Blood-based gene expression signatures in lung cancer

Publication: EP2520661A1
Published: 2012-11-07
Family Size: 2
Granted: No

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

C12Q1/6886

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

For further information please contact the transfer office.