Title |
Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma
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Published in |
Clinical Epigenetics, April 2018
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DOI | 10.1186/s13148-018-0470-7 |
Pubmed ID | |
Authors |
Yu Cao, Katherine Green, Steve Quattlebaum, Ben Milam, Ling Lu, Dexiang Gao, Hui He, Ningning Li, Liwei Gao, Francis Hall, Matthew Whinery, Elyse Handley, Yi Ma, Tao Xu, Feng Jin, Jing Xiao, Minjie Wei, Derek Smith, Sophia Bornstein, Neil Gross, Dohun Pyeon, John Song, Shi-Long Lu |
Abstract |
To identify aberrant promoter methylation of genomic loci encoding microRNA (mgmiR) in head and neck squamous cell carcinoma (HNSCC) and to evaluate a biomarker panel of mgmiRs to improve the diagnostic accuracy of HNSCC in tissues and saliva. Methylation of promoter regions of mgmiR candidates was initially screened using HNSCC and control cell lines and further selected using HNSCC and control tissues by quantitative methylation-specific PCR (qMS-PCR). We then examined a panel of seven mgmiRs for validation in an expanded cohort including 189 HNSCC and 92 non-HNSCC controls. Saliva from 86 pre-treatment HNSCC patients and 108 non-HNSCC controls was also examined using this panel of seven mgmiRs to assess the potentials of clinical utilization. Among the 315 screened mgmiRs, 12 mgmiRs were significantly increased in HNSCC cell lines compared to control cell lines. Seven out of the 12 mgmiRs, i.e., mgmiR9-1, mgmiR124-1, mgmiR124-2, mgmiR124-3, mgmiR129-2, mgmiR137, and mgmiR148a, were further found to significantly increase in HNSCC tumor tissues compared to control tissues. Using multivariable logistic regression with dichotomized variables, a combination of the seven mgmiRs had sensitivity and specificity of 92.6 and 92.4% in tissues and 76.7 and 86.1% in saliva, respectively. Area under the receiver operating curve for this panel was 0.97 in tissue and 0.93 in saliva. This model was validated by independent bootstrap validation and random forest analysis. mgmiR biomarkers represent a novel and promising screening tool, and the seven-mgmiR panel is able to robustly detect HNSCC in both patient tissue and saliva. |
X Demographics
Geographical breakdown
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 53 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 9 | 17% |
Researcher | 6 | 11% |
Student > Doctoral Student | 5 | 9% |
Student > Postgraduate | 3 | 6% |
Lecturer > Senior Lecturer | 2 | 4% |
Other | 8 | 15% |
Unknown | 20 | 38% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 13 | 25% |
Biochemistry, Genetics and Molecular Biology | 7 | 13% |
Nursing and Health Professions | 3 | 6% |
Agricultural and Biological Sciences | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 6 | 11% |
Unknown | 19 | 36% |