Table 4 Multivariate D-index analysis

From: A consensus prognostic gene expression classifier for ER positive breast cancer

	1	2	3	4	5	6	7	8	9	10	Opt.
JRH-1
MPI (A)	0.21	0.19	0.03	0.03	0.05	0.06	0.43	0.12	0.04	0.16	0.15
Grade	0.06	0.07	0.11	0.05	0.10	0.11	0.05	0.08	0.10	0.10	0.05
Node status	0.79	0.73	0.96	0.86	0.93	0.89	0.65	0.87	0.83	0.91	0.91
Size	0.07	0.01	0.02	0.05	0.03	0.05	0.04	0.02	0.02	0.11	0.11
MPI (B)	0.22	0.31	0.08	0.06	0.13	0.14	0.42	0.18	0.11	0.16	0.16
NPI	<0.005	<0.005	<0.005	<0.005	<0.005	0.01	<0.005	<0.005	<0.005	0.01	0.01
UPP
MPI (A)	0.01	0.01	0.06	0.01	0.02	0.01	<0.005	0.01	0.01	0.01	0.01
Grade	0.72	0.84	0.85	0.90	0.98	0.99	0.73	0.83	0.85	0.88	0.83
Node status	<0.005	<0.005	<0.005	<0.005	<0.005	<0.005	<0.005	<0.005	<0.005	<0.005	<0.005
Size	0.02	0.02	0.02	0.02	0.02	0.02	0.02	0.03	0.02	0.02	0.02
MPI (B)	0.02	0.03	0.12	0.02	0.04	0.03	0.01	0.02	0.02	0.02	0.02
NPI	<0.005	<0.005	<0.005	<0.005	<0.005	0.01	<0.005	<0.005	<0.005	<0.005	<0.005
JRH-2
MPI (A)	0.01	0.01	0.01	0.01	0.02	0.01	0.01	0.04	0.01	<0.005	0.01
Grade	0.19	0.10	0.24	0.24	0.07	0.15	0.23	0.13	0.21	0.43	0.10
Node status	0.44	0.16	0.76	0.45	0.24	0.35	0.67	0.50	0.25	0.37	0.24
Size	0.12	0.73	0.28	0.28	0.93	0.82	0.27	0.47	0.35	0.36	0.97
MPI (B)	<0.005	<0.005	0.01	0.01	<0.005	0.01	<0.005	0.01	<0.005	<0.005	<0.005
NPI*	0.51	0.53	0.75	0.58	0.97	0.78	0.99	0.63	0.50	0.47	0.96

Given are the rounded p values (to two significant digits) of the D-indices for two multivariate models, model A is log(h(t)) ~ (Grade) + (NodeStatus) + (TumorSize) + MPI_pand model-B is log(h(t)) ~ NPI + MPI_p, in the three external cohorts JRH-1, UPP and JRH-2. Columns label the 10 different derived molecular classifiers, depending on the training-test set partition p used, and the optimal 52-gene classifier. *For JRH-2 only 36 samples with NPI information were available. Opt., optimal.

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