Fatigue and Molecular Mechanisms in Cancer Patients Receiving CCRT

September 9, 2025 updated by: University of California, San Francisco

An Evaluation of Changes in the Relationships Between Fatigue and Molecular Mechanisms in Cancer Patients Receiving Curative-Intent Combined Chemotherapy and Radiation Therapy (CCRT)

Cancer-related fatigue (CRF) is a significant problem for cancer patients. This prospective, basic science, observational study will evaluate for changes in CRF associated with molecular characteristics prior to, during, and at the completion of non-investigational, standard-of-care, combined chemotherapy and radiation therapy (CCRT) and to develop and assess predictive models for CRF severity.

Study Overview

Detailed Description

Primary Objective For mean, morning and evening CRF:

Aim 1. Evaluate for associations between phenotypic characteristics and initial levels and the trajectories of CRF.

Aim 2. Evaluate for associations between changes in CRF severity and changes in gene expression levels prior to the initiation and at the end of CCRT.

Aim 3. Evaluate for associations between changes in CRF severity and changes in circulating free cytokine levels prior to the initiation and at the end of CCRT.

Aim 4. Develop and assess predictive models for CRF severity midway, at the end of, and at least six months post-CCRT using demographic, clinical, and molecular characteristics collected prior the initiation of CCRT.

Secondary Objectives For the commonly co-occurring symptom of chemotherapy-induced peripheral neuropathy (CIPN):

Secondary Aim 5. Evaluate for associations between phenotypic characteristics and initial levels and the trajectories of CIPN.

Secondary Aim 6. Evaluate for associations between changes in CIPN severity and changes in gene expression levels prior to the initiation and at the end of CCRT.

Secondary Aim 7. Evaluate for associations between changes in CIPN severity and changes in circulating free cytokine levels prior to the initiation and at the end of CCRT.

Secondary Aim 8. Develop and assess predictive models for CIPN severity midway, at the end of, and at least six months post-CCRT using demographic, clinical, and molecular characteristics collected prior the initiation of CCRT.

Exploratory Aim 1 - Evaluate the feasibility of the protocol for the collection of stool samples.

Exploratory Aim 2 - Evaluate the feasibility of processing and storing stool samples.

Exploratory Aim 3 - Evaluate the feasibility of processing and storing performing blood samples and performing Cytometry by time of flight (CyTOF) assays.

Study Type

Observational

Enrollment (Estimated)

125

Contacts and Locations

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

Study Contact

Study Locations

    • California
      • San Francisco, California, United States, 94143
        • Recruiting
        • University of California, San Francisco
        • Contact:
        • Principal Investigator:
          • Sue Yom, MD
        • Contact:
        • Principal Investigator:
          • Kord M Kober, PhD

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Adult cancer patients willing to travel to San Francisco, receiving CCRT at University of California, San Francisco (UCSF) for cancers of the head and neck, gynecological, gastrointestinal, or thoracic sites.

Description

Inclusion Criteria:

  • Participants have not received any prior treatment (i.e., cancer systemic therapies or radiation therapy) in the month except surgery or inductive Chemotherapy (CTX).
  • Participants receiving >= 15 fractions.
  • Participants is male or female and is >18 years of age on the day of signing the informed consent.
  • Ability to understand a written informed consent document.
  • Able and willing to complete all of the study questionnaires and provide blood and stool samples prior to, midway, and following the completion of treatment.
  • Willing to have medical records reviewed for clinical information.
  • Able to read, write and understand English or Spanish.

Exclusion Criteria:

  • Contraindication to phlebotomy for removal of approximately 50 mL of peripheral blood within 6 week period (Institutional Review Board (IRB) limit).

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
Cancer Patients
Participants will have blood and stool samples collected within 5 days of any pre or post treatment timepoint prior to, during, at completion of therapy and up to 34 weeks following non-investigational, standard of care, CCRT. Participants will also be given quality of life questionnaires to complete throughout the course of the study.
Blood samples will be obtained throughout the course of the study
Other Names:
  • Blood Specimen
Stool samples will be obtained throughout the course of the study
Other Names:
  • Stool Specimen
Surveys will be given throughout the course of the study.
Other Names:
  • Quality of Life Surveys

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Measure associations between changes in cancer-related fatigue (CRF) and changes in gene expression over time
Time Frame: Up to 34 weeks
Association between phenotypic characteristics and initial levels and trajectories of CRF severity will be assessed using a hierarchical linear model (HLM) approach.
Up to 34 weeks
Measure associations between changes in CRF and changes in cytokine levels over time
Time Frame: Up to 34 weeks
Association between changes in CRF severity and biomarker levels prior to the initiation and at the end of CCRT. Linear regression will be used to evaluate for associations between fatigue changes and biomarker levels at baseline controlling for covariates identified in the initial primary outcome. Adjustments for multiple comparisons will be conducted using the Benjamini-Hochberg (BH) procedure at a false discovery rate (FDR) of 10%.
Up to 34 weeks
Measure associations between changes in CRF and changes in gene expression over time
Time Frame: Up to 34 weeks
Association between changes in CRF severity and gene expression prior to the initiation and at the end of CCRT. Linear regression will be used to evaluate for associations between fatigue changes and biomarker levels at baseline controlling for covariates identified in the initial primary outcome. Adjustments for multiple comparisons will be conducted using the Benjamini-Hochberg (BH) procedure at a false discovery rate (FDR) of 10%.
Up to 34 weeks
Evaluate the predictive utility of gene expression and cytokine data
Time Frame: Up to 34 weeks
A validated prediction model of CRF severity will be generated using machine learning (ML) methods to minimize the error between predicted and observed levels of fatigue midway through CCRT, at the completion of CCRT, and at least six months following the completion of CCRT. Evaluation of common ML algorithms for prediction accuracy and evaluation of model performance as compared to simple linear regression. Separate training and testing sets will be created, cross-validated, and repeated and impact of each variable will be determined.
Up to 34 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluate for associations between changes in chemotherapy-induced peripheral neuropathy (CIPN) and changes in gene expression
Time Frame: Up to 34 weeks
The association between phenotypic characteristics and initial levels and trajectories of CIPN severity will be evaluated using a hierarchical linear model (HLM) approach.
Up to 34 weeks
Evaluate for associations between changes in CIPN and changes in cytokine levels
Time Frame: Up to 34 weeks
The association between phenotypic characteristics and initial levels and trajectories of CIPN severity will be evaluated using a hierarchical linear model (HLM) approach.
Up to 34 weeks
Evaluate the predictive utility of gene expression and severity of CIPN
Time Frame: Up to 34 weeks
The association between changes in CIPN severity and gene expression prior to the initiation and at the end of CCRT. Linear regression will be used to evaluate for associations between CIPN changes and gene expression at baseline controlling for covariates identified in previous objectives/endpoints. Adjustments for multiple comparisons will be performed using the Benjamini-Hochberg (BH) procedure at a false discovery rate (FDR) of 10%.
Up to 34 weeks
Evaluate the predictive utility of cytokine levels and severity of CIPN
Time Frame: Up to 34 weeks
The association between changes in CIPN severity and cytokine levels prior to the initiation and at the end of CCRT. Linear regression will be used to evaluate for associations between CIPN changes and cytokine levels at baseline controlling for covariates identified in previous objectives/endpoints. Adjustments for multiple comparisons will be performed using the Benjamini-Hochberg (BH) procedure at a false discovery rate (FDR) of 10%.
Up to 34 weeks
Evaluate the predictive model of severity of CIPN
Time Frame: Up to 34 weeks
The predictive utility will be assessed through a validated prediction model of CIPN severity using machine learning (ML) methods to minimize the error between predicted and observed levels of CIPN midway through CCRT, at the completion of CCRT, and at least six months following the completion of CCRT. We will evaluate common ML algorithms for prediction accuracy and evaluate their performance as compared to simple linear regression
Up to 34 weeks

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Sue Yom, MD, University of California, San Francisco

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)

December 27, 2024

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

September 1, 2027

Study Registration Dates

First Submitted

October 7, 2024

First Submitted That Met QC Criteria

October 7, 2024

First Posted (Actual)

October 9, 2024

Study Record Updates

Last Update Posted (Estimated)

September 16, 2025

Last Update Submitted That Met QC Criteria

September 9, 2025

Last Verified

September 1, 2025

More Information

Terms related to this study

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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