Metabolomic and Epigenetic Profiling of Bodyfluids From Lung and Brain Cancer Receiving Radiation Therapy

Lung Cancer Clinical Trial

Official title:

Biomarker Discovery for Toxicity and Survival in Radiation Oncology: An Integrative Molecular-Clinical Approach

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT02259218
• Other study ID #: OSU-11108
• Secondary ID: NCI-2014-01575
• Status: Active, not recruiting
• Start date: October 4, 2012
• Est. completion date: December 30, 2025

Study information

• Verified date: November 2023
• Source: Ohio State University Comprehensive Cancer Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

This research trial studies metabolomic and other molecular profiling to identify predictive biomarkers for radiation toxicity and survival in patients with lung or brain cancers receiving radiation therapy. Studying samples of blood, urine, and tissue from patients with lung or brain cancer in the laboratory may help doctors identify and learn more about biomarkers related to cancer and predict which patients are at higher risk for developing radiation side effects and how well patients will respond to radiation treatment.

Description:

PRIMARY OBJECTIVES: I. Metabolomic and epigenetic urine and blood profiles of patients undergoing radiation therapy for lung cancer associated with the development of radiation pneumonitis. II. Metabolomic and epigenetic urine and blood profiles of patients undergoing radiation therapy for brain cancer associated with the development of radiation necrosis. SECONDARY OBJECTIVES: I. Metabolomic and epigenetic urine, blood, and tissue profiles of patients undergoing radiation therapy for lung and brain cancer associated with survival. OUTLINE: Collected blood, urine, and tissue samples are analyzed for biomarkers via metabolomic and epigenetic profiling using mass spectrometry, array, and sequencing-based technology.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 273
• Est. completion date: December 30, 2025
• Est. primary completion date: December 30, 2024
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Consultation with the Radiation Oncology department of the Ohio State University (OSU) Comprehensive Cancer Center
• The following diagnoses will be included: malignant neoplasm of the brain; primary malignant neoplasm of trachea bronchus and lung; primary malignant neoplasm of the cervix uteri and primary malignant neoplasm the prostate

Exclusion Criteria:

• Being an inmate

Related Conditions & MeSH terms

• Adult Brain Tumor
• Lung Cancer
• Radiation Toxicity

Intervention

Other:
• laboratory biomarker analysis
Correlative studies

Locations

Country	Name	City	State
United States	Arthur G. James Cancer Hospital and Solove Research Institute at Ohio State University Medical Center	Columbus	Ohio

Sponsors (1)

Lead Sponsor	Collaborator
Ohio State University Comprehensive Cancer Center

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Potential predictive biomarkers for the development of radiation pneumonitis for lung cancer patients	For each biomarker, linear mixed model (with group and time interaction and repeated measurement for each patient over time) on the log-transformed expression level will be used to detect if it is differentially expressed after controlling for the effects of the co-variates (such as age, disease status, and treatment details).	Baseline
Primary	Potential predictive biomarkers for the development of radiation necrosis for brain cancer patients	For each biomarker, linear mixed model (with group and time interaction and repeated measurement for each patient over time) on the log-transformed expression level will be used to detect if it is differentially expressed after controlling for the effects of the co-variates (such as age, disease status, and treatment details).	Baseline
Secondary	Biomarkers that are prognostically significant on disease free or overall survival, identified using the survival analysis	Kaplan Meier analysis and logrank test to identify biomarkers that are prognostically significant.	Baseline

External Links

•   The Jamesline