Molecular Classification of Cancer Based on Genomic Alteration Profile

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Based on the high-resolution genomic alteration profile of clinical samples, we classify cancers into several groups (Figure 2). Such molecular classification of cancer (for example lung cancer) is found to be significantly associated with clinical features (such as smoking habit, gender, EGFR mutation frequency and prognosis). This classification will also reveal the combination of genetic alterations in oncogenic pathways that lead to cancer. Using such valuable information, we re-analyze pathological phenotypes of cancer cells and search for novel therapeutic targets and biomarkers that predict the drug sensitivity or clinical outcome.


Figure 2
Two-dimensional hierarchical clustering analysis of cancer based on the combinations of genetic alterations.