Multi-omic analysis reveals metabolic pathways that characterize right-sided colon cancer liver metastasis Journal Article


Authors: Morris, M. T.; Jain, A.; Sun, B.; Kurbatov, V.; Muca, E.; Zeng, Z.; Jin, Y.; Roper, J.; Lu, J.; Paty, P. B.; Johnson, C. H.; Khan, S. A.
Article Title: Multi-omic analysis reveals metabolic pathways that characterize right-sided colon cancer liver metastasis
Abstract: There are well demonstrated differences in tumor cell metabolism between right sided (RCC) and left sided (LCC) colon cancer, which could underlie the robust differences observed in their clinical behavior, particularly in metastatic disease. As such, we utilized liquid chromatography-mass spectrometry to perform an untargeted metabolomics analysis comparing frozen liver metastasis (LM) biobank samples derived from patients with RCC (N = 32) and LCC (N = 58) to further elucidate the unique biology of each. We also performed an untargeted RNA-seq and subsequent network analysis on samples derived from an overlapping subset of patients (RCC: N = 10; LCC: N = 18). Our biobank redemonstrates the inferior survival of patients with RCC-derived LM (P = 0.04), a well-established finding. Our metabolomic results demonstrate increased reactive oxygen species associated metabolites and bile acids in RCC. Conversely, carnitines, indicators of fatty acid oxidation, are relatively increased in LCC. The transcriptomic analysis implicates increased MEK-ERK, PI3K-AKT and Transcription Growth Factor Beta signaling in RCC LM. Our multi-omic analysis reveals several key differences in cellular physiology which taken together may be relevant to clinical differences in tumor behavior between RCC and LCC liver metastasis. © 2023 Elsevier B.V.
Keywords: egfr; laterality; metabolomics; ros; tgf-β; bile acids
Journal Title: Cancer Letters
Volume: 574
ISSN: 0304-3835
Publisher: Elsevier Ireland Ltd.  
Date Published: 2023-10-10
Start Page: 216384
Language: English
DOI: 10.1016/j.canlet.2023.216384
PUBMED: 37716465
PROVIDER: scopus
PMCID: PMC10620771
DOI/URL:
Notes: Article -- Source: Scopus
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  1. Philip B Paty
    499 Paty
  2. Zhaoshi Zeng
    87 Zeng
  3. Engjel Muca
    6 Muca