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Biology subjects

Cabot, M.

Publications and source records attributed to Cabot, M..

2 recordsLinked to original sources

Pan-tissue mitochondrial phenotyping reveals lower OXPHOS expression and function across tumor types

Targeting mitochondrial oxidative phosphorylation (OXPHOS) to combat cancer is increasingly being investigated using a variety of small molecule inhibitors. Clinical success for these inhibitors has been hampered due to serious side-effects potentially arising from the inability to discriminate between non-cancerous and cancerous mitochondria. Although mitochondrial oxidative metabolism is essential for malignant growth, mitochondria OXPHOS is also essential to the physiology of all organs, including high-energy-demand organs like the heart. In comparing tumor OXPHOS reliance to these preeminent oxidative organs it is unclear if a therapeutic window for targeting mitochondrial OXPHOS in cancer exists. To address this gap in knowledge, mitochondrial OXPHOS was comprehensively evaluated across various murine tumors and compared to both matched normal tissues and other organs. When compared to both matched normal tissues, as well as high OXPHOS reliant organs like heart, intrinsic expression of the OXPHOS complexes, as well as OXPHOS flux were consistently lower across distinct tumor types. Operating on the assumption that intrinsic OXPHOS expression/function predicts OXPHOS reliance in vivo, these data suggest that pharmacologic blockade of mitochondrial OXPHOS likely compromises bioenergetic homeostasis in healthy oxidative organs prior to impacting tumor mitochondrial flux in a clinically meaningful way. Although these data caution against the use of indiscriminate mitochondrial inhibitors for cancer treatment, considerable heterogeneity was observed across tumor types with respect to both mitochondrial proteome composition and substrate-specific flux, highlighting the possibility for targeting discrete mitochondrial proteins or pathways unique to a given tumor type.

biochemistry↗

Acute myeloid leukemia stratifies as two clinically relevant sphingolipidomic subtypes

Acute myeloid leukemia (AML) is an aggressive disease with complex and heterogeneous biology. Although several genomic classifications have been proposed, there is a growing interest in going beyond genomics to stratify AML. In this study, we profile the sphingolipid family of bioactive molecules in 213 primary AML samples and 30 common human AML cell lines. Using an integrative approach, we identify two distinct sphingolipid subtypes in AML characterized by a reciprocal abundance of hexosylceramide (Hex) and sphingomyelin (SM) species. The two Hex-SM clusters organize diverse samples more robustly than known AML driver mutations and are coupled to latent transcriptional states. Using transcriptomic data, we develop a machine-learning classifier to infer the Hex-SM status of AML cases in TCGA and BeatAML clinical repositories. The analyses show that the sphingolipid subtype with deficient Hex and abundant SM is enriched for leukemic stemness transcriptional programs and comprises an unappreciated high-risk subgroup with poor clinical outcomes. Our sphingolipid-focused examination of AML identifies patients least likely to benefit from standard of care and raises the possibility that sphingolipidomic interventions could switch the subtype of AML patients who otherwise lack targetable alternatives. Key Points1.Sphingolipidomics separates acute myeloid leukemia (AML) patients and cell lines into two subtypes. 2.The subtype with low hexosylceramide and high sphingomyelin defines a new high-risk subtype with poor clinical outcomes.

systems biology↗