Addition of microRNA Blood Test to Lung Cancer Screening Low Dose CT

NCT ID: NCT03452514

Last Updated: 2021-02-25

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

479 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-11-01

Study Completion Date

2020-09-15

Brief Summary

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To demonstrate that the specificity of the Hummingbird microRNA profile for the diagnosis of lung cancer in a cohort of patients who meet current eligibility criteria for lung cancer screening in the U.S. is superior to the specificity of LDCT.

Detailed Description

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This is a prospective, longitudinal, blinded, observational diagnostic study on 400 individuals undergoing lung cancer screening with low-dose computed tomography (LDCT).

There will be two patient cohorts: Cohort 1: individuals undergoing their first or subsequent annual LDCT screening study; and Cohort 2: individuals referred for a follow-up diagnostic chest CT scan due to a lung-RADS category 3 or 4 result on a previous LDCT scan.

At study enrollment a blood sample will be drawn prior to the LDCT scan. On this blood sample a novel lung cancer test relying on microRNA signatures will be evaluated. The results will be compared with the CT scan results and follow-up tests including pathology. Histologic results and follow-up data will be collected on all patients for a minimum of 12 months post-enrollment. During the follow-up period, the results of all diagnostic chest CT scans, lung biopsies or lung resections will be captured from the Partners electronic medical record and entered into the case report form (CRF).

Conditions

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Lung Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Cohort 1 - Low Dose CT (LDCT) Scan

Individuals undergoing their first or subsequent annual LDCT screening study

No interventions assigned to this group

Cohort 2 - Diagnostic CT Scan

Individuals referred for a follow-up diagnostic chest CT scan due to a lung-RADS category 3 or 4 result on a previous LDCT scan

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

1. Subject is undergoing LDCT screening for lung cancer.
2. Subject is 55 to 80 years of age.
3. Subject has a minimum 30 pack-year smoking history.
4. Subject has not quit smoking more than 15 years ago.
5. Subject is without symptoms attributable to lung cancer.
6. Subject is able and willing to provide informed consent.

Exclusion Criteria

1. Subject has a history of lung, gastrointestinal, hematological, breast, thyroid, or genitourinary cancers within the past ten years.
2. Subject is known to be infected with HIV, HBV, HCV, or tuberculosis or any other Biosafety Level 3 (BSL III) pathogen infections.
Minimum Eligible Age

55 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Hummingbird Diagnostics

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Amita Sharma, MD

Role: STUDY_DIRECTOR

Massachusetts General Hospital

Locations

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Massachusetts General Hospital

Boston, Massachusetts, United States

Site Status

Brigham and Women's Hospital

Boston, Massachusetts, United States

Site Status

Beth Israel Deaconess Medical Center

Boston, Massachusetts, United States

Site Status

Lahey Hospital & Medical Center

Burlington, Massachusetts, United States

Site Status

Countries

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United States

References

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Zyla J, Dziadziuszko R, Marczyk M, Sitkiewicz M, Szczepanowska M, Bottoni E, Veronesi G, Rzyman W, Polanska J, Widlak P. miR-122 and miR-21 are Stable Components of miRNA Signatures of Early Lung Cancer after Validation in Three Independent Cohorts. J Mol Diagn. 2024 Jan;26(1):37-48. doi: 10.1016/j.jmoldx.2023.09.010. Epub 2023 Oct 20.

Reference Type DERIVED
PMID: 37865291 (View on PubMed)

Other Identifiers

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HMBDx USA-0001

Identifier Type: -

Identifier Source: org_study_id

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