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. 2019 Aug 8;11(8):1134. doi: 10.3390/cancers11081134

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© 2019 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Summary receiver operator characteristic curve (sROC) and diagnostic odds ratio (OR), showing a moderate discriminative yield of SETDB1 mRNA expression for NSCLC. (A) Symmetrical summary receiver operator characteristic curve (sROC) based on 1140 NSCLC tissues and 952 non-cancerous tissues (25 GEO datasets). The size of the circle symbolizes the sample size of each study included in the meta-analysis. (B) Forest plot for diagnostic odds ratios in NSCLC diagnosis. The circles represent odds ratios for each dataset. The diamond represents the estimated overall effect, based on the meta-analysis random-effect method.

Summary receiver operator characteristic curve (sROC) and diagnostic odds ratio (OR), showing a moderate discriminative yield of SETDB1 mRNA expression for NSCLC. (A) Symmetrical summary receiver operator characteristic curve (sROC) based on 1140 NSCLC tissues and 952 non-cancerous tissues (25 GEO datasets). The size of the circle symbolizes the sample size of each study included in the meta-analysis. (B) Forest plot for diagnostic odds ratios in NSCLC diagnosis. The circles represent odds ratios for each dataset. The diamond represents the estimated overall effect, based on the meta-analysis random-effect method.