Immuno-oncology

Oral

Modular Repertoire Analysis Framework for Breast Cancer

Friday, June 16
6:15 PM - 7:30 PM

Transcriptional modular repertoire analysis has been developed and successfully used as a basis for the selection of biomarkers and development of multivariate transcriptional indicator of disease progression in patients with systemic lupus erythematosus or infectious diseases. In the context of cancer, understanding the molecular mechanisms underlying disease is an important step to improve diagnostic accuracy and to guide therapeutic decisions. Here, we employed our modular repertoire construction algorithm to identify coordinately expressed gene sets in 7 public breast cancer microarray datasets consisting of 1,860 transcriptome profiles. The analysis yielded a total of 40 modules. Functional characterization identified modules comprised of membrane receptors (M1.1), molecules involved in nucleic metabolic processing/DNA, RNA binding (M1.2, M2.3, M2.6, M4.3, M3.11), cell cycle/division (M1.3), cell adhesion/migration (M1.5, M5.3), protein localization (M2.4, M3.10, M5.1, M5.4), blood vessel development (M3.3), transmembrane transport activity (M2.9, M3.1, M3.4), immune response (M1.6, M2.5, M3.5), antigen presentation/processing (M5.2) and interferon response (M7.1), among others. This novel analytic framework will be employed to derive modular fingerprints of individual tumors, enabling in turn to refine the molecular classification of breast cancer and to develop more effective predictive and prognostic algorithms.

Darawan Rinchai

Postdoctoral Fellow
Sidra Medical and Research Center

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    Jessica Roelands

    PhD candidate
    Sidra Medical and Research Center

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      Wouter Hendrickx

      Postdoctoral Fellow
      Sidra Medical and Research Center

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        Davide Bedognetti

        Sidra Medical and Research Center

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          Damien Chaussabel

          Sidra Medical and Research Center

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            Sabri Boughorbel

            Sidra Medical and Research Center

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