Analyzing the Composition of Tears to Identify Cancer

Completed · Phase 1/Phase 2

Conditions studied: Breast Cancer, Ovarian Cancer, Colon Cancer, Benign Disease

In brief

This study will further evaluate the use of protein identification or protein pattern (signature) found in tears. We hypothesize that differences exist between the protein profile in tear fluid from patients with versus without cancer.

Key facts

Study ID

NCT00574678

Run by

University of Arkansas

People needed

150

Starts

2006-12-01

Expected to finish

2016-02-01

Last updated by the study team

2021-08-05

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Female or male, 18-100 years old
• Patients who present for a routine check-up
• Patients who present for the evaluation of an abnormal exam or test (mammogram, ultrasound, MRI, PET, etc.)
• May or may not have a mass present
• Patients who present for the evaluation of a palpable lump or mass
• Patients may be pre or post biopsy for a mass, as long as there is a portion of the mass remaining

You may not qualify if…

• Patient < 18 y/o or > 100 y/o
• Concurrent eye infection or trauma
• Active conjunctivitis
• Abnormal production of tears (too much or too little)

Where it is running

• University of Arkansas For Medical Sciences — Little Rock, Arkansas, United States

Full record on ClinicalTrials.gov

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