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P. Gasparini



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    MO16 - Prognostic and Predictive Biomarkers IV (ID 97)

    • Event: WCLC 2013
    • Type: Mini Oral Abstract Session
    • Track: Medical Oncology
    • Presentations: 1
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      MO16.01 - Different Micro-RNA expression in lung adenocarcinoma with molecular driver events (ID 2316)

      16:15 - 16:20  |  Author(s): P. Gasparini

      • Abstract
      • Presentation
      • Slides

      Background
      Oncogenic driver alterations identify several types of lung adenocarcinoma with different prognosis and sensitivity to targeted agents. MicroRNAs (miRNAs) are a new class of non-coding RNAs involved in gene expression regulation. How miRNAs are dysregulated in lung cancer with ALK translocation, EGFR or KRAS mutation is largely unknown. In the present analysis we aimed to investigate miRNAs expression according to a specific molecular driver and to correlate miRNAs deregulation with patient outcome.

      Methods
      The study was conducted in a cohort of 67 lung adenocarcinoma patients (pts) including 17 ALK+ tumors, 11 ALK-/EGFR mutation+, 15 ALK-/KRAS mutation+, 24 ALK-/EGFR and KRAS wild-type and defined as triple negative cases. Matched normal lung tissues from 18 cases representative of the entire cohort were also included onto the analysis. RNA was isolated from formalin-fixed paraffin-embedded tissue (FFPE), using the Recover ALL kit (Ambion). NanoString nCounter system platform was used to generate the miRNA profile. We used Limma to test for differential expression analysis of data. Among the miRNAs evaluated, the miR-515 family expression between tissues was validated by RT-qPCRs, analyzed using the parametric t-test (unpaired, 2-tailed for validation).

      Results
      miRNA expression profile clusters distinctly ALK+ pts from ALK- and normal lung tissue. Within the ALK- group we found specific miRNAs subsets able to sub-stratify KRAS versus EGFR careers clustering sharply triple negative versus EGFR mutation+ and triple negative versus KRAS mutation+. miRNAs belonging to the miR-515 family seems to be the most deregulated in the ALK+ versus ALK-. Although their expression is stably high in normal tissues and ALK+ class, they are highly downregulated in KRAS mutated versus EGFR mutated and versus triple negative (p-value <0.001 for all comparisons).

      Conclusion
      miRNAs profile significantly differs in lung cancer pts with ALK translocation, EGFR mutations and KRAS mutations. Putative targets of deregulated miRNAs are under investigation to better define differences in driver-dependent pathway activation.

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