Pleural Effusion Clinical Trial
Official title:
Evaluation of Multiple Biomarkers in Serum and Pleural Fluid to Estimate the Probability of Cancer in Patients Presenting With an Undiagnosed Pleural Effusion
The purpose of this clinical trial is to evaluate the ability of various biomarkers measured in serum and/or pleural fluids to estimate the risk of finding cancer in patients with undiagnosed pleural effusions. An algorithm for prediction of the risk of finding cancer in the patient using an optimal combination of markers will be developed, and patients will be categorized as having a low, moderate, or high risk of finding cancer that might be used to more effectively triage patients.
Approximately 1.6 million cases of pleural effusion are seen in the US per year, with
~210,000 of those cases due to underlying malignancy. Pleural fluids have traditionally been
divided into two types: transudative and exudative. The most common causes of transudative
pleural effusion are congestive heart failure and cirrhosis. Common causes of exudative
pleural effusion include malignancy, pneumonia, pulmonary embolism and viral infection. One
study found that 42% of all exudative effusions were due to malignancy, and another found
that malignancy was the underlying cause of 24% of all effusions. Differential diagnosis of
the various causes of effusions is complex and includes gross appearance of the pleural
fluid (PF), differential cell count, cytology, glucose and LDH levels, and sometimes
adenosine deaminase (ADA) levels. In addition, spiral CT scans, bronchoscopy, thoracoscopy,
needle biopsy of the pleura, and video assisted thoracoscopy (VATS) are all utilized to
determine the underlying cause of pleural fluid accumulation. These procedures are expensive
and may be traumatic to patients. In approximately 20% of patients presenting with pleural
fluid accumulation, no underlying cause will be established. Despite promising results
published in peer-reviewed journals over the last two decades, serum biomarkers have not
gained acceptance as a standard of care in the management of patients with lung cancer,
mesothelioma, or pleural effusion. The purpose of this clinical trial is to evaluate the
ability of various biomarkers measured in serum and/or pleural fluids to estimate the risk
of finding cancer in patients with undiagnosed pleural effusions. An algorithm for
prediction of the risk of finding cancer in the patient using an optimal combination of
markers will be developed, and patients will be categorized as having a low, moderate, or
high risk of finding cancer that might be used to more effectively triage patients. For
example, a high risk of cancer may be used to justify more invasive or expensive procedures,
such as spiral CT scans and thoracoscopy.
This is a prospective, multi-center, double-blind, statistically powered clinical trial that
will enroll patients scheduled to undergo a procedure for removal of fluid from a pleural
effusion (i.e. thoracentesis, thoracoscopy, image guided thoracentesis, thoracotomy, chest
tube placement, Pleurex® catheter insertion, etc.).
The primary objective of the study is to evaluate the ability of multiple biomarkers in
serum and/or pleural fluid to estimate the risk of finding cancer in subjects presenting
with an undiagnosed pleural effusion (i.e. unknown origin).
The secondary objective of the study is to compare the ability of multiple biomarkers in
serum and/or pleural fluid combined with pleural fluid cytology and other laboratory results
to the use of the multiple biomarkers alone to estimate the risk of finding cancer in
subjects presenting with an undiagnosed pleural effusion.
The research objectives of the study are the evaluation of the utility of multiple
biomarkers in serum and/or pleural fluid to predict the tissue of origin in subjects with
cancer who presented with an undiagnosed pleural effusion and comparison of these results to
pleural fluid cytology. Correlation of the biomarker levels in the serum and pleural fluid
will be evaluated as well.
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Observational Model: Cohort, Time Perspective: Prospective
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