Author of

• 10497

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  P1.01 - Poster Session 1 - Cancer Biology (ID 143)

  • Event: WCLC 2013
  • Type: Poster Session
  • Track: Biology
  • Presentations: 1
  • Moderators:
  • Coordinates: 10/28/2013, 09:30 - 16:30, Exhibit Hall, Ground Level

  • 10510

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    P1.01-013 - Differences in gene expression profiles and carcinogenesis pathways in cisplatin resistance of four cancers (ID 269)

    12:18 - 12:32  |  Author(s): Y. Yang
    • Abstract

    Background
    Cisplatin-based chemotherapy is the standard therapy used to many cancers. However, its efficacy is largely limited by the acquired drug resistance. So far, little is known about the RNA expression changes in the cisplatin resistant cancers. Identification the RNAs related to the cisplatin resistance may provide precise clues for cancer therapy.

    Methods
    Expression profiling of 7 cancer cell lines that performed using oligonucleotide microarray analysis got from GEO database. Bioinformatic analyses such as the Gene Oncology and KEGG pathway were used to identify genes and pathways specifically associated with cisplatin resistance. Signaling transduction network was established to identify the core genes in regulating cancer cell cisplatin resistance.

    Results
    A number of genes were differentially expressed in 7 groups of cancer cell lines. They mainly participated in 85 GO terms and 11 pathways in common. All differential gene interactions in the Signal-Net were analyzed. CTNNB1, PLCG2 and SRC were the most significantly altered.Figure 1

    Conclusion
    Bioinformatics may help excavate and analyze large amounts of data in microarrays by means of rigorous experimental planning, scientific statistical analysis and collection of complete data about cancer cell cisplatin resistance. In the present study, a novel differential gene expression pattern was constructed and advanced study will provide new targets for diagnosis and mechanism of cancer cisplatin resistance.