Additional file 1: of Unbiased data mining identifies cell cycle transcripts that predict non-indolent Gleason score 7 prostate cancer

An excel file containing 8 spreadsheets: Table S1. (transcripts identified in Step 1 using CRN), Table S2. (transcripts identified in Step 2 using cBioPortal), Table S3. (univariate logistic regression and ROC-AUC analyses in patients with Gleason score 6–10 tumours), Table S4. (multivariable logistic regression analysis for predicting BCR in patients with Gleason score 3 + 4 = 7 using pairs of one upregulated and one downregulated transcript), Table S5. (univariate logistic regression and ROC-AUC analyses in patients with Gleason score 6 tumours), Table S6. (univariate logistic regression and ROC-AUC analyses in patients with Gleason score 4 + 3 = 7 tumours), Table S7. (mean transcript abundance in patients with BCR and without BCR, broken down by Gleason score), and Table S8. (description of the 12 transcripts that predicted BCR in the validation dataset. Includes citations for other studies that found these transcripts to be prognostic for PCa outcome). (XLSX 189 kb)