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GSA-Tumor analysis of CCNB1 using the 1881-sample breast cancer data set.

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posted on 2011-03-21, 02:43 authored by Markus Ringnér, Erik Fredlund, Jari Häkkinen, Åke Borg, Johan Staaf

(A) Box plot of CCNB1 gene expression for tumor samples stratified according to PAM50 subtypes [24]. (B) Box plot of CCNB1 gene expression for tumor samples stratified according to histological grade. (C) Association with outcome for CCNB1 gene expression levels in subgroups of breast cancer using DMFS as endpoint and 10-year censoring. Samples in the 1881-sample set were stratified into three quantiles based on CCNB1 expression, CCNB1_low (log2 expression −2.9 to −0.497), CCNB1_medium (−0.48 to 0.416), and CCNB1_high (0.42 to 2.8) followed by Kaplan-Meier survival analysis in 21 subgroups for 1379 cases with DMFS follow-up. Logrank P-values are shown as −log10(P-value). (D) Kaplan-Meier analysis, using DMFS as endpoint, for ER-positive tumors (n = 856) stratified into the three quantiles based on CCNB1 gene expression level. (E) Corresponding multivariate analysis for ER-positive tumors (n = 554) using lymph node status and stratified histological grade (histological grade 1 and 2 vs. 3) as covariates and DMFS as endpoint with 10-year censoring.

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