Impact of Low Muscle Mass in HNC Treated With Immunotherapy (IMMUNONUTRI)

January 21, 2021 updated by: Institut Català d'Oncologia

Impact of Body Composition on the Prognosis and Toxicity of Patients Diagnosed With Recurrence or Metastasic Squamous Cell Carcinoma of the Head and Neck (SCCHN) Treated With Immune Checkpoint Inhibitors (ICI)

The purpose of the study is to evaluate the baseline muscle mass as a predictive biomarker of treatment response in patients with recurrence or metastatic squamous cell carcinoma of the head and the neck (SCCHN) treated with immune checkpoint inhibitors (ICI)

Study Overview

Status

Recruiting

Detailed Description

Body composition including sarcopenia (loss of muscle mass), sarcopenic obesity, and mioesteaosis has been well reported to be an independent predictors of mortality, toxicity, and complications in cancer patients with different locations and treatments. However, there are currently no data on impact of body composition and the oncological outcomes in SCCHN patients treated with immune checkpoint inhibitors (ICI) due to recurrence or metastasic disease.

Study Type

Observational

Enrollment (Anticipated)

120

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

    • Barcelona
      • L'Hospitalet De Llobregat, Barcelona, Spain, 08908
        • Recruiting
        • Institut Catala d'Oncologia
        • Contact:

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

14 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

A longitudinal prospective study will be carried out of 120 patients with a diagnosis of recurrence or metastatic SCCHN who start treatment with immunotherapy-based regimens at the Institut Català d'Oncologia- L'Hospitalet from November 2020 until the necessary sample size is completed.

Description

Inclusion Criteria:

  • Patients diagnosed with recurrence or metastatic SCCHN treated with antiPDL1, antiPD1 or antiCTLA-4 drugs, alone or in combination within our institution.
  • Patients who have previously signed informed consent.
  • Patients with measurable tumor lesions.

Exclusion Criteria:

  • Patients with non-measurable lesions.
  • Patients who do not sign the informed consent.
  • Patients not treated with immunotherapy.
  • Patients in a double-blind trial in whom the assigned branch is not known.

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluate the baseline muscle mass as a predictive biomarker of treatment response in patients with recurrence or metastatic squamous cell carcinoma of the head and the neck (SCCHN) treated with immune checkpoint inhibitors (ICI)
Time Frame: at baseline
Assessed by CT scan at L3 level
at baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
- To evaluate the impact of malnutrition and weight loss on overall survival, recurrence-free survival, locoregional control, and toxicity in patients with recurrence or metastatic SCCHN treated with immunotherapy-based regimens.
Time Frame: 2-3 months and 6 months
Evaluated by full nutritional assessment
2-3 months and 6 months
Evaluate baseline muscle mass as a predictive biomarker of toxicity
Time Frame: 2-3 months and 6 months
Assessed by CT scan at L3 level
2-3 months and 6 months
Evaluate the impact of adipose tissue as a predictor of survival and toxicity
Time Frame: 6 months
Assessed by CT scan at L3 level including total adipose tissue, subcutaneous, visceral and intramuscular fat mass
6 months
Evaluate changes in body composition
Time Frame: 2-3 months and 6 months
Assessed by CT scan at L3 level
2-3 months and 6 months
Evaluate the need for nutritional support throughout the treatment and the type if so
Time Frame: through study completion, on average of 6 months
Evaluated after performed full nutritional assessment by a checklist with all different options
through study completion, on average of 6 months
Observe the correlation of a lower muscle mass with an increase in inflammatory parameters and oncological outcomes
Time Frame: 2-3 months and 6 months
Assessed by CT scan at L3 level and blood sample
2-3 months and 6 months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Lorena Arribas, Institut Catlà d'Oncologia

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)

January 20, 2021

Primary Completion (Anticipated)

November 1, 2023

Study Completion (Anticipated)

August 1, 2024

Study Registration Dates

First Submitted

November 25, 2020

First Submitted That Met QC Criteria

January 21, 2021

First Posted (Actual)

January 22, 2021

Study Record Updates

Last Update Posted (Actual)

January 22, 2021

Last Update Submitted That Met QC Criteria

January 21, 2021

Last Verified

January 1, 2021

More Information

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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