- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06637345
Identification of Prognostic and Predictive Biomarkers of Toxicity in Patients With Malignant Pleural Mesothelioma and Treated With High Doses of Radiotherapy (MESORTIBO) (MESORTIBO)
Malignant pleural mesothelioma (MPM) is a tumour that originates from the pleural layers (visceral and parietal) that envelop the lungs and the inner wall of the thoracic cage.
In other tumour contexts, numerous studies have demonstrated a synergistic effect between RT and Immune Checkpoint Inhibitors (ICIs), mainly due to immunogenic effects attributed to high doses of RT and ICIs-mediated activation of anti-tumour T lymphocytes.
Both treatments, RT and immunotherapy, have demonstrated a survival advantage in MPM, but are associated with non-negligible pulmonary toxicity. Therefore, the combination of these 2 therapeutic approaches requires a careful assessment of risk factors for the occurrence of toxicity. The identification of circulating biomarkers capable of predicting the onset of severe toxicity induced by radical radiation treatment is an important clinical need in MPM.
This study aims to monitor circulating biomarkers, such as molecules involved in inflammation and oxidative stress and cellular effectors modulated by radiation treatment and potentially associated with the development of toxicity and/or markers of an immunogenic effect of radiotherapy in the peripheral blood of subjects with malignant pleural mesothelioma for treatment with radical hemithoracic radiotherapy.
Study Overview
Status
Conditions
Detailed Description
Malignant pleural mesothelioma (MPM) is a tumour that originates from the pleural layers (visceral and parietal) that envelop the lungs and the inner wall of the thoracic cage.
In other tumour contexts, numerous studies have demonstrated a synergistic effect between RT and Immune Checkpoint Inhibitors (ICIs), mainly due to immunogenic effects attributed to high doses of RT and ICIs-mediated activation of anti-tumour T lymphocytes.
Both treatments, RT and immunotherapy, have demonstrated a survival advantage in MPM, but are associated with non-negligible pulmonary toxicity. Therefore, the combination of these 2 therapeutic approaches requires a careful assessment of risk factors for the occurrence of toxicity. The identification of circulating biomarkers capable of predicting the onset of severe toxicity induced by radical radiation treatment is an important clinical need in MPM.
This study aims to monitor circulating biomarkers, such as molecules involved in inflammation and oxidative stress and cellular effectors modulated by radiation treatment and potentially associated with the development of toxicity and/or markers of an immunogenic effect of radiotherapy in the peripheral blood of subjects with malignant pleural mesothelioma for treatment with radical hemithoracic radiotherapy.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Alberto Revelant, MD
- Phone Number: 0434 659 159
- Email: alberto.revelant@cro.it
Study Locations
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Pordenone
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Aviano, Pordenone, Italy, 33081
- Recruiting
- Centro di Riferimento Oncologico (CRO) di Aviano - IRCCS
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Contact:
- Alberto Revelant, MD
- Phone Number: 0434 659 159
- Email: alberto.revelant@cro.it
-
Principal Investigator:
- Alberto Revelant, MD
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Principal Investigator:
- Elena Muraro, PhD
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Over 18 years of age;
- Ability to understand, accept and sign consent informed;
- Histological diagnosis of malignant pleural mesothelioma;
- Previous administration of chemotherapy;
- Previous non-radical surgical approach (diagnostic thoracoscopy or R1-R2 surgery);
- Subject eligible for or already treated with RT on hemithorax for radical purposes (50 Gy in fractions on hemithorax + possible boost 60 Gy on residual PET+)
Exclusion Criteria:
- Disease not histologically established
- Progression pattern not amenable to radiation treatment (ipsilateral or metastatic intrathoracic extensive disease);
- Metastatic patient at diagnosis.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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Retrospective cohort
Patients treated with RT with radical intent from 01 January 2014 to the date of study approval
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Prospective cohort
Patients eligible for radical intent radiotherapy treatment radical, from the date of study approval
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Association between biomarker levels measured at the end of radiation treatment and pulmonary toxicity of grade ≥2 associated with RT developed as an acute (within 6 months) or late (after 6 months) event
Time Frame: up to 36 months
|
Differences in fold change of selected biomarkers, between subjects experiencing or not experiencing acute or late toxicity
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up to 36 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Relation between the severity of radio-induced toxicity and trend of biomarkers associated with it
Time Frame: up to 36 months
|
Evaluation of linear trend of biomarkers fold change in relation with toxicity severity
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up to 36 months
|
|
Identifying biomarkers associated with lung toxicity potentially predictive of pulmonary fibrosis
Time Frame: up to 36 months
|
Difference in frequencies of selected biomarkers between subgroups of patients with or without pulmonary fibrosis
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up to 36 months
|
|
Identifying signs of radio-induced immunomodulation among significant changes induced by hemithoracic radical radiotherapy in analysed biomarkers
Time Frame: up to 36 months
|
difference in median values of selected biomarkers before and after treatment
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up to 36 months
|
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Association between the levels of biomarkers measured at the end of treatment radiation and overall survival (OS) at 24 months
Time Frame: 24 moths after end of treatment
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Relation between overall survival and levels of biomarkers fold change using Cox regression.
OS will be defined as time from beginning of the therapy until death from any cause or end of follow-up, whichever comes first.
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24 moths after end of treatment
|
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To assess the prognostic potential of basal levels of analysed biomarkers
Time Frame: up to 36 months
|
Relation between OS and pretreatment levels of selected biomarkers.
Levels of biomarkers will be dichotomized based on pretreatment median value.
Kaplan-Meier method and log rank test will be used.
OS will be defined as time from beginning of the therapy until death from any cause or end of follow-up, whichever comes first.
|
up to 36 months
|
|
Association between the levels of biomarkers variation (between baseline and treatment end) and Progression Free Survival (PFS) at 12 months
Time Frame: 12 months after end of treatment
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Relation between PFS and levels of biomarkers fold change compared to pre-treatment value.
PFS will be defined as time from beginning of the therapy until objective PD, death or end of follow-up, whichever comes first.
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12 months after end of treatment
|
Collaborators and Investigators
Investigators
- Principal Investigator: Alberto Revelant, MD, Centro di Riferimento Oncologico (CRO) di Aviano - IRCCS
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- CRO-2023-63
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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