Utilizing Long-read Sequencing to Investigate the EGFR Landscape of EGFR Positive Lung Cancer Patients
EGFR Lung Canc
1 other identifier
observational
20
1 country
1
Brief Summary
EGFR gene mutations are some of the most commonly occurring mutations in non-small cell lung cancer. Investigators have developed a DNA instability model that estimates a risk score to assess the likelihood of an individual acquiring a cancer-linked mutation. The aim of this study is to collect blood from both those diagnosed with EGFR positive lung cancer and healthy individuals, evaluate their gene sequence surrounding the EGFR landscape and use the cancer positive and healthy sequences to validate the risk assessment model, which may one day be used to provide insight on susceptibility of getting EGFR positive lung cancer or potentially other cancer types.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jan 2025
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 23, 2024
CompletedFirst Posted
Study publicly available on registry
October 26, 2024
CompletedStudy Start
First participant enrolled
January 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedMarch 20, 2025
October 1, 2024
12 months
October 23, 2024
March 17, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Differences in DNA sequence of EGFR gene
Subjects who have EGFR positive lung cancer will have their gene sequence compared to those that are EGFR negative and do not have lung cancer to look for differences in the sequence.
From enrollment to end of data analysis at 6 months
Study Arms (2)
EGFR Positive Lung Cancer
Subjects diagnosed with EGFR positive lung cancer
Healthy Subjects
Subjects who do not have a cancer diagnosis
Interventions
A 10ml Blood sample will be taken and used to sequence the EGFR gene and surrounding DNA.
Subjects will have their DNA sequenced within and around the EGFR gene.
Eligibility Criteria
Female adult subjects who have EGFR positive lung cancer
You may qualify if:
- years old
- Biologically born female
- Diagnosed with EGFR positive lung cancer (Arm 1-Cancer group)
- No cancer diagnosis (Arm 2-health control)
You may not qualify if:
- less than 18 years of age
- Biologically born male
- Incarcerated at the time of participation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Our Lady of the Lake Regional Medical Center
Baton Rouge, Louisiana, 70808, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Director of Clinical Research
Study Record Dates
First Submitted
October 23, 2024
First Posted
October 26, 2024
Study Start
January 1, 2025
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
March 20, 2025
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- The data will be available and shared with collaborators upon completion of gene sequencing analysis of the final subject and remain available until IRB closure.
- Access Criteria
- Only de-identified data will be shared with collaborators for the purpose of drawing conclusions and publication. Data will be sharing through a secure FileS system which is a HIPAA compliant platform offered by LSUHSC which limits access to only those for which the data is sent and does so in a secure manner.
The demographic variables of age, race and gender will be shared with our external collaborator at Louisiana State University, Dept of Chemical Engineering in order to draw broad conclusions about the sequencing data and to use these general categories for presentation and publication. Data will be de-identified upon sharing.