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

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Article Abstract

Purpose: Non-small-cell lung cancer (NSCLC) with has inferior outcomes to immune checkpoint inhibitors (ICIs). Using multiomics, we evaluated whether a subtype of NSCLC with a uniquely inflamed tumor immune microenvironment (TIME) harboring 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 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 versus NSCLC.

Results: Overall, 12.6% of NSCLC tumors had a 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 (n = 463) for stimulator of interferon-gamma (STING) pathway genes identified a STING-high cluster, which was significantly enriched in NSCLC ( < .01). Compared with , tumors with had higher CD8+T cells and natural killer cells ( < .01), higher TMB ( < .001) and neoantigen load ( < .001), and increased expression of and ( < .01), along with higher expression ( < .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 . In the DFCI cohort, compared with the cohort, the tumors had higher objective response rates (42.9% 16.7%; = .04) and also had longer TTF (14.5 4.5 months, adj = .054) with ICI.

Conclusion: NSCLC with 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10860998PMC
http://dx.doi.org/10.1200/PO.23.00371DOI Listing

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