Active screening for lung cancer increases smoking abstinence in Australia.

BACKGROUND: Smoking cessation is an important screening component, but the evidence base to inform implementation is lacking. We report longitudinal smoking behavior in an Australian screening cohort and examine predictor variables associated with continued smoking. METHODS: Healthy current or former smokers (quit less than 15 years and ≥30-pack year smoking history) aged 60-74 years underwent CT screening at baseline, year 1 and year 2. Participants received brief smoking cessation advice and generic Quitline materials. Smoking status was self-reported every 6 months for 5 years. Mediators of smoking behavior, adjusted for sociodemographic, health and scan variables were explored using logistic regression modeling. RESULTS: Two hundred thirty-five participants were analyzed. One hundred eight (46%) were current smokers at enrolment. At baseline, current smokers' mean Fagerström Test for Nicotine Dependence was 4.9, and they had higher levels of lung cancer-specific distress and passive smoke exposure than former smokers. At 36 months, 33% of baseline smokers achieved sustained (≥6 months) smoking abstinence. Five (4%) former smokers relapsed at any point during the study. Continued smoking was positively associated with greater nicotine dependence and smoking pack-years, and negatively associated with cardiovascular disease, stroke, and lung cancer family history. CONCLUSIONS: This study provides the first data on smoking cessation rates in Australian lung cancer screenees and supports screening as a teachable moment. We identify several factors that identify smokers who may require more intensive smoking cessation interventions and could be used to develop effective smoking cessation as part of lung cancer screening, tailored to individual risk profiles.

Validation of the Eighth Edition TNM Lung Cancer Staging System.

INTRODUCTION: We performed a validation study at our institution, the International Union Against Cancer (Union for International Cancer Control latest version of TNM Classification of Malignant Tumors Eighth Edition). METHODS: Data were collected from the Queensland Oncology Online registry of NSCLC or SCLC cases between 2000 and 2015 and validated against the Queensland Integrated Lung Cancer Outcomes Project registry using case identification number, first name, last name, and date of birth. Where data were available, cases were classified according to the Union for International Cancer Control TNM seventh edition stage groupings and then compared with the eighth edition groupings. Kaplan-Meier curves were plotted, and the log-rank test of survival differences was performed with SPSS version 25 (IBM Corp, Armonk, NY). RESULTS: Of the 3636 cases, 3352 and 1031 had complete clinical and pathologic staging, respectively. Median survival time was found to reduce with increasing clinical stage: seventh edition (IA: 88, IB: 44, IIA: 31, IIB: 18, IIIA: 15, IIIB: 8, and IV: 5 mo) versus eighth edition TNM stage (IA1: not reached, IA2: 88, IA3: 53, IB: 56, IIA: 36, IIB: 22, IIIA: 14, IIIB: 9, IIIC: 8, IVA: 6, and IVB: 3 mo). A similar overall pattern was reflected in the pathologic stage: seventh edition (IA: 124, IB: 110, IIA: 48, IIB: 42, IIIA: 26, IIIB: 31, and IV: 27 mo) versus eighth edition (IA1: not reached, IA2: 122, IA3: 125, IB: 144, IIA: 98, IIB: 57, IIIA: 31, IIIB: 24, and IVA: 7 mo). The log-rank test for survival curves was significant at p < 0.001. CONCLUSIONS: Our external validation study confirms the prognostic accuracy of the eighth edition TNM lung cancer classification. Our analyses also indicated that IIIB, IIIC, and IVA stage groups had similar survival outcomes and suggest further research for refinement.

Cost of screening for lung cancer in Australia.

BACKGROUND: Lung cancer screening can reduce lung cancer mortality. Australian cost estimates are important to inform policy but remain uncertain. AIM: To describe the first direct medical costs associated with lung cancer screening in Australia. METHODS: Single-centre prospective screening cohort. Healthy volunteers (age 60-74 years, current or former smokers quit <15 years prior to enrolment, ≥30 pack-years exposure) underwent baseline and two annual incidence computed tomography (CT) screening scans. Health status and healthcare usage data were collated for 5 years. The main outcome measures were: rates of lung cancer; individual healthcare resource use derived from multiple data sources adjusted to 2018 Australian Medicare Benefits Schedule values. RESULTS: A total of 256, 239, 233 participants was screened at each round respectively; 12 participants were diagnosed with lung cancer during screening and 2 during follow-up: 9 underwent surgery, 4 received concurrent chemoradiation, 1 received palliative chemotherapy. One surgical case died from lymphoma 1407 days after diagnosis, all other surgical cases survived >5 years. Non-surgical median survival post-diagnosis was 654 days. Gross trial cost was Australian dollar (AU$) 965 665 (AU$397 396 CT scans; AU$29 303 false-positive scan work-up; AU$96 340 true-positive scan workup; AU$336 914 lung cancer treatment; AU$104 712 lung cancer follow-up post-treatment). Average total direct medical cost per participant was AU$3 768. Average direct cost of surgery was AU$22 659; average non-surgical cost was AU$47 395 (radiotherapy, chemotherapy, palliative care). CONCLUSIONS: Advanced cancer cost more to treat and had worse survival than early cancer. Screening costs are similar to international studies and suggest that lung cancer early detection could limit treatment costs and improve outcomes.

Low tumour cell content in a lung tumour bank: implications for molecular characterisation.

Lung cancer encompasses multiple malignant epithelial tumour types, each with specific targetable, potentially actionable mutations, such that precision management mandates accurate tumour typing. Molecular characterisation studies require high tumour cell content and low necrosis content, yet lung cancers are frequently a heterogeneous mixture of tumour and stromal cells. We hypothesised that there may be systematic differences in tumour cell content according to histological subtype, and that this may have implications for tumour banks as a resource for comprehensive molecular characterisation studies in lung cancer. To investigate this, we estimated tumour cell and necrosis content of 4267 samples resected from 752 primary lung tumour specimens contributed to a lung tissue bank. We found that banked lung cancer samples had low tumour cell content (33%) generally, although it was higher in carcinoids (77.5%) than other lung cancer subtypes. Tumour cells comprise a variable and often small component of banked resected tumour samples, and are accompanied by stromal reaction, inflammation, fibrosis, and normal structures. This has implications for the adequacy of unselected tumour bank samples for diagnostic and molecular investigations, and further research is needed to determine whether tumour cell content has a significant impact on analytical results in studies using tissue from tumour bank resources.

The effect of different radiological models on diagnostic accuracy and lung cancer screening performance.

High false-positive (FP) scan rates associated with low-dose computed tomography (LDCT) lung cancer screening result in unnecessary follow-up tests and exposure to harm. The definition of a 'positive' scan can impact FP rates and screening performance. We explored the effect of Lung Imaging Reporting and Data System (Lung-RADS) criteria, PanCan Nodule Malignancy Probability Model and varying nodule size thresholds (≥4 mm, ≥6 mm, ≥8 mm) on diagnostic accuracy and screening performance compared with original trial definitions (National Lung Screening Trial (NLST) criteria) in a secondary analysis of a lung cancer screening cohort. We found Lung-RADS criteria and the PanCan Nodule Malignancy Probability Model could substantially improve screening performance and reduce FP scan rates compared with NLST definitions of positivity but that this needs to be balanced against possible risk of false-negative results. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry, ACTRN12610000007033.

Brief Tailored Smoking Cessation Counseling in a Lung Cancer Screening Population is Feasible: A Pilot Randomized Controlled Trial.

INTRODUCTION: Maximizing smoking abstinence in lung cancer screening participants is important to reduce individual risk of disease and improve screening cost-effectiveness; however, the optimal strategy remains undefined. We hypothesized that a single session of tailored face-to-face counseling on the day of screening CT scan, coupled with audio and printed cessation information would be feasible to deliver in a CT screening trial. METHODS: We randomized volunteer smokers in the Queensland Lung Cancer Screening Study to intervention (counseling session, audio quit materials, printed quit materials, Quitline contact details) or control group (printed quit materials, Quitline contact details). Participants self-reported point prevalence quit rates at 1 year. RESULTS: Fifty-five smokers were enrolled; 28 randomized to intervention and 27 controls. Median cigarette consumption was 25/day; 54/55 smoked at least 15 cigarettes per day. Median smoking duration was 46 years. Median Fagerström dependence score was 6. In total 58% did not report any quit attempt in the prior 12 months. Mean duration of counseling was 26.5 minutes. After 1 year, four participants (14.3%) in the intervention group and five participants (18.5%) in the control group had quit (P = .74). Combined annual point prevalence quit rate was 16.4%. CONCLUSIONS: Although feasible to deliver a single session of tailored counseling on the day of screening this intervention had no discernible impact on cessation over and above printed materials and Quitline access. As participants exhibited hardcore smoking characteristics, more intensive strategies, in larger cohorts, should be explored. IMPLICATIONS: The optimal smoking cessation strategy within a lung cancer screening program is not known. This study demonstrates that a single session of counseling can be feasibly delivered on the day of screening but may not have been intensive enough for long-term, hard-core smokers.

Screen-detected subsolid pulmonary nodules: long-term follow-up and application of the PanCan lung cancer risk prediction model.

OBJECTIVE: To report the long-term follow-up of subsolid nodules (SSNs) detected in participants of a prospective low-dose CT lung cancer screening cohort, and to investigate the utility of the PanCan model in stratifying risk in baseline SSNs. METHODS: Participants underwent a baseline scan, two annual incidence scans and further follow-up scans for the detected nodules. All SSNs underwent a minimum of 2 years of follow-up (unless resolved or resected). Risk of malignancy was estimated using the PanCan model; discrimination [area under the receiver-operating characteristic curve (AUC)] and calibration (Hosmer-Lemeshow goodness-of-fit test) were assessed. The Mann-Whitney U-Wilcoxon test was used to compare estimated risk between groups. RESULTS: 70 SSNs were detected in 41 (16.0%) out of 256 total participants. Median follow-up period was 25.5 months (range 2.0-74.0 months). 29 (41.4%) SSNs were transient. Five (7.1%) SSNs were resected, all found to be Stage I lung adenocarcinoma, including one SSN stable in size for 3.0 years before growth was detected. The PanCan model had good discrimination for the 52 baseline SSNs (AUC = 0.89; 95% confidence interval 0.76-1); the Hosmer-Lemeshow goodness-of-fit test was non-significant (p = 0.27). Estimated risk was significantly higher in the baseline SSNs found to be cancer vs those not found to be cancer after 2-6 years of follow-up (p < 0.01). CONCLUSION: Our findings support a long-term follow-up approach for screen-detected SSNs for 3 years or longer. The PanCan model appeared discriminatory and well calibrated in this cohort. ADVANCES IN KNOWLEDGE: The PanCan model may have utility in identifying low-risk SSNs which could be followed with less frequent CT scans.

Phenotypes and karyotypes of human malignant mesothelioma cell lines.

BACKGROUND: Malignant mesothelioma is an aggressive tumour of serosal surfaces most commonly pleura. Characterised cell lines represent a valuable tool to study the biology of mesothelioma. The aim of this study was to develop and biologically characterise six malignant mesothelioma cell lines to evaluate their potential as models of human malignant mesothelioma. METHODS: Five lines were initiated from pleural biopsies, and one from pleural effusion of patients with histologically proven malignant mesothelioma. Mesothelial origin was assessed by standard morphology, Transmission Electron Microscopy (TEM) and immunocytochemistry. Growth characteristics were assayed using population doubling times. Spectral karyotyping was performed to assess chromosomal abnormalities. Authentication of donor specific derivation was undertaken by DNA fingerprinting using a panel of SNPs. RESULTS: Most of cell lines exhibited spindle cell shape, with some retaining stellate shapes. At passage 2 to 6 all lines stained positively for calretinin and cytokeratin 19, and demonstrated capacity for anchorage-independent growth. At passage 4 to 16, doubling times ranged from 30-72 hours, and on spectral karyotyping all lines exhibited numerical chromosomal abnormalities ranging from 41 to 113. Monosomy of chromosomes 8, 14, 22 or 17 was observed in three lines. One line displayed four different karyotypes at passage 8, but only one karyotype at passage 42, and another displayed polyploidy at passage 40 which was not present at early passages. At passages 5-17, TEM showed characteristic features of mesothelioma ultrastructure in all lines including microvilli and tight intercellular junctions. CONCLUSION: These six cell lines exhibit varying cell morphology, a range of doubling times, and show diverse passage-dependent structural chromosomal changes observed in malignant tumours. However they retain characteristic immunocytochemical protein expression profiles of mesothelioma during maintenance in artificial culture systems. These characteristics support their potential as in vitro model systems for studying cellular, molecular and genetic aspects of mesothelioma.

Pleural fluid cell-free DNA integrity index to identify cytologically negative malignant pleural effusions including mesotheliomas.

BACKGROUND: The diagnosis of malignant pleural effusions (MPE) is often clinically challenging, especially if the cytology is negative for malignancy. DNA integrity index has been reported to be a marker of malignancy. The aim of this study was to evaluate the utility of pleural fluid DNA integrity index in the diagnosis of MPE. METHODS: We studied 75 pleural fluid and matched serum samples from consecutive subjects. Pleural fluid and serum ALU DNA repeats [115bp, 247bp and 247bp/115bp ratio (DNA integrity index)] were assessed by real-time quantitative PCR. Pleural fluid and serum mesothelin levels were quantified using ELISA. RESULTS: Based on clinico-pathological evaluation, 52 subjects had MPE (including 16 mesotheliomas) and 23 had benign effusions. Pleural fluid DNA integrity index was higher in MPE compared with benign effusions (1.2 vs. 0.8; p<0.001). Cytology had a sensitivity of 55% in diagnosing MPE. If cytology and pleural fluid DNA integrity index were considered together, they exhibited 81% sensitivity and 87% specificity in distinguishing benign and malignant effusions. In cytology-negative pleural effusions (35 MPE and 28 benign effusions), elevated pleural fluid DNA integrity index had an 81% positive predictive value in detecting MPEs. In the detection of mesothelioma, at a specificity of 90%, pleural fluid DNA integrity index had similar sensitivity to pleural fluid and serum mesothelin (75% each respectively). CONCLUSION: Pleural fluid DNA integrity index is a promising diagnostic biomarker for identification of MPEs, including mesothelioma. This biomarker may be particularly useful in cases of MPE where pleural aspirate cytology is negative, and could guide the decision to undertake more invasive definitive testing. A prospective validation study is being undertaken to validate our findings and test the clinical utility of this biomarker for altering clinical practice.