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Abstract 4276: Analysis of sensitivity of genomic signatures of therapeutic responses of non-small cell lung cancer in patient-derived xenograft models

Genomic alterations are important characteristics of therapeutic responses and therapeutic-resistance phenotype in cancer. These genomic alterations are complex and are determinants of aberrations in signaling pathways and their dynamics. A genomic signature includes a set of genomic alterations like gene expressions, mutations, copy number variations, etc. These genomic signatures are used as biomarkers for assigning treatment to individuals benefiting from a specific treatment plan and are validated using preclinical models such as patient-derived xenograft models (PDX models). We have proposed a methodology to optimize these genomic signatures in silico and evaluate their accuracy in vivo using PDX models of non-small cell lung cancer (NSCLC). Our integrative analysis has shown that different sizes and complexities of gene sets provide different layers of information applicable in designing therapeutic regimens. To eliminate sloppy signatures, it is possible to find optimized and sensitive genomic signatures for precision oncology. Citation Format: Iman Tavassoly, Ravi Iyengar. Analysis of sensitivity of genomic signatures of therapeutic responses of non-small cell lung cancer in patient-derived xenograft models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4276.