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Introduction: Real-world evidence regarding molecular epidemiology and management patterns of patients with EGFR exon-20 mutated, advanced NSCLC outside the context of clinical trials is lacking. Methods: We created a European registry for patients with advanced EGFR exon 20-mutant NSCLC diagnosed from January 2019 to December 2021. Patients enrolled in clinical trials were excluded. Clinicopathologic and molecular epidemiology data were collected, and treatment patterns were recorded. Clinical end points according to treatment assignment were assessed using Kaplan-Meier curves and Cox regression models. Results: Data on 175 patients from 33 centers across nine countries were included in the final analysis. Median age was 64.0 (range: 29.7-87.8) years. Main features included female sex (56.3%), never or past smokers (76.0%), adenocarcinoma (95.4%), and tropism for bone (47.4%) and brain (32.0%) metastases. Mean programmed death-ligand 1 tumor proportional score was 15.8% (range: 0%-95%) and mean tumor mutational burden was 7.06 (range: 0-18.8) mutations per megabase. Exon 20 was detected in the tissue (90.7%), plasma (8.7%), or both (0.6%), using mostly targeted next-generation sequencing (64.0%) or polymerase chain reaction (26.0%). Mutations were mainly insertions (59.3%), followed by duplications (28.1%), deletions-insertions (7.7%), and the T790M (4.5%). Insertions and duplications were located mainly in the near loop (codons 767-771, 83.1%) and the far loop (codons 771-775, 13%) and only in 3.9% within the C helix (codons 761-766). Main co-alterations included mutations in TP53 (61.8%) and MET amplifications (9.4%). Treatment on mutation identification included chemotherapy (CT) (33.8%), CT-immunotherapy (IO) (18.2%), osimertinib (22.1%), poziotinib (9.1%), mobocertinib (6.5%), mono-IO (3.9%), and amivantamab (1.3%). Disease control rates were 66.2% with CT plus or minus IO, 55.8% with osimertinib, 64.8% with poziotinib, and 76.9% with mobocertinib. Corresponding median overall survival was 19.7, 15.9, 9.2, and 22.4 months, respectively. In multivariate analysis, type of treatment (new targeted agents versus CT ± IO) affected progression-free survival (p = 0.051) and overall survival (p = 0.03). Conclusions: EXOTIC represents the largest academic real-world evidence data set on EGFR exon 20-mutant NSCLC in Europe. Indirectly compared, treatment with new exon 20-targeting agents is likely to confer survival benefit than CT plus or minus IO.
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BACKGROUND: The emergence of novel antiprogrammed cell death protein-1 (PD-1) inhibitors in non-small cell lung cancers (NSCLC) has revolutionized the therapeutic landscape of this disease. Although overall survival (OS) has improved in the first- and second-line therapy settings for advanced NSCLC, the benefit is not universal. In a climate of global scrutiny for healthcare costs and potential for toxicities related to immunotherapy, appropriate patient selection is crucial. The aim of this study was to evaluate potential prognostic and predictive biomarkers interferon-gamma (IFN-γ), tumour necrosis factor-alpha (TNF-α) and a panel of interleukins (ILs) in the peripheral blood, and assess any correlation with response to anti-PD-1 inhibition, progression-free survival and OS in NSCLC patients. METHODS: We prospectively studied 26 NSCLC patients that received immunotherapy (either pembrolizumab or nivolumab). IFN-γ, TNF-α, IL-1ß, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10 and IL-12 were analyzed by flow cytometry at the time of diagnosis and at 3 months after initiation of anti-PD-1 inhibition. RESULTS: Increased cytokine values (IFN-γ, TNF-α, IL-1ß, IL-2, IL-4, IL-6 and IL-8) at the time of diagnosis and at 3 months after initiation of treatment were significantly correlated with improved response to immunotherapy and prolonged OS. There was no correlation between cytokine levels and programmed cell death ligand-1 (PD-L1) expression. CONCLUSIONS: Increased IFN-γ, TNF-α, IL-1ß, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10 and IL-12 levels resulted in better response to NSCLC anti-PD-1 inhibition and longer survival, and this could potentially play an important role in selecting patients that would benefit from anti-PD-1 inhibitors.
