The Effect of Chronic Stress on Efficacy of ICIs in Esophageal Cancer Patients (STRESS-ESCA Study) (STRESS-ESCA)

January 20, 2024 updated by: Fang Wu, Second Xiangya Hospital of Central South University

The Effect of Chronic Stress on Efficacy of Immune Checkpoint Inhibitors in Patients With Newly Diagnosed Esophageal Cancer

Chronic stress refers to a special emotional state caused by unexpected stress for a long time, with an increasing incidence in the population. It can cause the body to release hormones such as cortisol and adrenaline. Tumor patients often experience changes such as psychological and emotional abnormalities, decreased quality of life, and impaired social relationships. Under stimulation, patients often experience negative reactions such as anxiety or depression. Epidemiological studies have shown that stress can affect the prognosis of malignant tumors, but the effect of stress on the efficacy and prognosis of esophageal cancer is still unclear.

In animal models, chronic stress leads to an increase in tissue catecholamine levels, increased tumor burden, and increased invasiveness of ovarian cancer cells in mouse models. At the same time, stress can promote tumor neovascularization in mice. However, the mechanism by which chronic stress affects the occurrence and development of esophageal cancer is currently unclear. In addition to neurohumoral factors, chronic stress can cause changes in the gut microbiota, which in turn affects the body's digestion, metabolism, and immune function. It is a key gatekeeper of the immune response to tumors. Therefore, gut microbiota as an intermediate factor may also affect the occurrence and prognosis of various types of esophageal cancer.

Study Overview

Status

Recruiting

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

200

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

    • Hunan
      • Changsha, Hunan, China, 410011
        • Recruiting
        • Department of Oncology, The Second Xiangya Hospital, Central South University
        • 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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

200 cases of esophageal cancer patient are required and is divided into two groups: the experimental group (stress group) and the control group (non stress group) within each early and late stage group.

Description

Inclusion Criteria:

  1. Age ≥18 years and ≤ 75 years old
  2. Pathologically diagnosed as esophageal cancer
  3. Patient tumor tissue samples can be obtained
  4. At least one measurable lesion can be evaluated according to the RECIST 1.1 standard
  5. As a newly treated patient, they have not received systematic anti-tumor treatment for locally advanced or metastatic chest tumors
  6. There is no obvious abnormality in the electrocardiogram and no obvious cardiac dysfunction
  7. Hematology and liver and kidney function indicators meet the requirements

Exclusion Criteria:

  1. Merge with other malignant tumors
  2. Long term use of hormones or immunosuppressants
  3. Concomitant acute or chronic mental illness
  4. Patients who have been taking drugs that can alter the activity of the sympathetic nervous system for a long time or are currently taking them
  5. Other malignant diseases that require systematic treatment
  6. Patients who have undergone other clinical drug experiments before
  7. Patients with symptomatic brain metastases

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
Early esophageal cancer patients with chronic psychological stress
Chronic psychological stress includes symptoms of anxiety and depression.
Early esophageal cancer patients without chronic psychological stress
Advanced esophageal cancer patients with chronic psychological stress
Chronic psychological stress includes symptoms of anxiety and depression.
Advanced esophageal cancer patients without chronic psychological stress

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Objective Response Rate (ORR)
Time Frame: 3 years
The proportion of patients with a complete response or partial response to treatment according to Response Evaluation Criteria in Solid Tumors (RECIST v1.1)
3 years
Progression-free survival (PFS)
Time Frame: 3 years
Time from the beginning of first-line immunotherapy to the first progression(PD) in patients with advanced esophageal cancer
3 years
Effect of Chronic stress on efficacy of immune checkpoint inhibitors
Time Frame: 3 years

The chronic stress status including depression and anxiety symptoms.We will use two types of questionnaires, Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), as a whole to conduct a comprehensive psychological assessment of patients. And then evaluate the impact of chronic stress status on the efficacy of immune checkpoint inhibitors, including ORR, PFS, and OS.

PHQ-9 has 9 items, each on a scale of 0 to 3. The sum score (range 0 to 27) indicates the degree of depression, with scores of 5, 10, 15, and 20 represent mild, moderate, moderate to severe and severe levels of depression.

GAD-7 has 7 items, each on a scale of 0 to 3. Higher total scores (ranging from 0 to 21) indicate higher anxious symptoms with 5 to 9 classified as mild, 10 to 14 classified as moderate, and 15 to 21 classified as moderate-severe.

3 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Overall survival (OS)
Time Frame: 5 years
Overall survival (OS) is defined as the duration from the beginning of first-line immunotherapy until death due to any cause. Subjects who are still alive at the end of the study observation period will be censored at the time of last known vital status.
5 years
Effect of chronic stress on quality of life
Time Frame: 5 years

Chronic stress status including depression and anxiety symptoms.We will use Short Form Health Survey 36 (SF-36) and EORTC QLQ-C30 (version. 3) questionnaires as a whole to evaluate the quality of life of patients.

SF-36 includes 36 items and assesses the functional status and well-being on eight multi-item subscales. The total score on each SF-36 subscale ranges between 0 and 100. A greater score indicates better QoL.

The EORTC QLQ-C30 is composed of 9 multi-item scales: 5 functioning scales (physical, role, cognitive, emotional, and social), a global QOL scale, and 3 symptom scales (fatigue, pain, and nausea/vomiting). All scales and single items are linearly transformed to an 0-100 scale. A higher score represents a better level of functioning.

5 years

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
The correlation between gut microbiota and chronic stress and the efficacy of ICIs
Time Frame: 5 years
The baseline fetal is collected and assessed by 16S rRNA sequencing. We will measure the abundance of gut microbiota such as Bacteroides, Lactobacillus, and Ackermann's bacteria through 16s RNA sequencing. And expose the association between gut microbiota and chronic stress (PHQ-9 and GAD-7) and the efficacy of ICIs (ORR, PFS, and OS) during the enrolled observation process through correlation analysis.
5 years
The correlation between tumor microenvironment signature and chronic stress and the efficacy of ICIs
Time Frame: 5 years
The baseline paraffin-embedded tissue is collected and assessed by multiplex immunohistochemistry, including T lymphocytes, B lymphocytes, NK lymphocytes, macrophagocyte, and DC cells. And explore the association between tumor microenvironment signature and chronic stress (PHQ-9 and GAD-7) and the efficacy of ICIs (ORR, PFS, and OS) during the enrolled observation process through correlation analysis.
5 years
The correlation between peripheral immune cells signature and chronic stress and the efficacy of ICIs
Time Frame: 5 years
The baseline peripheral venous blood is collected and assessed by flow cytometry, including T lymphocytes, B lymphocytes, NK lymphocytes, macrophagocyte, and DC cells. And explore the association between peripheral immune cells signature signature and chronic stress (PHQ-9 and GAD-7) and the efficacy of ICIs (ORR, PFS, and OS) during the enrolled observation process through correlation analysis.
5 years

Collaborators and Investigators

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

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)

May 1, 2023

Primary Completion (Estimated)

May 1, 2026

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

May 24, 2023

First Submitted That Met QC Criteria

July 22, 2023

First Posted (Actual)

August 1, 2023

Study Record Updates

Last Update Posted (Actual)

January 23, 2024

Last Update Submitted That Met QC Criteria

January 20, 2024

Last Verified

January 1, 2024

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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