ABSTRACT
OBJECTIVE: To assess the added value of maternal serum levels of IL-6 in women with preterm-prelabor rupture of membranes (PPROM) as a non-invasive test for the prediction of histological chorioamnionitis (HCA). METHODS: This was a prospective cohort study of pregnant women between 20 + 0 and 36 + 6 weeks of gestation with a confirmed diagnosis of PPROM. Logistic regression models were created for the prediction of HCA and compared by assessing the improvement in their Naegelkerke R2 as a measure of goodness of fit. Predictive performance of all models was assessed by receiver operating characteristics curve (ROC) analysis and compared by the DeLong method. RESULTS: From 47 women with PPROM, 31 (66%) developed HCA. Maternal serum IL-6 ≥19.5 pg/dL was the best cut-off point for the prediction of HCA (OR = 15; 95% CI: 3.6-61; p < 0.01). A model comprising maternal characteristics and IL-6 ≥19.5 pg/dL showed an area under the curve of 0.85 (95% CI: 0.74-0.95), significantly improving the previous models of IL-6 ≥19.5 pg/dL (R2: 23.3 vs. 34.1%; p = 0.01) or maternal characteristics (R2: 8.4 vs. 34.1%; p < 0.01). CONCLUSIONS: A model comprising maternal serum levels of IL-6 plus maternal characteristics proves to be a good non-invasive predictor of HCA.
Subject(s)
Chorioamnionitis/diagnosis , Fetal Membranes, Premature Rupture/diagnosis , Interleukin-6/blood , Adult , Biomarkers/blood , Chorioamnionitis/blood , Female , Fetal Membranes, Premature Rupture/blood , Gestational Age , Humans , Infant, Newborn , Pregnancy , Prospective Studies , Young AdultABSTRACT
During the preparation of the figures in the above article, the authors inadvertently duplicated in Fig. 1B, a and b (high and low magnification images) the images that had already appeared as Figs. 5A, a and c (high and low magnification images), respectively, of the following paper: Huerta-Yepez S, Baritaki S, Baay-Guzman G, Hernandez-Luna MA, Hernandez-Cueto A, Vega MI and Bonavida B: Contribution of either YY1 or BclXL-induced inhibition by the NO-donor DETANONOate in the reversal of drug resistance, both in vitro and in vivo. Nitric Oxide 29: 17-24, 2013. The revised version of Fig. 1 containing the corrected data for Fig. 1B, a and b (high and low magnification images; the YY1 data) is shown opposite protein expression. All those authors whom the corresponding author was able to contact have agreed to this Corrigendum. The authors regret this error, and apologize for any confusion that it may have caused. [the original article was published in the Molecular Medicine Reports 10: 2279-2286, 2014; DOI: 10.3892/mmr.2014.2504 ].
ABSTRACT
Prostate carcinoma (PCa) is one of the most common cancers in men. Prostate-specific antigen (PSA) has been widely used to predict the outcome of PCa and screening with PSA has resulted in a decline in mortality. However, PSA is not an optimal prognostic tool as its sensitivity may be too low to reduce morbidity and mortality. Consequently, there is a demand for additional robust biomarkers for prostate cancer. Death receptor 5 (DR5) has been implicated in the prognosis of several cancers and it has been previously shown that it is negatively regulated by Yin Yang 1 (YY1) in prostate cancer cell lines. The present study investigated the clinical significance of DR5 expression in a prostate cancer patient cohort and its correlation with YY1 expression. Immunohistochemical analysis of protein expression distribution was performed using tissue microarray constructs from 54 primary PCa and 39 prostatic intraepithelial neoplasia (PIN) specimens. DR5 expression was dramatically reduced as a function of higher tumor grade. By contrast, YY1 expression was elevated in PCa tumors as compared with that in PIN, and was increased with higher tumor grade. DR5 had an inverse correlation with YY1 expression. Bioinformatic analyses corroborated these data. The present findings suggested that DR5 and YY1 expression levels may serve as progression biomarkers for prostate cancer.