Low-dose computed tomography screening for lung cancer in people with workplace exposure to asbestos

Maisonneuve, Patrick; Rampinelli, Cristiano; Bertolotti, Raffaella; Misotti, A.M.; Lococo, Filippo; Casiraghi, Monica; Spaggiari, Lorenzo; Bellomi, Massimo; Novellis, Pierluigi; Solinas, Michela; Dieci, Elisa; Alloisio, Marco; Fontana, Luca; Persechino, Benedetta; Iavicoli, Sergio; Veronesi, Giulia

doi:10.1016/j.lungcan.2019.03.003

Cited by 19 publications

(18 citation statements)

References 44 publications

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“…Conference abstracts generally contained insufficient information to be included. We did not conduct a full systematic review or meta-analysis, as these have been previously completed [ 33 , 34 ]. A total of 16 studies were identified: seven were excluded because they screened fewer than 150 people or used conventional dose CT scan for screening.…”

Section: Current Knowledgementioning

confidence: 99%

“…Nine non-randomized studies of asbestos-exposed populations with ≥150 participants reported results of LDCT screening for lung cancer between 2002 to 2019 [ 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ]. Age, smoking history, and asbestos exposure were principal or exclusive eligibility criteria with frequent use of broader age and smoking ranges than were used in NLST or NELSON.…”

Section: Current Knowledgementioning

confidence: 99%

“…Seven of these studies were included in a published systematic review and meta-analysis by Ollier et al [ 33 ]. All the studies were included in a meta-analysis completed by Maisonneuve [ 34 ]. None of the studies used risk prediction models, NLST, or NELSON eligibility criteria to determine eligibility.…”

Section: Current Knowledgementioning

confidence: 99%

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Lung Cancer Screening in Asbestos-Exposed Populations

Markowitz

2022

IJERPH

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Asbestos exposure is the most important cause of occupational lung cancer mortality. Two large randomized clinical trials in the U.S. and Europe conclusively demonstrate that annual low-dose chest CT (LDCT) scan screening reduces lung cancer mortality. Age and smoking are the chief risk factors tested in LDCT studies, but numerous risk prediction models that incorporate additional lung cancer risk factors have shown excellent performance. The studies of LDCT in asbestos-exposed populations shows favorable results but are variable in design and limited in size and generalizability. Outstanding questions include how to: (1) identify workers appropriate for screening, (2) organize screening programs, (3) inform and motivate people to screen, and (4) incorporate asbestos exposure into LDCT decision-making in clinical practice. Conclusion: Screening workers aged ≥50 years with a history of ≥5 years asbestos exposure (or fewer years given intense exposure) in combination with either (a) a history of smoking at least 10 pack-years with no limit on time since quitting, or (b) a history of asbestos-related fibrosis, chronic lung disease, family history of lung cancer, personal history of cancer, or exposure to multiple workplace lung carcinogens is a reasonable approach to LDCT eligibility, given current knowledge. The promotion of LDCT-based screening among asbestos-exposed workers is an urgent priority.

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Section: Current Knowledgementioning

confidence: 99%

Section: Current Knowledgementioning

confidence: 99%

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Lung Cancer Screening in Asbestos-Exposed Populations

Markowitz

2022

IJERPH

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“…Neoplasia of the respiratory district is among the leading cause of tumor related death worldwide. Among those are lung cancer and pleural mesothelioma, two diseases whose risk is further increased by environmental and occupational exposure to carcinogens, such as asbestos (1)(2)(3). Screening programs for such neoplasia are currently based on low-dose computed tomography (LDCT).…”

Section: Introductionmentioning

confidence: 99%

An EBC/Plasma miRNA Signature Discriminates Lung Adenocarcinomas From Pleural Mesothelioma and Healthy Controls

et al. 2021

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BackgroundDespite significant improvement in screening programs for cancers of the respiratory district, especially in at-risk subjects, early disease detection is still a major issue. In this scenario, new molecular and non-invasive biomarkers are needed to improve early disease diagnosis.MethodsWe profiled the miRNome in exhaled breath condensate (EBC) and plasma samples from fourteen patients affected by lung AdCa, nine healthy subjects. miRNA signatures were then analyzed in another neoplasia of the respiratory district, i.e. pleural mesothelioma (n = 23) and subjects previously exposed to asbestos were used as controls for this cohort (n = 19). Selected miRNAs were analyzed in purified pulmonary neoplastic or normal epithelial and stromal cell subpopulation from AdCa patients. Finally, the plasmatic miRNA signature was analyzed in a publicly available cohort of NSCLC patients for data validation and in silico analysis was performed with predicted miRNA targets using the multiMiR tool and STRING database.ResultsmiR-597-5p and miR-1260a are significantly over-expressed in EBC from lung AdCa and are associated with AdCa. Similarly, miR-1260a is also up-regulated in the plasma of AdCa patients together with miR-518f-3p and correlates with presence of lung cancer, whereas let-7f-5p is under-expressed. Analysis of these circulating miRNAs in pleural mesothelioma cases confirmed that up-regulation of miR-518f-3p, -597-5p and -1260a, is specific for lung AdCa. Lastly, quantification of the miRNAs in laser-assisted microdissected lung tissues revealed that miR-518f-3p, 597-5p and miR-1260a are predominantly expressed in tumor epithelial cells. Validation analysis confirmed miR-518f-3p as a possible circulating biomarker of NSCLC. In silico analysis of the potentially modulated biological processes by these three miRNAs, shows that tumor bioenergetics are the most affected pathways.ConclusionsOverall, our data suggest a 3-miRNAs signature as a non-invasive and accurate biomarker of lung AdCa. This approach could supplement the current screening approaches for early lung cancer diagnosis.

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“…Non-small cell lung cancer (NSCLC) is still a major health problem in the world [1]. Although smoking control measures have been introduced in recent years, the incidence of NSCLC has not decreased signi cantly [2,3]. The number of deaths from NSCLC is also on the rise every year [4].…”

Section: Introductionmentioning

confidence: 99%

Prognostic nomograms for predicting overall survival of stage I lung cancer patients: a large population-based study

Wu¹,

Wan²,

Song³

et al. 2020

Preprint

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Background Postoperative prognosis of stage I non-small cell lung cancer (NSCLC) undergoing lymph node dissection is heterogeneous. Therefore, we sought to construct a novel survival prediction model for stage I NSCLC undergoing lymph node dissection. Method: Based on the data from the Surveillance, Epidemiology, and End Results (SEER) program, we successfully determined and incorporated independent prognostic markers to construct the nomogram. The constructed nomogram was further subjected to external validation with an independent cohort of patients. The performance of the survival prediction model was assessed by concordance index, calibration plots, and risk subgroup classification. Results A total of 23394 patients from SEER registries (training cohort), as well as 7016 patients (verification cohort) was included. Age, gender, race, histology, differentiation grade, stage, and lymph node dissection mode were identified as significant prognostic parameters. A novel nomogram was developed and externally validated. The model displayed good discrimination with a C-index of 0.666 (95% CI, 0.652 to 0.681) and good calibration. Calibration plots demonstrated an optimal consistency between the nomogram predicted and actual observed probability of survival. Conclusion This novel nomogram incorporating the age, gender, race, histology, differentiation grade, stage, and lymph node dissection mode could be conveniently used to facilitate the individual prognosis prediction in stage I NSCLC patients.

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Low-dose computed tomography screening for lung cancer in people with workplace exposure to asbestos

Cited by 19 publications

References 44 publications

Lung Cancer Screening in Asbestos-Exposed Populations

Lung Cancer Screening in Asbestos-Exposed Populations

An EBC/Plasma miRNA Signature Discriminates Lung Adenocarcinomas From Pleural Mesothelioma and Healthy Controls

Prognostic nomograms for predicting overall survival of stage I lung cancer patients: a large population-based study

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