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 (pâ<â0.01) 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)