A Prospective Study: the Impact of Sleep Disturbances on Immunotherapy in Patients With Lung Cancer
NCT ID: NCT06953765
Last Updated: 2025-05-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
NOT_YET_RECRUITING
350 participants
OBSERVATIONAL
2025-06-01
2028-12-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Sleep and Immune Checkpoint Inhibitors
NCT04070651
Sleep and Circadian Rhythm Study in Head and Neck Cancer Patients
NCT05099952
Cancer, Obesity/Overweight and Insomnia Study
NCT03542604
Assessing Sleep and Circadian Rhythms in Primary Brain Tumors Patients
NCT04669574
S365: A Multicenter Longitudinal Cohort of Sleep Health
NCT06760000
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Aimsthe aim of this study was to evaluate the potential relationship between sleep disorders and tumor immunity in lung cancer and provide a new perspective on tumor immunotherapy strategies.
Primary outcome: Changes in tumor immune microenvironment: The effect of sleep disorders on tumor immune microenvironment was evaluated by immune cell infiltration analysis and immune marker expression level evaluation. Expression levels of immune checkpoint molecules: the changes of immune checkpoint molecules such as PD-1 and PD-L1 in tumor tissues of patients were detected.
Secondary outcomes:
The overall survival (OS) and progression-free survival (PFS) were analyzed. Biomarker changes: such as changes in the levels of cytokines (IL-6, TNF-α, etc.). Patient quality of life: The impact of sleep quality on patient general health was assessed using a standardized quality of life questionnaire.
Study DesignThis study was a single-center, prospective, observational cohort study, combining biomarker analysis with clinical follow-up.
The sample size estimate anticipated enrollment of 300 patients
Inclusion/Exclusion/Withdrawal Criteria Inclusion criteria:
Patients diagnosed with non-small cell lung cancer (NSCLC) or small cell lung cancer (SCLC).
Age: 18 to 70 years old. Patients were required to have stage I-IV disease at diagnosis and to have consented to participate in the study.
Patients had not received immunotherapy for 6 months before enrollment.
Exclusion criteria:
There were severe comorbidities (such as severe cardiovascular disease, end-stage liver and kidney disease, etc.).
Patients with psychiatric conditions or inability to complete sleep assessments.
Pregnant or lactating women. Patients who have received immunotherapy or other therapies that interfere with the immune microenvironment.
Prospective study period from July 2025 to December 2027: patient collection, outcome follow-up, data collection and analysis; January to June 2028: data analysis, paper writing July 2028 \~ December 2028: Submission of papers Statistical analysis plan Descriptive statistics: Descriptive statistical analysis was performed on the basic characteristics of patients, sleep quality scores, and immune markers.
Survival analysis: Kaplan-Meier survival curve was used to analyze the relationship between sleep quality and overall survival (OS) and progression-free survival (PFS) of lung cancer patients. log-rank test was used to compare the difference of survival time between different sleep quality groups.
Multivariate Cox regression analysis: the effect of sleep quality on immune microenvironment and survival outcome was further analyzed after adjusting for clinical covariates (such as age, gender, lung cancer stage, treatment regimen, etc.).
Immune cell infiltration analysis: The degree of immune cell infiltration in patients with different sleep quality was analyzed by immunohistochemistry and flow cytometry, and its relationship with immunotherapy response was explored.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
lung cancer-sleep disorders
Lung cancer patients treated with PD1 immunotherapy were divided into sleep disorders and non-sleep disorders groups.
PSQI
Prospective observational cohort study: Cohort o: Stratified according to baseline sleep disorder severity (PSQI score ≥7 vs. \<7).
PQSI
PQSI-Sleep quality assessment scale
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
PSQI
Prospective observational cohort study: Cohort o: Stratified according to baseline sleep disorder severity (PSQI score ≥7 vs. \<7).
PQSI
PQSI-Sleep quality assessment scale
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
Be able to understand the study and provide informed consent
Exclusion Criteria
18 Years
70 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Shanghai Zhongshan Hospital
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Zilong Liu
Role: PRINCIPAL_INVESTIGATOR
Shanghai Zhongshan Hospital
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
2025-4-24-Prospective-SD-PD1
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.