Nature Metabolism · 2023 · 57 citations · 60 references
MedicineMolecular BiologyOncologyCarcinogenesisMetabolismMetabolomicsCancer MetabolismCancer MetabolomicsColorectal CancerMetabolic Pathway AnalysisMetabolic ReprogrammingMetabolic Reprogramming In CancerCancer Metabolic PhenotypingMetabolic Pathway ProfilingMetabolic PhenotypingMethionine CycleOncogenic Driver MutationsOncogenic DysregulationTumor MetabolismUntargeted Metabolite Profiling
Abstract The genomic landscape of colorectal cancer (CRC) is shaped by inactivating mutations in tumour suppressors such as APC , and oncogenic mutations such as mutant KRAS . Here we used genetically engineered mouse models, and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that untargeted metabolic profiling can be applied to stratify intestinal tissues according to underlying genetic alterations, and use mass spectrometry imaging to identify tumour, stromal and normal adjacent tissues. By identifying ions that drive variation between normal and transformed tissues, we found dysregulation of the methionine cycle to be a hallmark of APC-deficient CRC. Loss of Apc in the mouse intestine was found to be sufficient to drive expression of one of its enzymes, adenosylhomocysteinase (AHCY), which was also found to be transcriptionally upregulated in human CRC. Targeting of AHCY function impaired growth of APC-deficient organoids in vitro, and prevented the characteristic hyperproliferative/crypt progenitor phenotype driven by acute deletion of Apc in vivo, even in the context of mutant Kras . Finally, pharmacological inhibition of AHCY reduced intestinal tumour burden in Apc Min/+ mice indicating its potential as a metabolic drug target in CRC.
60
Gene Selection for Cancer Classification using Support Vector Machines
Isabelle Guyon, Jason Weston, S. Barnhill et al. · Machine Learning · 2002 · 9.8K citations · Full text
The Perseus computational platform for comprehensive analysis of (prote)omics data
Stefka Tyanova, Tikira Temu, Pavel Sinitcyn et al. · Nature Methods · 2016 · 8.9K citations
Comprehensive molecular characterization of human colon and rectal cancer