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Anklesister5

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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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Urse of the disease without the confounding effect of systemic adjuvant therapy), we restricted our next analyses of MFS to those 837 LNN disease patients who had not received (neo)adjuvant systemic therapy. The significant relationships of DC-SCRIPT as a continuous variable in these univariate analyses justified the use of the previously identified cut point that dichotomized the cohort in 33.3
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Receptors also modulate response to therapy [8,9], we also assessed, as a secondary aim of this study, the predictive value of DC-SCRIPT by using clinical benefit and progression-free survival (PFS) after first-line tamoxifen for advanced disease as the main endpoints.Materials and methodsPatientsdetermined by real-time reverse transcriptase-polymerase chain reaction (RT-PCR) [14,16,17]. Follow-up
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Noma in situ; DC-SCRIPT, dendritic cell-specific transcript gene; ERBB2+, HER2neu-positive; ESR, estrogen receptor gene; IDC, infiltrating ductal carcinoma; ILC, infiltrating lobular carcinoma; PGR, progesterone receptor gene; pT1, small tumor without lymphatic/vascular invasion.(Spearman's rho = 0.87; P
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Noma in situ; DC-SCRIPT, dendritic cell-specific transcript gene; ERBB2+, HER2neu-positive; ESR, estrogen receptor gene; IDC, infiltrating ductal carcinoma; ILC, infiltrating lobular carcinoma; PGR, progesterone receptor gene; pT1, small tumor without lymphatic/vascular invasion.(Spearman's rho = 0.87; P
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Ith DFS, MFS, OS, and PFS, respectively. In multivariable analysis, Cox proportional hazards models for DFS, MFS, OS, and PFS were applied to test DCSCRIPT levels added to models with traditional factors. The proportional hazards assumptions were checked with Schoenfeld residuals. The analyses were stratified if necessary. The models for DFS, MFS, and OS for LNN patients who had not received adjuv
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Ith DFS, MFS, OS, and PFS, respectively. In multivariable analysis, Cox proportional hazards models for DFS, MFS, OS, and PFS were applied to test DCSCRIPT levels added to models with traditional factors. The proportional hazards assumptions were checked with Schoenfeld residuals. The analyses were stratified if necessary. The models for DFS, MFS, and OS for LNN patients who had not received adjuv
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Receptors also modulate response to therapy [8,9], we also assessed, as a secondary aim of this study, the predictive value of DC-SCRIPT by using clinical benefit and progression-free survival (PFS) after first-line tamoxifen for advanced disease as the main endpoints.Materials and methodsPatientsdetermined by real-time reverse transcriptase-polymerase chain reaction (RT-PCR) [14,16,17]. Follow-up