Sleep Disorders and Tumor Immune Microenvironment

April 16, 2025 updated by: Shanghai Zhongshan Hospital

Prospective Clinical Study Design: the Association of Sleep Disorders With Tumor Immune Microenvironment and Prognosis of Lung Cancer

Title: Impact of Sleep Disorders on Tumor Immune Microenvironment and Clinical Outcomes in Lung Cancer: A Prospective Cohort Study

Objective:

This prospective study aims to investigate the causal relationship between sleep disorders (e.g., insomnia, obstructive sleep apnea [OSA]) and alterations in the tumor immune microenvironment (TIME) in lung cancer patients, and to evaluate their joint effects on immunotherapy response and long-term prognosis.

Study Design:

Prospective observational cohort study with 3-year follow-up. Participants: Newly diagnosed primary lung cancer patients (NSCLC/SCLC) prior to treatment initiation (n = 400, target sample size*).

Exposure Groups: Stratified by sleep disorder status (confirmed via polysomnography [OSA] and validated questionnaires [e.g., PSQI ≥7 for insomnia]).

Study Overview

Detailed Description

  1. Background support Sleep disorders are common in patients with lung cancer, and the incidence is as high as 52.6%-70%, which is related to tumor progression and immunosuppression. Animal experiments have shown that circadian rhythm disruption can reshape the tumor microenvironment, suppress immune responses (such as macrophage dysfunction), and lead to accelerated tumor growth.

    o Clinical data show that the immune status of lung cancer patients, such as PD-L1 expression, T cell infiltration level, is closely related to treatment response and survival rate. However, there is still a lack of prospective research evidence on how sleep disorders affect the progression of lung cancer by regulating the immune microenvironment.

  2. Scientific hypothesis

It is hypothesized that sleep disorders (e.g., insomnia, circadian rhythm disruption) affect the tumor immune microenvironment of lung cancer patients through the following mechanisms:

  • inhibits the activity of anti-tumor immune cells, such as CD8+ T cells and NK cells;
  • promotes the infiltration of immunosuppressive cells (e.g., regulatory T cells, M2 macrophages);
  • up-regulates the expression of proinflammatory factors (e.g., IL-6, TNF-α) and inhibits immune checkpoints (e.g., PD-L1), thereby accelerating tumor progression and reducing treatment efficacy.

    2. Study design and methods

    1. Study type Prospective cohort study, stratified analysis of sleep disorder group and non-sleep disorder group, followed up for 1-3 years.
    2. Study subjects
  • Inclusion criteria: patients with newly diagnosed stage Ⅲ-Ⅳ non-small cell lung cancer (NSCLC) who had not received systemic therapy (chemotherapy, immunotherapy or radiotherapy);
  • Exclusion criteria: patients with serious mental illness, other malignant tumors or receiving sleep medication;
  • According to the Pittsburgh Sleep Quality Index (PSQI) score, PSQI≥7 were divided into sleep disorder group, PSQI<7 were divided into control group.

    3. Core indicators Indicator categories Specific indicators Sleep assessment PSQI score, polysomnography (total sleep time, sleep efficiency, and number of awakenings) 10 Immunological indicators of peripheral blood: CD4+/CD8+ T cell ratio, NK cell activity, IL-6, TNF-α levels; Tumor tissue: PD-L1 expression, tumor infiltrating lymphocytes (TILs) density, macrophage polarization (M1/M2) Clinical outcomes Time to progression (TTP), overall survival (OS), response rate (ORR) Auxiliary indicators: Anxiety and Depression Scale (HADS), quality of life score (EORTC QLQ-C30) 4. Data collection and follow-up

  • Baseline data: demographic characteristics, tumor stage, molecular subtype (e.g., KRAS mutation status).6
  • Dynamic monitoring: sleep quality, immune indicators and tumor burden (imaging) were evaluated every 3 months;
  • Interventions: Non-pharmacological interventions (e.g., cognitive behavioral therapy, light therapy) 2 were implemented in the sleep-disordered group, and changes in immune indicators were observed.

Study Type

Observational

Enrollment (Estimated)

400

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

      • Shanghai, China
        • Recruiting
        • Zhong Shan Hospital
        • Contact:
          • Shengyu Hao

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

N/A

Sampling Method

Probability Sample

Study Population

Study type: Prospective cohort study (single center).

Data sources:

Recruitment Organization: Patients with newly diagnosed primary lung cancer (confirmed histopathologically or cytologically) were enrolled at [Zhong shan hospital].

Time frame: January 2024 to December 2026 (recruitment period).

Data collection:

Clinical data: electronic medical record system (EMR), imaging reports, laboratory databases.

Biological samples: baseline tumor tissue (biopsy/surgical specimens), serial serum/plasma samples (baseline and treatment follow-up time points).

Description

Inclusion Criteria:

  • Patients with newly diagnosed stage III-IV non-small-cell lung cancer (NSCLC) not receiving systemic therapy (chemotherapy, immunotherapy, or radiotherapy)

Exclusion Criteria:

  • Patients with severe mental illness, other malignant tumors, or receiving sleep medication

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
Lung cancer-no SD
PSQI
Lung cancer-SD
PSQI

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
TTP
Time Frame: Baseline: Immune indicators assessed at initial diagnosis (pre-treatment)
Baseline: Immune indicators assessed at initial diagnosis (pre-treatment)

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 (Estimated)

May 1, 2025

Primary Completion (Estimated)

January 1, 2027

Study Completion (Estimated)

January 1, 2028

Study Registration Dates

First Submitted

April 16, 2025

First Submitted That Met QC Criteria

April 16, 2025

First Posted (Actual)

April 24, 2025

Study Record Updates

Last Update Posted (Actual)

April 24, 2025

Last Update Submitted That Met QC Criteria

April 16, 2025

Last Verified

April 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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