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Breath Analysis for Cancer Detection

This study is looking at whether a breath test can help find different types of cancer early, including pancreas, liver, lung, ovarian, and breast cancer. Researchers will collect your breath samples using a simple mouthpiece. They will then analyze these samples using a special device called Proton Transfer Reaction Mass Spectrometry Analysis to look for specific patterns of chemicals (volatile organic compounds or VOCs) in your breath. The goal is to see if these patterns can help create a screening tool to detect cancer. You can join if you are 18 or older, understand English, and have a new or existing cancer diagnosis. The study hopes to enroll 2000 participants.

Study design
This is an observational study, meaning participants will be observed without receiving a specific treatment. It aims to enroll 2000 participants.
What's involved
You will be asked to provide a breath sample by exhaling normally into a disposable mouthpiece. You may also be asked to provide additional breath samples in the future.
Compensation
Not stated in the trial record.
Follow-up
The study will collect VOC signatures over 2 years and assess the accuracy of a machine learning algorithm over 1 year.

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NCT07732686

Analysis of Breath Volatile Organic Compounds Using Mass Spectrometry

Not Yet Recruiting
Not specifiedAges 18+Observational
University of Oklahoma
~2,000 participants
Updated 2026-07-29 on ClinicalTrials.gov
What's tested:Proton Transfer Reaction Mass Spectrometry Analysis

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
VOC Signature Collection.
Measured over 2 Years
+1 more outcome measured

Conditions

Pancreas Cancer
Hepatocellular Carcinoma
Lung Cancer
Ovarian Cancer
Breast Cancer
Head and Neck Cancer
Colon Cancer
Bladder Cancer
Other Cancer

Explore related trials

Bladder CarcinomaBreast CarcinomaColon CarcinomaHepatocellular CarcinomaLung CarcinomaMalignant Head and Neck NeoplasmMalignant Ovarian NeoplasmMalignant Pancreatic NeoplasmSolid Neoplasm

Where it's being run

1 sites across 1 states
Oklahoma1

Study leadership

  • Nirmal Choradia, MD · PRINCIPAL_INVESTIGATOR · University of Oklahoma - Stephenson Cancer Center

Who to contact

Lead Onco Nurse
[email protected]
405-271-8777
Email the study team

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

Age ≥ 18 at the time of consent. Male and female patients to be tested.
Capable of understanding written and/or spoken English language.
Able to provide informed consent.
Cancer of any type.
Newly diagnosed cancer and untreated or established diagnosis of cancer. For established cancer patients, no active anti-cancer treatment for more than one month (reasons for no treatment are such as relapse, progression of cancer, refractory, or intolerance to treatment etc.)

Exclusion

Under the age of 18.
Anticipated inability to complete breath sampling procedure.
Unable to provide informed consent.
Pregnant women
Active respiratory infection symptoms
Recent use of antibiotics
Difficulty in performing coached exhalation
Individuals who are unable to follow the instructions
Cancer patients who are on active treatment for cancer or have received cancer treatment within one month

What this trial measures

  • VOC Signature Collection.2 Years

    The successful collection of breath samples from 1000 cancer patients and 1000 healthy volunteers.

  • Assess the sensitivity of Machine Learning (ML) Algorithm In The Test Dataset.1 Years

    Using the training dataset, qualitative output generated by the PTR-MS instrument will be analyzed using machine learning methods to identify volatile organic compound (VOC) patterns associated with different cancer types, including pancreatic, esophageal, hepatocellular carcinoma, lung, and ovarian cancers. The trained machine learning model will be tested using the dataset.