The metabolic determinants of cancerous transformation

Mutations in enzymes including the Tricarboxylic acid (TCA) cycle enzymes Succinate Dehydrogenase (SDH), Fumarate Hydratase (FH), and Isocitrate Dehydrogenase (IDH) have been shown to cause hereditary and sporadic forms of cancer. These recent discoveries provide evidence of an unanticipated cancer-causing role of mutated metabolic enzymes. Yet, the contribution of dysregulated metabolism and the mechanisms underpinning its link to carcinogenesis remain poorly understood.

FH mutations cause Hereditary Leiomyomatosis and Renal Cell Cancer (HLRCC), a cancer predisposition syndrome characterised by benign tumours of smooth muscle in the skin and uterus, plus an aggressive and highly metastatic form of renal cancer. HLRCC patients inherit a mutant copy of FH and cancer formation is caused by the loss of the wild type allele (loss of heterozygosity, LOH).

A significant question in cancer biology is why the loss of the metabolic enzyme FH should predispose to cancer in specific tissues, with distinct severity and progression.

Our laboratory seeks to understand the contribution of dysregulated metabolism to tissue-specific carcinogenesis using HLRCC as a unique model system. Indeed, while rare, HLRCC provides a tractable paradigm where it is clear that a metabolic event initiates cancer. Furthermore, HLRCC individuals represent an unmet need in terms of cancer prevention and management.

Our work has multiple implications. (1) it will provide a mechanistic understanding of the role of metabolism and small molecule metabolites in the early phases of cancer transformation and how metabolism contributes to tissue-specific tumorigenesis. (2) it will generate experimental and computation tools to identify metabolic vulnerabilities in cancer cells that we can use as pharmacological targets for cancer therapy. (3) it will apply metabolomics and multi-omics analyses, to mouse and human models to identify metabolic markers of disease initiation for clinical application in early detection and for patient stratification.