Metabolomic and Epigenetic Profiling of Bodyfluids From Lung and Brain Cancer Receiving Radiation Therapy
Biomarker Discovery for Toxicity and Survival in Radiation Oncology: An Integrative Molecular-Clinical Approach
2 other identifiers
observational
273
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2012
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 4, 2012
CompletedFirst Submitted
Initial submission to the registry
September 11, 2014
CompletedFirst Posted
Study publicly available on registry
October 8, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 17, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
September 17, 2025
CompletedApril 13, 2026
April 1, 2026
13 years
September 11, 2014
April 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
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
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 Outcomes (1)
Biomarkers that are prognostically significant on disease free or overall survival, identified using the survival analysis
Baseline
Study Arms (1)
Ancillary-Correlative
Prospectively collected blood, urine, and tissue samples are analyzed for potential predictive biomarkers via metabolomic and other molecular profiling.
Interventions
Eligibility Criteria
Patients diagnosed with lung, brain, prostate or cervical cancer that are being treated with radiation therapy.
You may qualify if:
- 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
You may not qualify if:
- Being an inmate
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Arthur G. James Cancer Hospital and Solove Research Institute at Ohio State University Medical Center
Columbus, Ohio, 43210, United States
Related Links
Biospecimen
Blood, urine, tissue
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Arnab Chakravarti, MD
Ohio State University Comprehensive Cancer Center
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
September 11, 2014
First Posted
October 8, 2014
Study Start
October 4, 2012
Primary Completion
September 17, 2025
Study Completion
September 17, 2025
Last Updated
April 13, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share