao and Xizhou Guan
Affiliation:
Keywords: Biomarker, diagnosis, lung cancer, prognosis.
Abstract: Lung cancer is a global public health concern with the highest morbidity and mortality among all cancers. Biomarkers can be used for early lung cancer detection, prognostication and optimal treatment. Research on biomarkers will enable more effective therapy for each individual patient. Great progress has been made in biomarker discovery with more understanding involved in lung cancer. Lung cancer biomarkers can be classified into Proteins, DNAs, Epigenomics, and RNAs according to their biochemical properties. Here, we will discuss the most common biomarkers for lung cancer.
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Cite this article as:
Wang Kaifei, Huang Zhaohui, Wang Ruilin, Qian Jin, Zuo Zhenhua, Li Yaping, Yao Xiaoyan and Guan Xizhou, Current Biomarkers for Lung Cancer, Current Signal Transduction Therapy 2014; 9 (3) . https://dx.doi.org/10.2174/1574362409666140911225531
DOI https://dx.doi.org/10.2174/1574362409666140911225531 |
Print ISSN 1574-3624 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-389X |
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