10.6084/m9.figshare.7046954.v1 Richard Buus Richard Buus Belinda Yeo Belinda Yeo Adam Brentnall Adam Brentnall Marie Klintman Marie Klintman Maggie Cheang Maggie Cheang Komel Khabra Komel Khabra Ivana Sestak Ivana Sestak Qiong Gao Qiong Gao Jack Cuzick Jack Cuzick Mitch Dowsett Mitch Dowsett Additional file 2: of Novel 18-gene signature for predicting relapse in ER-positive, HER2-negative breast cancer Springer Nature 2018 Breast cancer Oestrogen receptor Prognostic tests Biomarkers Late recurrence 2018-09-04 05:00:00 Dataset https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Novel_18-gene_signature_for_predicting_relapse_in_ER-positive_HER2-negative_breast_cancer/7046954 Table S1. List of 585 candidate genes. Table S2. List and identifiers for the 747-patient microarray expression data cohort. Table S3. List of 454 Affymetrix probes studied. Table S4. List of 212 genes significantly prognostic (p < 0.01) in any of the three time periods in the microarray data. Table S5. List of 88 genes by multivariable selections in any of the three time periods in the microarray data. Nodal status was used as a covariate in the regressions. Table S6. List of 17 genes manually removed from the multivariable list. Table S7. List of 29 genes added to the candidate list. Table S8. Details of the 100-probe NanoString code set used in TransATAC. Table S9. HRs, CIs and p values for the 92 genes assessed in TransATAC in univariate analyses. (XLSX 130 kb)