Evaluating Prognostic Biomarkers for Malignant Pleural Mesothelioma
This study is testing a new way to understand the stage and outlook (prognosis) for people with malignant pleural mesothelioma. Currently, it's hard to know the cancer's stage before surgery or treatment. This research uses tissue samples from your diagnostic biopsy to study specific characteristics with tests like the MPT Test and CLDN15/VIM Test. The goal is to see if these tests can help doctors better classify your cancer stage and predict your prognosis before treatment. We are looking for adults aged 18 or older who have been diagnosed with malignant pleural mesothelioma and are having a diagnostic pleural biopsy, pleuroscopy, or VATS resection. Success for this study means validating a new method for predicting prognosis, measured over 4 years. The current recruitment status is unclear.
- Study design
- This is an interventional study planning to enroll 240 participants. It is not specified if it is randomized or blinded.
- What's involved
- If you join, doctors will collect pleural tissue samples during your routine diagnostic biopsy. This tissue will be stored and studied to test the new method.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary goal of the study is measured at 4 years, which suggests a follow-up period of at least that long.
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Prospectively Collected Pleural Biopsies for Validation of Malignant Pleural Mesothelioma Prognostic Biomarkers
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Raphael Bueno, MD · PRINCIPAL_INVESTIGATOR · Brigham and Women's Hospital
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Pre-treatment Prognostic Algorithm Validation4 years
The primary objective is to utilize a novel prognostic algorithm to predict the outcome of MPM patients. This algorithm includes 4 different tests: molecular, radiological, and blood based. It will be performed on 240 prospectively-collected samples. A score of 0-4 will be assigned to each patient and the data will be analyzed by a statistician