Clinical Study of NKG2D CAR-NK Combined with PD-1 Monoclonal Antibody in the Treatment of ATC

NCT ID: NCT06856278

Last Updated: 2025-03-04

Study Results

Results pending

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.

Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

PHASE1/PHASE2

Total Enrollment

30 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-02-22

Study Completion Date

2029-03-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The patients with anaplastic thyroid cancer were treated with CAR-NK immune cells combined with PD-1 monoclonal antibody, and the safety and tolerability of the patients were observed and evaluated.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Anaplastic Throid Carcinoma

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

treated with CAR-NK immune cells combined with PD-1 monoclonal antibody.

Group Type EXPERIMENTAL

NKG2D CAR-NK with PD-1 Antibody

Intervention Type DRUG

Treated with CAR-NK immune cells combined with PD-1 monoclonal antibody.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

NKG2D CAR-NK with PD-1 Antibody

Treated with CAR-NK immune cells combined with PD-1 monoclonal antibody.

Intervention Type DRUG

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. Age 18-75 years (including boundary values), male or female.
2. Be diagnosed with anaplastic thyroid cancer histopathologically with a measurable lesion≥1cm.
3. Liver and kidney function is good, and can tolerate treatment.
4. Be able to cooperate with the completion of treatment and follow-up work.
5. No other systemic diseases, including other malignancies.

Exclusion Criteria

1. Need to breastfeed the baby or have fertility needs;
2. Immune system diseases;
3. Diseases of the blood system;
4. Mental system diseases;
5. Interstitial pneumonia, lung disease, etc.;
6. Failure to follow rules of this study.
Minimum Eligible Age

18 Years

Maximum Eligible Age

75 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Zhejiang Provincial People's Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Zhejiang Provincial People's Hospital

Hangzhou, Zhejiang, China

Site Status

Countries

Review the countries where the study has at least one active or historical site.

China

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Minghua Ge

Role: CONTACT

+86-0571 87666666

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

CAR-NK GeT

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.