Arthur G. James Cancer Hospital and Solove Research Institute at Ohio State University Medical Center
Columbus, Ohio, 43210, United States
NCT Number: NCT02259218
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.
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Notify Me18 year and older
All sexes
Observational
Columbus, Ohio, 43210, United States
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Correlative studies
Time frame: Baseline
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).
Time frame: Baseline
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).
Time frame: Baseline
Kaplan Meier analysis and logrank test to identify biomarkers that are prognostically significant.
Ohio State University Comprehensive Cancer Center
Other
Biomarker Discovery for Toxicity and Survival in Radiation Oncology: An Integrative Molecular-Clinical Approach
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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