Proteomic study on nintedanib in gastric cancer cells

PeerJ. 2024 Feb 21:12:e16771. doi: 10.7717/peerj.16771. eCollection 2024.

Abstract

Background: Gastric cancer is a very common gastrointestinal tumor with a high mortality rate. Nintedanib has been shown to significantly reduce tumor cell proliferation and increase apoptosis in gastric cancer cells in vitro. However, its systemic action mechanism on gastric cancer cells remains unclear. A high-throughput proteomic approach should help identify the potential mechanisms and targets of nintedanib on gastric cancer cells.

Methods: The effects of nintedanib on the biological behavior of gastric cancer cells were evaluated. A cytotoxic proliferation assay was performed to estimate the half maximal inhibitory concentration (IC50). AGS cells were divided into control, and nintedanib-treated groups (5 µM, 48 h), and differential protein expression was investigated using tandem mass tags (TMT) proteomics. The molecular mechanisms of these differentially expressed proteins and their network interactions were then analyzed using bioinformatics, and potential nintedanib targets were identified.

Results: This study identified 845 differentially expressed proteins in the nintedanib-treated group (compared to the control group), comprising 526 up-regulated and 319 down-regulated proteins. Bioinformatics analysis revealed that the differentially expressed proteins were primarily enriched in biological pathways for branched-chain amino acid metabolism, steroid biosynthesis, propionate metabolism, fatty acid metabolism, lysosome, peroxisome, and ferroptosis. Key driver analysis revealed that proteins, such as enoyl-CoA hydratase and 3-hydroxyacyl CoA dehydrogenase (EHHADH), isocitrate dehydrogenase 1 (IDH1), acyl-CoA oxidase 1 (ACOX1), acyl-CoA oxidase 2 (ACOX2), acyl-CoA oxidase 3 (ACOX3), and acetyl-CoA acyltransferase 1 (ACAA1) could be linked with nintedanib action.

Conclusion: Nintedanib inhibits the proliferation, invasion, and metastasis of gastric cancer cells. The crossover pathways and protein networks predicted by proteomics should provide more detailed molecular information enabling the use of nintedanib against gastric cancer.

Keywords: Nintedanib; Differential protein; Gastric cancer; Proteomics.

MeSH terms

  • Acyl-CoA Oxidase / metabolism
  • Humans
  • Indoles*
  • Liver / metabolism
  • Peroxisomal Bifunctional Enzyme / metabolism
  • Proteomics
  • Stomach Neoplasms* / drug therapy

Substances

  • nintedanib
  • Acyl-CoA Oxidase
  • Peroxisomal Bifunctional Enzyme
  • Indoles

Associated data

  • figshare/10.6084/m9.figshare.23804079.v1

Grants and funding

This work was supported by the National Health Commission Key Laboratory of Gastrointestinal Tumor Diagnosis and Treatment 2022 Master/Postdoctoral Fund Program (NHCDP2022015); the Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor of National Health Commission (2019PT320005); and the Key Talent Project of the Organization Department of Gansu provincial Party Committee (2020RCXM076). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.