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N. Bolstad



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    P3.06 - Poster Session/ Screening and Early Detection (ID 220)

    • Event: WCLC 2015
    • Type: Poster
    • Track: Screening and Early Detection
    • Presentations: 1
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      P3.06-011 - Unique Combination of 6 Circulating microRNAs for Early Detection of Lung Cancer (ID 2130)

      09:30 - 09:30  |  Author(s): N. Bolstad

      • Abstract
      • Slides

      Background:
      Worlwide, lung cancer is the primary cause of cancer death. Today 75% of patients are diagnosed in a locally advanced or metastatic inoperable stage, and a new tool for early detection of lung cancer is urgently needed in order to improve the outcome. Circulating microRNAs have emerged as stable, non-invasive and promising biomarkers for diagnosis, prognostication and prediction in cancer. The purpose of this study was to identify circulating microRNAs for detection of early stage lung cancer, capable of discriminating lung cancer patients from those with chronic obstructive pulmonary disease (COPD) and healthy normal individuals.

      Methods:
      We profiled the expression of 756 unique microRNAs in sera from 38 patients with NSCLC, 16 patients suffering from COPD and 16 healthy volunteers, to explore the potential of the microRNAs as diagnostic biomarkers. For validation of our results, we analyzed serum from an independent cohort of high-risk individuals enrolled in the IELCAP screening trial (n=161) using RT-qPCR

      Results:
      Focusing on microRNAs upregulated in sera from lung cancer patients, we identified a unique set of 6 microRNAs with significantly higher abundance compared with sera from COPD patients and healthy normals. Validation of the 6-miR signature demonstrated a sensitivity of 86% and specificity of 79.3%

      Conclusion:
      Considering their accessibility and stability, circulating microRNAs can be a diagnostic tool for clinicians in the future, and may lead to increased fraction of lung cancers diagnosed in an early curative stage. The 6-miR signature may be a basis for a screening study and can easily be implemented in the clinic to identify those who should be further examined for lung cancer

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