DNA hypermethylation analysis in sputum of asymptomatic subjects at risk for lung cancer participating in the NELSON trial: argument for maximum screening interval of 2†years.

AIMS: Lung cancer is the major contributor to cancer mortality due to metastasised disease at time of presentation. The current study investigated DNA hypermethylation of biomarkers RASSF1A, APC, cytoglobin, 3OST2, FAM19A4, PHACTR3 and PRDM14 in sputum of asymptomatic high-risk individuals from the NELSON lung cancer low-dose spiral CT screening trial to detect lung cancer at preclinical stage. METHODS: Subjects were selected with (i) lung cancer in follow-up (cases; n=65), (ii) minor cytological aberrations (controls; n=120) and (iii) a random selection of subjects without cytological aberrations (controls; n=99). Median follow-up time for controls was 80 months. Cut-off values were based on high specificity to assess diagnostic value of the biomarkers. RESULTS: RASSF1A may denote presence of invasive cancer because of its high specificity (93% (95% CI 89% to 96%); sensitivity 17% (95% CI 4% to 31%), with best performance in a screening interval of 2 years. The panel of RASSF1A, 3OST2 and PRDM14 detected 28% (95% CI 11% to 44%) of lung cancer cases within 2 years, with specificity of 90% (95% CI 86% to 94%). Sputum cytology did not detect any lung cancers. CONCLUSIONS: In a lung cancer screening setting with maximum screening interval of 2 years, DNA hypermethylation analysis in sputum may play a role in the detection of preclinical disease, but complementary diagnostic markers are needed to improve sensitivity.

Combined sputum hypermethylation and eNose analysis for lung cancer diagnosis.

AIMS: The aim of this study is to explore DNA hypermethylation analysis in sputum and exhaled breath analysis for their complementary, non-invasive diagnostic capacity in lung cancer. METHODS: Sputum samples and exhaled breath were prospectively collected from 20 lung cancer patients and 31 COPD controls (Set 1). An additional 18 lung cancer patients and 8 controls only collected exhaled breath as validation set (Set 2). DNA hypermethylation of biomarkers RASSF1A, cytoglobin, APC, FAM19A4, PHACTR3, 3OST2 and PRDM14 was considered, and breathprints from exhaled breath samples were created using an electronic nose (eNose). RESULTS: Both DNA hypermethylation markers in sputum and eNose were independently able to distinguish lung cancer patients from controls. The combination of RASSF1A and 3OST2 hypermethylation had a sensitivity of 85% with a specificity of 74%. eNose had a sensitivity of 80% with a specificity of 48%. Sensitivity for lung cancer diagnosis increased to 100%, when RASSF1A hypermethylation was combined with eNose, with specificity of 42%. Both methods showed to be complementary to each other (p≤0.011). eNose results were reproducible in Set 2. CONCLUSIONS: When used in concert, RASSF1A hypermethylation in sputum and exhaled breath analysis are complementary for lung cancer diagnosis, with 100% sensitivity in this series. This finding should be further validated.

Methylation analysis in spontaneous sputum for lung cancer diagnosis.

OBJECTIVES: Lung cancer is the most fatal cancer in the developed world due to presence of metastases at time of diagnosis. The aim of this study is to examine DNA hypermethylation in sputum compared to sputum cytology for the diagnosis of lung cancer. A novel risk analysis is introduced, using the distinction between diagnostic and risk markers. METHODS: Two independent sets were randomly composed from a prospectively collected sputum bank (Set 1: n = 98 lung cancer patients, n = 90 controls; Set 2: n = 60 lung cancer patients, n = 445 controls). Sputum cytology was performed for all samples. The following DNA hypermethylation markers were tested in both sets: RASSF1A, APC and cytoglobin (CYGB). Two statistical analyses were conducted: multivariate logistic regression and a risk classification model based on post-test probabilities. RESULTS: In multivariate analysis, RASSF1A was the best of the three markers in discriminating lung cancer cases from controls in both sets (sensitivity 41-52%, specificity 94-96%). The risk model showed that 36% of lung cancer patients were defined as "high risk" (≥ 60% chance on lung cancer) based on RASSF1A hypermethylation in Set 1. The model was reproducible in Set 2. Risk markers (APC, CYGB) have less diagnostic value. Sensitivity of cytology for lung cancer diagnosis was 22%. RASSF1A hypermethylation yielded a sensitivity of 45%. The combined sensitivity for RASSF1A with cytological diagnosis increased to 52% with similar specificity (94%). CONCLUSION: In a diagnostic setting, hypermethylation analysis in sputum is possible when a diagnostic marker is used. However, risk markers are insufficient for this purpose.

EGFR mutation analysis in sputum of lung cancer patients: a multitechnique study.

OBJECTIVES: Epidermal growth factor receptor (EGFR) mutations have been identified in lung adenocarcinomas and are associated with high response chance to EGFR tyrosine kinase inhibitors. EGFR mutations can be detected in tumour tissue, cytology specimens and blood from lung cancer patients. Thus far, EGFR mutation analysis has not been systematically demonstrated for sputum samples. The aim of the present study was to determine whether EGFR mutation analysis is attainable on sputum samples, employing different assays in a multicenter study. MATERIALS AND METHODS: Sputum DNA from 10 lung cancer patients with confirmed EGFR mutation in their tumour tissue, 10 lung cancer patients without evidence of an EGFR mutation, and 10 patients with chronic obstructive pulmonary disease (COPD) was used for mutation analysis by Cycleave PCR, COLD-PCR, PangaeaBiotech SL Technology (PST), and High Resolution Melting, respectively. Targeted resequencing (TruSeq Amplicon Cancer Panel) and droplet digital PCR were additionally performed on the 10 samples with EGFR mutation. RESULTS: Dependent on the assay, EGFR mutations could be detected in 30-50% of the sputum samples of patients with EGFR mutations. The different techniques revealed consistent results, with slightly higher sensitivity for PST. Neither the lung cancer patients without EGFR mutation nor the COPD controls tested positive for EGFR mutations in their sputum samples, indicating high clinical specificity of all assays. CONCLUSION: EGFR mutations can be detected in sputum samples from patients with EGFR-mutated non-small cell lung cancer, which may replace biopsy procedure for some patients.

Prolonged sampling of spontaneous sputum improves sensitivity of hypermethylation analysis for lung cancer.

AIMS: The adequacy of lung cancer diagnosis with sputum cytology depends on duration of sputum sampling. The aim of this methodological study was to determine whether the hypermethylation detection rate of RASSF1A, adenomatous polyposis coli (APC) and cytoglobin (CYGB) is influenced by the duration of sputum collection. METHODS: Prospective sputum samples were collected from 53 lung cancer patients and 47 chronic obstructive pulmonary disease patients as controls. Subjects collected spontaneous sputum at home during nine consecutive days in three canisters I, II and III (ie, days 1-3, days 4-6, days 7-9, respectively). Quantitative methylation-specific PCR was performed to assess gene promoter methylation status of RASSF1A, APC and CYGB. RESULTS: Analysis of each canister separately showed hypermethylation of RASSF1A, APC and/or CYGB in samples I, II and III, in 43%, 40% and 47% of cases, respectively. In control samples, these numbers were 4%, 2% and 4%, respectively. Cumulative analysis for days 1-6 and days 1-9 revealed an increase in sensitivity to 53% and 64%, and specificity of 94% and 91%, respectively. CONCLUSION: Sputum collected over multiple successive days results in a gain in sensitivity for the detection of lung cancer, at the expense of a small loss in specificity. Condensed abstract Assessment of hypermethylation sensitivity of biomarkers in sputum collected over a prolonged period for the detection of lung cancer resulted in a promising gain in sensitivity, at the expense of a small loss in specificity.