TY - JOUR
T1 - Influence of TP53 Comutation on the Tumor Immune Microenvironment and Clinical Outcomes With Immune Checkpoint Inhibitors in STK11-Mutant Non-Small-Cell Lung Cancer
AU - Naqash, Abdul Rafeh
AU - Floudas, Charalampos S
AU - Aber, Etan
AU - Maoz, Asaf
AU - Nassar, Amin H
AU - Adib, Elio
AU - Choucair, Khalil
AU - Xiu, Joanne
AU - Baca, Yasmine
AU - Ricciuti, Biagio
AU - Alessi, Joao V
AU - Awad, Mark M
AU - Kim, Chul
AU - Judd, Julia
AU - Raez, Luis E
AU - Lopes, Gilberto
AU - Nieva, Jorge J
AU - Borghaei, Hossein
AU - Takebe, Naoko
AU - Ma, Patrick C
AU - Halmos, Balazs
AU - Kwiatkowski, David J
AU - Liu, Stephen V
AU - Mamdani, Hirva
N1 - Publisher Copyright:
© 2024 by American Society of Clinical Oncology.
PY - 2024/2
Y1 - 2024/2
N2 - PURPOSE Non–small-cell lung cancer (NSCLC) with STK11
mut has inferior outcomes to immune checkpoint inhibitors (ICIs). Using multiomics, we evaluated whether a subtype of STK11
mut NSCLC with a uniquely inflamed tumor immune microenvironment (TIME) harboring TP53 comutations could have favorable outcomes to ICIs. PATIENTS AND NSCLC tumors (N 5 16,896) were analyzed by next-generation sequencing METHODS (DNA-Seq/592 genes). A subset (n 5 5,034) underwent gene expression profiling (RNA-Seq/whole transcriptome). Exome-level neoantigen load for STK11
mut NSCLC was obtained from published pan-immune analysis. Tumor immune cell content was obtained from transcriptome profiles using the microenvironment cell population (MCP) counter. ICI data from POPLAR/OAK (n 5 34) and the study by Rizvi et al (n 5 49) were used to model progression-free survival (PFS), and a separate ICI-treated cohort (n 5 53) from Dana-Farber Cancer Institute (DFCI) was used to assess time to treatment failure (TTF) and tumor RECIST response for STK11
mutTP53
mut versus STK11
mutTP53
wt NSCLC. RESULTS Overall, 12.6% of NSCLC tumors had a STK11
mut with the proportions of tumor mutational burden (TMB)-high (≥10 mut/Mb), PD-L1 ≥50%, and microsatellite instability-high being 38.3%, 11.8%, and 0.72%, respectively. Unsupervised hierarchical clustering of STK11
mut (n 5 463) for stimulator of interferon-gamma (STING) pathway genes identified a STING-high cluster, which was significantly enriched in TP53
mut NSCLC (P < .01). Compared with STK11
mutTP53
wt, tumors with STK11
mutTP53
mut had higher CD81T cells and natural killer cells (P < .01), higher TMB (P < .001) and neoantigen load (P < .001), and increased expression of MYC and HIF-1A (P < .01), along with higher expression (P < .01) of glycolysis/ glutamine metabolism genes. Meta-analysis of data from OAK/POPLAR and the study by Rizvi et al showed a trend toward improved PFS in patients with STK11
mutTP53
mut. In the DFCI cohort, compared with the STK11
mut TP53
wt cohort, the STK11
mutTP53
mut tumors had higher objective response rates (42.9% v 16.7%; P 5 .04) and also had longer TTF (14.5 v 4.5 months, P adj 5 .054) with ICI. CONCLUSION STK11
mut NSCLC with TP53 comutation is a distinct subgroup with an immunologically active TIME and metabolic reprogramming. These properties should be exploited to guide patient selection for novel ICI-based combination approaches.
AB - PURPOSE Non–small-cell lung cancer (NSCLC) with STK11
mut has inferior outcomes to immune checkpoint inhibitors (ICIs). Using multiomics, we evaluated whether a subtype of STK11
mut NSCLC with a uniquely inflamed tumor immune microenvironment (TIME) harboring TP53 comutations could have favorable outcomes to ICIs. PATIENTS AND NSCLC tumors (N 5 16,896) were analyzed by next-generation sequencing METHODS (DNA-Seq/592 genes). A subset (n 5 5,034) underwent gene expression profiling (RNA-Seq/whole transcriptome). Exome-level neoantigen load for STK11
mut NSCLC was obtained from published pan-immune analysis. Tumor immune cell content was obtained from transcriptome profiles using the microenvironment cell population (MCP) counter. ICI data from POPLAR/OAK (n 5 34) and the study by Rizvi et al (n 5 49) were used to model progression-free survival (PFS), and a separate ICI-treated cohort (n 5 53) from Dana-Farber Cancer Institute (DFCI) was used to assess time to treatment failure (TTF) and tumor RECIST response for STK11
mutTP53
mut versus STK11
mutTP53
wt NSCLC. RESULTS Overall, 12.6% of NSCLC tumors had a STK11
mut with the proportions of tumor mutational burden (TMB)-high (≥10 mut/Mb), PD-L1 ≥50%, and microsatellite instability-high being 38.3%, 11.8%, and 0.72%, respectively. Unsupervised hierarchical clustering of STK11
mut (n 5 463) for stimulator of interferon-gamma (STING) pathway genes identified a STING-high cluster, which was significantly enriched in TP53
mut NSCLC (P < .01). Compared with STK11
mutTP53
wt, tumors with STK11
mutTP53
mut had higher CD81T cells and natural killer cells (P < .01), higher TMB (P < .001) and neoantigen load (P < .001), and increased expression of MYC and HIF-1A (P < .01), along with higher expression (P < .01) of glycolysis/ glutamine metabolism genes. Meta-analysis of data from OAK/POPLAR and the study by Rizvi et al showed a trend toward improved PFS in patients with STK11
mutTP53
mut. In the DFCI cohort, compared with the STK11
mut TP53
wt cohort, the STK11
mutTP53
mut tumors had higher objective response rates (42.9% v 16.7%; P 5 .04) and also had longer TTF (14.5 v 4.5 months, P adj 5 .054) with ICI. CONCLUSION STK11
mut NSCLC with TP53 comutation is a distinct subgroup with an immunologically active TIME and metabolic reprogramming. These properties should be exploited to guide patient selection for novel ICI-based combination approaches.
KW - Humans
KW - Carcinoma, Non-Small-Cell Lung/drug therapy
KW - Lung Neoplasms/drug therapy
KW - Immune Checkpoint Inhibitors/pharmacology
KW - Antineoplastic Agents, Immunological/therapeutic use
KW - Progression-Free Survival
KW - Tumor Microenvironment/genetics
KW - Tumor Suppressor Protein p53/genetics
KW - AMP-Activated Protein Kinase Kinases
UR - https://pubmed.ncbi.nlm.nih.gov/38330261/
UR - http://www.scopus.com/inward/record.url?scp=85200413840&partnerID=8YFLogxK
U2 - 10.1200/PO.23.00371
DO - 10.1200/PO.23.00371
M3 - Article
C2 - 38330261
SN - 2473-4284
VL - 8
SP - e2300371
JO - JCO Precision Oncology
JF - JCO Precision Oncology
M1 - e2300371
ER -