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

November 30, 2023 updated by: Arnab Chakravarti, Ohio State University Comprehensive Cancer Center

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

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.

Study Overview

Status

Active, not recruiting

Detailed 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.

Study Type

Observational

Enrollment (Actual)

273

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ohio
      • Columbus, Ohio, United States, 43210
        • Arthur G. James Cancer Hospital and Solove Research Institute at Ohio State University Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients diagnosed with lung, brain, prostate or cervical cancer that are being treated with radiation therapy.

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Ancillary-Correlative
Prospectively collected blood, urine, and tissue samples are analyzed for potential predictive biomarkers via metabolomic and other molecular profiling.
Correlative studies

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Potential predictive biomarkers for the development of radiation pneumonitis for lung cancer patients
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).
Baseline
Potential predictive biomarkers for the development of radiation necrosis for brain cancer patients
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).
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Biomarkers that are prognostically significant on disease free or overall survival, identified using the survival analysis
Time Frame: Baseline
Kaplan Meier analysis and logrank test to identify biomarkers that are prognostically significant.
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Arnab Chakravarti, MD, Ohio State University Comprehensive Cancer Center

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 4, 2012

Primary Completion (Estimated)

December 30, 2024

Study Completion (Estimated)

December 30, 2025

Study Registration Dates

First Submitted

September 11, 2014

First Submitted That Met QC Criteria

October 5, 2014

First Posted (Estimated)

October 8, 2014

Study Record Updates

Last Update Posted (Estimated)

December 7, 2023

Last Update Submitted That Met QC Criteria

November 30, 2023

Last Verified

November 1, 2023

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • OSU-11108
  • NCI-2014-01575 (Registry Identifier: CTRP (Clinical Trial Reporting Program))

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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