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W.E. Berdel



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    MINI 34 - RNA and miRNA (ID 162)

    • Event: WCLC 2015
    • Type: Mini Oral
    • Track: Biology, Pathology, and Molecular Testing
    • Presentations: 1
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      MINI34.02 - Prognostic Impact of Bcl-2 Depends on Tumor Histology and Expression of MALAT-1 lncRNA in NSCLC (ID 3221)

      18:35 - 18:40  |  Author(s): W.E. Berdel

      • Abstract
      • Slides

      Background:
      Apoptosis is a crucial pathway in tumor growth and metastatic development. Apoptotic proteins regulate the underlying molecular cascades and are thought to modulate the tumor response to chemotherapy and radiation. However, the prognostic value of the expression of apoptosis regulators in localized non-small-cell lung cancer (NSCLC) is still unclear.

      Methods:
      We investigated the protein expression of apoptosis regulators Bcl-2, Bcl-xl, Mcl-1, and pp32/PHAPI, and the expression of the lncRNA MALAT-1 in tumor samples from 383 NSCLC patients (median age: 65.6 years; 77.5% male; paraffin embedded tissue microarrays) For statistical analysis correlation tests, Log rank tests and Cox proportional hazard models were applied.

      Results:
      Tumor histology was significantly associated with the expression of Bcl-2, Bcl-xl and Mcl-1 (all p<0.001). Among the tested apoptotic markers only Bcl-2 demonstrated prognostic impact (HR=0.64, p=0.012). For NSCLC patients with non-adenocarcinoma histology, Bcl-2 expression was associated with increased overall survival (p=0.036). Besides tumor histology, prognostic impact of Bcl-2 was also found to depend on MALAT-1 lncRNA expression. Gene expression analysis of A549 adenocarcinoma cells with differential MALAT-1 lncRNA expression demonstrated an influence on the expression of Bcl-2 and its interacting proteins.

      Conclusion:
      Bcl-2 expression was specifically associated with superior prognosis in localized NSCLC. An interaction of Bcl-2 with MALAT-1 lncRNA expression was revealed, which merits further investigation for risk prediction in resectable NSCLC patients.

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