High-risk Smokers Research Articles

Abstract LB136: Global metabolomics identified promising biomarkers for lung cancer risk among former smokers

Abstract Purpose: We comprehensively searched the plasma metabolome to identify biomarkers related to lung cancer risk among former smokers using pre-diagnostic blood samples collected in two prospective cohort studies: the Shanghai Men’s Health Study and the Southern Community Cohort Study. Methods: This nested case-control study includes 237 lung cancer cases and 237 controls individually matched on age, sex, race, smoking pack-year, years since quitting smoking, and blood collection time. The plasma metabolites were measured using Metabolon’s Global Discovery Panel. Values of metabolites were log-transformed and compared between cases and controls using the two-tailed paired T-test. Associations of metabolites with lung cancer risk at a False Discovery Rate adjusted p-value (P-FDR) of <0.10 were considered statistically significant. Conditional logistic regression was used to evaluate the association between metabolites and lung cancer risk with adjustment for diabetes, BMI, alcohol use, physical activity, educational level, pack years, time since last meal, and time since quitting smoking. The odds ratios were reported per standard deviation increment. A subsequent backward selection of conditional logistic regression was conducted. The analysis was then stratified by race (Asian, Black, and White), years since quitting (≤8 years and >8 years), and interval from blood draw to diagnosis (≤6 years and >6 years). Results: We found that 45 plasma metabolites were significantly associated with lung cancer risk (p-FDR<0.10), including 11 in amino acids, 3 in nucleotides, 2 in peptides, 1 in carbohydrates, 7 in lipids, 2 in energy, 2 in xenobiotics, 2 in the partially characterized pathway, and 15 unknown metabolites. Nine metabolites remained statistically significant in the backward selection model. Among them, metabolites significantly associated with increased odds of lung cancer were S-carboxyethylcysteine (OR=1.40; 95% CI: 1.06-1.84), alpha-ketoglutarate (OR=1.60; 95% CI: 1.19-2.16), myristoleoylcarnitine (OR=1.67; 95% CI: 1.27-2.21), 2-hydroxyhippurate (salicylurate) (OR=1.58; 95% CI: 1.16-2.15), gamma-glutamylglutamine (OR=1.68; 95%CI: 1.09-2.61), and an unknown metabolite X-23780 (OR=1.29; 95% CI: 1.00-1.67). Conversely, ceramide (OR=0.60; 95% CI; 0.43-0.82), homoarginine (OR=0.66; 95% CI: 0.49-0.89), and an unknown metabolite X-16935 (OR=0.53; 95% CI= 0.37-0.77) were significantly associated with lower odds of lung cancer. The associations did not vary significantly by race, years since quitting, or interval from blood draw to diagnosis. Conclusion: Several plasma metabolites were associated with lung cancer risk among former smokers. These associations were consistent across race, interval from blood draw to diagnosis, and years since quitting smoking, representing promising biomarkers for identification of high-risk former smokers for lung cancer screening. Citation Format: Thuraya Al-Sayegh, Wanqing Wen, Jie Wu, Wei Zheng, Xiao-Ou Shu, Qiuyin Cai. Global metabolomics identified promising biomarkers for lung cancer risk among former smokers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB136.

Association between Socioecological Status, Nutrient Intake, and Cancer Screening Behaviors in Adults Aged 40 and Over: Insights from the Eighth Korea National Health and Nutrition Examination Survey (KNHANES, 2019).

Cancer screening is pivotal for early detection and improved survival rates. While socio-ecological factors are known to influence screening uptake, the role of lifestyle, dietary habits, and general health in shaping these decisions remains underexplored. Utilizing the 2019 Korea National Health and Nutrition Examination Survey (KNHANES), this study examined the myriad of factors impacting cancer screening utilization. Data from 274,872 adults aged 40 years or older were scrutinized, highlighting demographics, income, lifestyle behaviors, health-related variables, nutrient intake, and dietary quality. A combination of descriptive statistics and logistic regression helped us ascertain influential determinants. Higher educational attainment and income quartiles were positively correlated with cancer screening rates. Regular walkers, those engaged in moderate physical activity, and individuals with a previous cancer diagnosis were more likely to get screened. High-risk drinkers and smokers were less inclined towards screening. Dietary habits also influenced screening decisions. Notably, participants with healthier eating behaviors, indicated by factors such as regular breakfasts and fewer meals out, were more likely to undergo screening. Additionally, nutrient intake analysis revealed that those who had undergone screening consumed greater quantities of most nutrients, bar a few exceptions. For individuals aged 50-64, nutritional assessment indicators highlighted a higher mean adequacy ratio (MAR) and index of nutritional quality (INQ) value among those who participated in screening, suggesting better nutritional quality. This study elucidates the complex socio-ecological and nutritional landscape influencing cancer screening decisions. The results underscore the importance of a holistic approach, emphasizing lifestyle, dietary habits, and socio-economic considerations. It provides a roadmap for policymakers to craft more inclusive screening programs, ensuring equal access and promoting early detection.

Abstract 749: Randomized placebo-controlled phase II clinical trial on oral supplementation of sulforaphane for 12 months that reduced bronchial Ki-67 index in former smokers at high risk for lung cancer

Abstract Background: Epidemiological studies showed higher intake of cruciferous vegetables or their active compounds, isothiocyanates (ITCs), with lower risk of lung cancer. ITCs inhibited tobacco-carcinogen induced lung adenocarcinoma in animal models, along with reduced cellular proliferative marker Ki-67 and increased apoptotic markers Caspase-3 and TUNEL. However, human data lack. The aim of our study was to assess if oral intake of sulforaphane (SFN) for 12 months would stop/reverse the progression of bronchial histopathology, reduce Ki-67 index and/or increase Caspase-3 and TUNEL indices. Methods: A randomized clinical trial (NCT03232138) was conducted in former smokers with ≥ 30 pack-years and quitting smoking for 1-10 years in USA. Forty-three subjects were randomly assigned to the SFN (n = 21) or placebo group (n = 22) in 2018-2022. Each participant was instructed to take 4 Avmacol® or identical placebo capsules BID for 12 months. Each Avmacol® capsule contained 15 mg of glucoraphanin, which yielded a daily internal dose of 120 μmol SFN. Biopsies were collected from 6 predetermined bronchial sites at baseline and the end of treatment, respectively. The primary outcomes were the average changes of histopathology scores, Ki-67, Caspase-3 and TUNEL indices in post- vs. pre-treatment biopsies. Results: Thirty-seven participants completed the study. In the SFN group (n = 17) at baseline, 13 were men, all white, mean age 64.1 (SD 5.3) years, body mass index (BMI) 30.6 (6.1) kg/m2, years of smoking 39.5 (8.2), cigarettes per day (CPD) 23.8 (10.7), and years of quitting smoking 4.3 (2.9). The corresponding figures in the placebo group (n=20) were 9 men, 19 white, age 68.0 (3.2), BMI 28.6 (4.2), years of smoking 42.2 (4.5), CPD 25.5 (8.4), and years of quitting smoking 6.8 (3.2). The baseline medians of total Ki-67 positive nuclei were 22.3 nuclei/mm2 in the SFN group and 22.9/mm2 in the placebo group (p = 0.96). After treatment, the number of positive Ki-67 nuclei decreased by 5.3/mm2 (-24%) in the SFN group and increased by 18.0/mm2 (+79%) in the placebo group (p = 0.014) with adjustment for baseline Ki-67 and other covariates. The post- and pre-treatment difference was even greater in high-density (3+) positive Ki-67, with -46% decrease in the SFN group vs. +99% increase in the placebo group (p = 0.004). There was a dose-response effect of higher compliance with SFN intake on reducing Ki-67 index (ptrend = 0.01). SFN treatment had no impact on Caspase-3, TUNEL, or bronchial histopathology. No severe adverse event was observed in the SFN group. Conclusion: Daily intake of 120 μmol SFN for 12 months significantly reduced Ki-67 index in bronchial tissue. The findings support the potential chemopreventive effect of SFN against lung cancer development in high-risk former smokers (Grant # R01CA213123). Citation Format: Jian-Min Yuan, Thomas W. Kensler, Sanja Dacic, Douglas J. Harman, Renwei Wang, Paula Balogh, Lindsey Seigh, Yen T-H Pham, Jennifer Adams-Haduch, Shivendra Singh, James G. Herman, Avrum Spira, David O. Wilson. Randomized placebo-controlled phase II clinical trial on oral supplementation of sulforaphane for 12 months that reduced bronchial Ki-67 index in former smokers at high risk for lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 749.

Longitudinal clustering of health behaviours and their association with multimorbidity in older adults in England: A latent class analysis.

Health-risk behaviours such as smoking, unhealthy nutrition, alcohol consumption, and physical inactivity (termed SNAP behaviours) are leading risk factors for multimorbidity and tend to cluster (i.e. occur in specific combinations within distinct subpopulations). However, little is known about how these clusters change with age in older adults, and whether and how cluster membership is associated with multimorbidity. Repeated measures latent class analysis using data from Waves 4-8 of the English Longitudinal Study of Ageing (ELSA; n = 4759) identified clusters of respondents with common patterns of SNAP behaviours over time. Disease status (from Wave 9) was used to assess disorders of eight body systems, multimorbidity, and complex multimorbidity. Multinomial and binomial logistic regressions were used to examine how clusters were associated with socio-demographic characteristics and disease status. Seven clusters were identified: Low-risk (13.4%), Low-risk yet inactive (16.8%), Low-risk yet heavy drinkers (11.4%), Abstainer yet inactive (20.0%), Poor diet and inactive (12.9%), Inactive, heavy drinkers (14.5%), and High-risk smokers (10.9%). There was little evidence that these clusters changed with age. People in the clusters characterised by physical inactivity (in combination with other risky behaviours) had lower levels of education and wealth. People in the heavy drinking clusters were predominantly male. Compared to other clusters, people in the Low-risk and Low-risk yet heavy drinkers had a lower prevalence of all health conditions studied. In contrast, the Abstainer but inactive cluster comprised mostly women and had the highest prevalence of multimorbidity, complex multimorbidity, and endocrine disorders. High-risk smokers were most likely to have respiratory disorders. Health-risk behaviours tend to be stable as people age and so ought to be addressed early. We identified seven clusters of older adults with distinct patterns of behaviour, socio-demographic characteristics and multimorbidity prevalence. Intervention developers could use this information to identify high-risk subpopulations and tailor interventions to their behaviour patterns and socio-demographic profiles.

Stakeholders' Voices of Lung Cancer Screening in Hong Kong: Study Protocol for a Mixed Methods Study.

Introduction: This study aims to (1) explore physicians' perceptions and experiences of lung cancer screening in Hong Kong, (2) evaluate physicians' readiness of implementing lung cancer screening in Hong Kong, (3) explore high-risk smokers' health beliefs of lung cancer and screening, (4) identify barriers and facilitators for high-risk Hong Kong smokers to screening for lung cancer, and (5) validate the Chinese Lung Cancer Screening Health Belief Scale in relation to high-risk smokers in Hong Kong. Methods and analysis: A mixed methods design will be used in this study. Individual qualitative interviews will be conducted with physicians who have experience with high-risk smokers. Physicians' perceptions and experiences of lung cancer screening, and their readiness to accept lung cancer screening in Hong Kong, will be gathered through the qualitative interviews. A semi-structured interview guide will be used in the qualitative interviews. In addition, a quantitative survey with qualitative questions will be conducted on high-risk smokers to investigate their health beliefs of lung cancer and screening and barriers and facilitators for them to screening lung cancer. A lung cancer screening health belief scale, sociodemographic questionnaire, smoking and lung cancer screening history questionnaire, lung cancer and screening knowledge questionnaire, lung cancer stigma scale, generalized anxiety disorder scale, patient health questionnaire-9, patients' medical trust scale and preferred lung cancer screening intervention delivery questionnaire will be conducted in the quantitative survey. Constant comparison and content analysis will be used to analyze the qualitative data. Descriptive data analysis, validity and reliability analysis, one-way analysis of variance and post hoc analyses will be used to analyze quantitative data. Discussions: This study explores physicians' and high-risk smokers' perceptions and experiences toward lung cancer screening in Hong Kong. Findings from this study can help healthcare providers and policy makers become aware of the stakeholder's voices. In addition, these findings can help to inform the design of future interventional lung cancer screening programs and provide a tool to measure Chinese high-risk smokers' health beliefs toward lung cancer screening. A major limitation of this mixed methods study is the amount of time taken to complete the overall study. Also, its complexity requires more collaboration and networking among researchers. Ethics and dissemination: This study has minimal risk to the participants. It will be submitted to the university IRB for ethical approval. Findings related to physicians' perceptions and experiences of lung cancer screening in Hong Kong, physicians' readiness of implementing lung cancer screening, high-risk smokers' health beliefs of lung cancer and screening, barriers, and facilitators for high-risk Hong Kong smokers to screening lung cancer will be disseminated in journals and conferences. The reliability and validity of the Chinese lung cancer screening health belief scale will be reported in methodological research journals.

Biomarkers for monoclonal antibody targeting EGFR in NSCLC: Challenges, current status, and future perspectives

Targeting EGFR has a long history in the treatment of non-small cell lung cancer (NSCLC). It was around the 2000s that it was reported that EGFR protein expression increased with bronchial dysplasia in high-risk smokers and patients with lung cancer. However, EGFR inhibitors were not effective in unselected patients with advanced NSCLC. After the identification of sensitizing EGFR mutations, tyrosine kinase inhibitors became the cornerstone of treatment for patients with EGFR-mutated NSCLC. However, other drugs were developed to target EGFR in the EGFR-wild type population, such as monoclonal antibodies. Cetuximab is an anti-EGFR monoclonal antibody, and has been a focus over the past two decades. Though not approved in NSCLC due to marginal and inconsistent effects in phase 3 trials, research aimed to discover biomarkers to identify a subgroup of the population that might benefit. This includes a composite score that evaluates histology, immunohistochemistry, and gene copy amplification. This article reviews the history of the development and discontinuation of monoclonal antibodies in NSCLC and discusses the role of biomarkers in the treatment of advanced EGFR-wild type NSCLC.

FACTORS ASSOCIATED WITH LOW-DOSE COMPUTED TOMOGRAPHY LUNG CANCER SCREENING IN THE UNITED STATES

Abstract Low-dose computed tomography (LDCT) screening is recommended for high-risk smokers to decrease lung cancer-related mortality. In the US, the uptake of LDCT screening among eligible smokers is suboptimal. The impacts of social-environmental and individual factors on LDCT screening uptake are not clear. The current study investigated multi-level factors associated with the utilization of LDCT screening using national data. Methods: The 2017-2021 Behavioral Risk Factor Surveillance System (BRFSS) data and other state-level variables (Medicaid expansion status and the number of screening facilities) were applied. Our study outcome is the utilization of LDCT screening among study participants who met the US Preventive Services Task Force guidelines for lung cancer screening. The final study sample consisted of 15640 respondents from 29 states. All analyses were weighted to account for the complex sampling design applied in BRFSS. Results: The overall utilization rate of LDCT screening is only 18.4%. The LDCT utilization rate varied by state (6.2 -31.1%). Among the respondents, individuals who were employed, never married, had good health status, didn’t have personal physician, experienced cost problems, never had routine checkups, and did not experience certain chronic conditions (cancer, asthma, COPD) had a lower utilization rate of LDCT screening compare with their counterpart. Conclusion: Utilization of LDCT screening among eligible smokers remains low. Risk factors associated with LDCT screening identified from this study can be used to guide future lung cancer screening programs or revise the LDCT screening guidelines to meet the needs of high-risk smokers.

Examination of provider knowledge, attitudes, and behaviors associated with lung cancer screening among Black men receiving care at a federally qualified health center.

The study's goal was to look at providers' knowledge, attitudes, and behaviors regarding lung cancer screening among Black male smokers served by a federally qualified healthcare center. Participants in the study were interviewed in depth. Participants completed a short (5-10 minute) survey that assessed demographics, training, and attitudes toward lung cancer screening. For quantitative data, descriptive statistics were used, and for qualitative data, deductive thematic analysis was used. This study included ten healthcare professionals, the majority of whom identified as Black (80%) and were trained as advanced practice providers (60%). The majority of providers (90%) have heard of LDCT lung cancer screening; however, participants reported only being "somewhat" familiar with the LDCT eligibility criteria (70%). Despite generally positive attitudes toward LDCT, patient referral rates for screening were low. Barriers included a lack of provider knowledge about screening eligibility, a lack of use of shared decision-making tools, and patient concerns about screening risks. The reasons for the low referral rates varied, but they included a preference to refer patients for smoking cessation rather than screening, low screening completion and follow-up rates among referred patients, and a lower likelihood that Black smokers will meet pack-year requirements for screening. Additionally, providers discussed patient-level factors such as a lack of information, mistrust, and transportation. The study findings add to the body of knowledge about lung cancer knowledge and screening practices among providers in FQHC settings. This data can be used to create health promotion interventions aimed at smoking cessation and lung cancer screening in Black males and other high-risk smokers.

P1.17-03 Cost-effectiveness of Low-dose Computerized Tomography Lung Cancer Screening in High-risk Non-smokers and Smokers in Hong Kong

P1.17-03 Cost-effectiveness of Low-dose Computerized Tomography Lung Cancer Screening in High-risk Non-smokers and Smokers in Hong Kong

Longitudinal clustering of risk behaviours and their association with multimorbidity in older adults

Abstract Smoking, unhealthy nutrition, alcohol consumption, and physical inactivity (SNAP risk behaviours) are leading risk factors for multimorbidity and tend to cluster within specific subpopulations. Little is known about how these clusters change with age in older adults and their association with multimorbidity. Repeated measures latent class analysis using data from Waves 4-8 of the English Longitudinal Study of Ageing (n = 4759) identified clusters of respondents with common patterns of SNAP behaviours over time. Disease status (from Wave 9) was used to assess eight body system disorders, multimorbidity, and complex multimorbidity. Logistic regressions examined how clusters were associated with socio-demographic characteristics and disease status. Seven clusters were identified: Low-risk (13.4%), Low-risk yet inactive (16.8%), Low-risk yet heavy drinkers (11·4%), Abstainer yet inactive (20%), Poor diet and inactive (12.9%), Inactive, heavy drinkers (14.5%), and High-risk smokers (10·9%). There was little evidence these clusters changed with age. Clusters characterised by physical inactivity (in combination with other risky behaviours) were associated with lower levels of education and wealth. The heavy drinking clusters were predominantly male. Compared to other clusters, Low-risk and Low-risk yet heavy drinkers had a lower prevalence of all diseases studied. In contrast, the Abstainer but inactive cluster comprised mostly women and had the highest prevalence of multimorbidity, complex multimorbidity, and endocrine disorders. High-risk smokers were most likely to have respiratory disorders. Health-risk behaviours tend to be stable as people age and ought to be addressed early. By identifying seven clusters of older adults with distinct behaviour patterns, socio-demographic characteristics, and disease prevalence, our study provides valuable information for identifying high-risk subpopulations and tailoring interventions to their behaviour patterns and socio-demographic profiles. Key messages • We identified seven clusters of older adults with distinct behaviour patterns, socio-demographic characteristics and disease prevalence. • Health-risk behaviours tend to be stable as people age and ought to be addressed early.

A plasma miRNA-based classifier for small cell lung cancer diagnosis.

Small cell lung cancer (SCLC) is characterized by poor prognosis and challenging diagnosis. Screening in high-risk smokers results in a reduction in lung cancer mortality, however, screening efforts are primarily focused on non-small cell lung cancer (NSCLC). SCLC diagnosis and surveillance remain significant challenges. The aberrant expression of circulating microRNAs (miRNAs/miRs) is reported in many tumors and can provide insights into the pathogenesis of tumor development and progression. Here, we conducted a comprehensive assessment of circulating miRNAs in SCLC with a goal of developing a miRNA-based classifier to assist in SCLC diagnoses. We profiled deregulated circulating cell-free miRNAs in the plasma of SCLC patients. We tested selected miRNAs on a training cohort and created a classifier by integrating miRNA expression and patients' clinical data. Finally, we applied the classifier on a validation dataset. We determined that miR-375-3p can discriminate between SCLC and NSCLC patients, and between SCLC and Squamous Cell Carcinoma patients. Moreover, we found that a model comprising miR-375-3p, miR-320b, and miR-144-3p can be integrated with race and age to distinguish metastatic SCLC from a control group. This study proposes a miRNA-based biomarker classifier for SCLC that considers clinical demographics with specific cut offs to inform SCLC diagnosis.

Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study.

Risk-based screening for lung cancer is currently being considered in several countries; however, the optimal approach to determine eligibility remains unclear. Ensemble machine learning could support the development of highly parsimonious prediction models that maintain the performance of more complex models while maximising simplicity and generalisability, supporting the widespread adoption of personalised screening. In this work, we aimed to develop and validate ensemble machine learning models to determine eligibility for risk-based lung cancer screening. For model development, we used data from 216,714 ever-smokers recruited between 2006 and 2010 to the UK Biobank prospective cohort and 26,616 high-risk ever-smokers recruited between 2002 and 2004 to the control arm of the US National Lung Screening (NLST) randomised controlled trial. The NLST trial randomised high-risk smokers from 33 US centres with at least a 30 pack-year smoking history and fewer than 15 quit-years to annual CT or chest radiography screening for lung cancer. We externally validated our models among 49,593 participants in the chest radiography arm and all 80,659 ever-smoking participants in the US Prostate, Lung, Colorectal and Ovarian (PLCO) Screening Trial. The PLCO trial, recruiting from 1993 to 2001, analysed the impact of chest radiography or no chest radiography for lung cancer screening. We primarily validated in the PLCO chest radiography arm such that we could benchmark against comparator models developed within the PLCO control arm. Models were developed to predict the risk of 2 outcomes within 5 years from baseline: diagnosis of lung cancer and death from lung cancer. We assessed model discrimination (area under the receiver operating curve, AUC), calibration (calibration curves and expected/observed ratio), overall performance (Brier scores), and net benefit with decision curve analysis. Models predicting lung cancer death (UCL-D) and incidence (UCL-I) using 3 variables-age, smoking duration, and pack-years-achieved or exceeded parity in discrimination, overall performance, and net benefit with comparators currently in use, despite requiring only one-quarter of the predictors. In external validation in the PLCO trial, UCL-D had an AUC of 0.803 (95% CI: 0.783, 0.824) and was well calibrated with an expected/observed (E/O) ratio of 1.05 (95% CI: 0.95, 1.19). UCL-I had an AUC of 0.787 (95% CI: 0.771, 0.802), an E/O ratio of 1.0 (95% CI: 0.92, 1.07). The sensitivity of UCL-D was 85.5% and UCL-I was 83.9%, at 5-year risk thresholds of 0.68% and 1.17%, respectively, 7.9% and 6.2% higher than the USPSTF-2021 criteria at the same specificity. The main limitation of this study is that the models have not been validated outside of UK and US cohorts. We present parsimonious ensemble machine learning models to predict the risk of lung cancer in ever-smokers, demonstrating a novel approach that could simplify the implementation of risk-based lung cancer screening in multiple settings.

Increasing Lung Cancer Screening for High-Risk Smokers in a Frontier Population.

Northern Plains American Indians (AIs) have some of the highest smoking and lung cancer mortality rates in the USA. They are a high-risk population in which many are eligible for low-dose computed tomography (LDCT) screening, but such screening is rarely used. This study investigated methods to increase LDCT utilization through both a provider and community intervention to lower lung cancer mortality rates. This study used the Precaution Adoption Model for provider and community interventions implemented in four study regions in western South Dakota. The goal was to increase LDCT screening for eligible participants. Intake surveys and LDCT screenings were compared at baseline and 6months following the education programs for both interventions. A total of 131 providers participated in the provider intervention. At the 6-month follow-up survey, 31 (63%) referred at least one patient for LDCT (p < 0.05). Forty (32.3%) community participants reported their provider recommended an LDCT and of those, 30(75%) reported getting an LDCT (p < 0.05). A total of 2829 patient surveys were completed at the imaging sites and most (88%, n = 962) cited provider recommendation as their reason for obtaining an LDCT. Almost half (46%; n = 131) of the referring providers attended a provider education workshop, and 73% of the providers worked at a clinic that hosted at least one community education session. Over the study period, LDCT utilization increased from 640 to 1706, a 90.9% increase. The provider intervention had the strongest impact on LDCT utilization. This study demonstrated increased LDCT utilization through the provider intervention but increases also were documented for the other intervention combinations. The community-based education program increased both community and provider awareness on the value of LDCTs to lower lung cancer mortality rates.

Vertebral CT attenuation outperforms standard clinical fracture risk prediction tools in detecting osteoporotic disease in lung cancer screening participants.

Compare accuracy of vertebral Hounsfield Unit (VHU) attenuation and FRAX and Garvan Fracture Risk Calculators in identifying low bone mineral density (BMD) and prevalent vertebral compression fractures (VF) in lung cancer screening (LCS) participants. Baseline CT scans from a single site of the International Lung Screen Trial were analysed. BMD was measured using VHU (of the most caudally imaged vertebra) and quantitative CT (QCT) (low BMD defined as <110 HU and <120 mg/cm3, respectively). Prevalent VF were classified semi-quantitatively. 10-year FRAX and Garvan fracture risks were calculated using dual energy X-ray absorptiometry (DXA) femoral neck T-score where available. Discrimination was assessed by area under receiver-operating characteristic curves (AUC). 535 LCS participants were included; 41% had low VHU-BMD, 56% had low QCT-BMD and 10% had ≥1 VF with ≥25% vertebral height loss. VHU demonstrated 94% specificity and 70% sensitivity in identifying low QCT-BMD. VHU was superior to fracture risk tools in discriminating low QCT-BMD (AUC: VHU 0.94 vs FRAX 0.67, Garvan 0.64 [p < 0.05]). In 64 participants with recent DXA scans, VHU was superior to FRAXT-score and GarvanT-score in discriminating low QCT-BMD (AUC: VHU 0.99, FRAXT-score 0.71, GarvanT-score 0.71 [p < 0.05]). VHU was non-inferior to FRAXT-score and GarvanT-score in discriminating VF (AUC: VHU 0.65, FRAXT-score 0.53, GarvanT-score 0.61). VHU outperforms clinical risk calculators in detecting low BMD and discriminates prevalent VF equally well as risk calculators with T-scores, yet is significantly simpler to perform. VHU measurement could aid osteoporosis assessment in high-risk smokers undergoing LCS.

Determinants of Willingness to Undergo Lung Cancer Screening among High-Risk Current and Ex-smokers in Sabah, Malaysia: A Cross-Sectional Pilot Study.

Attitudes towards smoking, lung cancer screening, and perceived risk of lung cancer have not been widely studied in Malaysia. The primary objective of this study was to describe the factors affecting the willingness of high-risk current smokers and ex-smokers to undergo low-dose computed tomography (LDCT) screening for lung cancer. A prospective, cross-sectional questionnaire study was conducted in current smokers or ex-smokers aged between 55 and 80 years at three hospitals in Kota Kinabalu, Sabah, Malaysia. The questionnaire recorded the following parameters: perceived lung cancer risk; Prostate Lung Colon Ovarian Cancer 2012 risk prediction model excluding race and ethnicity predictor (PLCOm2012norace); demographic characteristics; psychosocial characteristics; and attitudes towards lung cancer and lung cancer screening. A vast majority of the 95 respondents (94.7%) indicated their willingness to undergo screening. Stigma of lung cancer, low levels of knowledge about lung cancer symptoms, concerns about financial constraints, and a preference for traditional medication were still prevalent among the respondents, and they may represent potential barriers to lung cancer screening uptake. A desire to have an early diagnosis (odds ratio [OR], 11.33; 95% confidence interval [CI], 1.53 to 84.05; p=0.02), perceived time constraints (OR, 3.94; 95% CI, 1.32 to 11.73; p=0.01), and proximity of LDCT screening facilities (OR, 14.33; 95% CI, 1.84 to 111.4; p=0.01) had significantly higher odds of willingness to undergo screening. Although high-risk current smokers and ex-smokers are likely to undergo screening for lung cancer, several psychosocial barriers persist. The results of this study may guide the policymakers and clinicians regarding the need to improve lung cancer awareness in our population.

Dual and Poly Use of Tobacco Products in a Sample of Pregnant Smokers: A Cross-sectional Study

ObjectivesOur aim was to assess the use of dual/poly tobacco in a sample of pregnant women. Design: cross-sectional survey.MethodsTwenty prenatal care units in Botucatu, Sao Paulo, Brazil. We evaluated 127 high-risk pregnant smokers during prenatal care. Those who were 12–38 weeks pregnant and were currently smoking conventional cigarettes. The study enrollment took place between January 2015 and December 2015. The dual/poly prevalence of tobacco products during pregnancy and the characteristics related to smoking in pregnant smokers through a specific questionnaire containing questions related to sociodemographic characteristics, comorbidities, gestational history, smoking history, secondhand smoke exposure, nicotine dependence, motivation stage and use of alternative forms of tobacco.ResultsMean age was 26.9 ± 6.6 years, most had only elementary education and belonged to lower income economic groups. Twenty-five (19.7%) smoked conventional cigarettes only while 102 used conventional and alternative forms of tobacco products. Smoking pack-years was significantly lower in those only smoking conventional cigarettes than in dual/poly users. Proportion of patients with elevated degree of nicotine dependence was higher in conventional cigarettes users. On the other side, alcohol intake was higher in dual/poly smokers when compared to conventional cigarettes group. The alternative forms of smoking were associated with significantly higher occurrences of comorbidities as pulmonary, cardiovascular and cancer.Conclusions for PracticeThe prevalence of alternative forms users of smoking products is high during pregnancy. These data reinforce the importance of a family approach towards smoking in pregnant women and education about the risks of alternative forms of tobacco.

Lung Cancer Screening in Asia: An Expert Consensus Report

IntroductionThe incidence and mortality of lung cancer are highest in Asia compared with Europe and USA, with the incidence and mortality rates being 34.4 and 28.1 per 100,000 respectively in East Asia. Diagnosing lung cancer at early stages makes the disease amenable to curative treatment and reduces mortality. In some areas in Asia, limited availability of robust diagnostic tools and treatment modalities, along with variations in specific health care investment and policies, make it necessary to have a more specific approach for screening, early detection, diagnosis, and treatment of patients with lung cancer in Asia compared with the West. MethodA group of 19 advisors across different specialties from 11 Asian countries, met on a virtual Steering Committee meeting, to discuss and recommend the most affordable and accessible lung cancer screening modalities and their implementation, for the Asian population. ResultsSignificant risk factors identified for lung cancer in smokers in Asia include age 50 to 75 years and smoking history of more than or equal to 20 pack-years. Family history is the most common risk factor for nonsmokers. Low-dose computed tomography screening is recommended once a year for patients with screening-detected abnormality and persistent exposure to risk factors. However, for high-risk heavy smokers and nonsmokers with risk factors, reassessment scans are recommended at an initial interval of 6 to 12 months with subsequent lengthening of reassessment intervals, and it should be stopped in patients more than 80 years of age or are unable or unwilling to undergo curative treatment. ConclusionsAsian countries face several challenges in implementing low-dose computed tomography screening, such as economic limitations, lack of efforts for early detection, and lack of specific government programs. Various strategies are suggested to overcome these challenges in Asia.

Disparity in Lung Cancer Screening Among Smokers and Nonsmokers in China: Prospective Cohort Study.

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality in smokers; however, the evidence in nonsmokers is scarce. This study aimed to evaluate the participant rate and effectiveness of one-off LDCT screening for lung cancer among smokers and nonsmokers. A population-based prospective cohort study was performed to enroll participants aged between 40 and 74 years from 2013 to 2019 from 4 cities in Zhejiang Province, China. Participants who were evaluated as having a high risk of lung cancer from an established risk score model were recommended to undergo LDCT screening. Follow-up outcomes were retrieved on June 30, 2020. The uptake rate of LDCT screening for evaluated high-risk participants and the detection rate of early-stage lung cancer (stage 0-I) were calculated. The lung cancer incidence, lung cancer mortality, and all-cause mortality were compared between the screened and nonscreened groups. At baseline, 62.56% (18,818/30,079) of smokers and 6% (5483/91,455) of nonsmokers were identified as high risk (P<.001), of whom 41.9% (7885/18,818) and 66.31% (3636/5483) underwent LDCT screening (P<.001), respectively. After a median follow-up of 5.1 years, 1100 lung cancer cases and 456 all-cause death cases (116 lung cancer death cases) were traced. The proportion of early-stage lung cancer among smokers was 60.3% (173/287), which was lower than the proportion of 80.3% (476/593) among nonsmokers (P<.001). Among smokers, a higher proportion was found in the screened group (72/106, 67.9%) than the nonscreened group (56/114, 49.1%; P=.005), whereas no significance was found (42/44, 96% vs 10/12, 83%; P=.20) among nonsmokers. Compared with participants who were not screened, LDCT screening in smokers significantly increased lung cancer incidence (hazard ratio [HR] 1.39, 95% CI 1.09-1.76; P=.007) but reduced lung cancer mortality (HR 0.52, 95% CI 0.28-0.96; P=.04) and all-cause mortality (HR 0.47, 95% CI 0.32-0.69; P<.001). Among nonsmokers, no significant results were found for lung cancer incidence (P=.06), all-cause mortality (P=.89), and lung cancer mortality (P=.17). LDCT screening effectively reduces lung cancer and all-cause mortality among high-risk smokers. Further efforts to define high-risk populations and explore adequate lung cancer screening modalities for nonsmokers are needed.

Low-dose computed tomography for lung cancer screening in Anhui, China: A randomized controlled trial.

Lung cancer is the leading cause of cancer-related death worldwide, with risk factors such as age and smoking. Low-dose computed tomography screening can reduce lung cancer mortality. However, its effectiveness in Asian populations remains unclear. Most Asian women with lung cancer are non-smokers who have not been screened. We conducted a randomized controlled trial to evaluate the performance of low-dose computed tomography screening in a Chinese population, including high-risk smokers and non-smokers exposed to passive smoking. The baseline data are reported in this study. Between May and December 2019, eligible participants were randomized in a ratio of 1:1:1 to a screening (two arms) or control cohort. Non-calcified nodules/masses with a diameter >4mm on low-dose computed tomography were considered positive findings. In total, 600 patients (mean age, 59.1 ± 6.9 years) underwent low-dose computed tomography. Women accounted for 31.5% (189/600) of patients; 89.9% (170/189) were non-smokers/passive smokers. At baseline, the incidence of lung cancer was 1.8% (11/600). The incidence of lung cancer was significantly lower in smokers than in female non-smokers/passive smokers (1.0% [4/415] vs. 4.1% [7/170], respectively; P=0.017). Stage 0-I lung cancer accounted for 90.9% (10/11) of cases. We demonstrate the importance of including active smokers and female non-smokers/passive smokers in lung cancer screening programs. Further studies are needed to explore the risk factors, and long-term cost-benefit of screening Asian non-smoking women. http://chictr.org.cn/showproj.aspx?proj=39003, identifier ChiCTR1900023197.

Airflow limitation and mortality during cancer screening in the National Lung Screening Trial: why quantifying airflow limitation matters

ImportanceCurrent eligibility criteria for lung cancer (LC) screening are derived from randomised controlled trials and primarily based on age and smoking history. However, the individual benefits of screening are highly...