Blood-based gene expression signatures in lung cancer
Simple SummaryContent extracted from patent full text and abstract with AI.
This invention provides a blood-based diagnostic method for lung cancer, utilizing gene expression signatures (RNA abundance) measured from a patient's blood sample. Specifically, the method involves analyzing the expression levels of at least four specific RNA transcripts (from a defined gene list) in the blood. By profiling these RNAs and using statistical or machine learning classifiers, the method can accurately detect the presence or absence of lung cancer, including both non-small cell and small cell types, at various stages. Kits and microarrays for implementing this method are also covered.
Use CasesContent extracted from patent full text and abstract with AI.
- Early detection of lung cancer in high-risk or asymptomatic individuals (e.g., smokers).
- Supplementary diagnostic tool alongside imaging for ambiguous or indeterminate pulmonary findings.
- Monitoring of lung cancer recurrence or progression in previously diagnosed patients via blood tests.
- Screening tool for patient populations where lung biopsies or imaging are impractical or risky.
- Facilitating large-scale epidemiological studies of lung cancer risk using minimally invasive blood draws.
BenefitsContent extracted from patent full text and abstract with AI.
- Minimally invasive: Requires only a blood sample, avoiding the need for surgical or tissue biopsies.
- Early diagnosis: Potentially enables detection of lung cancer at earlier, more treatable stages.
- High specificity and sensitivity: The approach can achieve high accuracy in distinguishing lung cancer cases from controls.
- Scalable: Amenable to automation and high-throughput testing platforms (e.g., microarrays, PCR).
- Applicable to diverse patient groups, including those with comorbidities where imaging or biopsy is less feasible.
- Objective and reproducible molecular readout, less dependent on operator interpretation than imaging.
Technical Classifications (CPCs)
Main Classifications
Chemistry & Materials Science
Sub Classifications
Biochemistry, Beer & Spirits
CPC Codes
Inventors & Applicants
Applicants
Univ Bonn
Univ Koeln
Patent Abstract
The invention pertains to a method for diagnosing or detecting lung cancer in human subjects based on ribonucleic acid (RNA), in particular based on RNA from blood.
Key Information
Publication No.
EP2520661A1
Family ID
46149399
Publication Date
2012-11-07
Application No.
EP11164471A
Application Date
2011-05-02
Priority Date
2011-05-02
Granted
No
Possible Cooperation
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