Table 2. Mutated genes with independent prognostic value for TTFT and OS.

Multivariate Fine-Gray regression model for TTFT			Multivariate Cox regression model for OS
Variable	HR (95% CI)	P-value	Variable	HR (95% CI)	P-value
IGHV (unmut vs. mut)	2.41 (1.66–3.48)	<0.001	Age at sampling (>65 vs ⩽65 years)	2.50 (1.53–4.07)	<0.001
Binet stage (B/C vs A)	2.76 (1.95–3.89)	<0.001	del(17p) (presence vs absence)	5.65 (2.59–12.3)	<0.001
SF3B1 (mut vs unmut)	1.80 (1.28–2.54)	<0.001	IGHV (unmut vs mut)	2.29 (1.43–3.69)	0.001
BRAF (mut vs unmut)	2.23 (1.18–4.21)	0.013	FBXW7 (mut CCF⩾52 vs unmut/mut CCF <52%)	5.50 (2.07–14.6)	0.001
ATM (mut vs unmut)	1.58 (1.09–2.29)	0.015	NOTCH1 (mut CCF⩾63% vs unmut/mut CCF <63%)	2.08 (1.20–3.61)	0.009
NOTCH1 (mut vs unmut)	1.45 (1.05–2.00)	0.025	SF3B1 (mut vs unmut)	2.03 (1.15–3.57)	0.015
MGA (mut vs unmut)	1.82 (1.05–3.15)	0.033	TP53 (mut w/o del(17p) vs unmut/mut with del(17p))	1.97 (1.01–3.82)	0.045

N=359, events=188, competing events=27. Starting model: IGHV, Binet stage, age at sampling, gender, del(17p) (with or without TP53 mutation), del(11q) (with or without ATM mutation), NOTCH1, SF3B1, ATM (without del(11q)), POT1, NFKBIE, XPO1, MGA, RPS15, DDX3X and BRAF mutations.

N=319, events=84. Starting model: IGHV, Binet stage, age at sampling, gender, del(17p) (with or without TP53 mutation), del(11q) (with or without ATM mutation), NOTCH1, SF3B1, FBXW7 and TP53 (without del(17p)) mutations.