ctDNA as a Biomarker for Treatment in Advanced NSCLC

NCT ID: NCT05486988

Last Updated: 2022-08-04

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

UNKNOWN

Total Enrollment

500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-07-31

Study Completion Date

2025-06-30

Brief Summary

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

The dynamic monitoring of circulating tumor DNA aims to evaluate the response and progression-free survival of short-course chemotherapy (2 cycles) combined with immunotherapy in patients with locally advanced unresectable or metastatic non-small cell lung cancer.

Detailed Description

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

For patients with locally advanced unresectable or metastatic non-small cell lung cancers, 4-6 cycles of chemotherapy plus immunotherapy with immune maintenance therapy is currently the standard treatment. Short-course chemotherapy (2 cycles) combined with immunotherapy has been proved effective in some patients. Recently, circulating tumor DNA (ctDNA) has been detected in the cell-free component of peripheral blood samples in advanced non-small cell lung cancers and many other solid tumors. To identify the patients who can benefit from the short-course chemotherapy (2 cycles) combined with immunotherapy, dynamic monitoring of ctDNA in both 4-6 cycles and 2 cycles chemotherapy patients could be a promising alternative test.

Conditions

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

Non-small Cell Lung Cancer

Study Design

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

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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

2 cycles chemotherapy combined with PD-1/PD-L1 inhibitors

Participants receive 2 cycles chemotherapy combined with PD-1/PD-L1 inhibitors, after achieving CR/PR/SD according to RECIST v1.1, then will continue immune monotherapy maintenance therapy.

Immunotherapy

Intervention Type DRUG

PD-1/PD-L1 inhibitors

Chemotherapeutic Agent

Intervention Type DRUG

2 cycles

4-6 cycles chemotherapy combined with PD-1/PD-L1 inhibitors

Participants receive 4\~6 cycles chemotherapy combined with PD-1/PD-L1 inhibitors, after achieving CR/PR/SD according to RECIST v1.1, then will continue immune monotherapy maintenance therapy.

Immunotherapy

Intervention Type DRUG

PD-1/PD-L1 inhibitors

Chemotherapy

Intervention Type DRUG

4\~6 cycles

Interventions

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

Immunotherapy

PD-1/PD-L1 inhibitors

Intervention Type DRUG

Chemotherapeutic Agent

2 cycles

Intervention Type DRUG

Chemotherapy

4\~6 cycles

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)Histologically confirmed non-small cell lung cancer; (2)Locally advanced unresectable or metastatic disease; (3)Male or female aged over 18 years and under 80 years; (4)Subjects must not have received any immunotherapy for advanced lung cancer, and have an estimated life expectancy of more than 12 weeks (5)Eastern Cooperative Oncology Group (ECOG) score as 0 \~ 1; (6)No EGFR mutation, ALK or ROS1 rearrangement; (7)Adequate tumor tissue for PD-L1 testing; (8)With at least one measurable lesion confirmed by the investigator according to Response Evaluation Criteria in Solid Tumors (RECIST) (version 1.1); (9)The subjects must sign the informed consent, indicating that they understand the purpose of the study, understand the necessary procedures of the study, and are willing to participate in the study.

Exclusion Criteria

* (1)Serious immune-related adverse events occurred; (2)Participation in other clinical study; (3)With the history of autoimmune disease or immunodeficiency disease; (4)History of another primary malignancy within 5 years; (5)Without complete clinical information; (6)Pregnant or lactating women; (7)Other conditions in which the investigator believes that the patient should not participate in this trial.
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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

Fuzhou General 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.

900TH Hospital of Joint Logisti'cs Support Force

Fuzhou, Fujian, 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.

Zongyang Yu, Ph.D

Role: CONTACT

13509327806

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Zongyang YU, PhD

Role: primary

13509327806

Ying CHEN, Master

Role: backup

19959234577

Other Identifiers

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

SCOG006

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

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