Clinical Evaluation of Genetron Lung Cancer Panel in Non-small Cell Lung Cancer Patients
- Conditions
- Non-Small Cell Lung Cancer
- Interventions
- Diagnostic Test: Genetron lung cancer panel
- Registration Number
- NCT05023746
- Lead Sponsor
- Genetron Health
- Brief Summary
The purpose of this trail is to evaluate the performance of Genetron lung cancer panel in non-small cell lung cancer patients using semiconductor sequencing method.
- Detailed Description
This trial follows the principle of synchronous blinding. The enrolled cases are coded, and the enrolled samples are detected with Genetron lung cancer panel and comparison methods. The detection results are compared, and the samples that are inconsistent with the detection results of similar products on the market are reviewed by the the Sanger sequencing method, when the site detection results compared with Sanger sequencing method are inconsistent, Sanger's detection results are recognized. The safety and effectiveness of this panel are confirmed and evaluated. Meanwhile, the accuracy of this panel for the following drug companion diagnostic tests: EGFR gene 19 exon deletion and L858R point mutation in gefitinib tablets, erlotinib hydrochloride and icotinib hydrochloride tablets, T790M point mutation in methanesulfonate acid osimertinib tablets, ALK gene fusion in crizotinib capsules.
The results were determined independently according to the cutoff values or interpretation requirements provided by each method, and relevant statistics were used to evaluate clinical application performance of Genetron lung cancer panel.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1052
- Cancer samClinically diagnosed as non-small cell lung samples (mainly lung adenocarcinoma and some lung squamous cell carcinoma, adenosquamous carcinoma, large cell carcinoma, etc.), and a small number of other cancer types are enrolled as interference samples.
- Collect some samples of relevant medical information before and after the use of targeted drugs. This part of the samples should have relevant previous molecular diagnosis results.
- Able to provide samples in time according to the requirements of the plan: samples for DNA/RNA extraction: 10 pieces of 10 µm thickness for each sample or 10 pieces of paraffin rolls. Samples for FISH experiment: 5 slices of 3-4µm thickness.
- The pathological examination conforms to the types of tissue samples listed in the above table. The HE staining results show that the tumor content is not less than 50%, and the paraffin slice damage should be avoided.
- The sample should have corresponding basic clinical information, including: patient visiting number/medical record number/specimen number, age, gender, pathological diagnosis result, molecular diagnosis result (if any).
- Those who do not meet any of the above conditions are excluded. Reason: The included non-small cell lung adenocarcinoma samples and normal samples should have statistical significance, and the conclusions obtained should be scientific and valid. The selection of subjects for this study, while excluding research-related influencing factors, has no adverse effect on the health of the subjects.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Clinically diagnosed as non-small cell lung cancer samples Genetron lung cancer panel -
- Primary Outcome Measures
Name Time Method Efficacy of Genetron Lung Cancer Panel 2 months The main purpose of this study is: by evaluating the Genetron Lung Cancer Panel to compare the results of simultaneous detection with similar products on the market and the Sanger sequencing method, and to calculate the coincidence rate and consistency of the panel and the comparison method.
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (4)
The First Hospital of Jilin University
🇨🇳Jilin, China
The Second Affiliated Hospital Zhejiang University School of Medcine
🇨🇳Zhejiang, China
Henan Cancer Hospital
🇨🇳Zhengzhou, China
Cancer Hospital Chinese Academy of Medical Sciences
🇨🇳Beijing, China