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Lung Cancer Detection by Measuring Monocyte Activity

Lung Cancer Detection and Staging by Extracellular Monitoring of Metabolic Activity Profiles of Peripheral Blood Mononuclear Cells (PBMC)

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02090166
Acronym
EDLC
Enrollment
950
Registered
2014-03-18
Start date
2014-04-30
Completion date
2021-01-31
Last updated
2014-03-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer

Brief summary

Purpose: To evaluate the performance of Extracellular Monitoring of Metabolic Activity Profiles of Peripheral Blood Mononuclear Cells (PBMC) analysis method in identifying lung cancer. The study population will include a total of 950 participants, patients with lung cancer before any treatment, and healthy and COPD patients as a control group.

Detailed description

The purpose of the study is to evaluate the performance of Extracellular Monitoring of Metabolic Activity Profiles of Peripheral Blood Mononuclear Cells (PBMC) analysis method in identifying lung cancer. The analysis method described in this protocol is a novel simple plausible immunological approach which is non-invasive, high throughput, real-time quantitative monitoring of metabolic activity (MA) profiles of fresh Peripheral Blood Mononuclear Cells (PBMC) in response to various reagents at different concentrations. Study Design Prospective, three groups, open, comparative, controlled study. No. of Sites One Study Population Man and Women aged 18 - 90 years old. No. of Subjects A total of 950 completed, evaluated subjects will be enrolled in this study. The groups sample size is as follows: Group 1 - 75 subjects Group 2 - 75 subjects Group 3 - 150 subjects Group 4 - 650 subjects Primary End Point 1. Positive and negative diagnosis (scored 0/1 dichotomously) in accordance with clinical data collected Data Analysis and Statistics Multiple MA profiles including a huge number of MA rates values are obtained for each subject. In order to develop a dynamic clinical analysis that is updated with every new subject, and to extract patterns from this large data base, The research team designed computer programming using Data Mining tools, which combine methods from statistics and artificial intelligence with database management. Blood test will be perform from each subject. The blood sample in eah subject will be compare to his status : healthy non smoker, healthy smoker, COPD or diagnosed with lung cancer.

Interventions

OTHERBlood test

a blood test will be taken from each patient

Sponsors

Tel Aviv University
CollaboratorOTHER
Carmel Medical Center
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

1. Subject signed the informed consent. 2. Subject is between 18 to 90 years old. 3. Lung cancer diagnosis before any treatment

Exclusion criteria

1. Lung cancer patients 2. Subject has been previously treated for any type of malignant or benign tumor (for example: colon or uterus polyps removal). 3. Subject has active infection or inflammation determined clinically at screening. 4. Subject is currently treated with concomitant medication related directly or can affect the immune system. 5. Subject lactating or undergoing fertility treatment. 6. Subject has impaired judgment. 7. Known positive HIV, hepatitis B, or hepatitis C, autoimmune disease. 8. Known history of a significant medical disorder, which in the investigators' judgment contraindicates the patient's participation. 9. Known hypersensitivity and/or allergy 10. Drug or alcohol abuse (by history). 11. Subject is participating in any other clinical trial, drug or device study within 30 days prior sample collection 12. Relatives of the study investigators or employees of the study investigators are not allowed to participate in the study \-

Design outcomes

Primary

MeasureTime frame
Positive and negative diagnosis (scored 0/1 dichotomously) of lung cancer1 year

Countries

Israel

Contacts

Primary ContactYochai Adir, MD
yochaiad@clalit.org.il+972-4-8250517
Backup ContactAmer Ubaid
AmerUb@clalit.org.il+972-4-8250515

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026