Evaluation ctDNA in Patients of Non-Small-Cell Lung Cancer Following Resection (EVOLUTION)
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ClinicalTrials.gov Identifier: NCT04238130 |
Recruitment Status : Unknown
Verified January 2020 by Si-Yu Wang, Sun Yat-sen University.
Recruitment status was: Recruiting
First Posted : January 23, 2020
Last Update Posted : February 5, 2020
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Sponsor:
Sun Yat-sen University
Collaborator:
Hangzhou Repugene Technology Co., Ltd.
Information provided by (Responsible Party):
Si-Yu Wang, Sun Yat-sen University
Tracking Information | |||||
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First Submitted Date | January 17, 2020 | ||||
First Posted Date | January 23, 2020 | ||||
Last Update Posted Date | February 5, 2020 | ||||
Actual Study Start Date | December 18, 2019 | ||||
Estimated Primary Completion Date | December 18, 2022 (Final data collection date for primary outcome measure) | ||||
Current Primary Outcome Measures |
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Original Primary Outcome Measures | Same as current | ||||
Change History | |||||
Current Secondary Outcome Measures | Not Provided | ||||
Original Secondary Outcome Measures | Not Provided | ||||
Current Other Pre-specified Outcome Measures | Not Provided | ||||
Original Other Pre-specified Outcome Measures | Not Provided | ||||
Descriptive Information | |||||
Brief Title | Evaluation ctDNA in Patients of Non-Small-Cell Lung Cancer Following Resection | ||||
Official Title | Evaluation Perioperative Dynamic Changes in ctDNA From Patients of Non-Small-Cell Lung Cancer Following Resection for Relapse Prediction | ||||
Brief Summary | Circulating tumor DNA (ctDNA) is a promising biomarker for noninvasive assessment of cancer burden. In this study, PEAC (Personalized Analysis of Cancer) technology was performed to detect the driver gene mutations from plasma samples and matched tumor tissue samples were detected by NGS platform at baseline. Investigators also applied ctDNA dynamic monitoring using PEAC technology in early stage NSCLC patients with driver mutations positive at baseline, to evaluate the feasibility and their potential clinical application. | ||||
Detailed Description | Circulating tumor DNA (ctDNA) is a promising biomarker for noninvasive assessment of cancer burden. Advances in DNA sequencing technologies and our understanding of the molecular biology of tumours have resulted in increased interest in exploiting ctDNA as a tool to facilitate earlier detection of cancer and thereby improve therapeutic outcomes by enabling early intervention. In this study, PEAC (Personalized Analysis of Cancer) technology was performed to detect the driver gene mutations from plasma samples and matched tumor tissue samples were detected by NGS platform at baseline. Investigators aim to evaluate whether driver gene mutations detected by PEAC can replace tissue testing results in patients with stage I to Ⅲ NSCLC. Investigators also applied ctDNA dynamic monitoring using PEAC technology in early stage NSCLC patients with driver mutations positive at baseline, to evaluate the feasibility and their potential clinical application. | ||||
Study Type | Observational | ||||
Study Design | Observational Model: Cohort Time Perspective: Prospective |
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Target Follow-Up Duration | Not Provided | ||||
Biospecimen | Retention: Samples With DNA Description: Tumor Tissue, Whole Blood
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Sampling Method | Non-Probability Sample | ||||
Study Population | Patients with stage I to III Non-Small Cell Lung Cancer (NSCLC) with R0 resection | ||||
Condition | Non-Small Cell Lung Cancer | ||||
Intervention | Diagnostic Test: Perioperative ctDNA Dynamic Monitoring
To apply ctDNA dynamic monitoring in early stage NSCLC patients with driver mutations positive at baseline
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Study Groups/Cohorts | Perioperative ctDNA Dynamic Monitoring Group
Samples were obtained at multiple pre-specified time points including before surgery (plasma samples),during surgery after tumor resection (tumor samples) and after surgery(plasma samples were obtained every 6 months from ctDNA positive patients at baseline in the following 2 years)
Intervention: Diagnostic Test: Perioperative ctDNA Dynamic Monitoring
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Publications * | Not Provided | ||||
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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Recruitment Information | |||||
Recruitment Status | Unknown status | ||||
Estimated Enrollment |
200 | ||||
Original Estimated Enrollment | Same as current | ||||
Estimated Study Completion Date | June 30, 2023 | ||||
Estimated Primary Completion Date | December 18, 2022 (Final data collection date for primary outcome measure) | ||||
Eligibility Criteria | Inclusion Criteria:
Exclusion Criteria:
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Sex/Gender |
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Ages | 18 Years to 75 Years (Adult, Older Adult) | ||||
Accepts Healthy Volunteers | No | ||||
Contacts | Contact information is only displayed when the study is recruiting subjects | ||||
Listed Location Countries | China | ||||
Removed Location Countries | |||||
Administrative Information | |||||
NCT Number | NCT04238130 | ||||
Other Study ID Numbers | GASTO1058 | ||||
Has Data Monitoring Committee | No | ||||
U.S. FDA-regulated Product |
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IPD Sharing Statement | Not Provided | ||||
Current Responsible Party | Si-Yu Wang, Sun Yat-sen University | ||||
Original Responsible Party | Same as current | ||||
Current Study Sponsor | Sun Yat-sen University | ||||
Original Study Sponsor | Same as current | ||||
Collaborators | Hangzhou Repugene Technology Co., Ltd. | ||||
Investigators |
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PRS Account | Sun Yat-sen University | ||||
Verification Date | January 2020 |