The Warren Alpert Medical School of Brown University, Providence, RI
Hina Khan , Julia Judd , Joanne Xiu , Asad Ullah , Girindra Ghanshyam Raval , Patrick C. Ma , Jorge J. Nieva , Milan Radovich , Matthew James Oberley , So Yeon Kim , Hirva Mamdani , Luis E. Raez , Ari M. Vanderwalde , Balasz Halmos , Hossein Borghaei , Stephen V. Liu , Nagla Fawzy Abdel Karim
Background: In NSCLC, different KRAS mutations (mt) define unique subgroups and certain co-mutations (co-mt) could have prognostic and therapeutic implications. Retrospective studies associate poor prognosis with co-mts in STK11 and KEAP1 with KRAS. It is unclear if PD-L1 expression and co-mt in KRAS mt NSCLC impacts outcomes. Methods: Molecular profiles of 27748 NSCLC tumors were tested with next-generation sequencing (Caris Life Sciences, Phoenix, AZ) and classified by KRAS mt. PD-L1 IHC (22C3) was reported as TPS. Real-world post-immunotherapy (IO) overall survival (OS) was obtained from insurance claims and calculated from start of an immune check-point inhibitor (with or without chemotherapy) to the last day of follow-up. Results: In all, 7634 (28%) samples had a KRAS mt; most common being G12C (11%), G12V (5.3%), G12D (3.9%) and G13X (2.0%). The most frequent co-mt was KRAS-TP53 (KP) (46%), similar in all KRAS subtypes. KRAS-STK11(KL) was in 23% of KRAS mt, enriched in G13X (33%) and lowest in G12D (16%). KRAS-KEAP1(KK) was co-mt in 10% of KRAS mt, highest in G13X (16%) and lowest in G12D (8%). KRASmt/STK11wt/KEAP1wt/TP53wt (K only) was 27% of KRAS mt, highest in G12D (36%) and lowest in G13X (16%). A small subgroup, 5.6% was KRAS-STK11-KEAP1 co-mt (KKL). The majority of pts in the KL (61%), KK (52%) and KKL (62%) cohorts had TPS <1%. In 1723 KRAS mt NSCLC pts treated with IO, KL, KK and KKL had significantly worse post-IO OS than KP and K only (table); KKL had the lowest OS. In the TPS≥1% KRAS mt group, KL, KK and KKL had worse post-IO OS than KP and K-only. In TPS<1% group, KL and KK had poor post-IO OS and K-only had favorable outcomes. However, KP had worse post-IO OS compared to K-only in TPS<1%. In G12C and G12V, similar trend with worse post-IO OS in KL, KK and KKL, compared to KP and K only was noted. Conclusions: We report a large real-world dataset evaluating outcomes with check-point inhibitors in NSCLCs with KRAS and specific co-mts. KL, KK and KKL subgroups demonstrate universally poor outcomes in all KRAS subtypes irrespective of PD-L1. Pts with KP co-mts have adverse post-IO outcomes in TPS<1% but favorable in TPS≥1%. TPS score remains a predictive marker of IO outcomes in KP, but not in KL, KK and KKL. These observations emphasize that both PD-L1 and co-mts have a clear association with clinical outcomes in KRAS-mt NSCLC, and must be used in predictive models for individualized therapy.
Post-IO OS (months) (95% CI) | ||||
---|---|---|---|---|
N | All | TPS<1% | TPS≥1% | |
All KRAS | 1723 | 16.8 (15-18.6) | 13.3 (11.6-15.6) | 15.4 (13.1-18.3) |
KP | 826 | 17.9 (15.3-20.7) | 10.4 (8.8-13.5)* | 17.5 (13.2-21) |
KL | 350 | 10.7 (9.4-12.3)*& | 11.8 (10-14.4)* | 9.1 (6.1-12.3)*& |
KK | 163 | 8.9 (6.7-10.7)*& | 8.9 (6.1-11)* | 7.5 (2.3-11.6)*& |
KKL | 83 | 8 (5.3-9.9)*& | 8.9 (6.1-11)* | 3.7 (1.3-9.8)*& |
K-only | 465 | 21 (17.6-25.7) | 23.2 (14.9-31.1)& | 18.4 (13.5-24.5) |
Some with overlaps: *: significantly different from K-only &: significantly different from KP.
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