Document Type

Journal Article

Publisher

MDPI

School

School of Medical and Health Sciences

RAS ID

25082

Funders

National Natural Science Foundation of China (81370083, 81673247)

the National Natural Sciences Foundation of China (NSFC)-Australian National Health and Medical Research Council (NHMRC) Joint Research Project

Beijing Nova Program (Z141107001814058)

Grant Number

NHMRC Number : 1112767

Comments

Liu, D., Peng, H., Sun, Q., Zhao, Z., Yu, X., Ge, S., ... & Wu, L. (2017). The indirect efficacy comparison of DNA methylation in sputum for early screening and auxiliary detection of lung cancer: A meta-analysis. International journal of environmental research and public health, 14(7), 679.

https://doi.org/10.3390/ijerph14070679

Abstract

Background

DNA methylation in sputum has been an attractive candidate biomarker for the non-invasive screening and detection of lung cancer.

Materials and Methods

Databases including PubMed, Ovid, Cochrane library, Web of Science databases, Chinese Biological Medicine (CBM), Chinese National Knowledge Infrastructure (CNKI), Wanfang, Vip Databases and Google Scholar were searched to collect the diagnostic trials on aberrant DNA methylation in the screening and detection of lung cancer published until 1 December 2016. Indirect comparison meta-analysis was used to evaluate the diagnostic value of the included candidate genes.

Results

The systematic literature search yielded a total of 33 studies including a total of 4801 subjects (2238 patients with lung cancer and 2563 controls) and covering 32 genes. We identified that methylated genes in sputum samples for the early screening and auxiliary detection of lung cancer yielded an overall sensitivity of 0.46 (0.41–0.50) and specificity of 0.83 (0.80–0.86). Combined indirect comparisons identified the superior gene of SOX17 (sensitivity: 0.84, specificity: 0.88), CDO1 (sensitivity: 0.78, specificity: 0.67), ZFP42 (sensitivity: 0.87, specificity: 0.63) and TAC1 (sensitivity: 0.86, specificity: 0.75).

Conclusions

The present meta-analysis demonstrates that methylated SOX17, CDO1, ZFP42, TAC1, FAM19A4, FHIT, MGMT, p16, and RASSF1A are potential superior biomarkers for the screening and auxiliary detection of lung cancer.

DOI

10.3390/ijerph14070679

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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