Lung Cancer Mortality Research Articles

Blood microRNA testing in participants with suspicious low-dose CT findings: follow-up of the BioMILD lung cancer screening trial

The proper management of suspicious radiologic findings is crucial to optimize the effectiveness of low-dose computed tomography (LDCT) lung cancer screening trials. In the BioMILD study, we evaluated the utility of combining a plasma 24-microRNA signature classifier (MSC) and LDCT to define the individual risk and personalize screening strategies. Here we aim to assess the utility of repeated MSC testing during annual screening rounds in 1024 participants with suspicious LDCT findings. The primary outcome was two-year lung cancer incidence in relation to MSC test results, reported as relative risk (RR) with 95% confidence interval (CI). Lung cancer incidence and mortality were estimated using extended Cox models for time-dependent covariates, yielding the respective hazard ratios (HR). Clinicaltrials.gov ID: NCT02247453. With a median follow-up of 8.5 years, the full study set included 1403 indeterminate LDCT (CTind) and 584 positive LDCT (CT+) results. A lung cancer RR increase in MSC+compared to MSC- participants was observed in both the CTind (RR: 2.5; 95% CI: 1.4-4.32) and CT+ (RR: 2.6; 95% CI: 1.81-3.74) groups and was maintained when considering stage I or resectable tumors only. A 98% negative predictive value in CTind/MSC- and a 30% positive predictive value in CT+/MSC+ lesions were recorded. At seven years' follow-up, MSC+ participants had a cumulative HR of 4.4 (95% CI: 3.0-6.4) for lung cancer incidence and of 8.1 (95% CI: 2.7-24.5) for lung cancer mortality. Our study shows that MSC can be reliably performed during LDCT screening rounds to increase the accuracy of lung cancer risk and mortality prediction and supports its clinical utility in the management of LDCT findings of uncertain malignancy. Italian Association for Cancer Research; Italian Ministry of Health; Horizon2020; National Cancer Institute (NCI); Gensignia LifeScience.

Lung cancer screening by low-dose CT scan in France: final results of the DEP KP80 study after three rounds

In prior randomised controlled trials, lung cancer screening using low-dose computed tomography (LDCT) has been shown to reduce lung cancer mortality and overall mortality. Despite these results, organised screening in France remains a challenge. This study assessed the feasibility and efficacy of lung cancer screening within a real-life context in a French administrative territory. DEP KP80 was a single-arm prospective study. Participants aged between 55 and 74 years, smokers or former smokers of ≥30 pack-years, were recruited. An annual LDCT scan was scheduled and three rounds were performed. Subjects were selected by general practitioners or pulmonologists, who checked the inclusion criteria and prescribed the CT scan. Between March 2016 and February 2020, 1254 participants were enrolled. Overall, 945 (75.4%) participants underwent baseline LDCT (T0), 376 (42.8%) completed the first round (T1) and 270 (31%) the second (T2) one. Forty-two lung cancers were diagnosed, 30 cancers (71.4%) were stage I or II and 34 cancers (80.9%) were treated surgically. In this study, the overall positive predictive value for a positive screening was 48% (95% CI 37-59) and the negative predictive value 100% (95% CI 100-100). This study demonstrated the feasibility and efficacy of lung cancer screening in a real-life context with most lung cancers diagnosed at an early stage and surgically removed. Our results also highlighted the importance of participation in each round, underlining the fact that optimising organisation is a major goal. Agence Régionale de Santé de Picardie, La Ligue contre le cancer, le Conseil Départemental de la Somme, and AstraZeneca.

Overdiagnosis of lung cancer in Chinese populations

Abstract Background Low-dose computed tomography (LDCT) has been widely-used in employee health examinations in China since 2011. This study was designed based on the Cancer Surveillance data to quantify the overdiagnosis of lung cancer due to the introduction of LDCT in Chinese populations. Methods This registry-based cohort study included 46,978 incident cases and 34,475 deaths of lung cancer from Pudong New Area of Shanghai, China, during 2002-2020. We calculated the age-standardized rates (ASR) and average annual changes (AAC) of mortality and overall, stage-specific and histological type-specific incidence by sex to evaluate the potential overdiagnosis of lung cancer. We further estimated the numbers and proportions of lung cancer cases attributable to overdiagnosis by sex and period based on the comparison between the shape of the age-specific curves with that prior to the introduction of LDCT in the populations. Results The ASR of incidence of lung cancer increased rapidly since 2011 in both men (AAC: 1.90%; 95%CI: 0.87, 2.92) and women (AAC: 4.40%; 95%CI: 3.19, 5.62), whereas the ASR of mortality declined persistently, with AAC of -0.12% (-0.64, 0.39) in men and -0.19% (-0.47, 0.09) in women. The upward trends in incidence were mainly observed in women, for early-stage cancer and for lung adenocarcinoma. Overall, the overdiagnosis rate of lung cancer grew from 22% in 2011-2015 to 50% in 2016-2020 in women. Further analysis demonstrated elevated numbers (proportions) of lung adenocarcinoma cases attributable to overdiagnosis, which increased from 182 (8%) in 2011-2015 to 827(22%) in 2016-2020 in men, and from 1,842 (85%) to 4,171 (89%) in women. Conclusions This registry-based cohort study observed considerable and increasing overdiagnosis of lung adenocarcinoma in Chinese men and women. Guideline is urgently needed to maximize the benefits of LDCT screening and reduce the potential overdiagnosis of lung cancer in the populations. Key messages • The secular trends in incidence and mortality of lung cancer in Chinese populations demonstrated the overdiagnosis since 2011, when the LDCT was used as a part of staff health examination in China. • Overdiagnosis of lung cancer in Chinese populations increased incrementally over time and was mainly observed among women.

The burden of lung cancer attributable to ambient PM2.5 exposure: a systematic literature review

Abstract Background Lung cancer is recognized as one of the most common causes of cancer morbidity and mortality worldwide and is the second cause of death with highest years of life lost in highly developed regions. Ambient exposure to particulate matter (PM2.5) is the leading global environmental risk factor. Long-term exposure to PM2.5 is associated with several health outcomes, including lung cancer, ischemic heart disease, and chronic obstructive pulmonary disease. Aim To review and estimate the impact attributable to PM2.5 exposure due to lung cancer. Methods A systematic review and a meta-analysis were conducted to determine whether long-term exposure to PM2.5 increases the risk of lung cancer and to derive exposure-response relationships between PM2.5 and lung cancer. The literature search was performed in databases (i.e., Pubmed/Scopus) and studies published from January 1, 2010 onwards were considered. Studies describing the association between long-term exposure to the pollutant under research and the incidence, prevalence, and mortality of lung cancer, considering a relative measure of association were included, with no restriction in geographical area. Results In the literature review, 2215 articles were considered for the first step of data synthesis, all articles were screened, considering the screening of titles (first step), abstracts (second step) and full-text (third step) considering the inclusion criteria. In a second step the data was extracted from the included articles (n = 129) and considering the variables related to the characteristics of the study and the study population, exposure, and outcome measurement, and details of risk of bias assessment. Conclusions These findings provide data to synthesize effect size estimates using a Meta-Regression - Bayesian, Ensemble, Regularized, Trimmed (MR-BRT) model, important to provide evidence data on the impact of air pollution on human health, which is crucial for decision-making. Key messages • Long-term exposure to PM2.5 increases lung cancer risk so the estimating of the impact of the exposure is an urgent need to provide evidence-based data for air quality improvement. • Meta-analysis aims to establish a relation between PM2.5 exposure and the burden of lung cancer.

Lung cancer screening: Real screening site data, Vojvodina, Serbia

Abstract Background Lung cancer (LC) is the top cause of cancer-related deaths globally and in Serbia, often diagnosed in advanced stage of disease with when 5-year survival is 10% to 20%. LC screening with low-dose CT (LDCT) can decrease LC mortality and overall mortality. The first pilot LC screening program in Serbia started in the Institute for Pulmonary Diseases of Vojvodina in September 2020. The main objective of this study was to analyze LC patient characteristics according to their screening status. Methods This retrospective study utilized LC hospital registry data from September 2020 to December 2023, including gender, age at diagnosis, settlement area, smoking habits, cancer histological type, TNM classification, disease stage (1-4), and data on participation in LC screening. Group differences were assessed using chi-square and Student’s t-tests, with analyses conducted in SPSS v24.0. Results During observed period from a total of 4649 LC cases 2948 (63.4%) were males, and 73 (1.6%) were included in LC screening. Average age of all LC patients was 66 years, without differences between groups (p = 0.778). Significant differences between groups by gender were find (p = 0.042). Non-screened LC patients were significantly common males compared to females (63.6% vs 36.4%), while among screened difference by gender were lower (52.1% vs 47.9%, respectively). Screened compared to non-screened LC patients have significantly lower percentage of SCLC (9.6% vs 19.1%), and higher percentage of NSCLC (90.4% vs 80.9%), (p = 0.040). According to LC stage, screened compared to non-screened patients were significantly common diagnosed in stage I of disease (45.8% vs 7.8%), and significantly less common in higher LC stages; stage IIIB (11.1% vs 22.5%), and in stage IV (22.2% vs 45.7%), (p < 0.001). Conclusions LC screening with LDCT is proven secondary preventive measure with significant influence on decreasing LC mortality by increasing number of LC patients in early stages of disease. Key messages • Lung cancer screening with low-dose CT significantly increases early-stage diagnoses, improving survival chances. • Population strategies to prevent smoking and screening programs for high-risk groups are needed to reduce lung cancer incidence and mortality rates in Serbia.

Adherence to lifelines diet is associated with lower lung cancer risk in 98,459 participants aged 55 years and above: a large prospective cohort study

BackgroundLifelines Diet Score (LLDS) was developed based on the 2015 Dutch Dietary Guidelines and current international scientific evidence. As a dietary quality assessment tool, the LLDS aims to evaluate the association between the Lifeline diet and the risk of chronic diseases. However, the evidence linking LLDS to lung cancer risk is currently limited.ObjectiveOur objective was to explore whether adherence to the LLDS is associated with reduced incidence and mortality of lung cancer, including its major histological subtypes: small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC).MethodsData for this research were sourced from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Trial. The LLDS for each participant was calculated based on responses to the dietary history questionnaire (DHQ), and subsequently analyzed after being categorized into quintiles. The Cox proportional hazards regression model was utilized to compute the hazard ratios (HRs) and 95% confidence intervals (CIs) for both the incidence and mortality of lung cancer, SCLC and NSCLC. Additionally, stratified analyses were conducted to ascertain possible effect modifiers, and several sensitivity analyses were performed to evaluate the robustness of the findings.ResultsDuring the mean follow-up periods of 8.8 years for incidence and 15.1 years for mortality, we identified 1,642 new cases and 1,172 related deaths from lung cancer. Participants in the highest quartiles of LLDS compared to those in the lowest exhibited a reduced incidence (HRQ4:Q1 = 0.80, 95% CI = 0.68–0.94, P for trend = 0.003) and mortality (HRQ4:Q1 = 0.81, 95%CI = 0.67–0.98, P for trend = 0.009) of lung cancer. Furthermore, this negative association remained for SCLC incidence (HRQ4:Q1 = 0.55, 95% CI = 0.35–0.87, P for trend = 0.002) and mortality (HRQ4:Q1 = 0.42, 95% CI = 0.25–0.70, P for trend <0.001). The association between LLDS and the incidence and mortality of lung cancer is not influenced by pre-defined potential effect modifiers (all Pinteraction > 0.05). The sensitivity analyses substantiated the robustness of the results.ConclusionIn conclusion, our research indicates that among 98,459 U.S. adults aged 55 and older, adherence to the LLDS is linked to a diminished incidence and mortality of lung cancer.

Long-term associations between time-varying exposure to ambient PM2.5 and mortality: an analysis of the UK Biobank.

Evidence for long-term mortality risks of PM2.5 comes mostly from large administrative studies with incomplete individual information and limited exposure definitions. Here we assess PM2.5-mortality associations in the UK Biobank cohort using detailed information on confounders and exposure. We reconstructed detailed exposure histories for 498,090 subjects by linking residential data with high-resolution PM2.5 concentrations from spatio-temporal machine learning models. We split the time-to-event data and assigned yearly exposures over a lag window of 8 years. We fitted Cox proportional hazard models with time-varying exposure controlling for contextual and individual-level factors, as well as trends. In secondary analyses, we inspected the lag structure using distributed lag models and compared results with alternative exposure sources and definitions. In fully adjusted models, an increase of 10 μg/m³ in PM2.5 was associated with hazard ratios (HRs) of 1.27 (95%CI: 1.06-1.53) for all-cause, 1.24 (1.03-1.50) for non-accidental, 2.07 (1.04-4.10) for respiratory, and 1.66 (0.86-3.19) for lung cancer mortality. We found no evidence of association with cardiovascular deaths (HR=0.88, 95%CI: 0.59-1.31). We identified strong confounding by both contextual- and individual-level lifestyle factors. The distributed lag analysis suggested differences in relevant exposure windows across mortality causes. Using more informative exposure summaries and sources resulted in higher risk estimates. We found associations of long-term PM2.5 exposure with all-cause, non-accidental, respiratory, and lung cancer mortality, but not with cardiovascular mortality. This study benefits from finely reconstructed time-varying exposures and extensive control for confounding, further supporting a plausible causal link between long-term PM2.5 and mortality.

The TELEhealth Shared decision-making COaching and navigation in Primary carE (TELESCOPE) intervention: a study protocol for delivering shared decision-making for lung cancer screening by patient navigators.

Lung cancer screening (LCS) can reduce lung cancer mortality but has potential harms for patients. A shared decision-making (SDM) conversation about LCS is required by the Centers for Medicare & Medicaid Services (CMS) for LCS reimbursement. To overcome barriers to SDM in primary care, this protocol describes a telehealth decision coaching and navigationintervention for LCS in primary care clinics delivered by patient navigators. The objective of the study is to evaluate the effectiveness of the intervention and its implementation potential, compared with an enhanced usual care (EUC) arm. Patients (n = 420) of primary care clinicians (n = 120) are being recruited to a cluster randomized controlled trial. Clinicians are randomly assigned to 1) TELESCOPE intervention: prior to an upcoming non-acute clinic visit, patients participate in a telehealth decision coaching and navigationsession about LCS delivered by trained patient navigators and nurse navigators place a low-dose CT scan (LDCT) order for each TELESCOPE patient wanting LCS, or 2) EUC: patients receive enhanced usual care from a clinician. Usual care is enhanced by providing clinicians in both arms with access to a Continuing Medical Education (CME) webinar about LCS and an LCS discussion guide. Patients complete surveys at baseline and 1-week after the scheduled clinic visit to assess quality of the SDM process. Re-navigation is attempted with TELESCOPE patients who have not completed the LDCT within 3months. One month before being due for an annual screening, TELESCOPE patients whose initial LCS showed low-risk findings are randomly assigned to receive a telehealth decision coaching booster session with a navigator or no booster. Electronic health records are abstracted at 6, 12 and 18months after the initial decision coaching session (TELESCOPE) or clinic visit (EUC) to assess initial and annual LCS uptake, imaging results, follow-up testing for abnormal findings, cancer diagnoses, treatment, and tobacco treatment referrals. This study will evaluate factors that facilitate or interfere with program implementation using mixed methods. We will assess whether a decision coaching and patient navigation intervention can feasibly and effectivelysupport high-quality SDM for LCS and guideline-concordant LCS uptake for patients in busy primary care practices serving diverse patient populations. This study was registered at ClinicalTrials.gov (NCT05491213) on August 4, 2022. Version 1, April 10, 2024.

Associations of Social Determinants and Community Resilience with Lung Cancer Incidence and Mortality in the US.

Associations of Social Determinants and Community Resilience with Lung Cancer Incidence and Mortality in the US.

EP.01C.01 Evolution of Lung Cancer Mortality Rates in Brazil (1996-2022)

EP.01C.01 Evolution of Lung Cancer Mortality Rates in Brazil (1996-2022)

Disparities in lungcancerscreening utilization attwo health systems in the Southeastern USA.

Low-dose computed tomography lung cancer screening is effective for reducing lung cancer mortality. It is critical to understand the lung cancer screening practices for screen-eligible individuals living in Alabama and Georgia where lung cancer is the leading cause of cancer death. High lung cancer incidence and mortality rates are attributed to high smoking rates among underserved, low income, and rural populations. Therefore, the purpose of this study is to define sociodemographic and clinical characteristicsof patients who were screened for lung cancer at an Academic Medical Center (AMC) in Alabama and a Safety Net Hospital (SNH) in Georgia. A retrospective cohort study of screen-eligible patients was constructed using electronic health records between 2015 and 2020 seen at an Academic Medical Center (AMC) and a Safety Net Hospital (SNH) separately. Chi-square tests and Student t tests were used to compare screening uptake across patient demographic and clinical variables. Bivariate and multivariate logistic regressions determined significant predictors of lung cancer screening uptake. At the AMC, 67,355 were identified as eligible for LCS and 1,129 were screened. In bivariate analyses, there were several differences between those who were screened and those who were not screened. Screening status in the site at Alabama-those with active tobacco use are significantly more likely to be screened than former smokers (OR: 3.208, p < 0.01). For every 10-unit increase in distance, the odds of screening decreased by about 15% (OR: 0.848, p < 0.01). For every 10-year increase in age, the odds of screening decrease by about 30% (OR: 0.704, p < 0.01). Each additional comorbidity increases the odds of screening by about 7.5% (OR: 1.075, p < 0.01). Those with both private and public insurance have much higher odds of screening compared to those with only private insurance (OR: 5.403, p < 0.01). However, those with only public insurance have lower odds of screening compared to those with private insurance (OR: 0.393, p < 0.01). At the SNH-each additional comorbidity increased the odds of screening by about 11.9% (OR: 1.119, p = 0.01). Notably, those with public insurance have significantly higher odds of being screened compared to those with private insurance (OR: 2.566, p < 0.01). The study provides evidence that LCS has not reached all subgroups and that additional targeted efforts are needed to increase lung cancer screening uptake. Furthermore, disparity was noticed between adults living closer to screening institutions and those who lived farther.

Public perspectives on the benefits and harms of lung cancer screening: A systematic review and mixed-method integrative synthesis.

Screening for lung cancer with low dose computed tomography aims to reduce lung cancer mortality, but there is a lack of knowledge about how target populations consider its potential benefits and harms. We conducted a systematic review of primary empirical studies published in any jurisdiction since 2002 using an integrative meta-synthesis technique. We searched six health and social science databases. Two reviewers independently screened titles, abstracts, and potentially eligible full-text studies. Quantitative assessments and open-ended perspectives on benefits and harms were extracted and convergently integrated at analysis using a narrative approach. Study quality was assessed. The review included 26 quantitative, 18 qualitative, and 5 mixed methods studies. Study quality was acceptable. Lung cancer screening was widely perceived to be personally beneficial for early detection and reassurance. Radiation exposure and screening accuracy were recognised as harms, but these were frequently considered to be justified by early detection of lung cancer. Stigma, anxiety, and fear related to screening procedures and results were pervasive among current smokers. People with low incomes reported not participating in screening because of potential out-of-pocket costs and geographic access. Populations targeted for lung cancer screening tended to consider screening as personally beneficial and rationalised physical, but not psychological, harms. Screening programmes should be clear about benefits, use non-stigmatising design, and consider equity as a guiding principle.

Impact of the COVID-19 pandemic on lung cancer diagnoses and mortality: A nationwide study in France

BackgroundDuring the first wave of the COVID-19 pandemic, a reduction in the number of newly diagnosed cases of lung cancer has been reported worldwide, often associated with a higher proportion of cases diagnosed at an advanced stage compared with previous years. MethodsUsing the French National Hospital Database, we investigated incident lung cancer cases and their mortality during pandemic years 2020 and 2021, compared to predictions based on pre-pandemic years 2013–2019. Mortality was assessed up to 24 months following incidence date. Expected numbers of incident cases and all-cause deaths during the pandemic were estimated using Poisson regression models and survival was analyzed using Cox regressions. ResultsThe database included 397,092 incident lung cancer cases in total, 20 % of whom underwent thoracic surgery. During the first pandemic wave (March–June 2020), there were 12 % i.e., 1940 fewer incident lung cancer cases than the expected figure (16,325), while no significant difference was found thereafter. Survival at 6 and 24 months improved steadily from 2013 to 2019 and continued to improve during pandemic years 2020–2021. However, during the first wave, a slight excess mortality was observed compared with predictions based on pre-pandemic trends. ConclusionsThe lower incidence observed during the first wave with no catch-up in the following periods could be explained by deaths among yet undiagnosed patients, either from COVID-19 or as a result of barriers to accessing healthcare. The excess mortality observed for both operated and non-operated patients may be attributable to delayed diagnosis, as well as to COVID-19-related deaths.

Association between family history with lung cancer incidence and mortality risk in the Asia Cohort Consortium.

Family history of lung cancer (FHLC) has been widely studied but most prospective cohort studies have primarily been conducted in non-Asian countries. We assessed the association between FHLC with risk of lung cancer (LC) incidence and mortality in a population of East Asian individuals. A total of 478,354 participants from 11 population-based cohorts in the Asia Cohort Consortium were included. A Cox proportional hazards regression model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). A total of 7,785 LC incident cases were identified. FHLC (any LC subtype) was associated with an increased risk of LC incidence (HR = 1.45, 95% CI = 1.30-1.63). The positive association was observed in men and women (HR = 1.44, 95% CI = 1.26-1.66 in men; HR = 1.47, 95% CI = 1.22-1.79 in women), and in both never-smokers and ever-smokers (HR = 1.43, 95% CI = 1.18-1.73 in never-smokers; HR = 1.46, 95% CI =1.27-1.67 in ever-smokers). FHLC was associated with an increased risk of lung adenocarcinoma (HR = 1.63, 95% CI: 1.36-1. 94),squamous cell carcinoma (HR = 1.88, 95% CI: 1.46-2.44), and other non-small cell LC (HR = 1.94, 95% CI: 1.02-3.68). However, we found no evidence of significant effect modification by sex, smoking status, and ethnic groups. In conclusion, FHLC was associated with increased risk of LC incidence and mortality, and the associations remained consistent regardless of sex, smoking status and ethnic groups among the East Asian population.

Estimated impact of a tobacco-elimination strategy on lung-cancer mortality in 185 countries: a population-based birth-cohort simulation study

The tobacco-free generation aims to prevent the sale of tobacco to people born after a specific year. We aimed to estimate the impact of eliminating tobacco smoking on lung-cancer mortality in people born during 2006-10 in 185 countries. For this population-based birth-cohort simulation study, we proposed a scenario in which tobacco sales were banned for people born between Jan 1, 2006, and Dec 31, 2010, and in which this intervention was perfectly enforced, quantified until Dec 31, 2095. To predict future lung-cancer mortality rates, we extracted lung-cancer mortality data by sex, 5-year age group, and 5-year calendar period for countries with at least 15 years of data from the WHO Mortality Database. For countries for which mortality data were not available, we extracted data on lung-cancer incidence from the Cancer Incidence in Five Continents. To establish the number of lung-cancer deaths that could be prevented in the birth cohort if tobacco smoking was eliminated, we subtracted reported age-specific rate of deaths in people who had never smoked tobacco (hereafter referred to as never smokers) from a previous study from the expected rate of lung-cancer deaths in our birth cohort and applied this difference to the size of the population. We computed population impact fractions (PIFs), the percentage of lung-cancer deaths that could be prevented, by dividing the number of preventable lung-cancer deaths by the expected lung-cancer deaths in the birth cohort. We also aggregated expected and prevented deaths into the four World Bank income groups (ie, high-income, upper-middle-income, lower-middle-income, and low-income). The primary outcome was the impact on lung-cancer mortality of implementing a tobacco-free generation. Our birth cohort included a total population of 650 525 800 people. Globally, we predicted that 2 951 400 lung-cancer deaths could occur in the population born during 2006-10 if lung-cancer rates continue to follow trends observed during the past 15 years. Of these deaths, 1 842 900 (62·4%) were predicted to occur in male individuals and 1 108 500 (37·6%) were expected to occur in female individuals. We estimated that 1 186 500 (40·2%) of 2 951 400 lung-cancer deaths in people born during 2006-10 could be prevented if tobacco elimination (ie, a tobacco-free generation) was achieved. We estimated that more lung-cancer deaths could be prevented in male individuals (844 200 [45·8%] of 1 842 900 deaths) than in female individuals (342 400 [30·9%] of 1 108 500 deaths). In male individuals, central and eastern Europe had the highest PIF (48 900 [74·3%] of 65 800 deaths) whereas in female individuals, western Europe had the highest PIF (56 200 [77·7%] of 72 300 deaths). Middle Africa was the region with the lowest PIF in both male individuals (180 [2·1%] of 8600 deaths) and female individuals (60 [0·9%] of 6400 deaths). In both sexes combined, PIF was 17 400 (13·5%) of 128 900 deaths in low-income countries, 104 900 (15·8%) of 662 800 deaths in lower-middle-income countries, 650 100 (43·9%) of 1 482 200 deaths in upper-middle-income countries, and 414 100 (61·1%) of 677 600 deaths in high-income countries. The implementation of a tobacco-free generation could substantially reduce global lung-cancer mortality. However, data from low-income countries were scarce and our estimates should be interpreted with caution. Spanish Society of Pneumology and Thoracic Surgery.

Long-term exposure to ambient air pollution and risk of lung cancer – A comparative analysis of incidence and mortality in four administrative cohorts in the ELAPSE study

BackgroundStudies have linked air pollution to lung cancer incidence and mortality, but few have compared these associations, which may differ due to cancer survival variations. We aimed to evaluate the association between long-term air pollution exposure and lung cancer incidence and compare findings with previous lung cancer mortality analyses within the same cohorts. MethodsWe analyzed four population-based administrative cohorts in Denmark (2000–2015), England (2011–2017), Norway (2001–2016) and Rome (2001–2015). We assessed residential exposure to annual average fine particulate matter (PM2.5), nitrogen dioxide (NO₂), black carbon (BC), and warm-season ozone (O3) using Europe-wide land use regression models. We used Cox proportional hazard models to evaluate cohort-specific hazard ratios (HRs) and 95% confidence intervals (CIs) for lung cancer incidence identified using hospital admission records (English and Roman cohorts) or cancer registries (Danish and Norwegian cohorts). We evaluated the associations at low exposure levels using subset analyses and natural cubic splines. Cohort-specific HRs were pooled using random-effects meta-analyses, separately for incidence and mortality. ResultsOver 93,733,929 person-years of follow-up, 111,949 incident lung cancer cases occurred. Incident lung cancer was positively associated with PM2.5, NO2 and BC, and negatively associated with O3. The negative O3 association became positive after adjustment for NO2. Associations were almost identical or slightly stronger for lung cancer incidence than mortality in the same cohorts, with respective meta-analytic HRs (95% CIs) of 1.14 (1.06, 1.22) and 1.12 (1.02, 1.22) per 5 μg/m3 increase in PM2.5, and 1.10 (1.04, 1.16) and 1.09 (1.02, 1.16) per 10 μg/m3 increase in NO2. Positive associations persisted for both incidence and mortality at low pollution levels with similar magnitude. ConclusionsWe found similarly elevated risks of lung cancer incidence and mortality in association with residential exposure to PM2.5, NO2 and BC in meta-analyses of four European administrative cohorts, which persisted at low pollution levels.

Patient- and Areal-Level Risk Factors Associated With Lung Cancer Mortality in Victoria, Australia: A Bayesian Spatial Survival Analysis.

In Australia, lung cancer is the leading cause of cancer-related deaths. In Victoria, the mortality risk is assumed to vary across Local Government Areas (LGAs) due to variations in socioeconomic advantage, remoteness, and healthcare accessibility. Thus, we applied Bayesian spatial survival models to examine the geographic variation in lung cancer survival in Victoria. Data on lung cancer cases were extracted from the Victorian Lung Cancer Registry (VLCR). To account for spatial dependence and risk factors of survival in lung cancer patients, we employed a Bayesian spatial survival model. Conditional Autoregressive (CAR) prior was assigned to model the spatial dependence. Deviance Information Criterion (DIC), Watanabe Akaike Information Criterion (WAIC), and Log Pseudo Marginal Likelihood (LPML) were used for model comparison. In the final best-fitted model, the Adjusted Hazard Ratio (AHR) with the 95% Credible Interval (CrI) was reported. The outcome variable was the survival status of lung cancer patients, defined as whether they survived or died during the follow-up period (death was our interest). Our study revealed substantial variations in lung cancer mortality in Victoria. Poor Eastern Cooperative Oncology Group (ECOG) performance status, diagnosed at a regional hospital, Small Cell Lung Cancer (SCLC), advanced age, and advanced clinical stage were associated with a higher risk of mortality, whereas being female, presented at Multidisciplinary Team (MDT) meeting, and diagnosed at a metropolitan private hospital were significantly associated with a lower risk of mortality. Identifying geographical disparities in lung cancer survival may help shape healthcare policy to implement more targeted and effective lung cancer care services.

Intra- and inter-facility experiences of coordinating care for patients with lung cancer in KwaZulu-Natal public health facilities: a qualitative study

Aim Despite evidence that effective cancer care coordination has yielded positive results in facilitating and supporting high-quality care, it remains a complex and challenging system to implement. South Africa’s mortality of lung cancer is reported at 13.4%, ranking highest among all cancers. Coordinating the care of cancer patients is complex and can last several months or years, with multiple consultations, rounds of treatment, and follow-up in various settings. With so many health professionals, services, and settings involved, the care of these patients can become fragmented and uncoordinated. This interface between primary and specialty care offers a valuable opportunity to appreciate the challenges of delivering well-coordinated cancer care. Consequently, this paper explores healthcare professionals’ perspectives on coordinating lung cancer care within and between healthcare services. Methods This study was conducted through virtual, telephonic, and face-to-face in-depth interviews with 26 purposively selected participants from primary to tertiary health professionals, using a semi-structured tool and drawing from grounded theory design. Data generation and analysis were conducted iteratively, followed by systematic thematic analysis to organise data, review, and interpret the findings. Findings The overall public health system challenges reported by participants involved service fragmentation, staff shortages, and communication problems. Drivers of lack of care coordination varied widely across healthcare professionals, with interoperability and communication challenges standing out as the most prominent themes. Consequently, better communication, interoperability, and improved care transitions between providers and health systems were proposed. This study provides pertinent information for policymakers and healthcare professionals to develop appropriate strategies for improving cancer care coordination interventions. Conclusions A fundamental change is required to shift the direction of the KwaZulu-Natal public health system towards responsive, patient-centred, comprehensive, and coordinated care. Enabling the primary healthcare level to play a substantial role in care coordination may provide a plausible intervention to circumvent healthcare complexities.

MA13.05 The Impact of Tobacco Control on Lung Cancer Mortality Across 48 Countries

MA13.05 The Impact of Tobacco Control on Lung Cancer Mortality Across 48 Countries

Increasing access to biomarker-driven treatment for lung cancer in Alabama: The Alabama Access initiative.

159 Background: Lung cancer is the leading cause of cancer death in Alabama, with an estimated 2,550 deaths in 2024. Non-small cell lung cancer (NSCLC) represents 85% of these cases. Despite national guidelines recommending comprehensive biomarker testing (CBT) for metastatic NSCLC, significant disparities persist in the utilization of CBT and targeted therapies among Alabama residents. Methods: In March 2024, we launched the "Alabama Access" initiative – a partnership between the LUNGevity Foundation and the O’Neal Comprehensive Cancer Center at the University of Alabama at Birmingham – to foster academic and community oncology partnerships to increase access to biomarker-driven treatments. We used a population health science and geospatial mapping approach to visualize oncology practices serving counties with Alabama's highest lung cancer burden. Practices in Walker, Dothan, Marengo, Morgan, Jackson, Marshall, and Montgomery counties were identified as the highest priority based on annual mortality rates. Key interventions will include virtual molecular tumor boards and oncology navigation to facilitate the integration of resources and expertise and ensure that patients in nonacademic practices benefit from the latest advances in precision oncology. After roll-out, we will collect feasibility and acceptability data around program integration. Results: Our analysis revealed that 62.0% of the state’s population resides in Primary Care Health Professional Shortage Areas (HPSAs), and 58 out of 67 counties are classified as Medically Underserved Areas. The poverty rate in 89.6% of counties surpasses the national average, contributing to higher lung cancer incidence and mortality rates, with 62.0% of cases diagnosed at advanced stages. The state also shows a higher smoking prevalence, affecting 97.0% of counties compared to national figures. We will present practice-level testing data, including barriers to CBT. Conclusions: This pilot aims to mitigate disparities in CBT through enhanced collaboration between academic and community oncology settings. Integrating molecular navigation into community practices will be pivotal in disseminating program information and collecting data on current testing practices to improve overall lung cancer care quality in Alabama.