Descriptive Proteome Analysis to Investigate Context-Dependent Treatment Responses to OXPHOS Inhibition in Colon Carcinoma Cells Grown as Monolayer and Multicellular Tumor Spheroids.


Journal

ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658

Informations de publication

Date de publication:
21 Jul 2020
Historique:
received: 30 03 2020
accepted: 22 06 2020
entrez: 28 7 2020
pubmed: 28 7 2020
medline: 28 7 2020
Statut: epublish

Résumé

We have previously identified selective upregulation of the mevalonate pathway genes upon inhibition of oxidative phosphorylation (OXPHOS) in quiescent cancer cells. Using mass spectrometry-based proteomics, we here investigated whether these responses are corroborated on the protein level and whether proteomics could yield unique insights into context-dependent biology. HCT116 colon carcinoma cells were cultured as monolayer cultures, proliferative multicellular tumor spheroids (P-MCTS), or quiescent (Q-MCTS) multicellular tumor spheroids and exposed to OXPHOS inhibitors: nitazoxanide, FCCP, oligomycin, and salinomycin or the HMG-CoA-reductase inhibitor simvastatin at two different doses for 6 and 24 h. Samples were processed using an in-depth bottom-up proteomics workflow resulting in a total of 9286 identified protein groups. Gene set enrichment analysis showed profound differences between the three cell systems and confirmed differential enrichment of hypoxia, OXPHOS, and cell cycle progression-related protein responses in P-MCTS and Q-MCTS. Treatment experiments showed that the observed drug-induced alterations in gene expression of metabolically challenged cells are not translated directly to the protein level, but the results reaffirmed OXPHOS as a selective vulnerability of quiescent cancer cells. This work provides rationale for the use of deep proteome profiling to identify context-dependent treatment responses and encourages further studies investigating metabolic processes that could be co-targeted together with OXPHOS to eradicate quiescent cancer cells.

Identifiants

pubmed: 32715210
doi: 10.1021/acsomega.0c01419
pmc: PMC7376893
doi:

Types de publication

Journal Article

Langues

eng

Pagination

17242-17254

Informations de copyright

Copyright © 2020 American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

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Auteurs

Julia Steinmetz (J)

Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Wojciech Senkowski (W)

Department of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, Uppsala SE-751 05, Sweden.

Johan Lengqvist (J)

Department of Oncology-Pathology, Karolinska Institutet, Stockholm SE-171 77, Sweden.

Jenny Rubin (J)

Department of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, Uppsala SE-751 05, Sweden.

Elena Ossipova (E)

Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Stephanie Herman (S)

Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala SE-751 85, Sweden.

Rolf Larsson (R)

Department of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, Uppsala SE-751 05, Sweden.

Per-Johan Jakobsson (PJ)

Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet and Karolinska University Hospital, SE-171 76 Stockholm, Sweden.

Mårten Fryknäs (M)

Department of Medical Sciences, Cancer Pharmacology and Computational Medicine, Uppsala University, Uppsala SE-751 05, Sweden.

Kim Kultima (K)

Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala SE-751 85, Sweden.

Classifications MeSH