Using Urine Samples to Identify Lung Cancer

Launched by MEMORIAL SLOAN KETTERING CANCER CENTER · Sep 5, 2023

Keywords

ClinConnect Summary

This clinical trial is exploring a new way to detect non-small cell lung cancer (NSCLC) using urine samples. Researchers are using specially trained animals that can smell certain chemicals in urine. They believe that people with lung cancer have unique chemicals in their urine that are not found in those without the disease. This test aims to identify lung cancer without needing more invasive methods, like a biopsy.

To participate in this study, you need to be between 18 and 90 years old and fit into one of three groups: you have a confirmed diagnosis of NSCLC, you are suspected of having it but haven’t been diagnosed yet, or you have been confirmed not to have it at all. Participants will provide urine samples, and those who meet the criteria will help researchers understand if this method can be a reliable way to detect lung cancer. It’s important to note that certain individuals, such as those under 18, pregnant women, or those who have received recent cancer treatment, are not eligible to participate. If you’re interested, this study is currently recruiting participants.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Phase I (with NSCLC): Aged 18 to 90 years with histologically proven, previously untreated stage I, II, or IIIA NSCLC
• • °Note: Single, monolateral nodule of at least 50% solid composition visible on a Chest CT scan that is suspicious for a primary neoplasm as confirmed by an official MSK radiologist read
• • Phase I (without NSCLC): Aged 18 to 90 years with patient confirmed absence of NSCLC
• • Phase II: Aged 18 to 90 years with suspected but undiagnosed stage I, II, or IIIA NSCLC by CT and/or PET scan criteria
• Exclusion Criteria:
• • Aged \<18 years
• • Lack of available results from low-dose CT
• • Receipt of radiation, chemotherapy, biological therapy, resection, or any other treatment for any cancer in the previous year
• • Pregnant (for women)
• • Taking drugs that affect the immune system
• • Chronic disease related to the immune system
• • Missing clinical data (i.e., current clinical staging)