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. 2014 Dec 29;12:397. doi: 10.1186/1477-7819-12-397

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© Sun and Zhang; licensee BioMed Central. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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ROC curves for pretreatment levels of tumor markers to predict the disease progression after neoadjuvant chemotherapy. A. The area under the ROC curve of CEA pretreatment levels was 0.694 (95% CI: 0.517 to 0.871, P = 0.017); the cutoff that maximized both sensitivity (57.1%) and specificity (85.4%) of this test was 50 ng/ml. The correlation coefficient between CEA pretreatment levels and pathologic response was 0.199, and the P value was 0.017. B.C.D show the pretreatment levels of CA72-4, CA199, and CA125 were not statistically significant (P values were 0.381, 0.719, and 0.967 respectively).