【摘 要】
：
In contrast to the recent exploration of next-generation sequencing data,the applications of large-scale proteomic data in cancer research and patient care
【机 构】
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生物信息和计算生物系,美国德克萨斯大学MD安德森癌症中心,休斯顿,美国
【出 处】
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第七届全国生物信息学与系统生物学学术大会
论文部分内容阅读
In contrast to the recent exploration of next-generation sequencing data,the applications of large-scale proteomic data in cancer research and patient care have been relatively limited.This is despite proteins comprising the basic functional units in various biological processes and being major targets for cancer therapy.Reverse-phase protein arrays (RPPAs) offer a powerful functional proteomic approach to elucidate the molecular basis of human cancer and to evaluate biomarkers and mechanisms underlying sensitivity and resistance to cancer therapy1,2.This rapidly maturing quantitative antibody-based assay can assess a large number of protein markers in many samples in a cost-effective,sensitive and high-throughput manner.Its value has been documented through hundreds of papers.Our team at MD Anderson Cancer Center has been a leader in the implementation of this technology.Our platform currently contains ~300 protein markers,covering all major signaling pathways.Using this platform,we have characterized >10,000 patient samples through The Cancer Genome Atlas (TCGA)3.Integrating TCGA data and RPPA data from other independent patient cohorts,we have developed protein-based prognostic models for stratifying patients into different risk groups4,5.Moreover,we have characterized more than 700 cancer cell lines.
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