- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05669586
Organoids Predict Therapeutic Response in Patients With Multi-line Drug-resistant Lung Cancer
March 17, 2024 updated by: Affiliated Hospital of Jiangnan University
A Single-arm, Single-center Clinical Trial of Patient-derived Lung Cancer Organoids for Predicting Therapeutic Response in Patients With Multiline Drug-resistant Lung Cancer
This is a single-center, single-arm, open and exploratory clinical study.
The purpose of this study was to evaluate the consistency and accuracy of the organogenic (PDO) model for patients with lung cancer, to predict the clinical efficacy of anticancer drugs, and to speculate and select personalized treatment regiments for patients with lung cancer who are resistant to multi-line standard therapies.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
As for the difficult problem of drug resistance in lung cancer after multi-line therapy, there is no standard consensus in clinical diagnosis and treatment, and relevant treatment plans are still being explored and the efficacy is unknown.
Patient-derived organoid cells (PDOs) have become a reliable tumor model for drugs in vitro.
PDOs is a personalized tumor model with similar characteristics to the original tumor.
This model can maintain the molecular and cellular composition of the original tumor, reflect the heterogeneity of the original tumor, and realize in vitro high-throughput rapid screening of drug sensitivity, accurately predict the drug response of patients, so as to provide rapid clinical drug feedback.
In recent years, lung cancer organoids have also been rapidly established to reproduce the tissue structure of primary lung tumors, screen the sensitivity of therapeutic drugs, formulate lung cancer treatment programs, and realize individualized tumor treatment of lung cancer.
Patients were highly matched to their PDO responses, with 84.43% accuracy, 78.01%
sensitivity and 91.97% specificity.
Study Type
Interventional
Enrollment (Estimated)
50
Phase
- Phase 2
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
- Name: quan liu, doctor
- Phone Number: 15995299079
- Email: quanliu@jiangnan.edu.cn; quanliu.lq@outlook.com
Study Locations
-
-
Jiangsu
-
Wuxi, Jiangsu, China, 214000
- Recruiting
- Affiliated Hospital of Jiangnan University
-
Contact:
- liu quan, doctor
- Phone Number: 15995299079
- Email: quanliu@jiangnan.edu.cn; quanliu.lq@outlook.com
-
Principal Investigator:
- liu quan, doctor
-
-
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
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Male or female patients: ≥18 years old.
- For non-small cell lung cancer confirmed by histology or cytology, there is no standard protocol recommendation in the guidelines for disease progression after multiline standard therapy.
- Expected survival ≥3 months.
- Sign informed consent.
- The patient is willing and able to adhere to the protocol during the study, including receiving treatment and scheduled visits and examinations, including follow-up.
- Accessible to biopsy and/or surgery sample of metastasis and/or primitive tumour
- At least one previously unirradiated lesion that can be accurately measured at baseline with longest diameter ≥ 10 mm (must have a short lymph node excluding axis ≥ 15 mm) according to RECIST criteria with computed tomography (CT), magnetic resonance imaging (MRI) or clinical examination for accurate repeated measures. Or an unevaluable lesion, including but not limited to pleural and ascites, bone metastasis, etc.
Exclusion Criteria:
- Participated in clinical trials of other drugs within four weeks.
- Histologically or cytologically confirmed small cell, large cell neuroendocrine or carcinoid.
- Not accessible to biopsy and/or surgery sample.
- Not enough lung tissue for a histological analysis or the remaining lung tissue is not enough to perform a routine pathological analysis.
- There are clinical symptoms or diseases of the heart that cannot be well controlled, such as: NYHA class 2 or higher heart failure, unstable angina pectoris, myocardial infarction within 1 year, clinically significant supraventricular or ventricular arrhythmia requiring treatment or intervention of patients.
- For female subjects: should be surgically sterilized, postmenopausal patients, or agree to use a medically approved contraceptive during the study treatment period and within 6 months after the end of the study treatment period; Serum or urine pregnancy test must be negative within 7 days and must be non-nursing. Male subjects: Patients who should be surgically sterilized, or who agree to use a medically-approved contraceptive method during the study treatment period and within 6 months after the end of the study treatment period.
The patient has active pulmonary tuberculosis, bacterial or fungal infection (≥ grade 2 of NCI-CTC, 3rd edition); HIV infection, HBV infection, HCV infection.
Those who have a history of psychotropic substance abuse and cannot quit or have mental disorders.
- The subject has any active autoimmune disease or has a history of autoimmune disease (such as the following, but not limited to: interstitial pneumonia, uveitis, enteritis, hepatitis, hypophysitis, nephritis, hyperthyroidism, thyroid Reduced function; subjects with vitiligo or complete remission of asthma in childhood without any intervention in adulthood can be included; subjects with asthma requiring bronchodilator medical intervention are not included).
- According to the judgment of the investigator, there are concomitant diseases that seriously endanger the patient's safety or affect the patient's completion of the study.
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
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Organoid-Guided Antitumor therapy
lung cancer specimens are obtained from lung tumor surgery or biopsy or malignant pleural effusion are used to grow organoids.
Then organoids are used for drug sensitivity tests to obtain the sensitivity to drugs.
Patients will receive a relatively sensitive antitumor regimen based on the test results.
|
Antitumor therapy guided by organoid will be given to Multi-line Drug-resistant Non-small Cell Lung Cancer patients.
|
|
No Intervention: Physician-decided Antitumor therapy
According to the National Comprehensive Cancer Network's (NCCN) Guidelines for lung Cancer, physicians will determine antitumor protocols or case report.
They're also not sure what the drug susceptibility test says.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Progression-free survival
Time Frame: 1 year
|
Time from randomization to any disease progression and/or death, defined according to strict RECIST (Response Evaluation Criteria in Solid Tumors) v1.1.
Lesion will be assessed in comparison to baseline measurements.
|
1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall survival
Time Frame: 72 weeks
|
Randomize time to date of death or last known alive date calculation.
|
72 weeks
|
|
Disease control rate
Time Frame: an average of 1 year
|
The proportion of patients with a best response grade of complete response, partial response, or stable disease that has shrunk or stabilized for a period of time.
|
an average of 1 year
|
|
Changes in tumor volume shrinking
Time Frame: 6 months
|
Change in tumor volume reduction from randomization to 6 months
|
6 months
|
|
Prediction of the response to treatment by the patient-derived organoids
Time Frame: 2 years
|
The drug sensitivity was tested on patient-derived tumour organoids, which is compared with clinical response of the chemo- or targeted therapy treatment.
|
2 years
|
|
The rate of successful generation of lung cancer organoids
Time Frame: 2 years
|
Successful generation of lung cancer organoids (growth of lung tumoral cells).
|
2 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: quan liu, doctor, Affiliated Hospital of Jiangnan University
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)
February 1, 2023
Primary Completion (Estimated)
May 31, 2024
Study Completion (Estimated)
May 31, 2026
Study Registration Dates
First Submitted
December 20, 2022
First Submitted That Met QC Criteria
December 20, 2022
First Posted (Actual)
January 3, 2023
Study Record Updates
Last Update Posted (Actual)
March 19, 2024
Last Update Submitted That Met QC Criteria
March 17, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 136286
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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