Clinical trial NCT03591978: Isolation of Circulating Pulmonary Cells in COPD and Its Relationship With Clinical Relevant Outcomes (IbICEnCa)
Official title: Isolation of Circulating Pulmonary Cells in COPD and Its Relationship With Clinical Relevant Outcomes.
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: COPD
COPD Exacerbation
COPD, Severe Early-Onset
Keywords: Disease progression
Circulating Pulmonary Cells
Lead sponsor: Universidad de Granada
Sponsor class: OTHER
Collaborators: name: Hospital de Alta Resolucion de Loja. Agencia Sanitaria Hospital de Poniente
name: Junta de Andalucia
First posted: 2018-07-19
Enrollment: 150
Sex: ALL
Minimum age (years): 35
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: PROBABILITY_SAMPLE
Study population: 20 healthy non-smokers, 30 healthy smokers and 100 patients with COPD (70 patients with mild to moderate disease- 35 of them below 60 years-old and 35 above 60 years-old-, and 30 patients with severe to very severe COPD -15 of them below 60 years-old and 15 above 60 years-old).

Brief summary: We have demonstrated for the very first time that it is possible to isolate CPCs (circulating pulmonary cells) in patients with COPD in a sample of 17 patients (with a recovery rate of nearly 40%) and none of 10 healthy, non- smokers controls with a patented method \[provisional Spanish Patent Application (P201730724)\], based on liquid biopsy methodology (Romero Palacios et at, submitted 2017), showing that patients with COPD and isolation of CPCs have a more severe disease (expressed as higher BODEx index) and a trend towards a higher rate of decline of lung function as well as an increased rate of exacerbations, suggesting that CPCs isolation could be of value as a diagnostic and prognostic tool identifying patients with more active diseases. However, due to the small sample, no definitive conclusions could be made. Moreover, as there were no healthy smokers included in this study, we couldn´t evaluate if CPCs could be isolated in this type of population.

The fact that CPCs could be isolated in a group of patients with COPD and its relationship with greater severity suggests that this could be a marker of progression of the disease and could detect those patients more likely to benefit from newer antiinflamatory therapies(17)

Detailed description: 1. HYPOTHESIS 1.1. MAIN HYPOTHESIS.

   * CPCs isolation is frequent in COPD patients and also (to a lower level) in smokers without COPD but is not possible in healthy non-smokers.
   * CPCs isolation is related to important clinical outcomes in COPD. 1.2. SECONDARY HYPOTHESIS.
   * CPCs isolation in COPD is related to a higher rate of decline of lung function, measured by changes in FEV1 during a 3 year period.
   * CPCs isolation in COPD is related to indirect measures of emphysema (DLCO and kCO).
   * Isolation of CPCs in COPD patients is related to a higher risk of exacerbations during follow- up.
   * Isolation of CPCs in COPD is related to a higher burden of symptoms, measured by standardized questionnaires as CAT (COPD Assessment Test) and mMRC (modified Medical Research Council Scale).
   * Isolation of CPCs in COPD is more frequent as disease progress to a more severe disease.
   * Isolation of CPCs in COPD is related to a higher extent of radiologic emphysema, measured by %LAA (percentage of low attenuation areas).
2. OUTCOMES. 2.1. PRIMARY OUTCOME 2.1.1. To evaluate the prevalence of CPCs isolation in peripheral blood from COPD patients, smoking and non-smoking healthy controls with a patented liquid-biopsy technique.

2.2. SECONDARY OUTCOMES 2.2.1. To establish if there are differences between CPCs isolation rates from COPD patients, smoking and non-smoking healthy controls 2.2.2. To evaluate the relationship between CPCs isolation and the degree of parenchymal destruction and empyshema expresed as DLCO and kCO.

2.2.3. To evaluate the relationship between CPCs isolation and emphysema degree expressed as CT scan measurements (% LAA).

2.2.4. To evaluate the relationship between historical FEV1decline and CPCs isolation in COPD patients.

2.2.5. To evaluate the relationship between prospective 1 year FEV1 decline and CPCs isolation in COPD patients.

2.2.6. To evaluate the impact of CPCs isolation on deterioriation of HRQoL in COPD using CAT scores at baseline and change from baseline during 1 year follow- up.

2.2.7. To evaluate the rate of moderate and severe exacerbations during 1-year follow up between COPD patients with and without CPCs isolation after adjustment for confounding variables 2.2.8. To evaluate the time to first moderate and severe exacerbation during 1-year follow up between COPD patients with and without CPCs isolation after adjustment for confounding variables.

2.2.9. To evaluate the rate of moderate and severe exacerbations during 1-year follow up between subjects with and without CPCs isolation after adjustment for confounding variables 2.2.10. To evaluate if there are differences in the rate of CPCs isolation between those patients with early onset COPD (defined as those with COPD before 60 years of age) and those with normal onset COPD (defined as those with COPD after 60 years of age).

2.2.11. To evaluate the time to first moderate and severe exacerbation during 1-year follow up between subjects with and without CPCs isolation after adjustment for confounding variables 2.2.12. To evaluate the impact of CPCs isolation on deterioriation of HRQoL in smoking subjects using CAT scores at baseline and change from baseline during 1 year follow- up.

2.2.13. To evaluate the relationship between prospective 1 year FEV1 decline and CPCs isolation in smoking and non-smoking controls. 3. MATERIAL AND METHODS 3.1. STUDY DESIGN This study is designed as an observational, longitudinal study, with one-year follow up- recruiting participants in a respiratory out patients office.

3.2. STUDY POPULATION. 3.2.1. Healthy non- smokers (n=20): adults aged more than 35 years-old, never smokers, without any significant respiratory disease.

3.2.2. Healthy smokers (n=30): adults aged ≥ 35 years- old, former or current smokers with an smoking history of at least 10 pack- years, with normal lung function (FEV1/FVC \>0.70 and FEV1 and FVC \> 80% predicted).

3.2.3. COPD patients (n=100): adults aged ≥ 35 years- old, former or current smokers with an smoking history of at least 10 pack- years, with a 2 year previous COPD diagnosis (FEV1/FVC postbronchodilatador \< 0.7) and regular inhaled treatment.

3.3. INCLUSION \& EXCLUSION CRITERIA: 3.3.1. Inclusion criteria 3.3.1.1. Adults of \>35 years-old. 3.3.1.2. Patients who have given written informed consent 3.3.1.3. Absence of respiratory infection or COPD exacerbation in the 4 previous weeks to baseline visit.

3.3.2. Exclusion criteria 3.3.2.1. Other respiratory condition apart from COPD, such as previous diagnosis of bronchial asthma, obstructive sleep apnoea, idiopathic pulmonary fibrosis, pulmonary tuberculosis, alpha1 antitrypsin deficiency.

3.3.2.2. Current or previous cancer history (even if the patient has been diagnosed \>5 years and there is no evidence of recurrence of disease).

3.3.2.3. Unwillingness to perform pulmonary function test or CT scan. 3.3.2.4. Participation in another investigational study or clinical trial. 3.4. STUDY VARIABLES. 3.4.1. Demograhic variables: demographic data on sex, age, anthropometric characteristics, ethnicity.

3.4.2. Toxic habits: tobacco consumption (expressed as pack-years), current or former smoker, alcohol abuse history, drug abuse history.

3.4.3. Medical history: previous and concomitant diseases, age since diagnosis, history of cardiovascular disease, history of metabolic syndrome, comorbidity indexes (Charlson index, COTE index).

3.4.4. Pharmacology treatment: current oral pharmacological treatments (dose, frequency and exposure history), current inhaled treatments (dose, frequency and exposure history) classified as LAMA monotherapy, LABA monotherapy, ICS/LABA FDC, ICS/LABA non-FDC, LAMA/LABA FDC, LAMA/LABA nonFDC, single triple therapy (ICS/LABA/LAMA FDC), splited triple therapy (ICS/LABA plus LAMA), iPDE4.

3.4.5. Non- pharmacological treatment: oxygen use (daily hours, time since first prescription, oxygen flow), non-invasive mechanical ventilation (daily use, time since first prescription), pulmonary rehabilitation.

3.4.6. COPD variables: age at diagnosis, COPD phenotype (frequent exacerbator, chronic bronchitis, emphysema- predominant, ACO), GOLD 2017 grade (A-B-C-D) severity of airflow limitation (based on FEV1% predicted), severity of disease based on multidimensional scores (BODE, BODEx indexes), lung function decline (from previous 2 years to end of one-year follow up, expressed as annualized rate of decline of FEV1 in mL/yr).

3.4.7. COPD Exacerbations: moderate exacerbations are defined as a change in respiratory symptoms that goes beyond the daily variation and needs systemic corticosteroids and/or antibiotic prescription. Severe exacerbations are defined as a change in respiratory symptoms that goes beyond the daily variation and needs hospital admission or ED for more than 24 hours.

3.4.8. Pulmonary function tests (PFTs):

* Spirometric measurements (FEV1 mL, FEV1% predicted, FVC mL, FVC% predicted, FEV1/FVC) and post bronchodilator (∆ FEV1mL; ∆ FEV1%) after inhalation of 400 mcgr of salbutamol.
* Body-plettismography measurements: FRC (expressed as mL and % predicted), RV (expressed as mL and % predicted), TLC (expressed as mL and % predicted) and RV/TLC ratio.
* Difussion capacity transfer for CO measurements : DLCO (expressed as absolute numbers and % predicted), kCO (expressed as absolute numbers and % predicted).

3.4.9. Patient reported outcomes (PROs): CAT® score (COPD Assessment Test), mMRC dyspnoea scale (modified Medical Research Council) 3.4.10. Imaging variables: a low-dose CT scan will be performed in each of the participants in the healthy smokers group and COPD, in order to determine the extent of the areas of emphysema (expressed as %LAA- percentage of Low-attenuation areas) and the airway compartment (expressed ad %WA- width of airway wall).

3.4.11. Blood biomarkers: a peripheral blood collection sample will be obtained in each participant in order to determine peripheral blood eosinophils (expressed as total eosinophil count \& percentage from total leucocyte count), peripheral PMN (expressed as total PMN count \& percentage from total leucocyte count), CPR (C- reactive protein) and fibrinogen.

3.4.12. CPCs isolation in peripheral blood: The CPCs isolation technique described above is actually protected by a provisional Spanish Patent Application (P201730724)

Eligibility criteria: Inclusion Criteria:

* Adults of \>35 years-old.
* Patients who have given written informed consent
* Absence of respiratory infection or COPD exacerbation in the 4 previous weeks to baseline visit.

Exclusion Criteria:

* Other respiratory condition apart from COPD, such as previous diagnosis of bronchial asthma, obstructive sleep apnoea, idiopathic pulmonary fibrosis, pulmonary tuberculosis, alpha1 antitrypsin deficiency.
* Current or previous cancer history (even if the patient has been diagnosed \>5 years and there is no evidence of recurrence of disease).
* Unwillingness to perform pulmonary function test or CT scan.
* Participation in another investigational study or clinical trial.

Primary outcomes:
measure: Evaluate the prevalence of CPCs isolation in peripheral blood from COPD patients, smoking and non-smoking healthy controls with a patented liquid-biopsy technique.
timeFrame: 1 year
Secondary outcomes:
measure: Establish if there are differences between CPCs isolation rates from COPD patients, smoking and non-smoking healthy controls
timeFrame: 1 year
measure: Evaluate the relationship between CPCs isolation and the degree of parenchymal destruction and empyshema expresed as DLCO and kCO
timeFrame: 1 year
measure: Evaluate the relationship between CPCs isolation and emphysema degree expressed as CT scan measurements (% LAA).
timeFrame: 1 year
measure: Evaluate the relationship between historical FEV1decline and CPCs isolation in COPD patients.
timeFrame: 2 year
measure: Evaluate the relationship between prospective 1 year FEV1 decline and CPCs isolation in COPD patients.
timeFrame: 1 year
measure: Evaluate the impact of CPCs isolation on deterioriation of HRQoL in COPD using CAT scores at baseline and change from baseline during 1 year follow- up.
timeFrame: 1 year
Other outcomes:
measure: Evaluate the rate of moderate and severe exacerbations during 1-year follow up between COPD patients with and without CPCs isolation after adjustment for confounding variables
timeFrame: 1 year
measure: Evaluate the time to first moderate and severe exacerbation during 1-year follow up between COPD patients with and without CPCs isolation after adjustment for confounding variables.
timeFrame: 1 year
measure: Evaluate if there are differences in the rate of CPCs isolation between those patients with early onset COPD (defined as those with COPD before 60 years of age) and those with normal onset COPD (defined as those with COPD after 60 years of age).
timeFrame: 1 year
measure: Evaluate the impact of CPCs isolation on deterioriation of HRQoL in smoking subjects using CAT scores at baseline and change from baseline during 1 year follow- up.
timeFrame: 1 year
measure: Evaluate the relationship between prospective 1 year FEV1 decline and CPCs isolation in smoking and non-smoking controls.
timeFrame: 1 year
Locations:
city: Loja
country: Spain
facility: Hospital de Alta Resolución de Loja
state: Granada
city: Almería
country: Spain
facility: Hospital Universitario de Torrecardenas
city: Granada
country: Spain
facility: Universidad de Granada- Facultad de Medicina
city: Granada
country: Spain
facility: GENYO, centro Pfizer- Universidad de Granada- Junta de Andalucía de inestigación genómica y oncológica
Study officials:
References: