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Smoking is recognized as the major cause of lung cancer. Healthcare professionals play an important role in lung cancer prevention policies, as they act as a source of guidance for patients and advocates. The following survey evaluated prevalence, knowledge, and attitudes toward tobacco smoking among a sample of workers in "IRCCS Istituto Tumori "Giovanni Paolo II" of Bari, an Italian cancer hospital. An anonymous questionnaire was completed by 104 healthcare professionals to collect personal and occupational data about smoking status, knowledge about the harms of smoking, current legislation in place, Second-Hand Smoke (SHS) awareness, and, for ex-smokers, the reasons for quitting. Among participants, 17.8% were current smokers, 26.2% former smokers, and 56% never smoked. Only 40% acknowledged that the smoking ban is generally respected, and 63.2% reported that they smoke during working hours. Most of the participants perceived tobacco control policy as an efficient way to protect public health. Currently, the implementation of Italian anti-smoking legislation has so far improved neither smoking cessation rates nor the will to quit smoking completely. Our experience highlights that to date the anti-smoking strategies have limited efficacy even in a cancer center; in fact, there is still a large prevalence of smokers among hospital personnel. Therefore, it is strongly suggested that interventions be shared with all healthcare workers, specifically aimed at developing a culture of health promotion.

This article investigates the effects of tobacco control policies on smoking initiation, cessation and prevalence by examining the papers published in the last 5 years. Twenty-one articles have been selected by two authors and sorted by four types of tobacco control: tobacco prices, anti-smoking campaigns for young people, mass media intervention and public smoking bans. Price/tax increase has deterrent effect on smoking initiation but does not promote smoking cessation; intervention on young people could reduce the smoking initiation if carried out at an early age and if acted on social skills and with peer-led approach, as opposed to restraining measures which hare generally easily circumvented by young people. The mass media campaigns showed positive effect on attempts to quit among smokers if carried forward over time and by involving multiple communication channels (TV, internet, radio). The bans in public have little effect on smoking cessation but could improve the overall well-being of non-smokers. Heterogeneous results have been described by different studies probably because of different research methodologies, cultural aspects and the really effective implementation of the rules for each country. In conclusion, comprehensive tobacco control interventions to reduce smoking prevalence and modify the smoking behavior are recommended. Moreover, the use of e-cigarettes and heat-not-burn (HnB) products, as possible helping tool for smoke cessation, currently remains controversial.

Introduction: Tobacco smoking among adolescents is still frequent and stalling in the last decades, so the main purpose of this research is to know if the COVID-19 pandemic had an impact on adolescents' perceptions regarding smoking We investigated: 1) the prevalence of active cigarette smoking;2) if smoking of parents and friends and school environment influences the choice to smoke;3) if the students capture the presence of images of smoking in films;4) the level of concern of the younger people regarding the association between Covid-19 disease and smoke Methods: 719 students (65% boys, aged 13-19 years, from the high school, technical and professional institutes) filled an anonymous questionnaire (31-item), during Covid-lockdown Results: The students have been subdivided into the following categories: daily smokers (12 8%), occasional (30 3%), former (8 8%) and never smokers (48 1%) 52% of students have smoked at least once (n s for gender) Interestingly, over time the probability of starting to smoke decreases (fig1) Furthermore, the students who start smoking early tend to smoke daily (r=-0 13;p < 0 01) and more cigarettes (r=-0 30;p < 0 01) 83% of students start smoking out of curiosity and a spirit of adventure, consuming 1 to 4 cigarettes daily Moreover 30% of them would want to quit but failed;27% never thought about it;while 44% report that they will quit smoking in a few years 59% consume manufactured cigarettes, 36% smoke rolling tobacco;3% use HNB and 2% e-cigarettes The type of cigarettes considered less harmful are electronic cigarettes 68% of the student smokers have in turn someone in the family who smokes, on the contrary only 37 5% of non-smoking students have parent smokers Considering only the students who smoked at least once, 65% replied that someone among friends smoke, while only 4% of no-smokers have smoking friends Finally, the adolescents attending professional institutes smoke daily and more cigarettes (F (2, 368)=5 32;p

Other than the programmed cell death ligand 1 (PD-L1) value, oncologists have only the clinical characteristics of patients with advanced non-small-cell lung cancer (aNSCLC) to determine candidates for immunotherapy. A clinical prognostic score composed of the Eastern Cooperative Oncology Group performance status, sex, histologic type, stage, platinum-based first-line therapy, and response to first-line therapy has categorized 3 prognostic groups for patients undergoing second-line chemotherapy. We sought to validate the same score for patients with aNSCLC treated with second- or further-line immunotherapy.We collected data from 2 Italian centers. A score was generated to divide patients into 3 prognostic groups: best, score 5; intermediate, score 5 to 9; and worst, score9. Overall survival (OS) and progression-free survival (PFS) were the endpoints.A total of 347 patients were included for analysis. Their median age was 66 years (range, 30-88 years), most were aged 70 years (67.5%), 70.7% were men, 79.5% were smokers, and 74.6% had had adenocarcinoma. The Eastern Cooperative Oncology Group performance status was 0 for 23%, 1 for 54.5%, and 2 for 22.5%. Of the 347 patients, 28% were in the best prognosis, 51% in the intermediate, and 21% in the worst prognosis group, respectively. The median OS was 18.0 months for the best, 8.5 months for the intermediate (hazard ratio [HR] vs. best, 1.83; 95% confidence interval [CI], 1.35-2.47; P .001) and 2.6 months for worst (HR vs. best, 5.77; 95% CI, 3.99-8.33; P .001) group. The median PFS was 3.4 months for the best, 3.7 months for the intermediate (HR vs. best, 1.35; 95% CI, 1.03-1.77; P = .032), and 1.9 months for the worst (HR vs. best, 2.51; 95% CI, 1.80-3.50; P .001) group.The prognostic score was able to predict the outcomes of patients with aNSCLC who had received immunotherapy. The worst category showed a dismal life expectancy and probably would not benefit from active systemic therapy. Thus, for these patients, best supportive care could be the best choice.

Despite promising results obtained in the early diagnosis of several pathologies, breath analysis still remains an unused technique in clinical practice due to the lack of breath sampling standardized procedures able to guarantee a good repeatability and comparability of results. The most diffuse on an international scale breath sampling method uses polymeric bags, but, recently, devices named Mistral and ReCIVA, able to directly concentrate volatile organic compounds (VOCs) onto sorbent tubes, have been developed and launched on the market. In order to explore performances of these new automatic devices with respect to sampling in the polymeric bag and to study the differences in VOCs profile when whole or alveolar breath is collected and when pulmonary wash out with clean air is done, a tailored experimental design was developed. Three different breath sampling approaches were compared: (a) whole breath sampling by means of Tedlar bags, (b) the end-tidal breath collection using the Mistral sampler, and (c) the simultaneous collection of the whole and alveolar breath by using the ReCIVA. The obtained results showed that alveolar fraction of breath was relatively less affected by ambient air (AA) contaminants (p-values equal to 0.04 for Mistral and 0.002 for ReCIVA Low) with respect to whole breath (p-values equal to 0.97 for ReCIVA Whole). Compared to Tedlar bags, coherent results were obtained by using Mistral while lower VOCs levels were detected for samples (both breath and AA) collected by ReCIVA, likely due to uncorrected and fluctuating flow rates applied by this device. Finally, the analysis of all data also including data obtained by explorative analysis of the unique lung cancer (LC) breath sample showed that a clean air supply might determine a further confounding factor in breath analysis considering that lung wash-out is species-dependent.

Malignant pleural mesothelioma (MPM) is a rare neoplasm, mainly caused by asbestos exposure, with a high mortality rate. The management of patients with MPM is controversial due to a long latency period between exposure and diagnosis and because of non-specific symptoms generally appearing at advanced stage of the disease. Breath analysis, aimed at the identification of diagnostic Volatile Organic Compounds (VOCs) pattern in exhaled breath, is believed to improve early detection of MPM. Therefore, in this study, breath samples from 14 MPM patients and 20 healthy controls (HC) were collected and analyzed by Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC/MS). Nonparametric test allowed to identify the most weighting variables to discriminate between MPM and HC breath samples and multivariate statistics were applied. Considering that MPM is an aggressive neoplasm leading to a late diagnosis and thus the recruitment of patients is very difficult, a promising data mining approach was developed and validated in order to discriminate between MPM patients and healthy controls, even if no large population data are available. Three different machine learning algorithms were applied to perform the classification task with a leave-one-out cross-validation approach, leading to remarkable results (Area Under Curve AUC = 93%). Ten VOCs, such as ketones, alkanes and methylate derivates, as well as hydrocarbons, were able to discriminate between MPM patients and healthy controls and for each compound which resulted diagnostic for MPM, the metabolic pathway was studied in order to identify the link between VOC and the neoplasm. Moreover, five breath samples from asymptomatic asbestos-exposed persons (AEx) were exploratively analyzed, processed and tested by the validated statistical method as blinded samples in order to evaluate the performance for the early recognition of patients affected by MPM among asbestos-exposed persons. Good agreement was found between the information obtained by gold-standard diagnostic methods such as computed tomography CT and model output.

Malignant pleural mesothelioma (MPM) is a rare neoplasm related to asbestos exposure and with high mortality rate. The management of patients with MPM is complex and controversial, particularly with regard to early diagnosis. In the last few years, breath analysis has been greatly implemented with this aim. In this review the strengths of breath analysis and preliminary results in searching breath biomarkers of MPM are highlighted and discussed, respectively. Through a systematic electronic literature search, collecting papers published from 2000 until December 2018, fifteen relevant scientific papers were selected. All papers considered were prospective, comparative, observational case–control studies although every single one pilot and based on a relatively small number of samples. The identification of diagnostic VOCs pattern, through breath sample characterization and the statistical data treatment, allows to obtain a strategic information for clinical diagnostics. To date the collected data provide just preliminary information and, despite the promising results and diagnostic accuracy, conclusions cannot be generalized due to the limited number of individuals included in each cohort study. Furthermore none of studies was externally validated, although validation process is a necessary step towards clinical implementation. Breathomics-based biomarker approach should be further explored to confirm and validate preliminary findings and to evaluate its potential role in monitoring the therapeutic response.

Background Second-line immunotherapy (IO) has shown an overall survival benefit. However, only 18% to 20% of patients with advanced non–small-cell lung cancer (aNSCLC) will respond, with a median progression-free survival (PFS) of 2 to 4 months. Thus, biomarkers to select those patients most likely to benefit from IO are greatly needed. Patients and Methods We conducted a retrospective analysis of 154 patients with aNSCLC who had received anti–programmed cell death 1 therapy as second line or further treatment. We assessed the absolute neutrophil, lymphocyte, monocyte, and eosinophil counts at baseline (T0) and the second (T1) and third (T2) cycles. The neutrophil/lymphocyte ratio (NLR), derived-NLR (dNLR), lymphocyte/monocyte ratio (LMR), and their percentage of change at T1 and T2 compared with T0 were evaluated. The clinical characteristics and lactate dehydrogenase (LDH) level were also considered. Univariate and multivariate analyses were performed. Significant biomarkers for PFS on multivariate analysis were combined in a prognostic score. Results For overall survival, the negative prognostic biomarkers were Eastern Cooperative Oncology Group (ECOG) performance status (PS) 2, NLR at T0, and dNLR at T1; the LMR at T0, T1, and T2 was identified as a positive prognostic biomarker. For PFS, the negative prognostic biomarkers were ECOG PS 2, liver metastases, NLR at T0, dNLR at T1 and T2, and ≥ 30% increase of NLR from T0 to T1; the positive prognostic biomarkers were heavy smoking, LDH, and LMR at T2. The ≥ 30% increase of LMR from T0 to T1 and T0 to T2 correlated with the overall response rate. A prognostic score (EPSILoN score; smoking, ECOG PS, liver metastases, LDH, NLR) identified 3 prognostic groups (median PFS, 10.2, 4.9, and 1.7 months, respectively; P Conclusions The EPSILoN score combines 5 baseline clinical and blood biomarkers and can help to identify patients with aNSCLC who will most likely benefit from second-line IO. Further studies are warranted.

e14077 Background: Beyond PD-L1, nowadays oncologists can only use clinical characteristics to candidate patients for immunotherapy (IO). Previously, a clinical prognostic score composed by ECOG performance status (PS), sex, histology, stage, uses of platin-based therapy at first-line (1L) and response to 1L categorized 3 different prognostic groups for patients treated with second-line (2L) chemotherapy (CHT) (Di Maio, EJC. 2010 Mar;46(4):735-43.). The aim of this study is to assess if the same score is able to discriminate the outcome of aNSCLC pts treated in 2L or further-line IO, potentially helping decision making. Methods: We recorded data of patients collected from two institutional databases: Istituto Nazionale Tumori of Milan and IRCCS Oncologico Giovanni Paolo II of Bari, Italy. Overall survival (OS) was the primary endpoint and also progression-free survival (PFS) was assessed. Prognostic score was generated, and pts were divided into 3 prognostic groups: best (B: < 5), intermediate (I:5-9), worst (W: > 9). Results: Overall, 347 pts were included in the analysis (193 from Milan and 154 from Bari). Median age was 66 years (y) (30 – 88y), most were < 70 y (67.5%), male (70.7%), smokers (79.5%) and adenocarcinoma (74.6%). ECOG PS was: 0 (23%), 1 (54.5%) and 2 (22.5%). Pts distribution was: 28%, 51% and 21% in the B, I and W groups, respectively. Median OS was 18.0 months for B group, 8.5 months for I group (HR vs B 1.83, 95%CI 1.35 – 2.47, p < 0.001) and 2.6 months for W group (HR vs B 5.77, 95%CI 3.99 – 8.33, p < 0.001). Median PFS was 3.4 months for B group, 3.7 months for I group (HR vs B 1.35, 95% CI 1.03 – 1.77, p = 0.032) and 1.9 months for W group (HR vs B 2.51. 95% CI 1.80- 3.50, p < 0.001). Similar results were obtained stratifying the model by Institution. Conclusions: This clinical prognostic score, that was generated in patients treated with second-line chemotherapy, is able to highly predict outcomes of patients treated with IO. These results demonstrated that in pre-treated aNSCLC pts, the worst category has a dismal absolute life expectancy, and probably would not benefit from any active systemic therapy (independently if CHT or IO). Perhaps for these pts best supportive care could be the best choice.