Optimal EGFR TKIs Treatment Strategies for Lung Adenocarcinoma Harboring EGFR Exon 19 Deletion Variants

NCT ID: NCT04370860

Last Updated: 2022-08-17

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

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Recruitment Status

COMPLETED

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-05-01

Study Completion Date

2021-12-31

Brief Summary

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To determine the optimal EGFR TKIs treatment strategies for lung adenocarcinoma harboring EGFR exon 19 deletion variants

Detailed Description

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RNA extraction: The investigators will extract total RNA from cell lysates by using Tri-reagent (Molecular Research Center, Inc., Cincinnati, Ohio) and an RNA Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer's instruction. RNA obtained from the Mini Kit column will be eluted. The quantity and quality of the purified RNA will be evaluated using a NanoDrop ND-1000 spectrophotometer will be stored at -80 °C for further mutational analyses.

Data acquisition: The investigators will record and follow participants' clinical information, including ethnicity, age, gender, smoking status, histological types, lung cancer stage (the TNM status), metastatic sites, ECOG score, CT/CXR imaging, chemotherapy or radiation treatment at the time of diagnosis of lung cancer and through the entire clinical courses. Specific marker such as TTF1, is used to ensure the diagnosis of primary lung tumor. Clinicopathologic stage assigns according to the seventh tumor-node-metastasis classification. The investigators assess the treatment responses according to the Response Evaluation Criteria in Solid Tumors (RECIST) using the unidimension method, and record the best response achieved per treatment. Treatment response, progression-free survival, and overall survival are recorded prospectively for further analysis.

Statistical analysis: All categorical variables will be analyzed with Pearson's χ² test, except where a small size required the use of Fisher's exact test. The progression-free survival curve and overall survival will be plotted by the Kaplan-Meier method and compared by the log-rank test. Multivariate analysis for overall survival will be performed using the Cox's proportional hazards model. Two-sided p-values of less than 0.05 is considered significant. All analyses will be performed using SPSS software (version 16.0 for Windows; SPSS Inc.).

Conditions

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EGFR Exon 19 Mutation Tumor Progression

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients have signed the informed consent (201103013RC and 201111039RIC) before 2019/12/31 and authorized the Institutional Review Board of Nation Taiwan University Hospital to review the new study for approving the usage of residual specimens.
* The residual samples from various sources, including surgical tissues, computed tomography (CT)-guided needle aspiration and/or biopsy, echo-guided needle aspiration and /or biopsy, bronchoscopic biopsy or brushing, bronchoalveolar lavage (BAL), endobronchial ultrasound guided needle aspiration, and lymph node aspiration, and pleural effusion specimens. The samples will be collected at the time of diagnostic procedure performed. All patients should sign an informed consent for purpose of using samples for molecular genetic testing.
* 1000 residual specimens will be used for the study.

Exclusion Criteria

* Patients didn't sign the informed consent (201103013RC, 201111039RIC)
* The residual specimens are not qualified.
Minimum Eligible Age

20 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Taiwan University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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National Taiwan University Hospital

Taipei, , Taiwan

Site Status

Countries

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Taiwan

Other Identifiers

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202002122RINC

Identifier Type: -

Identifier Source: org_study_id

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