Lung Cancer ScreeningLUCIANCT06473870
Understanding Lung Cancer Related Risk Factors and Their Impact
An observational study of Lung Cancer Screening, run by Biobizkaia Health Research Institute at 5 sites in 3 countries.
Trial summary
LUCIA aims to develop prediction models for the early diagnosis of lung cancer based on the identification of risk factors and deeper cellular knowledge, by recording real-world data; with risk assessment tools, non-invasive devices and omics analysis. Read more about this study
- Who is it for?
- Ages 40 to 80 yearsHealthy volunteers can take part
- Conditions the study is for
- Lung Cancer Screening
- How many people
- 6,160 participants
- Where
- 5 sitesin 3 countries
- Study dates
- Jul 2024to Dec 2027
- How long will I take part?
- 2 Years
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 40 to 80 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Adult subjects (40 years old or higher), smokers and non-smokers, both women and men who have the capacity to comply with the study follow-up and sign the informed consent, will be recruited from "Servicio Andaluz de Salud" (SAS), "Osakidetza Servicio Vasco de Salud" (OSA), "Centre Hospitalier Universitaire de Liège" (CHUL) and "Centre for Tuberculosis and Lung Diseases (CTLD) of Riga East University Hospital (REUH)".
Who may be able to join
- Subjects aged between 40 and 80 years
- Both genders, of which at least 37% must be women to ensure representativeness
- Willingness and ability to comply with scheduled visits, laboratory tests, and other trial procedures
- Written informed consent obtained prior to performing any protocol-related procedures.
- High risk of developing Lung Cancer volunteers will be selected by Lung Cancer risk factors modelling.
- Patients diagnosed with indeterminate pulmonary nodules or Lung Cancer from the screening phases.
Who cannot join
- Subjects under 40 years of age
- Unable to be followed-up for at least 2-years or complete the study
- Subjects that do not sign the informed consent
- Current or prior history of lung cancer
- History of neoplasia in the previous 5 years except non-melanoma skin cancer
- Moderate-severe comorbidities that prevent completion of a diagnostic study in the event of findings suggestive of lung neoplasia (by means of the investigator's clinical judgment) or surgical intervention (< 6 months) if not previously confirmed by cytohistology.
- Vulnerable subjects: severe psychiatric comorbidity, adults under guardianship or deprived of liberty
- Pregnant women
Trial locations and contacts
5 sites in 3 countries. Contact the study team or a site near you to ask about taking part.
Jon E Idoyaga-Uribarrena, MPhar contact
5 sites in 3 countries
Spain3 sites
Hospital Universitario Cruces
Barakaldo, Viscay, 48903
Eunate Arana-Arri, PhD, +34 944881593 ext. 841593, eunate.aranaarri@osakidetza.eus
Jon E Idoyaga-Uribarrena, MPhar, +34 944881593 ext. 841593, joneneko.idoyagauribarrena@bio-bizkaia.eus
Hospital Universitario Virgen Macarena
Seville, 41009
David Vicente-Baz, MD, david.vicente.sspa@juntadeandalucia.es
Cristina Simarro, 650307416, cristinasimarro5@gmail.com
Aljarafe-Sevilla Norte Health District
Seville
Luis G Luque Romero, MD, luqueluis2@gmail.com
Belgium1 site
Centre Hospitalier Universitaire de Liège
Liège, Wallonia, 4000
Julien Guiot, PhD, +32.4.284.49.01, j.guiot@chuliege.be
Benoit Ernst, BA, benoit.ernst@uliege.be
Latvia1 site
Riga East University Hospital
Riga, LV-1038
Alvils Krams, MD, Alvils.Krams@aslimnica.lv
Ilmārs Stonāns, PhD, + 371 28655158, ilmars.stonans@lu.lv
About this study
LUCIA aims to develop prediction models for the early diagnosis of lung cancer based on the identification of risk factors and deeper cellular knowledge, by recording real-world data; with risk assessment tools, non-invasive devices and omics analysis. These models will enable new clinical pathways and diagnostic workflow to be implemented to ensure early diagnosis and confirmation, including classification of lung cancer subtype.
Read the detailed description
Lung cancer is the leading cause of cancer death worldwide, causing more deaths than breast and prostate cancer combined.
The current five-year survival rate after diagnosis of all types of lung cancer in Europe is 13% (11.2% for men and 13.9% for women). The five-year survival rate for some types of lung cancer ranges from 6% to 7% (small cell LC) and 23% to 28% for non-small cell lung cancer (NSCLC).
Currently there are important deficiencies when it comes to achieving an adequate lung cancer screening program. According to principles established in 1968, a screening program should be based on pathology that can be improved through the use of population screening.
The evidence suggests two important gaps in early detection. On the one hand, the identification of risk factors beyond smoking and age. And on the other hand, the only tool for early detection that has been shown to reduce morbidity and mortality in lung cancer is chest CT, a test that may not be sustainable in the long term for many healthcare systems. In parallel, lung cancer diagnoses among never smokers and reduced smokers are increasing rapidly, suggesting that if lung cancer screening research continues focusing only on the heaviest smokers, a gap will persist between the population that performs the test and the population that suffers from the disease.
Evidence also suggests that people undergoing screening are not being optimally referred for follow-up or kept engaged in long-term screening.
Currently there are important deficiencies when it comes to achieving an adequate lung cancer screening program. The incidence in individuals without a history of smoking is increasingly higher. Therefore, an observational, longitudinal, multicenter cohort analytical study will be conducted to determine eligibility for screening based on individualized risk (based on age, a more detailed smoking history, occupational exposure, and other risk factors such as ethnicity and family history of lung cancer) and the development and validation of lung cancer risk predictive models that can improve screening efficiency and reduce lung cancer morbidity and mortality.
These models will allow new clinical pathways and diagnostic workflow to be implemented to ensure rapid diagnosis and confirmation, including lung cancer subtype classification.
The study consists of collecting data from participants in 4 visits over two years. During each visit, the clinical evaluation will be carried out, which will consist of the collection of sociodemographic data and clinical history, physical examination, concomitant medication, collection of exposure data and guide symptoms, Quality of Life questionnaires and geolocation. In addition, the following tests will be performed: low-dose computed tomography (LDCT), blood tests, genomic analysis and tests with new non-invasive devices (spectrometry on card (SPOC), breath analyzer (BAN) and broad-spectrum biomarker sensor patch (WBSP)). With all this, the aim is to develop and validate new tests based on new non-invasive and easy-to-use technologies that allow for the implementation of more efficient, acceptable and equitable population screening programs in the near future.
The completion of this project will allow to provide data that can be used to better understand and discover new risk factors for suffering from lung cancer and therefore improve the management of the disease.
Furthermore, this study will favor the reduction of long-term morbidity and mortality from lung cancer and will allow the future implementation of a lung cancer program.
- Conditions
- Lung Cancer Screening
- Keywords
- Lung Cancer, Lung cancer screening, LDCT, Risk factors
- Medical subject headings
- Lung Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Study population | Adult subjects (40 years old or higher), smokers and non-smokers, both women and men who have the capacity to comply with the study follow-up and sign the informed consent, will be recruited from "Servicio Andaluz de Salud" (SAS), "Osakidetza Servicio Vasco de Salud" (OSA), "Centre Hospitalier Universitaire de Liège" (CHUL) and "Centre for Tuberculosis and Lung Diseases (CTLD) of Riga East University Hospital (REUH)". |
What is being measured
The primary outcome is the main question the study is designed to answer.
presence of pulmonary nodules
The main variable is the presence of pulmonary nodules identified by Low Dose Computerized Tomography (LDCT)
Measured: 2 years
Lung Cancer diagnosis
The main variable is the presence of Lung Cancer diagnosis identified by Low Dose Computerized Tomography (LDCT).
Measured: 2 years
Secondary outcomes (65)
Age
years
Measured: 2 years
Gender
Male/female
Measured: 2 years
Ethnicity
description of the ethnia
Measured: 2 years
Socioeconomic factors
deprivation index
Measured: 2 years
Education level
description of the education level
Measured: 2 years
height
meter
Measured: 2 years
weight
kilograms
Measured: 2 years
Body Mass Index
kg/m^2
Measured: 2 years
Blood pressure
Systolic and diastolic blood pressure in mmHg
Measured: 2 years
heart rate
beats/min
Measured: 2 years
respiratory rate
breaths/min
Measured: 2 years
Global Initiative for Obstructive Lung Disease (GOLD) classification
only for COPD patient classification. Grade: GOLD 1 to 4 (from GOLD 1 which means mild stage of COPD to GOLD 4 very severe stage of COPD) Exacerbation history: GOLD A, B or E (depending on exacerbations: Gold A id 0 or 1 moderate exacerbations (not leading to hospitalization) with mMRC 0-1 CAT<10; GOLD B if 0 or 1 moderate exacerbations (not leading to hospitalization) with mMRC >= 2 CAT >=10 and GOLD E if 2 or more moderate exacerbations or 1 or more leading to hospitalization) with mMRC 0-1 CAT<10.
Measured: 2 years
Medical record
Family history of lung cancer or other types of cancer, emphysema/ COPD (+ GOLD classification)/ asthma, Interstitial Lung Disease (interstitial patterns), bronchiectasis, arterial hypertension, dyslipidemia, previous acute myocardial infarction, vasculopathies and chronic treatment.
Measured: 2 years
Exposure to harmful agents
Smoking and occupational exposure (physical activity and frequency, alcohol intake, cigarette packets/year, age of smoking onset, time elapsed since last cigarette, occupational exposure to carcinogens).
Measured: 2 years
Exploratory Omics markers
Dedicated blood samples will be specifically performed for a large Omics analysis.
Measured: baseline
HEALTH-PROMOTING LIFESTYLE PROFILE II questionnaire (HPLP II)
A score for overall health-promoting lifestyle is obtained by calculating a mean of the individual's responses to all 52 items; six subscale scores are obtained similarly by calculating a mean of the responses to subscale items. The use of means rather than sums of scale items is recommended to retain the 1 to 4 metric of item responses and to allow meaningful comparisons of scores across subscales.
Lower scores (1) mean lower engage in a health-promoting lifestyle Higher scores (4) mean higher engage in a health-promoting lifestyle
Measured: 2 years
Fantastic lifestyle Checklist
Evaluation of the population lifestyle:
85-100 points --> Excellent 70-84 points --> Very good 55-69 points --> Good 35-54 points --> Fair 0-34 points --> needs improvement
Measured: 2 years
Mediterranean diet adherence questionnaire
0-14 points scale <9 points --> low adherence to Mediterranean diet >9 points --> High adherence to Mediterranean diet
Measured: 2 years
EuroQoL-5D-5L questionnaire
Scoring from 0-100 points. 0 points low quality of life 100 high quality of life
Measured: 2 years
The Alcohol Use Disorders Identification Test (AUDIT) questionnaire
Scoring from 0-40 points >8 points --> indicators of hazardous and harmful alcohol use 8-15 points --> simple advice focused on the reduction of hazardous drinking 16-19 points --> brief counseling and continued monitoring >20 points --> warrant further diagnostic evaluationfor alcohol dependence
Measured: 2 years
Breath Analyzer (BAN) device
Measurement of Volatile Organic Compounds (VOCs) of a breath sample for Lung Cancer early detection
Measured: 2 years
Wide-biomarker-spectrum Multi-Use Sensing Patch (WBSP)
Measurement of Volatile Organic Compounds (VOCs) in the sweat and skin headspace for Lung Cancer early detection
Measured: 2 years
Spectrometry-on-Card (SPOC)
Measurement of biomarkers and signals from a blood sample for the early detection of lung cancer
Measured: 2 years
Tumor pathology
Tumor biopsy will be carried out in order to classify and characterize it regarding its size and location.
Measured: 2 years
Lung CT scan description
A lungCT scan will be performed to. Lung nodules and other findings (if any) will be reported in order to diagnose a lung cancer. If no anomalies are found, it will also be reported.
Measured: 2 years
Forced Vital Capacity (FVC)
mL, %, Lower limit of Normal and z-score
Measured: 2 years
Forced Expiratory Volume in 1 second (FEV1)
mL, %, Lower limit of Normal and z-score
Measured: 2 years
FEV1/FVC ratio
percentage (%)
Measured: 2 years
Glucose
mg/dL
Measured: baseline
HDL Cholesterol
mg/dL
Measured: baseline
Iron
μg/dL
Measured: baseline
C reactive protein
mg/L
Measured: baseline
Proteins
g/dL
Measured: baseline
Albumin
g/dL
Measured: baseline
LDL Cholesterol
mg/dL
Measured: baseline
Ferritin
ng/mL
Measured: baseline
Chloride
mEq/L
Measured: baseline
Lactate dehydrogenase
U/L
Measured: baseline
Triglycerides
mg/dL
Measured: baseline
Transferrin Index
index
Measured: baseline
Cholesterol
mg/dL
Measured: baseline
transferrin
mg/dL
Measured: baseline
phosphate
mg/dL
Measured: baseline
calcium
mg/dL
Measured: baseline
GOT
U/L
Measured: baseline
GPT
U/L
Measured: baseline
GGT
U/L
Measured: baseline
Bilirubin
mg/dL
Measured: baseline
Alkaline phosphatase
U/L
Measured: baseline
urea
mg/dL
Measured: baseline
Creatinine
mg/dL
Measured: baseline
Sodium
mEq/L
Measured: baseline
potassium
mEq/L
Measured: baseline
Urate
mg/dL
Measured: baseline
carcinoembryonic antigen (CEA)
ng/mL
Measured: baseline
CA 125
U/mL
Measured: baseline
CYFRA 21.1
ng/mL
Measured: baseline
Neuronal specific enolase (NSE)
ng/mL
Measured: baseline
Complete blood count
number of blood cells, composition and percentage
Measured: baseline
erythrocyte sedimentation rate
mm/h
Measured: baseline
partial thromboplastin time
seg
Measured: baseline
fibrinogen
mg/dL
Measured: baseline
international normalized ratio (INR)
ratio
Measured: baseline
prothrombin time
seg
Measured: baseline
Geo location
Participant's census tract identification (one for home address and one for workplace address)
Measured: 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted25 Jun 2024
- Study startJul 2024 (estimated)
- Primary completionDec 2027 (estimated)
- Study completionDec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (26)Papers the sponsor has linked to this study.
- Other trials for Lung Cancer ScreeningStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 6,160 participants (estimated)
- Target duration
- 2 Years
Sponsor and investigators
- Lead sponsor
- Biobizkaia Health Research Institute
- Sponsor type
- Other government
- Collaborators
- Technion, Israel Institute of Technology, Centro Nacional de Análisis Genómico, Vicomtech, University of Latvia, Centre Hospitalier Universitaire de Liege, Andaluz Health Service, Nanose Medical Ltd.
- Responsible party
- Sponsor
- Investigators
- Luis G Luque-Romero, MD, Principal investigator, Andaluz Health ServiceDavid Vicente-Baz, MD, Principal investigator, Andaluz Health ServiceAlvils Krams, MD, Principal investigator, University of LatviaJulien Guiot, MD, Principal investigator, Centre Hospitalier Universitaire de Liege
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06473870
- Sponsor's protocol ID
- LUCIA
- Acronym
- LUCIA
- Status last verified
- Jun 2024
- First submitted
- 16 May 2024
- Last updated
- 25 Jun 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
van Meerbeeck JP, Franck C. Lung cancer screening in Europe: where are we in 2021? Transl Lung Cancer Res. 2021 May;10(5):2407-2417. doi: 10.21037/tlcr-20-890.
PubMed 34164288Oudkerk M, Liu S, Heuvelmans MA, Walter JE, Field JK. Lung cancer LDCT screening and mortality reduction - evidence, pitfalls and future perspectives. Nat Rev Clin Oncol. 2021 Mar;18(3):135-151. doi: 10.1038/s41571-020-00432-6. Epub 2020 Oct 12.
PubMed 33046839Adams SJ, Stone E, Baldwin DR, Vliegenthart R, Lee P, Fintelmann FJ. Lung cancer screening. Lancet. 2023 Feb 4;401(10374):390-408. doi: 10.1016/S0140-6736(22)01694-4. Epub 2022 Dec 20.
PubMed 36563698Gomez-Carballo N, Fernandez-Soberon S, Rejas-Gutierrez J. Cost-effectiveness analysis of a lung cancer screening programme in Spain. Eur J Cancer Prev. 2022 May 1;31(3):235-244. doi: 10.1097/CEJ.0000000000000700.
PubMed 34406177Thandra KC, Barsouk A, Saginala K, Aluru JS, Barsouk A. Epidemiology of lung cancer. Contemp Oncol (Pozn). 2021;25(1):45-52. doi: 10.5114/wo.2021.103829. Epub 2021 Feb 23.
PubMed 33911981Schabath MB, Cote ML. Cancer Progress and Priorities: Lung Cancer. Cancer Epidemiol Biomarkers Prev. 2019 Oct;28(10):1563-1579. doi: 10.1158/1055-9965.EPI-19-0221.
PubMed 31575553Zhang T, Joubert P, Ansari-Pour N, Zhao W, Hoang PH, Lokanga R, Moye AL, Rosenbaum J, Gonzalez-Perez A, Martinez-Jimenez F, Castro A, Muscarella LA, Hofman P, Consonni D, Pesatori AC, Kebede M, Li M, Gould Rothberg BE, Peneva I, Schabath MB, Poeta ML, Costantini M, Hirsch D, Heselmeyer-Haddad K, Hutchinson A, Olanich M, Lawrence SM, Lenz P, Duggan M, Bhawsar PMS, Sang J, Kim J, Mendoza L, Saini N, Klimczak LJ, Islam SMA, Otlu B, Khandekar A, Cole N, Stewart DR, Choi J, Brown KM, Caporaso NE, Wilson SH, Pommier Y, Lan Q, Rothman N, Almeida JS, Carter H, Ried T, Kim CF, Lopez-Bigas N, Garcia-Closas M, Shi J, Bosse Y, Zhu B, Gordenin DA, Alexandrov LB, Chanock SJ, Wedge DC, Landi MT. Genomic and evolutionary classification of lung cancer in never smokers. Nat Genet. 2021 Sep;53(9):1348-1359. doi: 10.1038/s41588-021-00920-0. Epub 2021 Sep 6.
PubMed 34493867Ramaswamy A. Lung Cancer Screening: Review and 2021 Update. Curr Pulmonol Rep. 2022;11(1):15-28. doi: 10.1007/s13665-021-00283-1. Epub 2022 Apr 2.
PubMed 35402145Ten Haaf K, van der Aalst CM, de Koning HJ, Kaaks R, Tammemagi MC. Personalising lung cancer screening: An overview of risk-stratification opportunities and challenges. Int J Cancer. 2021 Jul 15;149(2):250-263. doi: 10.1002/ijc.33578. Epub 2021 May 3.
PubMed 33783822Berghmans T, Lievens Y, Aapro M, Baird AM, Beishon M, Calabrese F, Degi C, Delgado Bolton RC, Gaga M, Lovey J, Luciani A, Pereira P, Prosch H, Saar M, Shackcloth M, Tabak-Houwaard G, Costa A, Poortmans P. European Cancer Organisation Essential Requirements for Quality Cancer Care (ERQCC): Lung cancer. Lung Cancer. 2020 Dec;150:221-239. doi: 10.1016/j.lungcan.2020.08.017. Epub 2020 Sep 4.
PubMed 33227525Lemjabbar-Alaoui H, Hassan OU, Yang YW, Buchanan P. Lung cancer: Biology and treatment options. Biochim Biophys Acta. 2015 Dec;1856(2):189-210. doi: 10.1016/j.bbcan.2015.08.002. Epub 2015 Aug 19.
PubMed 26297204Nasim F, Sabath BF, Eapen GA. Lung Cancer. Med Clin North Am. 2019 May;103(3):463-473. doi: 10.1016/j.mcna.2018.12.006.
PubMed 30955514Nooreldeen R, Bach H. Current and Future Development in Lung Cancer Diagnosis. Int J Mol Sci. 2021 Aug 12;22(16):8661. doi: 10.3390/ijms22168661.
PubMed 34445366Liu Y, Pan IE, Tak HJ, Vlahos I, Volk R, Shih YT. Assessment of Uptake Appropriateness of Computed Tomography for Lung Cancer Screening According to Patients Meeting Eligibility Criteria of the US Preventive Services Task Force. JAMA Netw Open. 2022 Nov 1;5(11):e2243163. doi: 10.1001/jamanetworkopen.2022.43163.
PubMed 36409492Braithwaite D, Gould MK. Is Lung Cancer Screening Reaching the People Who Are Most Likely to Benefit? JAMA Netw Open. 2022 Nov 1;5(11):e2243171. doi: 10.1001/jamanetworkopen.2022.43171. No abstract available.
PubMed 36409500
Study at a glance
From the registry record, last updated by the sponsor on 25 Jun 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Understanding Lung Cancer Related Risk Factors and Their Impact
- ClinicalTrials.gov ID
- NCT06473870
- Acronym / sponsor ID
- LUCIA / LUCIA
- Conditions
- Lung Cancer Screening
- Keywords
- Lung Cancer, Lung cancer screening, LDCT, Risk factors
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 6,160 participants (estimated)
- Lead sponsor
- Biobizkaia Health Research InstituteOther government
- Collaborators
- Technion, Israel Institute of Technology, Centro Nacional de Análisis Genómico, Vicomtech, University of Latvia, Centre Hospitalier Universitaire de Liege, Andaluz Health Service, Nanose Medical Ltd.
- Study start
- Jul 2024 (estimated)
- Primary completion
- Dec 2027 (estimated)
- Study completion
- Dec 2027 (estimated)
- First posted
- 25 Jun 2024 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
LUCIA aims to develop prediction models for the early diagnosis of lung cancer based on the identification of risk factors and deeper cellular knowledge, by recording real-world data; with risk assessment tools, non-invasive devices and omics analysis. These models will enable new clinical pathways and diagnostic workflow to be implemented to ensure early diagnosis and confirmation, including classification of lung cancer subtype.
Detailed description
Lung cancer is the leading cause of cancer death worldwide, causing more deaths than breast and prostate cancer combined.
The current five-year survival rate after diagnosis of all types of lung cancer in Europe is 13% (11.2% for men and 13.9% for women). The five-year survival rate for some types of lung cancer ranges from 6% to 7% (small cell LC) and 23% to 28% for non-small cell lung cancer (NSCLC).
Currently there are important deficiencies when it comes to achieving an adequate lung cancer screening program. According to principles established in 1968, a screening program should be based on pathology that can be improved through the use of population screening.
The evidence suggests two important gaps in early detection. On the one hand, the identification of risk factors beyond smoking and age. And on the other hand, the only tool for early detection that has been shown to reduce morbidity and mortality in lung cancer is chest CT, a test that may not be sustainable in the long term for many healthcare systems. In parallel, lung cancer diagnoses among never smokers and reduced smokers are increasing rapidly, suggesting that if lung cancer screening research continues focusing only on the heaviest smokers, a gap will persist between the population that performs the test and the population that suffers from the disease.
Evidence also suggests that people undergoing screening are not being optimally referred for follow-up or kept engaged in long-term screening.
Currently there are important deficiencies when it comes to achieving an adequate lung cancer screening program. The incidence in individuals without a history of smoking is increasingly higher. Therefore, an observational, longitudinal, multicenter cohort analytical study will be conducted to determine eligibility for screening based on individualized risk (based on age, a more detailed smoking history, occupational exposure, and other risk factors such as ethnicity and family history of lung cancer) and the development and validation of lung cancer risk predictive models that can improve screening efficiency and reduce lung cancer morbidity and mortality.
These models will allow new clinical pathways and diagnostic workflow to be implemented to ensure rapid diagnosis and confirmation, including lung cancer subtype classification.
The study consists of collecting data from participants in 4 visits over two years. During each visit, the clinical evaluation will be carried out, which will consist of the collection of sociodemographic data and clinical history, physical examination, concomitant medication, collection of exposure data and guide symptoms, Quality of Life questionnaires and geolocation. In addition, the following tests will be performed: low-dose computed tomography (LDCT), blood tests, genomic analysis and tests with new non-invasive devices (spectrometry on card (SPOC), breath analyzer (BAN) and broad-spectrum biomarker sensor patch (WBSP)). With all this, the aim is to develop and validate new tests based on new non-invasive and easy-to-use technologies that allow for the implementation of more efficient, acceptable and equitable population screening programs in the near future.
The completion of this project will allow to provide data that can be used to better understand and discover new risk factors for suffering from lung cancer and therefore improve the management of the disease.
Furthermore, this study will favor the reduction of long-term morbidity and mortality from lung cancer and will allow the future implementation of a lung cancer program.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 2 Years
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Study population | – | –Adult subjects (40 years old or higher), smokers and non-smokers, both women and men who have the capacity to comply with the study follow-up and sign the informed consent, will be recruited from "Servicio Andaluz de Salud" (SAS), "Osakidetza Servicio Vasco de Salud" (OSA), "Centre Hospitalier Universitaire de Liège" (CHUL) and "Centre for Tuberculosis and Lung Diseases (CTLD) of Riga East University Hospital (REUH)". |
Who may qualify
- Ages
- 40 to 80 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Adult subjects (40 years old or higher), smokers and non-smokers, both women and men who have the capacity to comply with the study follow-up and sign the informed consent, will be recruited from "Servicio Andaluz de Salud" (SAS), "Osakidetza Servicio Vasco de Salud" (OSA), "Centre Hospitalier Universitaire de Liège" (CHUL) and "Centre for Tuberculosis and Lung Diseases (CTLD) of Riga East University Hospital (REUH)".
Key inclusion criteria (6 listed)
- Subjects aged between 40 and 80 years
- Both genders, of which at least 37% must be women to ensure representativeness
- Willingness and ability to comply with scheduled visits, laboratory tests, and other trial procedures
- Written informed consent obtained prior to performing any protocol-related procedures.
- High risk of developing Lung Cancer volunteers will be selected by Lung Cancer risk factors modelling.
Key exclusion criteria (8 listed)
- Subjects under 40 years of age
- Unable to be followed-up for at least 2-years or complete the study
- Subjects that do not sign the informed consent
- Current or prior history of lung cancer
- History of neoplasia in the previous 5 years except non-melanoma skin cancer
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
presence of pulmonary nodules
Time frame: 2 years
The main variable is the presence of pulmonary nodules identified by Low Dose Computerized Tomography (LDCT)
Lung Cancer diagnosis
Time frame: 2 years
The main variable is the presence of Lung Cancer diagnosis identified by Low Dose Computerized Tomography (LDCT).
65 secondary outcomes
Age
Time frame: 2 years
Gender
Time frame: 2 years
Ethnicity
Time frame: 2 years
Socioeconomic factors
Time frame: 2 years
Education level
Time frame: 2 years
height
Time frame: 2 years
weight
Time frame: 2 years
Body Mass Index
Time frame: 2 years
Blood pressure
Time frame: 2 years
heart rate
Time frame: 2 years
respiratory rate
Time frame: 2 years
Global Initiative for Obstructive Lung Disease (GOLD) classification
Time frame: 2 years
Medical record
Time frame: 2 years
Exposure to harmful agents
Time frame: 2 years
Exploratory Omics markers
Time frame: baseline
HEALTH-PROMOTING LIFESTYLE PROFILE II questionnaire (HPLP II)
Time frame: 2 years
Fantastic lifestyle Checklist
Time frame: 2 years
Mediterranean diet adherence questionnaire
Time frame: 2 years
EuroQoL-5D-5L questionnaire
Time frame: 2 years
The Alcohol Use Disorders Identification Test (AUDIT) questionnaire
Time frame: 2 years
Breath Analyzer (BAN) device
Time frame: 2 years
Wide-biomarker-spectrum Multi-Use Sensing Patch (WBSP)
Time frame: 2 years
Spectrometry-on-Card (SPOC)
Time frame: 2 years
Tumor pathology
Time frame: 2 years
Lung CT scan description
Time frame: 2 years
Forced Vital Capacity (FVC)
Time frame: 2 years
Forced Expiratory Volume in 1 second (FEV1)
Time frame: 2 years
FEV1/FVC ratio
Time frame: 2 years
Glucose
Time frame: baseline
HDL Cholesterol
Time frame: baseline
Iron
Time frame: baseline
C reactive protein
Time frame: baseline
Proteins
Time frame: baseline
Albumin
Time frame: baseline
LDL Cholesterol
Time frame: baseline
Ferritin
Time frame: baseline
Chloride
Time frame: baseline
Lactate dehydrogenase
Time frame: baseline
Triglycerides
Time frame: baseline
Transferrin Index
Time frame: baseline
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 25 Jun 2024.
- Background: PubMed 34164288van Meerbeeck JP, Franck C. Lung cancer screening in Europe: where are we in 2021? Transl Lung Cancer Res. 2021 May;10(5):2407-2417. doi: 10.21037/tlcr-20-890.
- Background: PubMed 33046839Oudkerk M, Liu S, Heuvelmans MA, Walter JE, Field JK. Lung cancer LDCT screening and mortality reduction - evidence, pitfalls and future perspectives. Nat Rev Clin Oncol. 2021 Mar;18(3):135-151. doi: 10.1038/s41571-020-00432-6. Epub 2020 Oct 12.
- Background: PubMed 36563698Adams SJ, Stone E, Baldwin DR, Vliegenthart R, Lee P, Fintelmann FJ. Lung cancer screening. Lancet. 2023 Feb 4;401(10374):390-408. doi: 10.1016/S0140-6736(22)01694-4. Epub 2022 Dec 20.
- Background: PubMed 34406177Gomez-Carballo N, Fernandez-Soberon S, Rejas-Gutierrez J. Cost-effectiveness analysis of a lung cancer screening programme in Spain. Eur J Cancer Prev. 2022 May 1;31(3):235-244. doi: 10.1097/CEJ.0000000000000700.
- Background: PubMed 33911981Thandra KC, Barsouk A, Saginala K, Aluru JS, Barsouk A. Epidemiology of lung cancer. Contemp Oncol (Pozn). 2021;25(1):45-52. doi: 10.5114/wo.2021.103829. Epub 2021 Feb 23.
- Background: PubMed 31575553Schabath MB, Cote ML. Cancer Progress and Priorities: Lung Cancer. Cancer Epidemiol Biomarkers Prev. 2019 Oct;28(10):1563-1579. doi: 10.1158/1055-9965.EPI-19-0221.
- Background: PubMed 34493867Zhang T, Joubert P, Ansari-Pour N, Zhao W, Hoang PH, Lokanga R, Moye AL, Rosenbaum J, Gonzalez-Perez A, Martinez-Jimenez F, Castro A, Muscarella LA, Hofman P, Consonni D, Pesatori AC, Kebede M, Li M, Gould Rothberg BE, Peneva I, Schabath MB, Poeta ML, Costantini M, Hirsch D, Heselmeyer-Haddad K, Hutchinson A, Olanich M, Lawrence SM, Lenz P, Duggan M, Bhawsar PMS, Sang J, Kim J, Mendoza L, Saini N, Klimczak LJ, Islam SMA, Otlu B, Khandekar A, Cole N, Stewart DR, Choi J, Brown KM, Caporaso NE, Wilson SH, Pommier Y, Lan Q, Rothman N, Almeida JS, Carter H, Ried T, Kim CF, Lopez-Bigas N, Garcia-Closas M, Shi J, Bosse Y, Zhu B, Gordenin DA, Alexandrov LB, Chanock SJ, Wedge DC, Landi MT. Genomic and evolutionary classification of lung cancer in never smokers. Nat Genet. 2021 Sep;53(9):1348-1359. doi: 10.1038/s41588-021-00920-0. Epub 2021 Sep 6.
- Background: PubMed 35402145Ramaswamy A. Lung Cancer Screening: Review and 2021 Update. Curr Pulmonol Rep. 2022;11(1):15-28. doi: 10.1007/s13665-021-00283-1. Epub 2022 Apr 2.
- Background: PubMed 33783822Ten Haaf K, van der Aalst CM, de Koning HJ, Kaaks R, Tammemagi MC. Personalising lung cancer screening: An overview of risk-stratification opportunities and challenges. Int J Cancer. 2021 Jul 15;149(2):250-263. doi: 10.1002/ijc.33578. Epub 2021 May 3.
- Background: PubMed 33227525Berghmans T, Lievens Y, Aapro M, Baird AM, Beishon M, Calabrese F, Degi C, Delgado Bolton RC, Gaga M, Lovey J, Luciani A, Pereira P, Prosch H, Saar M, Shackcloth M, Tabak-Houwaard G, Costa A, Poortmans P. European Cancer Organisation Essential Requirements for Quality Cancer Care (ERQCC): Lung cancer. Lung Cancer. 2020 Dec;150:221-239. doi: 10.1016/j.lungcan.2020.08.017. Epub 2020 Sep 4.
- Background: PubMed 26297204Lemjabbar-Alaoui H, Hassan OU, Yang YW, Buchanan P. Lung cancer: Biology and treatment options. Biochim Biophys Acta. 2015 Dec;1856(2):189-210. doi: 10.1016/j.bbcan.2015.08.002. Epub 2015 Aug 19.
- Background: PubMed 30955514Nasim F, Sabath BF, Eapen GA. Lung Cancer. Med Clin North Am. 2019 May;103(3):463-473. doi: 10.1016/j.mcna.2018.12.006.
- Lung Cancer Survival RatesLink provided by the sponsor.
- GLOBOCAN 2020: Estimated cancer incidence, mortality and prevalence worldwide in 2020Link provided by the sponsor.
- Proposal for a Council Recommendation on strengthening prevention through early detection: A new EU approach on cancer screening replacing Council Recommendation 2003/878/ECLink provided by the sponsor.
- Individual participant dataSharing planned: No
Related trials for Lung Cancer Screening
Not yet recruitingObservational study
PROMETHEE: A Shared Interregional Tele-Tobacco Cessation Platform Embedded Within the IMPULSION Lung Cancer Screening Program
Smoking Cessation, Lung Cancer Screening
Not yet recruiting
C-Raven LDCT: Lung Cancer Screening Intervention
Lung Cancer Screening
RecruitingObservational study
A Study of Lung Cancer Screening in People With Unexplained Weight Loss
Lung Cancer Screening
Enrolling by invitation
Personalizing Veterans' Lung Cancer Screening and Diagnosis
Lung Cancer Screening, Military Service-related Environmental and Occupational Exposures
Recruiting
Empowering Patients' Lung Cancer Screening Uptake (Empower LCS/Call+)
Lung Cancer Screening, Lung Neoplasms
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Jon E Idoyaga-Uribarrena, MPhar contact
Luis G Luque-Romero, MD principal investigator
Andaluz Health Service
David Vicente-Baz, MD principal investigator
Andaluz Health Service
Alvils Krams, MD principal investigator
University of Latvia
5 sites in 3 countries: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Lung Cancer Screening, run by Biobizkaia Health Research Institute at 5 sites in 3 countries.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 8 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 25 Jun 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 5 sites in Spain, Belgium, Latvia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Eunate Arana-Arri, PhD (+34 944881593 ext. 841593, eunate.aranaarri@osakidetza.eus), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
presence of pulmonary nodules (time frame: 2 years). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06473870, which also lists 26 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 25 Jun 2024; AzTrials last refreshed its copy on 7 Nov 2026.