Identifying Unique Scent Signature of Lung Cancer Through Body Odor
NCT ID: NCT01527461
Last Updated: 2013-06-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
100 participants
OBSERVATIONAL
2012-02-29
Brief Summary
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Detailed Description
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Diagnosis and treatment of lung cancer in its early stages could increase the 5-year-survival rate by 3-4 fold with a potential for cure. Therefore, efforts are being made to develop new sensitive specified screening tools for detecting lung cancer at its' earliest stages.
A new emerging strategy for early detection of lung cancer is based on the recognition of the tumors metabolic signature, on the identification of specific biomarkers for the disease, such as the volatile organic compounds (VOC). Research has demonstrated that these compounds are released from the cancerous tissue from the early stages of the disease, and can be found in different bodily secretions.
The subjects, lung cancer patients and chronic obstructive pulmonary disease (COPD) patients, would be given cotton T-shirts with instructions to wear them without previously applying deodorant or any other similar personal hygiene products. Then, the shirts would be collected and 8 pieces (size:1cm\*3cm from the armpit areas) would be cut from each one.
Dogs for this study would be trained by the "Dogs for People" association. In the initial stage, 40 mixed breed dogs and 3-4 Springer spaniels would be exposed to sweat sample collected from cancer patients in order to get them acquainted with the scent. Then, it would be demanded of them to locate boxes containing T-shirt sample taken from cancer patients, from decoy boxes holding naïve T-shirts. Every sequence will include 4 boxes with a different ratio between the specimens(each time a different number of boxes will contain samples taken from cancer patients, 0,1,2,3 or 4 when the rest of the boxes would contain naïve T-shirts). The dogs would mark the specimen by sitting next to each relevant box (they will ignore the decoy boxes after sniffing them and identifying them as irrelevant).
The most prominent 8-9 dogs would continue to the experiment phase. Each training course would last for 5-10 minutes or for 8 successful identifications, depending on the training dog needs. Dogs would be rewarded with a treat (a dog biscuit) or with play time, depending on the dogs' nature.
In the experimental phase, the decoy boxes would hold sweat samples collected from COPD patients instead of naïve T-shirts. The dogs would be asked to locate boxes containing the T-shirt sample taken from the lung cancer patients, from the decoy boxes. Every sequence will include 4 boxes with a different ratio between the specimens (each time a different number of boxes will contain samples taken from cancer patients, 0,1,2,3 or 4 when the rest of the boxes would contain samples collected from COPD patients). The dogs would mark the specimen by sitting next to each relevant box (they will ignore the decoy boxes after sniffing them and identifying them as irrelevant).
The trainer would be oblivious to the targets' location.
Conditions
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Study Design
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PROSPECTIVE
Study Groups
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Lung Cancer Patients
diagnosed lung cancer patients .
No interventions assigned to this group
COPD Patients
COPD patients, not diagnosed with lung cancer.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Co morbidity of lung cancer and an additional malignancy combined.
* Patients taking part in another clinical trial and receiving any treatment for it.
ALL
No
Sponsors
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Sheba Medical Center
OTHER_GOV
Responsible Party
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Dr. Nir Peled MD, PhD
Head, Thoracic Cancer Research and Detection Center,Tel Hashomer, Israel
Principal Investigators
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Nir Peled, MD PhD FCCP
Role: PRINCIPAL_INVESTIGATOR
Sheba Medical Center
Locations
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Sheba Medical Center
Tel Hasomer, , Israel
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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SHEBA-11-9031-NP-CTIL
Identifier Type: -
Identifier Source: org_study_id
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