ArticleGenome medicine2025
Collateral metabolic vulnerabilities unveiled by loss of isozyme diversity in breast cancer.
Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundLoss of isozyme diversity (LID) refers to the selective dependency on a single isozyme following the functional collapse of its redundant counterparts, uncovering a metabolic vulnerability. This metabolic liability establishes LID as a novel framework for precision targeting strategy in cancer therapy.
methodsWe integrated a large-scale breast cancer multi-omics cohort to systematically delineate isozyme expression patterns and identify therapeutically promising LID targets across intrinsic molecular subtypes. Genomic and epigenetic data were employed to decipher the underlying causes of LID. Subsequent experiments were conducted to validate the collateral metabolic vulnerabilities arising from identified LID targets and investigate the associated mechanisms.
resultsOur analysis delineated the isozyme utilization patterns for metabolic reactions in breast cancer, which revealed widespread and significant LID phenomena. We further decoded the enrichment characteristics of these LID reactions and identified a set of potential clinically relevant LID targets across different subtypes. Further investigation revealed that copy number loss and epigenetic silencing predominantly drive these LIDs, as exemplified by luminal subtype-specific N-myristoyltransferase 2 (NMT2) deficiency caused by hypermethylation. Mechanistic studies demonstrated that NMT2 deficiency confers synthetic lethality with NMT1 inhibition, potentially through impaired myristoylation of the oncogenic effector FMR1 autosomal homolog 2 (FXR2). These findings underscored the potential of NMT inhibitors as viable therapeutic strategies for NMT2-deficient tumors.
conclusionsIn conclusion, this study constructed a comprehensive LID landscape across all breast cancer subtypes, advancing precision oncology through innovative metabolic targeting approaches.
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