Disentangling <i>KEAP1</i> and <i>STK11</i> in <i>KRAS</i> -mutant ( <i>KRAS</i> m) non–small cell lung cancer (NSCLC) treated with immunotherapy.

D Daniel Boiarsky L Lingzhi Hong B Biagio Ricciuti A Alissa Jamie Cooper (Department of Thoracic Oncology, Memorial Sloan Kettering Cancer Center, New York, NY) M Maliazurina B. Saad A Arielle Elkrief A Alessandro Di Federico M Muhammad Aminu (Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX) W Waree Rinsurongkawong X Xiuning Le (Department of Thoracic/Head and Neck Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA) J Jia Luo J Jia Wu D Don Lynn Gibbons (Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX) J John V. Heymach F Ferdinandos Skoulidis S So Yeon Kim A Adam Jacob Schoenfeld (Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY) M Mark M. Awad J Jianjun Zhang N Natalie I. Vokes

Abstract

e20583 Background: KEAP1 and STK11 are associated with poor response to immune checkpoint inhibitors (ICIs) in KRAS m NSCLC, but their distinct vs. combined effects are incompletely defined. Methods: We analyzed metastatic KRAS m NSCLC patients treated with ICIs at multiple centers, with external validation in the US-based deidentified Flatiron Health-Foundation Medicine NSCLC Clinico-Genomic Database. PFS/OS and real-world time-to-next-treatment (rwTTNT)/rwOS were the primary outcomes in the academic and Flatiron cohorts, respectively. Patients were stratified as KEAP1 m only (K), STK11 m only (S), co-mutant (KS), or wildtype (WT). To identify their predictive effects independent of other clinicogenomic variables, XGBoost models were trained to predict PFS &gt; 6 months from anti-PD-1 monotherapy (ICI-mono) or chemo-immunotherapy (ICI-chemo). SHAP identified feature importance. The academic cohort was split 80/20 into train/test and Flatiron served as external validation. CD8⁺ T-cell infiltration was assessed by immunofluorescence and validated using MCP-counter-inferred CD8⁺ T-cells from TCGA. Results: The academic and flatiron cohorts included 1019 and 2261 patients, respectively. As compared to WT tumors treated with ICI-mono (n=387), K tumors had no difference in PFS (n=58, HR 1.2, p=0.25), while S (n=56; HR 1.9, p&lt;0.001) and KS tumors (n=75; HR 2.2, p&lt;0.001) had progressively worse PFS. OS mirrored this: K tumors had no difference (HR 1.3, p=0.13); S (HR 1.6, p=0.0032) and KS tumors had progressively worse OS (HR 2.4, p&lt;0.001). As compared to WT tumors treated with ICI-chemo (n=219), K tumors trended toward worse PFS (n=35; HR 1.4, p=0.10), while S (n=60; HR 1.4, p=0.033) and KS tumors (n=89; HR 2.2, p&lt;0.001) had progressively worse PFS. OS was similar for S tumors (HR 1.2, p=0.38) but worse for K (HR 1.8, p&lt;0.001) and KS tumors (HR 1.9, p&lt;0.001). Flatiron validation confirmed these results. As compared to WT tumors (median PD-L1 30%), PD-L1 was lower in K (5%), and even lower in S (0%) and KS (0%) tumors. XGBoost models performed well for ICI-mono (test: AUC=0.70; Flatiron: rwTTNT HR 0.6, p&lt;0.001) and ICI-chemo (test: AUC=0.73; Flatiron: HR 0.6, p&lt;0.001). KS was the most predictive genomic feature in each model; K or S were not predictive. Compared with WT tumors, overall CD8 T-cell density was reduced in K and KS, but not S, tumors, a finding validated in TCGA. In contrast, CD8 T-cell density was reduced in the tumor-compartment in S and KS, but not K, tumors, suggesting that KEAP1 impairs global CD8 infiltration, whereas STK11 restricts intratumoral CD8 localization. Conclusions: In KRAS m NSCLC, KEAP1 and STK11 exhibit varying predictive and prognostic effects and immune-phenotypes depending on whether they occur alone or together. These findings have implications for risk stratification, treatment selection, and the development of therapeutics to overcome ICI resistance in these patients.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

D

Daniel Boiarsky

L

Lingzhi Hong

B

Biagio Ricciuti

A

Alissa Jamie Cooper

Department of Thoracic Oncology, Memorial Sloan Kettering Cancer Center, New York, NY

M

Maliazurina B. Saad

A

Arielle Elkrief

A

Alessandro Di Federico

M

Muhammad Aminu

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX

W

Waree Rinsurongkawong

X

Xiuning Le

Department of Thoracic/Head and Neck Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA

J

Jia Luo

J

Jia Wu

D

Don Lynn Gibbons

Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX

J

John V. Heymach

F

Ferdinandos Skoulidis

S

So Yeon Kim

A

Adam Jacob Schoenfeld

Thoracic Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY

M

Mark M. Awad

J

Jianjun Zhang

N

Natalie I. Vokes