1. Influence of TP53 Comutation on the Tumor Immune Microenvironment and Clinical Outcomes With Immune Checkpoint Inhibitors in STK11 -Mutant Non-Small-Cell Lung Cancer.
- Author
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Naqash AR, Floudas CS, Aber E, Maoz A, Nassar AH, Adib E, Choucair K, Xiu J, Baca Y, Ricciuti B, Alessi JV, Awad MM, Kim C, Judd J, Raez LE, Lopes G, Nieva JJ, Borghaei H, Takebe N, Ma PC, Halmos B, Kwiatkowski DJ, Liu SV, and Mamdani H
- Subjects
- Humans, Immune Checkpoint Inhibitors pharmacology, Immune Checkpoint Inhibitors therapeutic use, Progression-Free Survival, Tumor Microenvironment genetics, Tumor Suppressor Protein p53 genetics, AMP-Activated Protein Kinase Kinases, Carcinoma, Non-Small-Cell Lung drug therapy, Carcinoma, Non-Small-Cell Lung genetics, Carcinoma, Non-Small-Cell Lung pathology, Lung Neoplasms drug therapy, Lung Neoplasms genetics, Lung Neoplasms pathology, Antineoplastic Agents, Immunological therapeutic use
- Abstract
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 STK11mut 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 STK11mut 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 STK11mut TP53mut versus STK11mut TP53wt NSCLC., Results: Overall, 12.6% of NSCLC tumors had a STK11mut 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 STK11mut (n = 463) for stimulator of interferon-gamma (STING) pathway genes identified a STING-high cluster, which was significantly enriched in TP53mut NSCLC ( P < .01). Compared with STK11mut TP53wt , tumors with STK11mut TP53mut 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 STK11mut TP53mut . In the DFCI cohort, compared with the STK11mut TP53wt cohort, the STK11mut TP53mut 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: STK11mut 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.- Published
- 2024
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