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Fig. 1 | Genome Medicine

Fig. 1

From: Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers

Fig. 1

Graphical abstract/flow diagram of study. Top: In the WHO classification, tumors are typed by their histomorphological properties which are refined by additional molecular markers based on which targeted therapies are selected if actionable mutations are found. Middle: Novel molecular tumor classifications propose to ignore histological properties and fully rely on comprehensive molecular profiling dominated by genomic techniques based on which targeted therapies are selected, which are, however, not always effective if histotypes are ignored. Bottom: The approach we propose complements genomic profiling by the integration of proteomic data to estimate the functional relevance of mutations and predict the efficacy of targeted therapies. Our results show that actionable mutations are associated with distinct proteomic profiles and are indicative of drug response in cell line data

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