Abstract 619: Integrated multi-platform profiling of early-stage non-small cell lung cancer identifies relationship between disease recurrence and decreased native immune response in treatment-naïve resected NSCLC

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Abstract Introduction: Differences in the host immune environment are thought to mediate heterogeneous treatment responses in non-small cell lung cancer (NSCLC). Unlike individual platform analyses, integrative analysis of multi-platform profiling allows for the discovery of novel interactions that expand our understanding of the disease. Utilizing the ImmunogenomiC prOfiling of NSCLC patient cohort (ICON), a prospective multi-omics protocol of operable early-stage NSCLC tumors with integrated immune, genomic, and clinical data, we hypothesized that multi-platform analyses would identify differences in the immune-genomic landscape that are associated with disease recurrence. Methods: Tumor and tumor-adjacent uninvolved lung was collected at resection; blood was collected before and after surgery. Tissue samples underwent WES, RNAseq, TCR sequencing (TCRseq), multiplex immunofluorescence (mIF), and RPPA profiling; tissue and blood (PBMC) samples were analyzed by flow cytometry. An integrated, inter-modality network was built using Spearman correlations between measurement pairs from different data modalities. Multivariate analysis was performed to adjust for stage and histology. Results: A total of 89 treatment-naïve patients with Stage 1-3 resected NSCLC (Squamous: 19; Non-squamous: 70) and 24 months of follow-up were analyzed (recurrence N = 24; no recurrence N = 65). The data network includes over 4,000 measurements linked by over 50,000 correlations. InfoMap, a community detection approach, was used to extract sub-network modules, which were used to contextualize the results of multivariate analysis. Tumors from patients with recurrence demonstrated decreased immune cell infiltration and activation including decreased cytotoxic CD8 T-cells (CD8+PD1+; fold-change (FC) = 0.898, p = 0.018; flow cytometry), decreased T-cell clonality (FC = 0.954, p = 0.017; TCRseq), and decreased tumor-associated macrophages (CD68+PD-L1+; FC = 0.426, p = 0.011; mIF). Furthermore, circulating CD8+ICOS+ activated T cells were decreased in patients with recurrence suggesting an impaired systemic anti-tumor immune response (FC = 0.552, p = 0.042; PBMC Flow). Finally, tumor-adjacent uninvolved lungs showed distinct T-cell phenotypes with accumulation of inactive CD8 T-cells (CD8+PD1-TIM3-) in patients with recurrence and increased populations of activated CD8 T-cells (CD8+PD1+) in patients without recurrence. Conclusion: Integrative multi-omic analysis suggests preserved anti-tumor immune surveillance in patients who are disease-free after 2 years from surgical resection with curative intent for treatment of NSCLC relative to patients with disease recurrence. Further analysis is ongoing to interrogate genomic and immune variables that are associated with disease recurrence. Citation Format: Neal Akhave, Stephanie Schmidt, Alexandre Reuben, Tina Cascone, Jianhua Zhang, Jun Li, Junya Fujimoto, Lauren A. Byers, Beatriz Sanchez-Espiridion, Lixia Diao, Jing Wang, Lorenzo Federico, Marie-Andree Forget, Daniel J. McGrail, Annikka Weissferdt, Shiaw-Yih Lin, Younghee Lee, Carmen Behrens, Ignacio I. Wistuba, Andrew Futreal, Ara Vaporciyan, Boris Sepesi, John V. Heymach, Chantale Bernatchez, Cara Haymaker, Jianjun Zhang, Christopher A. Bristow, Marcelo V. Negrao, Don L. Gibbons. Integrated multi-platform profiling of early-stage non-small cell lung cancer identifies relationship between disease recurrence and decreased native immune response in treatment-naïve resected NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 619.