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• W2143578099 abstract "Major advances in conventional molecular, single-gene research over recent decades have been integrated into evidence-based multimodal treatment of cancer, improving oncological and quality-of-life outcomes of millions of patients worldwide. Nonetheless, current mortality rates from cancer remain high, even in developed countries such as the USA. The advent of targeted therapy a decade ago resulted in hope that resistance to modern systemic chemotherapy could be overcome by adding biological agents to modern cytotoxic agents. However, more recent large-scale randomized trials and the US FDA decision to withdraw previously approved agents now provide strong evidence for the limitations of current systemic treatments consisting of cytotoxic and biologic agents. Innovations are urgently needed in cancer drug and biomarker development, but which is the most promising emerging research direction from the many research strategies proposed? Next-generation sequencing (NGS) technology [1] now provides an unprecedented ability to discover most or even the whole set of causal mutations underlying major diseases and improve our understanding of genetic regulation [2]. In the coming years, we can expect an explosion in the number of completely sequenced cancer genomes of patients with early or advanced disease for many cancer types [3,4]. To use NGS at maximum capability, and to link these genetic data with corresponding phenotypes, intensive efforts are underway in biomedical, mathematical, computational and bioinformatics in how to manage and analyze the tremendous amount of sequence data that will emerge [5]. The ultimate goal is the understanding of the genotype–phenotype map that opens new ways of developing robust biomarkers for tailoring novel highly active therapeutics in cancer [6,7]." @default.
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• W2143578099 date "2011-01-01" @default.
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• W2143578099 title "New molecular oncology-changing era: prospects and challenges of cancer genome and integrative systems biology" @default.
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• W2143578099 doi "https://doi.org/10.1586/era.10.176" @default.
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