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Purpose: The percentage of patients with metastatic non-small cell lung cancer (NSCLC) and melanoma who benefit from anti-programmed cell death protein 1 (anti-PD-1) is low owing to resistance mechanisms. SABR has a role in oligoprogressive disease and can improve responses to anti-PD-1. This multicenter prospective observational study aimed to determine whether concomitant anti-PD-1 and SABR to oligoprogressive sites enhance tumor response in metastatic NSCLC and melanoma.Methods and Materials: Patients with metastatic NSCLC or melanoma in progression to anti-PD-1 but continuing the same line owing to clinical benefit were referred for palliative SABR. All patients received concomitant pembrolizumab or nivolumab and SABR to 1 to 5 lesions, maintaining anti-PD-1 until further progression, unacceptable toxicity, or medical/patient decision. Objective response rate-complete responses and partial responses-was evaluated during all follow-up according to Response Evaluation Criteria in Solid Tumors 1.1. The abscopal response was evaluated 8 weeks after SABR as a ≥30% reduction in 1 to 2 predefined nonirradiated lesions.Results: Of the 61 patients enrolled, 50 could be analyzed. With a median follow-up of 32.8 months, objective response rate was 42% (30% complete responses and 12% partial responses). Median progression-free survival was 14.2 months (95% confidence interval, 6.9-29 months). Median overall survival since SABR was 37.4 months (95% confidence interval, 22.9 months-not reached). Abscopal response was 65%, evaluated in 40 patients who fulfilled the criteria.Conclusions: Combined anti-PD-1 and SABR in oligoprogressive metastatic NSCLC or melanoma can achieve high rates of response and extend the clinical benefit of immunotherapy by delaying further progression and a new systemic therapy. This approach should be assessed in larger randomized trials. [ABSTRACT FROM AUTHOR]

Lung cancer is one of the main causes of cancer-related mortality worldwide. Over the years, different therapeutic modalities have been adopted depending on tumor stage and patient characteristics, such as surgery, radiotherapy (RT), and chemotherapy. Recently, with the development of immune-checkpoint inhibitors (ICI), the treatment of metastatic and locally advanced non-small cell lung cancer (NSCLC) has experienced a revolution that has resulted in a significant improvement in overall survival with an enhanced toxicity profile. Despite this paradigm shift, most patients present some kind of resistance to ICI. In this setting, current research is shifting towards the integration of multiple therapies, with RT and ICI being one of the most promising based on the potential immunostimulatory synergy of this combination. This review gives an overview of the evolution and current state of the combination of RT and ICI and provides evidence-based data that can improve patient selection. The combination in lung cancer is a safe therapeutic approach that improves local control and progression-free survival, and it has the potential to unleash abscopal responses. Additionally, this treatment strategy seems to be able to re-sensitize select patients that have reached a state of resistance to ICI, further enabling the continuation of systemic therapy. [ABSTRACT FROM AUTHOR]

• There are differences among patients with thoracic tumors under and over 80 years. • In the older age group, are performed less molecular determinations. • There are no differences in biomarker alterations between age groups, except for EGFR. • Biomarker status should be tested in older patients to select the best-targeted therapy. Cancer is a disease of old age; however, most studies usually included minority of patients fit elderly. The purpose is to investigate the clinical characteristics and genetic information of patients with thoracic tumors who are 80 years old or older compared to those under 80 years old. The Thoracic Tumor Registry (TTR) is a Spanish observational, prospective cohort study that included patients diagnosed with thoracic tumors. Data were collected from medical records related to sociodemographic, epidemiological, clinical, molecular/genetic, and treatment outcome variables. The total number of patients, recruited from August 2016 to April 2023, was 26.193 (93,1 % were younger than 80 years and 6,9 % were 80 years or older). In the group of older patients: the male ratio increased (72,9 % vs. 80 %); the number of elderly people who had never smoked or were ex-smokers increased (9,9 % vs. 21,1 % and 44,8 % vs. 61,3 %, respectively) and the number of current smokers decreased (43,3 % vs. 17,5 %); had higher ECOG performance status at diagnosis (for ECOG ≥ 2, 15 % vs. 32,9 %), and there were more patients with previous cancer (17,3 % vs. 28 %). The proportion of men is higher than that of women (73 % vs. 27 % in <80 years and 80 % vs. 20 % in ≥80 years). For all biomarkers, the proportion of patients who had a molecular determination was lower in older patients. There were no differences in terms of alterations in the biomarkers tested; except for EGFR, for which the positivity rate was higher in patients aged 80 years and older (25 % vs. 15,3 %). The proportion of older patients with targeted mutations is higher. So, at least at diagnosis, it should be proceeded in a standard way. Then, when it comes to treatment, comorbidities and patient's baseline situation should be considered. Clinical Trial Registration: NCT02941458. [ABSTRACT FROM AUTHOR]

Background: Programmed death-ligand 1 (PD-L1) may be induced by oncogenic signals or can be upregulated via interferon gamma (IFN-γ). We have explored whether the expression of IFNG, the gene encoding IFN-γ, is associated with clinical response to the immune checkpoint blockade in non-small cell lung cancer (NSCLC) and melanoma patients. The role of inflammation-associated transcription factors STAT3, IKBKE, STAT1 and other associated genes has also been examined. Methods: Total RNA from 17 NSCLC and 21 melanoma patients was analyzed by quantitative reverse transcription PCR. STAT3 and Rantes, YAP1 and CXCL5, DNMT1, RIG1 and TET1, EOMES, IFNG, PD-L1 and CTLA4, IKBKE and NFATC1 mRNA were examined. PD-L1 protein expression in tumor and immune cells and stromal infiltration of CD8+ T-cells were also evaluated. Progression-free survival and overall survival were estimated. Results: A total of 17 NSCLC patients received nivolumab and 21 melanoma patients received pembrolizumab. Progression-free survival with nivolumab was significantly longer in NSCLC patients with high versus low IFNG expression (5.1 months versus 2 months, p = 0.0124). Progression-free survival with pembrolizumab was significantly longer in melanoma patients with high versus low IFNG expression (5.0 months versus 1.9 months, p = 0.0099). Significantly longer overall survival was observed for melanoma patients with high versus low IFNG expression (not reached versus 10.2 months p = 0.0183). There was a trend for longer overall survival for NSCLC patients with high versus low IFNG expression. Conclusions: IFN-γ is an important marker for prediction of response to immune checkpoint blockade. Further research is warranted in order to validate whether IFNG is more accurate than PD-L1. [ABSTRACT FROM AUTHOR]

• Lung cancer in patients with a family history of cancer is more common in women. • Young lung cancer patients have two or more relatives with cancer. • Family history of cancer as a potential risk factor. • Family history of cancer should be considered in any lung cancer prevention strategy. Lung Cancer (LC) is a multifactorial disease for which the role of genetic susceptibility has become increasingly relevant. Our aim was to use artificial intelligence (AI) to analyze differences between patients with LC based on family history of cancer (FHC). From August 2016 to June 2020 clinical information was obtained from Thoracic Tumors Registry (TTR), a nationwide database sponsored by the Spanish Lung Cancer Group. In addition to descriptive statistical analysis, an AI-assisted analysis was performed. The German Technical Information Library supported the merging of data from the electronic medical records and database of the TTR. The results of the AI-assisted analysis were reported using Knowledge Graph, Unified Schema and descriptive and predictive analyses. Analyses were performed in two phases: first, conventional statistical analysis including 11,684 patients of those 5,806 had FHC. Median overall survival (OS) for the global population was 23 months (CI 95 %: 21.39–24.61) in patients with FHC versus 21 months (CI 95 %: 19.53–22.48) in patients without FHC (NFHC), p < 0.001. The second AI-assisted analysis included 5,788 patients of those 939 had FHC. 58.48 % of women with FHC had LC. 9.53 % of patients had an EGFR or HER2 mutation or ALK translocation and at least one relative with cancer. A family history of LC was associated with an increased risk of smoking-related LC. Non-smokers with a family history of LC were more likely to have an EGFR mutation in NSCLC. In Bayesian network analysis, 55 % of patients with a family history of LC and never-smokers had an EGFR mutation. In our population, the incidence of LC in patients with a FHC is higher in women and younger patients. FHC is a risk factor and predictor of LC development, especially in people ≤ 50 years. These results were confirmed by conventional statistics and AI-assisted analysis. [ABSTRACT FROM AUTHOR]