Integrative Proteomic and Pharmacological Analysis of Colon Cancer Reveals the Classical Lipogenic Pathway with Prognostic and Therapeutic Opportunities

J Proteome Res. 2023 Mar 3;22(3):871-884. doi: 10.1021/acs.jproteome.2c00646. Epub 2023 Feb 2.

Abstract

Despite recent advancements, the high mortality rate remains a concern in colon cancer (CAC). Identification of therapeutic markers could prove to be a great asset in CAC management. Multiple studies have reported hyperactivation of de novo lipogenesis (DNL), but its association with the pathology is unclear. This study aims to establish the importance as well as the prognostic and therapeutic potential of DNL in CAC. The key lipogenic enzymes fatty acid synthase along with ATP citrate lyase were quantified using an LC-MS/MS-based targeted proteomics approach in the samples along with the matched controls. The potential capacity of the proteins to distinguish between the tumor and controls was demonstrated using random forest-based class prediction analysis using the peptide intensities. Furthermore, in-depth proteomics of DNL inhibition in the CAC cell line revealed the significance of the pathway in proliferation and metastasis. DNL inhibition affected the major signaling pathways, including DNA repair, PI3K-AKT-mTOR pathway, membrane trafficking, proteasome, etc. The study revealed the upregulation of 26S proteasome machinery as a result of the treatment with subsequent induction of apoptosis. Again, in silico molecular docking-based drug repurposing was performed to find potential drug candidates. Furthermore, we have demonstrated that blocking DNL could be explored as a therapeutic option in CAC treatment.

Keywords: ATP citrate lyase; colon adenocarcinoma; de novo lipogenesis; drug docking; fatty acid synthase; parallel reaction monitoring; programmed cell death; proteasome; proteomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromatography, Liquid
  • Colonic Neoplasms* / drug therapy
  • Colonic Neoplasms* / genetics
  • Humans
  • Molecular Docking Simulation
  • Phosphatidylinositol 3-Kinases
  • Prognosis
  • Proteomics*
  • Tandem Mass Spectrometry

Substances

  • Phosphatidylinositol 3-Kinases