Empowering Patients' Lung Cancer Screening Uptake (Empower LCS/Call+)
NCT07711691
Behavior, Cigarette Smoking
Anaheim, California, United States
View Trial DetailsNCT Number: NCT06473870
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.
Trial opening soon.
Get Notified40 year–80 year
All sexes
Observational
Centre Hospitalier Universitaire de Liège, Liège, Wallonia, Belgium
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
(for the 3 phases):
Inclusion criteria
for Phase 2: Precision Screening:
Inclusion criteria
for Phase 3: Diagnosis:
Exclusion criteria
Time frame: 2 years
The main variable is the presence of pulmonary nodules identified by Low Dose Computerized Tomography (LDCT)
Time frame: 2 years
The main variable is the presence of Lung Cancer diagnosis identified by Low Dose Computerized Tomography (LDCT).
Time frame: 2 years
years
Time frame: 2 years
Male/female
Time frame: 2 years
description of the ethnia
Time frame: 2 years
deprivation index
Time frame: 2 years
description of the education level
Time frame: 2 years
meter
Time frame: 2 years
kilograms
Time frame: 2 years
kg/m^2
Time frame: 2 years
Systolic and diastolic blood pressure in mmHg
Time frame: 2 years
beats/min
Time frame: 2 years
breaths/min
Time frame: 2 years
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.
Time frame: 2 years
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.
Time frame: 2 years
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).
Time frame: baseline
Dedicated blood samples will be specifically performed for a large Omics analysis.
Time frame: 2 years
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
Time frame: 2 years
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
Time frame: 2 years
0-14 points scale <9 points --> low adherence to Mediterranean diet >9 points --> High adherence to Mediterranean diet
Time frame: 2 years
Scoring from 0-100 points. 0 points low quality of life 100 high quality of life
Time frame: 2 years
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
Time frame: 2 years
Measurement of Volatile Organic Compounds (VOCs) of a breath sample for Lung Cancer early detection
Time frame: 2 years
Measurement of Volatile Organic Compounds (VOCs) in the sweat and skin headspace for Lung Cancer early detection
Time frame: 2 years
Measurement of biomarkers and signals from a blood sample for the early detection of lung cancer
Time frame: 2 years
Tumor biopsy will be carried out in order to classify and characterize it regarding its size and location.
Time frame: 2 years
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.
Time frame: 2 years
mL, %, Lower limit of Normal and z-score
Time frame: 2 years
mL, %, Lower limit of Normal and z-score
Time frame: 2 years
percentage (%)
Time frame: baseline
mg/dL
Time frame: baseline
mg/dL
Time frame: baseline
μg/dL
Time frame: baseline
mg/L
Time frame: baseline
g/dL
Time frame: baseline
g/dL
Time frame: baseline
mg/dL
Time frame: baseline
ng/mL
Time frame: baseline
mEq/L
Time frame: baseline
U/L
Time frame: baseline
mg/dL
Time frame: baseline
index
Time frame: baseline
mg/dL
Time frame: baseline
mg/dL
Time frame: baseline
mg/dL
Time frame: baseline
mg/dL
Time frame: baseline
U/L
Time frame: baseline
U/L
Time frame: baseline
U/L
Time frame: baseline
mg/dL
Time frame: baseline
U/L
Time frame: baseline
mg/dL
Time frame: baseline
mg/dL
Time frame: baseline
mEq/L
Time frame: baseline
mEq/L
Time frame: baseline
mg/dL
Time frame: baseline
ng/mL
Time frame: baseline
U/mL
Time frame: baseline
ng/mL
Time frame: baseline
ng/mL
Time frame: baseline
number of blood cells, composition and percentage
Time frame: baseline
mm/h
Time frame: baseline
seg
Time frame: baseline
mg/dL
Time frame: baseline
ratio
Time frame: baseline
seg
Time frame: 2 years
Participant's census tract identification (one for home address and one for workplace address)
Contact information is provided by the study sponsor or research team.
Eunate Arana-Arri, PhD
CONTACT
+34 944881593 ext. 841593
Jon E Idoyaga-Uribarrena, MPhar
CONTACT
+34 944881593 ext. 841593
Biobizkaia Health Research Institute
Other Gov
Acronym: LUCIA
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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