Title |
Biomarkers: paving stones on the road towards the personalized precision medicine for oral squamous cell carcinoma
|
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Published in |
BMC Cancer, September 2018
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DOI | 10.1186/s12885-018-4806-7 |
Pubmed ID | |
Authors |
Liang Zhong, Yutong Liu, Kai Wang, Zhijing He, Zhaojian Gong, Zhili Zhao, Yaocheng Yang, Xiaofei Gao, Fangjie Li, Hanjiang Wu, Sheng Zhang, Lin Chen |
Abstract |
Traditional therapeutics have encountered a bottleneck caused by diagnosis delay and subjective and unreliable assessment. Biomarkers can overcome this bottleneck and guide us toward personalized precision medicine for oral squamous cell carcinoma. To achieve this, it is important to efficiently and accurately screen out specific biomarkers from among the huge number of molecules. Progress in omics-based high-throughput technology has laid a solid foundation for biomarker discovery. With credible and systemic biomarker models, more precise and personalized diagnosis and assessment would be achieved and patients would be more likely to be cured and have a higher quality of life. However, this is not straightforward owing to the complexity of molecules involved in tumorigenesis. In this context, there is a need to focus on tumor heterogeneity and homogeneity, which are discussed in detail. In this review, we aim to provide an understanding of biomarker discovery and application for precision medicine of oral squamous cell carcinoma, and have a strong belief that biomarker will pave the road toward future precision medicine. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 91 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 18 | 20% |
Student > Ph. D. Student | 8 | 9% |
Student > Master | 8 | 9% |
Student > Doctoral Student | 5 | 5% |
Student > Postgraduate | 4 | 4% |
Other | 8 | 9% |
Unknown | 40 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 21% |
Biochemistry, Genetics and Molecular Biology | 19 | 21% |
Nursing and Health Professions | 4 | 4% |
Agricultural and Biological Sciences | 2 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Other | 6 | 7% |
Unknown | 39 | 43% |