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E positively associated with tumor grade and ESR1, PGR, and ESR2 steroid hormone receptor expression level and negatively associated with invasive epithelial tumor cell content and tumor size. In addition, ESR2 was more highly expressed in tumors with a higher percentage of stromal cells (786 tumors with 30 to 70 invasive epithelial cells), and ESR1 wasSieuwerts et al. Breast Cancer Research 201
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Me PCR conditions for these SYBR-based assays were as described previously [16,17]. Forty rounds of amplification were performed, and fluorescent signals of the Taqman probe or SYBR green signal were used to generate cycle threshold (Ct) values from which mRNA expression levels were calculated. Ct values of HPRT1 and B2M were adjusted to the higher HMBS Ct values. Next, the expression levels of DC
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IcsResultsAssociations of DC-SCRIPT with clinicopathological factors and histological and intrinsic breast cancer subtypesThe relationship between DC-SCRIPT and patient and tumor characteristics was investigated with the use of non-parametric methods (Spearman rank correlations for continuous variables and Wilcoxon rank-sum for dichotomized or Kruskal-Wallis test for ordered variables). To reduce
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IcsResultsAssociations of DC-SCRIPT with clinicopathological factors and histological and intrinsic breast cancer subtypesThe relationship between DC-SCRIPT and patient and tumor characteristics was investigated with the use of non-parametric methods (Spearman rank correlations for continuous variables and Wilcoxon rank-sum for dichotomized or Kruskal-Wallis test for ordered variables). To reduce
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Ltivariable analyses, increasing levels of DC-SCRIPT were associated with good prognosis only for pT1 (small tumor without lymphatic/vascular invasion) tumors and not for larger tumors. These and additional exploratory Cox univariate analyses are summarized in Table 3. The prognostic value of DC-SCRIPT is visualized in KaplanMeier curves (Figure 1) as a dichotomized variable in these biologically
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Ariable in subgroups of tumors stratified by steroid hormone receptor status and tumor size (Table 3 and Figure 1). Subdividing the 837 primary LNN tumors into ESR1-positive and -negative [14] showed that increasing levels of DCSCRIPT were, in univariate and multivariable analyses, associated with good prognosis only for the patients with ESR1-positive tumors. Subdividing these LNN tumors at the m
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Ariable in subgroups of tumors stratified by steroid hormone receptor status and tumor size (Table 3 and Figure 1). Subdividing the 837 primary LNN tumors into ESR1-positive and -negative [14] showed that increasing levels of DCSCRIPT were, in univariate and multivariable analyses, associated with good prognosis only for the patients with ESR1-positive tumors. Subdividing these LNN tumors at the m
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IcsResultsAssociations of DC-SCRIPT with clinicopathological factors and histological and intrinsic breast cancer subtypesThe relationship between DC-SCRIPT and patient and tumor characteristics was investigated with the use of non-parametric methods (Spearman rank correlations for continuous variables and Wilcoxon rank-sum for dichotomized or Kruskal-Wallis test for ordered variables). To reduce