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Utilizing Long-read Sequencing to Investigate the EGFR Landscape of EGFR Positive Lung Cancer Patients

Our Lady of the Lake Hospital · NCT06659458

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 18–100 · Women only
Healthy volunteers
Accepted
Study type
Observational
Target enrollment
20
US sites recruiting
1
Study start
January 1, 2025
Record last updated
March 20, 2025

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study is about

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.

Being studied: blood draw; Gene sequencing

Conditions: Lung Cancer - Non Small Cell; EGFR Exon 19 Deletion Mutation

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full criteria

Inclusion Criteria

  • 18-100 years old
  • Biologically born female
  • Diagnosed with EGFR positive lung cancer (Arm 1-Cancer group)
  • No cancer diagnosis (Arm 2-health control)

Exclusion Criteria

  • less than 18 years of age
  • Biologically born male
  • Incarcerated at the time of participation

Recruiting US locations

Study contacts (from the official record)

  • Cynthia Knox, MBA · 225-765-3344 · Cynthia.Knox@fmolhs.org
  • Christine LeBoeuf, DNP · 225-763-5956 · Christine.Leboeuf@fmolhs.org
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Utilizing Long-read Sequencing to Investigate the EGFR Landscape… (NCT06659458) | Bored Studies