Author of

• 11905

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  P2.20 - Poster Session 2 - Early Detection and Screening (ID 173)

  • Event: WCLC 2013
  • Type: Poster Session
  • Track: Imaging, Staging & Screening
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/29/2013, 09:30 - 16:30, Exhibit Hall, Ground Level

  • 11909

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    P2.20-004 - DNA copy number aberrations in endobronchial lesions: a validated predictor for cancer (ID 1166)

    09:30 - 09:30  |  Author(s): M.A. Van De Wiel
    • Abstract

    Background
    Individuals who present with squamous metaplastic and dysplastic lesions are considered at high risk of lung cancer. However, these lesions behave erratically and only a minority progresses towards lung cancer. Therefore, biomarkers need to be discovered that can aid in assessing an individual’s risk for subsequent cancer. We recently identified a DNA copy number aberration (CNA)-classifier, including changes at 3p26.3-p11.1, 3q26.2-29, and 6p25.3-24.3, as a risk predictor for cancer in individuals presenting with endobronchial squamous metaplasia (van Boerdonk et al, AJRCCM, 2011). The current study was set out to validate this classifier in an independent series of endobronchial squamous metaplastic and dysplastic lesions.

    Methods
    DNA copy number profiles (i.e., chromosomal gains and losses) were determined in a set of endobronchial lesions (8 squamous metaplasia (SqM), and 28 dysplasias (Dys) of various grades), identified and biopsied during autofluorescence bronchoscopy, of 36 high-risk subjects using a nested case-control design. Of the 36 patients, 12 cases had a carcinoma in situ or invasive carcinoma at the same site at follow-up (median 11 months, range 4-24), while 24 controls remained cancer-free (median 78 months, range 21-142). DNA copy number profiles were related to lesion outcome. The prediction accuracy of the predefined CNA-based classifier to predict endobronchial carcinoma (in situ) in this series was determined.

    Results
    All SqM and Dys lesions of controls showed no or a relatively low number of CNAs (i.e., quiescent profile with on average 0.2% altered probe features, range 0.0 – 2.4%), while the majority of lesions of cases showed multiple CNAs (i.e. highly aberrant profile with on average 38.8% altered probe features, range 0.0 – 76.7%). The previously defined CNA-classifier demonstrated 92% accuracy for cancer (in situ) prediction in the current series. All nine subjects with CNA-classifier-positive endobronchial lesions at baseline had cancer as final outcome (i.e., a positive predictive value of 100%). The negative predictive value of the classifier was 89%, i.e., all 24 controls and 3 cases were classified as being low-risk.

    Conclusion
    CNAs are a highly accurate biomarker for assessing the progression risk of endobronchial squamous metaplastic and dysplastic lesions. This classifier could assist in selecting subjects with endobronchial lesions who might benefit from more aggressive therapeutic interventions.