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Influence of TP53 Comutation on the Tumor Immune Microenvironment and Clinical Outcomes With Immune Checkpoint Inhibitors in STK11 -Mutant Non–Small-Cell Lung Cancer.

Authors :
Naqash, Abdul Rafeh
Floudas, Charalampos S.
Aber, Etan
Maoz, Asaf
Nassar, Amin H.
Adib, Elio
Choucair, Khalil
Xiu, Joanne
Baca, Yasmine
Ricciuti, Biagio
Alessi, Joao V.
Awad, Mark M.
Kim, Chul
Judd, Julia
Raez, Luis E.
Lopes, Gilberto
Nieva, Jorge J.
Borghaei, Hossein
Takebe, Naoko
Ma, Patrick C.
Source :
JCO Precision Oncology; 2/8/2024, Vol. 8, p1-16, 16p
Publication Year :
2024

Abstract

PURPOSE: Non–small-cell lung cancer (NSCLC) with STK11 <superscript>mut</superscript> has inferior outcomes to immune checkpoint inhibitors (ICIs). Using multiomics, we evaluated whether a subtype of STK11 <superscript>mut</superscript> NSCLC with a uniquely inflamed tumor immune microenvironment (TIME) harboring TP53 comutations could have favorable outcomes to ICIs. PATIENTS AND METHODS: NSCLC tumors (N = 16,896) were analyzed by next-generation sequencing (DNA-Seq/592 genes). A subset (n = 5,034) underwent gene expression profiling (RNA-Seq/whole transcriptome). Exome-level neoantigen load for STK11 <superscript>mut</superscript> 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 = 34) and the study by Rizvi et al (n = 49) were used to model progression-free survival (PFS), and a separate ICI-treated cohort (n = 53) from Dana-Farber Cancer Institute (DFCI) was used to assess time to treatment failure (TTF) and tumor RECIST response for STK11 <superscript>mut</superscript> TP53 <superscript>mut</superscript> versus STK11 <superscript>mut</superscript> TP53 <superscript>wt</superscript> NSCLC. RESULTS: Overall, 12.6% of NSCLC tumors had a STK11 <superscript>mut</superscript> 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 <superscript> mut </superscript> (n = 463) for stimulator of interferon-gamma (STING) pathway genes identified a STING-high cluster, which was significantly enriched in TP53 <superscript>mut</superscript> NSCLC (P <.01). Compared with STK11 <superscript>mut</superscript> TP53 <superscript>wt</superscript>, tumors with STK11 <superscript>mut</superscript> TP53 <superscript>mut</superscript> had higher CD8+T 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 <superscript>mut</superscript> TP53 <superscript>mut</superscript>. In the DFCI cohort, compared with the STK11 <superscript>mut</superscript> TP53 <superscript>wt</superscript> cohort, the STK11 <superscript>mut</superscript> TP53 <superscript>mut</superscript> tumors had higher objective response rates (42.9% v 16.7%; P =.04) and also had longer TTF (14.5 v 4.5 months, P adj =.054) with ICI. CONCLUSION: STK11 <superscript>mut</superscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24734284
Volume :
8
Database :
Complementary Index
Journal :
JCO Precision Oncology
Publication Type :
Academic Journal
Accession number :
175345869
Full Text :
https://doi.org/10.1200/PO.23.00371